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Hernández-Cacho A, García-Gavilán JF, Atzeni A, Konstanti P, Belzer C, Vioque J, Corella D, Fitó M, Vidal J, Mela V, Liang L, Torres-Collado L, Coltell O, Babio N, Clish C, Hernando-Redondo J, Martínez-González MÁ, Wang F, Moreno-Indias I, Ni J, Dennis C, Ruiz-Canela M, Tinahones FJ, Hu FB, Salas-Salvadó J. Multi-omics approach identifies gut microbiota variations associated with depression. NPJ Biofilms Microbiomes 2025; 11:68. [PMID: 40295565 PMCID: PMC12038053 DOI: 10.1038/s41522-025-00707-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Accepted: 04/17/2025] [Indexed: 04/30/2025] Open
Abstract
The gut microbiota plays a potential role in the pathophysiology of depression through the gut-brain axis. This cross-sectional study in 400 participants from the PREDIMED-Plus study investigates the interplay between gut microbiota and depression using a multi-omics approach. Depression was defined as antidepressant use or high Beck Depression Inventory-II scores. Gut microbiota was characterized by 16S rRNA sequencing, and faecal metabolites were analysed via liquid chromatography-tandem mass spectrometry. Participants with depression exhibited significant differences in gut microbial composition and metabolic profiles. Differentially abundant taxa included Acidaminococcus, Christensenellaceae R-7 group, and Megasphaera, among others. Metabolomic analysis revealed 15 significantly altered metabolites, primarily lipids, organic acids, and benzenoids, some of which correlated with gut microbial features. This study highlights the interplay between the gut microbiota and depression, paving the way for future research to determine whether gut microbiota influences depression pathophysiology or reflects changes associated with depression.
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Affiliation(s)
- Adrián Hernández-Cacho
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Jesús F García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
| | - Alessandro Atzeni
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Virginia Mela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Oscar Coltell
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Computer Languages and Systems, Jaume I University, Castellón, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Clary Clish
- The Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Javier Hernando-Redondo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Miguel Á Martínez-González
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Fenglei Wang
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Isabel Moreno-Indias
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Jiaqi Ni
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Francisco J Tinahones
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
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Shyam S, Nishi SK, Ni J, Martínez-González MÁ, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Martín Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Gaforio JJ, Ruiz-Canela M, Fernández-Carrión R, Goday A, Garcia-Rios A, Torres-Collado L, Cueto-Galán R, Zulet MA, Prohens L, Casas R, Castillo-Hermoso MA, Tojal-Sierra L, Am GP, García-Arellano A, Sorlí JV, Castañer O, Arenas-Larriva AP, Oncina-Cánovas A, Goñi L, Fitó M, Babio N, Salas-Salvadó J. Pasta Consumption and Cardiometabolic Risks in Older Adults with Overweight/Obesity: A Longitudinal Analysis. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2025:1-13. [PMID: 39970054 DOI: 10.1080/27697061.2025.2463454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Revised: 01/08/2025] [Accepted: 02/02/2025] [Indexed: 02/21/2025]
Abstract
OBJECTIVE Low Glycemic Index (GI) diets improve cardiometabolic risk (CMR) specifically in those with insulin resistance. However, the prospective association between pasta (a low GI staple) consumption and CMR is unclear. We evaluated the longitudinal association of pasta consumption with CMR (after 2 y: body weight, body mass index (BMI), waist circumference (WC), blood pressure (BP); after 1 y: fasting blood glucose, HbA1c, HDL-cholesterol and triglycerides) in ∼6000 older adults (50% women) at high CMR. METHODS Consumption of pasta and other staples were determined as the cumulative average of reported intakes at baseline and annual follow-up visits from food frequency questionnaires and defined as energy-adjusted (residuals) and the number of daily servings. Longitudinal association between pasta consumption and CMR was assessed in PREDIMED-Plus participants (Trail registry number: ISRCTN89898870). RESULTS Mean (SD) dry pasta intake was 9(7) g/d at Year 1 and 8(6) g/d at Year 2. In linear regression models, higher pasta intake was associated with greater 2 y decreases in body weight, BMI and WC. When fully adjusted, every additional serving of pasta was associated with significantly greater 2 y decreases in body weight (-2.23(-3.47, -0.98 kg), BMI (-0.86(-1.27, -0.34 kg/m2) and WC (-1.92 (-3.46, -0.38 cm). There was no evidence of association with other outcomes. Additionally, substituting equivalent servings of pasta for white bread or white rice or potato was significantly associated with greater 2 y decreases in body weight and BMI. Replacing white bread with pasta was associated with higher 2 y reductions in WC. Replacing potato with pasta was associated with improvements in diastolic BP and HDL-cholesterol. Conclusions: Equivalent serving substitutions of white bread/white rice/potato with pasta may help reduce CMR in older Mediterranean adults with overweight/obesity. While such substitutions are feasible where pasta consumption aligns with the local gastronomic culture, the feasibility and potential CMR benefit of such interventions should be confirmed in other populations.
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Affiliation(s)
- Sangeetha Shyam
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K Nishi
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- School of Nutrition, Faculty of Community Services, Toronto Metropolitan University, Toronto, Ontario, Canada
| | - Jiaqi Ni
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, Reus, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Osakidetza Basque Health Service, Araba University Hospital, Bioaraba Health Research Institute, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante (UMH-ISABIAL), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), Universitat de Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Biosanitaria IBS-Granada; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autónoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Departamento de Ciencias, Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
| | - Emilio Ros
- IDIBAPS, Hospital Clínic, Barcelona, Spain
| | - José J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Rebeca Fernández-Carrión
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante (UMH-ISABIAL), Alicante, Spain
| | - Raquel Cueto-Galán
- Department of Public Health and Psychiatry, School of Medicine, University of Malaga, Málaga, Spain
- Biomedical Research Institute of Malaga (IBIMA), Málaga, Spain
- Applied Health Artificial Intelligence Network (REDIAS), Spain
| | - M Angeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain
| | - Lara Prohens
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), Universitat de Barcelona, Barcelona, Spain
| | - M Angeles Castillo-Hermoso
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Biosanitaria IBS-Granada; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Osakidetza Basque Health Service, Araba University Hospital, Bioaraba Health Research Institute, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Gómez-Pérez Am
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Ana García-Arellano
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio P Arenas-Larriva
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Alejandro Oncina-Cánovas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Universidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante (UMH-ISABIAL), Alicante, Spain
| | - Leticia Goñi
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Nancy Babio
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, Reus, Spain
- Alimentació, Nutrició, Desenvolupament i Salut Mental, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Díez-Ricote L, Cuadrado-Soto E, Pastor-Fernández A, de la Peña G, Martinez-Botas J, Castañer O, Martínez-González MA, Salas-Salvado J, Fernández-Marcos PJ, Gómez-Coronado D, Ordovas J, Daimiel L. Effect of a Multifactorial Weight Loss Intervention on HDL Cholesterol Efflux Capacity and Immunosenescence: A Randomized Controlled Trial. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2025; 44:166-179. [PMID: 39384179 DOI: 10.1080/27697061.2024.2407942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 09/17/2024] [Accepted: 09/19/2024] [Indexed: 10/11/2024]
Abstract
OBJECTIVE Life expectancy and obesity prevalence are increasing worldwide, leading to an increase in the prevalence of cardiovascular disease. High-density lipoprotein (HDL) functionality and immunosenescence play key roles in cardiovascular disease, longevity, and quality of aging. Both molecular hallmarks of aging are impacted by obesity and metabolic syndrome and can be modulated by lifestyle. We aimed to evaluate the effect of a lifestyle intervention focused on an energy-reduced Mediterranean diet (erMedDiet), physical activity (PA), and behavioral support on HDL cholesterol efflux capacity (CEC) and immunosenescence. METHOD CEC and immunosenescent T cells were determined in 60 participants from the control group (CG) and 56 from the intervention group (IG) of the PREDIMED-Plus trial at baseline and after 1 and 3 years of follow-up. PREDIMED-Plus is a randomized, controlled, parallel-group trial with an IG of erMedDiet, PA promotion, and behavioral support for weight loss and a CG of usual primary care advice. The sample included 116 volunteers from the PREDIMED-Plus-IMDEA subsample of the PREDIMED-Plus trial. Men aged 55 to 75 years and women aged 60 to 75 years with a body mass index between 27 and 40 kg/m2 and metabolic syndrome were included. RESULTS Participants within the IG had significantly improved CEC (2.42% and 10.69% after 1 and 3 years of follow-up) and a decreased in senescent T cell profile (-3.32% ± 12.54% and -6.74% ± 11.2%, p < 0.001, after 1 and 3 years of follow-up). Baseline obesity status impacted the response to the intervention. CONCLUSIONS A weight loss intervention program with erMedDiet and PA ameliorated senescence markers.
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Affiliation(s)
- Laura Díez-Ricote
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Esther Cuadrado-Soto
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Andrés Pastor-Fernández
- Metabolic Syndrome Group-BIOPROMET, Madrid Institute for Advanced Studies-IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Gema de la Peña
- Servicio de Bioquímica-Investigación, Hospital Universitario Ramón y Cajal-IRYCIS, Madrid, Spain
| | - Javier Martinez-Botas
- Servicio de Bioquímica-Investigación, Hospital Universitario Ramón y Cajal-IRYCIS, Madrid, Spain
| | - Olga Castañer
- Center for Biomedical Research in Obesity and Nutrition Physiopathology Network (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - M A Martínez-González
- Center for Biomedical Research in Obesity and Nutrition Physiopathology Network (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Jordi Salas-Salvado
- Center for Biomedical Research in Obesity and Nutrition Physiopathology Network (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
| | - Pablo J Fernández-Marcos
- Metabolic Syndrome Group-BIOPROMET, Madrid Institute for Advanced Studies-IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Diego Gómez-Coronado
- Servicio de Bioquímica-Investigación, Hospital Universitario Ramón y Cajal-IRYCIS, Madrid, Spain
| | - Jose Ordovas
- Center for Biomedical Research in Obesity and Nutrition Physiopathology Network (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain
- Nutrition and Genomics Laboratory, JM_USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain
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4
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Martínez‐Montoro JI, Cornejo‐Pareja I, Díaz‐López A, Sureda A, Toledo E, Abete I, Babio N, Tur JA, Martinez‐Gonzalez MA, Martínez JA, Fitó M, Salas‐Salvadó J, Tinahones FJ. Effect of an intensive lifestyle intervention on cystatin C-based kidney function in adults with overweight and obesity: From the PREDIMED-Plus trial. J Intern Med 2025; 297:141-155. [PMID: 39723807 PMCID: PMC11771574 DOI: 10.1111/joim.20038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2024]
Abstract
BACKGROUND Large-scale trials evaluating a multicomponent lifestyle intervention aimed at weight loss on kidney function are lacking. METHODS This was a post hoc analysis of the "PREvención con DIeta MEDiterránea-Plus" (PREDIMED-Plus) randomized controlled trial, including patients with overweight/obesity and metabolic syndrome, measured cystatin C and creatinine. Participants were randomly assigned (1:1) to an intensive weight loss lifestyle intervention (intervention group [IG]) consisting of an energy-restricted Mediterranean diet (MedDiet), physical activity promotion and behavioral support, or a control group (CG) receiving ad libitum MedDiet recommendations. The primary outcome was between-group differences in cystatin C-based kidney function (cystatin C-based estimated glomerular filtration rate-eGFRcys-and combined cystatin C-creatinine-based eGFR-eGFRcr-cys) change from baseline to 12 and 36 months. Secondary outcomes included between-group differences in creatinine-based eGFR (eGFRcr) and urinary albumin-to-creatinine ratio (UACR) change and the predictive capacity of these formulas at baseline for new-onset chronic kidney disease (CKD). RESULTS A total of 1909 participants (65 ± 5 years, 54% men) were included. Twelve-month decline in eGFRcys, eGFRcr-cys, and eGFRcr was greater in the CG compared to the IG, with between-group differences of -1.77 mL/min/1.73 m2 [95% confidence interval -2.92 to -0.63], -1.37 [-2.22 to -0.53], and -0.91 [-1.74 to -0.71], respectively. At 36 months, the decline in eGFRcr-cys and eGFRcr was greater in the CG. No between-group differences in UACR were found. Significant adjusted areas under the curve for baseline eGFRcys and eGFRcr-cys were observed for incident CKD at 36 months, which were similar to those for eGFRcr and UACR. CONCLUSIONS In older adults with overweight/obesity and metabolic syndrome, the PREDIMED-Plus intervention may be an optimal approach to preserve kidney function.
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Affiliation(s)
- José Ignacio Martínez‐Montoro
- Department of Endocrinology and NutritionVirgen de la Victoria University HospitalMálagaSpain
- Instituto de Investigación Biomédica de Málaga (IBIMA)—Plataforma BIONANDMálagaSpain
- Faculty of MedicineUniversity of MálagaMálagaSpain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
| | - Isabel Cornejo‐Pareja
- Department of Endocrinology and NutritionVirgen de la Victoria University HospitalMálagaSpain
- Instituto de Investigación Biomédica de Málaga (IBIMA)—Plataforma BIONANDMálagaSpain
- Faculty of MedicineUniversity of MálagaMálagaSpain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
| | - Andrés Díaz‐López
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Nutrition and Mental Health (NUTRISAM) Research GroupUniversitat Rovira i Virgili (URV)ReusSpain
- Institut d'Investigació Sanitària Pere Virgili (IISPV)ReusSpain
| | - Antoni Sureda
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Health Research Institute of the Balearic Islands (IdISBa)Palma de MallorcaSpain
- Research Group on Community Nutrition & Oxidative StressUniversity of Balearic Islands‐IUNICSPalma de MallorcaSpain
| | - Estefania Toledo
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Department of Preventive Medicine and Public HealthIdiSNA, University of NavarraPamplonaSpain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Department of NutritionFood Sciences, and PhysiologyCenter for Nutrition ResearchUniversity of NavarraPamplonaSpain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Institut d'Investigació Sanitària Pere Virgili (IISPV)ReusSpain
- Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT‐DSM)Universitat Rovira I VirgiliReusSpain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Health Research Institute of the Balearic Islands (IdISBa)Palma de MallorcaSpain
- Research Group on Community Nutrition & Oxidative StressUniversity of Balearic Islands‐IUNICSPalma de MallorcaSpain
| | - Miguel A. Martinez‐Gonzalez
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Department of Preventive Medicine and Public HealthIdiSNA, University of NavarraPamplonaSpain
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Department of NutritionFood Sciences, and PhysiologyCenter for Nutrition ResearchUniversity of NavarraPamplonaSpain
- Nutritional Genomics and Epigenomics GroupIMDEA Food, CEI UAM + CSICMadridSpain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Cardiovascular Risk and Nutrition Research Group (CARIN)Hospital del Mar Research Institute (IMIM)BarcelonaSpain
| | - Jordi Salas‐Salvadó
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
- Institut d'Investigació Sanitària Pere Virgili (IISPV)ReusSpain
- Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT‐DSM)Universitat Rovira I VirgiliReusSpain
| | - Francisco J. Tinahones
- Department of Endocrinology and NutritionVirgen de la Victoria University HospitalMálagaSpain
- Instituto de Investigación Biomédica de Málaga (IBIMA)—Plataforma BIONANDMálagaSpain
- Faculty of MedicineUniversity of MálagaMálagaSpain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos IIIMadridSpain
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5
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Perez-Bootello J, Berna-Rico E, Abbad-Jaime de Aragon C, Cova-Martin R, Goni L, Ballester-Martinez A, Jaen-Olasolo P, Mehta N, Gelfand JM, Martinez-Gonzalez MA, Gonzalez-Cantero A. Impact of the Mediterranean Diet on Patients With Psoriasis: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2025; 14:e64277. [PMID: 39879606 PMCID: PMC11822308 DOI: 10.2196/64277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Revised: 08/29/2024] [Accepted: 11/25/2024] [Indexed: 01/31/2025] Open
Abstract
BACKGROUND Psoriasis is an inflammatory disease primarily treated through molecular-targeted therapies. However, emerging evidence suggests that dietary interventions may also play a role in managing inflammation associated with this condition. The Mediterranean diet (MedDiet), prevalent in southern European countries, has been widely recognized for its ability to reduce cardiovascular mortality, largely due to its anti-inflammatory properties. This anti-inflammatory potential has prompted interest in exploring the MedDiet's role in immune-mediated diseases, including psoriasis. Observational studies have indicated potential benefits, such as reductions in the Psoriasis Area and Severity Index. However, there is a need for well-designed clinical trials to address the methodological limitations of these studies and to establish specific dietary recommendations for psoriasis. OBJECTIVE This study aims to evaluate the impact of an intensive dietary intervention based on the MedDiet in patients with psoriasis. The study will assess the effects of this intervention on skin involvement, metabolic parameters, and inflammatory cytokines. In addition, the emotional well-being and quality of life of participants will be evaluated using validated questionnaires. A methodological analysis will also be conducted to enhance the design of future large-scale clinical trials. METHODS An open-label, single-blinded (evaluator) randomized controlled trial was designed to assess the impact of a high-intensity MedDiet intervention in patients with mild-to-moderate psoriasis. A total of 38 patients will be randomly assigned into 2 groups-an intervention group receiving the MedDiet intervention and a control group receiving standard care. The intervention group will participate in dietary education sessions aimed at adopting the MedDiet over 4 months, with monthly monitoring by experienced nutritionists. Participants will receive 500 mL of extra virgin olive oil per week, along with informative materials, recipes, and weekly menus. In contrast, the control group will receive standard low-fat diet recommendations without nutritionist monitoring. All participants will undergo a baseline visit, a 2-month follow-up visit, and a final visit at 4 months. Blood tests will be conducted at the beginning and end of the study. This study protocol was approved by the Institutional Review Board of the Hospital Ramón y Cajal (Madrid) in July 2023. RESULTS Enrollment concluded in October 2024, with data collection set to finish by February 2025. The findings will be presented at national and international conferences and published in peer-reviewed journals. CONCLUSIONS This protocol outlines the design of a clinical trial that implements the MedDiet in patients with psoriasis to evaluate its benefits on skin involvement, systemic inflammation, and quality of life. TRIAL REGISTRATION ClinicalTrials.gov NCT06257641; https://clinicaltrials.gov/study/NCT06257641. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/64277.
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Affiliation(s)
- Javier Perez-Bootello
- Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain
| | - Emilio Berna-Rico
- Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain
| | - Carlota Abbad-Jaime de Aragon
- Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain
| | - Ruth Cova-Martin
- Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain
| | - Leticia Goni
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Asuncion Ballester-Martinez
- Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain
| | - Pedro Jaen-Olasolo
- Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain
| | - Nehal Mehta
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, Department of Cardiology, George Washington Medical Center, Washington, District of Columbia, USA, Bethesda, MD, United States
| | - Joel M Gelfand
- Department of Dermatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Miguel Angel Martinez-Gonzalez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Alvaro Gonzalez-Cantero
- Department of Dermatology, Hospital Universitario Ramon y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain, Madrid, Spain
- Faculty of Medicine, Universidad Francisco de Vitoria, Madrid, Spain
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6
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García S, Monserrat-Mesquida M, Ugarriza L, Casares M, Gómez C, Mateos D, Angullo-Martínez E, Tur JA, Bouzas C. Ultra-Processed Food Consumption and Metabolic-Dysfunction-Associated Steatotic Liver Disease (MASLD): A Longitudinal and Sustainable Analysis. Nutrients 2025; 17:472. [PMID: 39940330 PMCID: PMC11820933 DOI: 10.3390/nu17030472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2024] [Revised: 01/21/2025] [Accepted: 01/27/2025] [Indexed: 02/16/2025] Open
Abstract
BACKGROUND The rising prevalence of metabolic-dysfunction-associated steatotic liver disease (MASLD) is a significant health challenge, and the consumption of ultra-processed foods (UPFs) could play a key role. AIM The aim is assess the impact of UPF consumption changes on the development and progression of MASLD in adults. DESIGN This is a longitudinal study to assess how changes in UPF consumption affect liver fat and MASLD parameters over 6 months in 70 participants. METHODS Dietary intake was assessed using a validated food frequency questionnaire, and foods were classified according to the NOVA system. Participants were divided into three groups based on UPF consumption changes: maximum (T1), medium (T2), and minimum reduction (T3). Fatty liver parameters were assessed with magnetic resonance imaging and ultrasonography. Mediterranean diet (Med-diet) adherence and sociodemographic parameters were also recorded. The General Linear Model was used to determine relationships between UPF consumption, fatty liver disease parameters, and diet. RESULTS Participants in T1 experienced a 7.7% reduction in intrahepatic fat content (IFC) compared to 2.6% in T3. T1 showed increased Med-diet adherence and decreased meat and sweets consumption. The energy intake decreased by 605.3 kcal/day in T1, while T3 showed an increase of 209.5 kcal/day. CONCLUSIONS Reducing UPF consumption leads to a decrease in IFC, associated with high Med-diet adherence and low calorie intake. Adopting these dietary patterns aligns with global sustainability goals and could further benefit MASLD patients by addressing environmental challenges alongside improving liver health.
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Affiliation(s)
- Silvia García
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Margalida Monserrat-Mesquida
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Lucía Ugarriza
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III, 28029 Madrid, Spain
- Primary Health Care Center Camp Redó, IBSalut, 07010 Palma de Mallorca, Spain
| | - Miguel Casares
- Radiodiagnosis Service, Red Asistencial Juaneda, 07011 Palma de Mallorca, Spain
| | - Cristina Gómez
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Clinical Analysis Service, University Hospital Son Espases, 07120 Palma de Mallorca, Spain
| | - David Mateos
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III, 28029 Madrid, Spain
- Hospital of Manacor, 07500 Manacor, Spain
| | - Escarlata Angullo-Martínez
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III, 28029 Madrid, Spain
- Primary Health Care Center Escola Graduada, IBSalut, 07001 Palma de Mallorca, Spain
| | - Josep A. Tur
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Cristina Bouzas
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; (S.G.); (M.M.-M.); (C.G.); (C.B.)
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III, 28029 Madrid, Spain
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7
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Larruy-García A, De Miguel-Etayo P, Babio N, Flores-Rojas K, Picáns-Leis R, Gómez-Martínez C, Miguel-Berges ML, Martínez JA, Corella D, de la Torre-Aguilar MJ, Vázquez-Cobela R, Shyam S, Pastor-Villaescusa B, Córdoba-Rodríguez DP, Schröder H, Fernández de la Puente M, Jurado-Castro JM, Ni J, Navas-Carretero S, Leis R, Gil-Campos M, Salas-Salvadó J, Moreno LA. Validity of the MED4CHILD tool for assessing adherence to the Mediterranean diet in preschool children. Eur J Pediatr 2025; 184:130. [PMID: 39798013 PMCID: PMC11724776 DOI: 10.1007/s00431-024-05945-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 12/12/2024] [Accepted: 12/18/2024] [Indexed: 01/13/2025]
Abstract
Most of the available tools to assess adherence to Mediterranean diet (MedDiet) were constructed for adults, having limited applicability to children and adolescents. The aim of this study is to validate a specific questionnaire to assess adherence to MedDiet in children aged 3 to 6 years (MED4CHILD questionnaire). The validation was performed in a baseline examination of a cohort of children who were recruited in schools in seven cities. Of the total sample of 1509 children, we included 858 children aged 3 to 6 years with complete information on adherence to the MedDiet, food consumption, anthropometry and cardiometabolic characteristics. Adherence to the MedDiet was assessed using an 18-item questionnaire, adapted from validated questionnaire for adults using the Delphi method. Food and beverage consumption was assessed using a validated COME-Kids Food and Beverage Frequency Questionnaire. Anthropometric measurements and cardiometabolic risk factors were assessed using standard methods. Statistical analyses included kappa agreement, ANOVA and linear regression models. Higher MED4CHILD scores were associated with higher intakes of food characteristic of the MedDiet. The MED4CHILD questionnaire showed moderate validity, especially for key items of the Mediterranean diet (kappa ranging from 0.333 to 0.665). Direct significant associations were found between MED4CHILD scores and cardiometabolic profile, including waist circumference (p), triglycerides and HOMA-IR (p < 0.05). CONCLUSION The 18-item MED4CHILD questionnaire showed moderate validity for assessing adherence to the MedDiet in children aged 3 to 6 years, in terms of agreement with food and beverage consumption and favourable cardiometabolic profile. WHAT IS KNOWN • The Mediterranean diet has been linked to a number of health benefits and the assessment of children's adherence to this diet is important for public health and research. • The tools available to assess MedDiet compliance are mainly for adults. WHAT IS NEW • The MED4CHILD questionnaire is a simple, inexpensive and rapid tool for assessing MedDiet compliance in children. • This tool showed moderate relative validity and a high score was associated with a favourable cardiometabolic profile.
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Affiliation(s)
- Alicia Larruy-García
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Faculty of Health Sciences, Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009, Saragossa, Spain
| | - Pilar De Miguel-Etayo
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Faculty of Health Sciences, Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009, Saragossa, Spain
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Nancy Babio
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
- Universitat Rovira I Virgili, Unitat de Nutrició Humana. Grup ANUT‑DSM, Departament de Bioquimica i Biotecnologia, C/Sant Llorenç, 21, 43201, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Katherine Flores-Rojas
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Rosaura Picáns-Leis
- Instituto de Investigación Sanitaria de Santiago (IDIS), Servicio de Neonatología, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
| | - Carlos Gómez-Martínez
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira I Virgili, Unitat de Nutrició Humana. Grup ANUT‑DSM, Departament de Bioquimica i Biotecnologia, C/Sant Llorenç, 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - María L Miguel-Berges
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Faculty of Health Sciences, Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009, Saragossa, Spain
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - J Alfredo Martínez
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition Food Science & Physiology, University of Navarra, 31008, Pamplona, Spain
| | - Dolores Corella
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Departamento de Medicina Preventiva, Facultad de Medicina, Universidad de Valencia, Valencia, Spain
| | - M José de la Torre-Aguilar
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Rocío Vázquez-Cobela
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group of Pediatric Nutrition, Instituto de Investigación Sanitaria de Santiago (IDIS), Unidad de Gastroenterología, Hepatología y Nutrición Pediátrica del Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
- Unit of Investigation in Nutrition, Growth and Human Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Sangeetha Shyam
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira I Virgili, Unitat de Nutrició Humana. Grup ANUT‑DSM, Departament de Bioquimica i Biotecnologia, C/Sant Llorenç, 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Belén Pastor-Villaescusa
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Diana Paola Córdoba-Rodríguez
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, 110231, Bogotá, Colombia
| | - Helmut Schröder
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER de Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain
| | - María Fernández de la Puente
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira I Virgili, Unitat de Nutrició Humana. Grup ANUT‑DSM, Departament de Bioquimica i Biotecnologia, C/Sant Llorenç, 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - José Manuel Jurado-Castro
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Jiaqi Ni
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira I Virgili, Unitat de Nutrició Humana. Grup ANUT‑DSM, Departament de Bioquimica i Biotecnologia, C/Sant Llorenç, 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Santiago Navas-Carretero
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition Food Science & Physiology, University of Navarra, 31008, Pamplona, Spain
- University of Navarra, Center for Nutrition Research, 31008, Pamplona, Spain
- IdisNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Rosaura Leis
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Investigation in Nutrition, Growth and Human Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, 110231, Bogotá, Colombia
| | - Mercedes Gil-Campos
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Jordi Salas-Salvadó
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira I Virgili, Unitat de Nutrició Humana. Grup ANUT‑DSM, Departament de Bioquimica i Biotecnologia, C/Sant Llorenç, 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Faculty of Health Sciences, Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009, Saragossa, Spain
- CIBER, Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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8
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Sorlí JV, de la Cámara E, Fernández-Carrión R, Asensio EM, Portolés O, Ortega-Azorín C, Pérez-Fidalgo A, Villamil LV, Fitó M, Barragán R, Coltell O, Corella D. Depression and Accelerated Aging: The Eveningness Chronotype and Low Adherence to the Mediterranean Diet Are Associated with Depressive Symptoms in Older Subjects. Nutrients 2024; 17:104. [PMID: 39796538 PMCID: PMC11722703 DOI: 10.3390/nu17010104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 12/25/2024] [Accepted: 12/29/2024] [Indexed: 01/13/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Depression often results in premature aging, which increases the risk of other chronic diseases, but very few studies have analyzed the association between epigenetic biomarkers of aging and depressive symptoms. Similarly, limited research has examined the joint effects of adherence to the Mediterranean diet (MedDiet) and chronotype on depressive symptoms, accounting for sex differences. Therefore, these are the objectives of our investigation in a Mediterranean population at high cardiovascular risk. METHODS We analyzed 465 older subjects (aged 55-75) with metabolic syndrome and assessed depressive symptoms by the Beck Depression Inventory (BDI-II). MedDiet adherence was measured with the 17-item MedDiet score, and chronotype with the Morningness-Eveningness Questionnaire (MEQ). Blood DNA methylation was analyzed, and epigenomic biomarkers of age acceleration were determined. We focused on the Dunedin Pace of Aging Computed from the Epigenome (DunedinPACE). We fitted multivariable models with interaction terms. RESULTS Prevalence of depression was statistically higher in women (p < 0.001). MedDiet adherence was strongly and inversely associated with depressive symptoms in the whole population (p < 0.01), while the MEQ score was inversely associated (p < 0.05). In the joint analysis, both MedDiet adherence and chronotype remained statistically associated with the BDI-II score (p < 0.05), showing additive effects. No interaction effects were observed. In women, a higher score in depressive symptoms was significantly associated with faster age acceleration (measured with the DunedinPACE biomarker). This association remained significant even after adjustment for MedDiet adherence and chronotype. CONCLUSIONS In older subjects with metabolic syndrome, the eveningness chronotype was associated with greater depressive symptoms, but a higher adherence to the MedDiet could potentially counteract the chronotype risk with additive effects. Women showed stronger associations, and importantly, we reported for the first time in this population that depressive symptoms were associated with accelerated aging.
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Affiliation(s)
- José V. Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
| | - Edurne de la Cámara
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- Servicio de Oftalmología, Hospital Clínico Universitario Lozano Blesa, 50009 Zaragoza, Spain
| | - Rebeca Fernández-Carrión
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
| | - Eva M. Asensio
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
| | - Carolina Ortega-Azorín
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
| | - Alejandro Pérez-Fidalgo
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain
- Biomedical Research Networking Centre on Cancer (CIBERONC), Health Institute Carlos III, 28029 Madrid, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Laura V. Villamil
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- Department of Physiology, School of Medicine, University Antonio Nariño, Bogotá 111511, Colombia
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Rocío Barragán
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain; (J.V.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain (O.C.)
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9
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Carrasco-Querol N, Cabricano-Canga L, Bueno Hernández N, Martín-Borràs C, Gonçalves AQ, Vila-Martí A, Ribot B, Solà J, Valls-Llobet C, Caballol Angelats R, Montesó-Curto P, Castro Blanco E, Pozo Ariza M, Carreres Rey S, Pla Pagà L, Dearos Sanchís M, Fernández-Sáez J, Dalmau Llorca MR, Aguilar Martín C. Effectiveness of the SYNCHRONIZE + Brief Intervention in Improving Mediterranean Diet Adherence, Nutritional Quality and Intake Pattern in Persons with Fibromyalgia and Chronic Fatigue Syndrome. Nutrients 2024; 17:11. [PMID: 39796445 PMCID: PMC11723387 DOI: 10.3390/nu17010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Revised: 12/18/2024] [Accepted: 12/20/2024] [Indexed: 01/13/2025] Open
Abstract
BACKGROUND Multidisciplinary lifestyle interventions are being researched to treat fibromyalgia. However, the impact of nutrition as a key treatment component is little studied. This study aimed to evaluate the effectiveness of the SYNCHRONIZE + lifestyle multidisciplinary intervention in improving adherence to the Mediterranean diet, nutrition quality and dietary intake pattern in persons with fibromyalgia and chronic fatigue syndrome. METHODS A pragmatic randomized clinical trial was conducted in primary care. Data were collected using the 17-item energy-restricted Mediterranean Adherence Screener (er-MEDAS), the food frequency questionnaire (sFFQ) and the 24 h recall questionnaire (24 HR), in addition to chrono-nutritional, anthropometric, and body composition data, at baseline and 3-, 6-, and 12- month follow-up visits, and statistically analyzed. RESULTS A total of 158 participants were evaluated. Results showed the effectiveness of the intervention in improving adherence to the Mediterranean diet. The adherence depended on the group-time interaction being positive and significant at 3 and 6 months post-intervention in the INT group and on the participant age and educational level. Specifically, the intake of legumes, fruits, vegetables, nuts and blue fish was increased, while the intake of sweets and pastries, butter and cream and red and processed meat was reduced. Furthermore, the intake of chips and candies was also reduced, and the consumption of fermented food (yogurts, cheese, kefir) increased. Thus, general diet quality improved. Interestingly, the intake of key nutrients such as protein and iron increased. Furthermore, the number of night eaters was decreased significantly. Muscle mass index was also improved in the intervention group. These results were maintained in the medium to long term. CONCLUSION SYNCHRONIZE + is a brief, low-cost, multidisciplinary intervention effective in improving adherence to the Mediterranean diet and improving nutritional and dietary intake patterns in persons with fibromyalgia and chronic fatigue syndrome. Further evaluation of the effect on quality of life and symptoms is needed.
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Affiliation(s)
- Noèlia Carrasco-Querol
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
| | - Lorena Cabricano-Canga
- EAP Dreta Eixample, CAP Roger de Flor, C/Roger de Flor 194, 08013 Barcelona, Spain;
- Departament de Bioquímica i Biotecnologia, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili (URV), 43201 Reus, Spain
| | - Nerea Bueno Hernández
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
| | - Carme Martín-Borràs
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
- Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), 43500 Tortosa, Spain; (R.C.A.); (P.M.-C.); (S.C.R.); (L.P.P.); (M.R.D.L.)
- Departament d’Activitat Física i Fisioteràpia, EUSES Terres de l’Ebre, Universitat Rovira i Virgili (URV), 43500 Tortosa, Spain
| | - Alessandra Queiroga Gonçalves
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 08007 Barcelona, Spain
| | - Anna Vila-Martí
- Research Group M3O—Methodology, Methods, Models and Outcomes, Departament Ciències de la Salut Bàsiques, Facultat de Ciències de la Salut i el Benestar, Centre for Health and Social Care Research (CESS), Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), 08500 Vic, Spain; (A.V.-M.); (B.R.); (J.S.)
| | - Blanca Ribot
- Research Group M3O—Methodology, Methods, Models and Outcomes, Departament Ciències de la Salut Bàsiques, Facultat de Ciències de la Salut i el Benestar, Centre for Health and Social Care Research (CESS), Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), 08500 Vic, Spain; (A.V.-M.); (B.R.); (J.S.)
| | - Judit Solà
- Research Group M3O—Methodology, Methods, Models and Outcomes, Departament Ciències de la Salut Bàsiques, Facultat de Ciències de la Salut i el Benestar, Centre for Health and Social Care Research (CESS), Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), 08500 Vic, Spain; (A.V.-M.); (B.R.); (J.S.)
| | - Carme Valls-Llobet
- Centro de Analisis y Programas Sanitarios (CAPS), 08010 Barcelona, Spain;
| | - Rosa Caballol Angelats
- Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), 43500 Tortosa, Spain; (R.C.A.); (P.M.-C.); (S.C.R.); (L.P.P.); (M.R.D.L.)
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Pilar Montesó-Curto
- Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), 43500 Tortosa, Spain; (R.C.A.); (P.M.-C.); (S.C.R.); (L.P.P.); (M.R.D.L.)
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 08007 Barcelona, Spain
- Departament de Medicina i Cirurgia, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili (URV), 43201 Reus, Spain
| | - Elisabet Castro Blanco
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
| | - Macarena Pozo Ariza
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
| | - Sandra Carreres Rey
- Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), 43500 Tortosa, Spain; (R.C.A.); (P.M.-C.); (S.C.R.); (L.P.P.); (M.R.D.L.)
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Laura Pla Pagà
- Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), 43500 Tortosa, Spain; (R.C.A.); (P.M.-C.); (S.C.R.); (L.P.P.); (M.R.D.L.)
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Mònica Dearos Sanchís
- Unitat d’Endocrinologia i Nutrició, Hospital de Tortosa Verge de la Cinta, Institut Català de la Salut (ICS), 43500 Tortosa, Spain;
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital de Tortosa Verge de la Cinta, Institut Català de la Salut (ICS), 43500 Tortosa, Spain
| | - José Fernández-Sáez
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
- Departament d’Infermeria, Facultat d’Infermeria, Universitat Rovira i Virgili (URV), Campus Terres de l’Ebre, 43500 Tortosa, Spain
| | - M. Rosa Dalmau Llorca
- Servei d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), 43500 Tortosa, Spain; (R.C.A.); (P.M.-C.); (S.C.R.); (L.P.P.); (M.R.D.L.)
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Carina Aguilar Martín
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), 43500 Tortosa, Spain; (N.B.H.); (A.Q.G.); (E.C.B.); (M.P.A.); (J.F.-S.); (C.A.M.)
- Unitat d’Avaluació i Recerca, Direcció d’Atenció Primària Terres de l’Ebre i Gerència Territorial Terres de l’Ebre, Institut Català de la Salut (ICS), 43500 Tortosa, Spain
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10
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Konstanti P, Gómez-Martínez C, Muralidharan J, Vioque J, Corella D, Fitó M, Vidal J, Tinahones FJ, Torres-Collado L, Coltell O, Castañer O, Moreno-Indias I, Atzeni A, Ruiz-Canela M, Salas-Salvadó J, Belzer C. Faecal microbiota composition and impulsivity in a cohort of older adults with metabolic syndrome. Sci Rep 2024; 14:28075. [PMID: 39543142 PMCID: PMC11564772 DOI: 10.1038/s41598-024-78527-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 10/31/2024] [Indexed: 11/17/2024] Open
Abstract
Impulsivity is an important determinant of human behaviour, affecting self-control, reasonable thinking and food choices. Recent evidence suggests a role for gut microbiota in human behaviour, but the relationship between gut microbiota and impulsive behaviours remains largely unexplored. To address this knowledge gap, the present study aims to explore the associations between faecal microbiota composition with trait and behavioural impulsivity, in a subcohort of the PREDIMED-Plus trial, including older adults presenting overweight/obesity. Fecal samples (n = 231) were profiled for their microbiota composition using 16 S rRNA amplicon sequencing and impulsivity was determined through four different assessments. Adherence to different dietary patterns was estimated through questionnaires. Beta diversity analyses showed a significant association with the Conner's Performance Test (CPT) in multivariate-adjusted models, and, in total, 13 bacterial genera associated with CPT. Erysipelotrichaceae UCG 003 showed the highest association with CPT and known butyrate producers such as Butyricicoccus spp., Roseburia spp., and Eubacterium hallii were among the identified bacteria. The bacteria Lachnospiraceae UCG 001, Anaerostipes and Blautia were associated with CPT and also the adherence to healthy and unhealthy plant-based diets. In addition, functional analysis showed a significant negative association between the CPT and the glucuronate and galacturonate metabolic pathways. From the other impulsivity assessments, two more associations were identified, for the genus Phascolarctobacterium with the Stroop test, and the genus Lachnospiraceae GAG 54 with the positive urgency subscore of UPPS-P Impulsive Behaviour Scale. Overall, our findings suggest potential links between the faecal microbiota composition and function with behavioural impulsive inattention as determined by the CPT.
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Affiliation(s)
- Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, The Netherlands
| | - Carlos Gómez-Martínez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jananee Muralidharan
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dolores Corella
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d`Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de La Victoria Hospital, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, University of Málaga, Málaga, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Oscar Coltell
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Department of Computer Languages and Systems, University Jaume I, Castellón, Spain
| | - Olga Castañer
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Isabel Moreno-Indias
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de La Victoria Hospital, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, University of Málaga, Málaga, Spain
| | - Alessandro Atzeni
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Miguel Ruiz-Canela
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, Pamplona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- CIBER in Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, The Netherlands.
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11
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Gómez-Martínez C, Babio N, Camacho-Barcia L, Júlvez J, Nishi SK, Vázquez Z, Forcano L, Álvarez-Sala A, Cuenca-Royo A, de la Torre R, Fanlo-Maresma M, Tello S, Corella D, Vásquez AA, Dalsgaard S, Franke B, Fernández-Aranda F, Salas-Salvadó J. Glycated hemoglobin, type 2 diabetes, and poor diabetes control are positively associated with impulsivity changes in aged individuals with overweight or obesity and metabolic syndrome. Ann N Y Acad Sci 2024; 1540:211-224. [PMID: 39150983 DOI: 10.1111/nyas.15205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2024]
Abstract
Impulsivity has been proposed to have an impact on glycemic dysregulation. However, it remains uncertain whether an unfavorable glycemic status could also contribute to an increase in impulsivity levels. This study aims to analyze associations of baseline and time-varying glycemic status with 3-year time-varying impulsivity in older adults at high risk of cardiovascular disease. A 3-year prospective cohort design was conducted within the PREDIMED-Plus-Cognition substudy. The total population includes 487 participants (mean age = 65.2 years; female = 50.5%) with overweight or obesity and metabolic syndrome. Insulin resistance (HOMA-IR), glycated hemoglobin (HbA1c), presence of type 2 diabetes mellitus, and type 2 diabetes control were evaluated. Impulsivity was measured using the Impulsive Behavior Scale questionnaire and various cognitive measurements. Impulsivity z-scores were generated to obtain Global, Trait, and Behavioral Impulsivity domains. Linear mixed models were used to study the longitudinal associations across baseline, 1-year, and 3-year follow-up visits. HOMA-IR was not significantly related to impulsivity. Participants with higher HbA1c levels, type 2 diabetes, and poor control of diabetes showed positive associations with the Global Impulsivity domain over time, and those with higher HbA1c levels were further related to increases in the Trait and Behavioral Impulsivity domains over the follow-up visits. These results suggest a potential positive feedback loop between impulsivity and glycemic-related dysregulation.
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Affiliation(s)
- Carlos Gómez-Martínez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia. Grup d'Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia. Grup d'Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Lucía Camacho-Barcia
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Clinical Psychology, Bellvitge University Hospital, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Jordi Júlvez
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Clinical and Epidemiological Neuroscience Group (NeuroÈpia), Reus, Spain
| | - Stephanie K Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia. Grup d'Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, Ontario, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Zenaida Vázquez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Laura Forcano
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Andrea Álvarez-Sala
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Aida Cuenca-Royo
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Rafael de la Torre
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Faculty of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Marta Fanlo-Maresma
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IBIDELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Susanna Tello
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Alejandro Arias Vásquez
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Søren Dalsgaard
- Child and Adolescent Mental Health Center, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Fernando Fernández-Aranda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Clinical Psychology, Bellvitge University Hospital, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia. Grup d'Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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12
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Goni L, Simonin L, Rovayo A, Kury-Guzman I, Martín-Calvo N, Ruiz-Canela M. Nutritional and Culinary Habits to Empower Families (n-CHEF): a feasibility study to increase consumption and home cooking of plant-based foods. Public Health Nutr 2024; 27:e190. [PMID: 39351828 PMCID: PMC11504476 DOI: 10.1017/s1368980024001538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 06/07/2024] [Accepted: 07/15/2024] [Indexed: 10/27/2024]
Abstract
OBJECTIVE To analyse the feasibility and acceptability of a culinary nutritional intervention aimed at increasing plant-based foods consumption in the context of the Mediterranean diet in parent-child dyads. DESIGN The Nutritional and Culinary Habits to Empower Families (n-CHEF) is a 9-month feasibility study that included four culinary nutritional workshops (two face to face, two online) led by a chef and a dietitian-nutritionist. These workshops combined cooking with plant-based foods, with nutritional advice and experimental activities. The main outcomes were retention, quality of the intervention (monitoring workshops, acceptability and perceived impact) and changes in dietary and cooking habits. SETTING Parent-child dyads, Spain. PARTICIPANTS Parent-child (aged 10-14 years) dyads. RESULTS Fifteen parent-child dyads were recruited, of which thirteen were retained during the 6-month follow-up. All but one parent-child dyads attended the four workshops. The overall assessment of the workshops was positive, although the online workshops were rated lower than the face to face. In general, parent-child dyads reported benefits in terms of nutrition and cooking aspects. Parents significantly increased their adherence to the Mediterranean diet, but non-significant changes were observed in children. However, children increased their consumption of vegetables and legumes and reduced snacks and ready meals. Parents also changed some of their culinary habits and increased their confidence in cooking at home. CONCLUSIONS The n-CHEF showed that the culinary nutritional intervention had good levels of recruitment, retention and acceptability among parent-child dyads. In addition, dietary and culinary knowledge and habits can be improved, although further studies are needed to know the long-term effects in larger populations.
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Affiliation(s)
- Leticia Goni
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Luca Simonin
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
| | - Anacristina Rovayo
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
| | - Isabella Kury-Guzman
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
| | - Nerea Martín-Calvo
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
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13
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Gómez-Sánchez L, González-Falcon D, Llamas-Ramos R, Rodríguez MC, Rodríguez-Sánchez E, García-Ortiz L, Llamas-Ramos I, Gómez-Sánchez M, Gómez-Marcos MA. The Relationship between Healthy Vascular Aging with the Mediterranean Diet and Other Lifestyles in the Spanish Population: The EVA Study. Nutrients 2024; 16:2565. [PMID: 39125444 PMCID: PMC11314054 DOI: 10.3390/nu16152565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Revised: 07/28/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
The aim of this study was to analyze the relationship between healthy vascular aging (HVA) and the Mediterranean diet alongside other lifestyles in a Spanish population aged 35 to 75 years without previous cardiovascular diseases. METHODS In this cross-sectional descriptive study, 501 individuals aged 35 to 75 years were recruited from five health centers by random sampling stratified by age and sex (55.90 ± 14.24 years, 49.70% men). HVA was determined in two steps. Step 1: Subjects with vascular damage to the carotid arteries or peripheral arterial disease were classified as non-HVA. Step 2: The study population was classified by age and sex using the percentiles of the vascular aging index (VAI), with VAI ≤p25 considered HVA and >p25 considered non-HVA. The VAI was estimated using the following formula (VAI = (log (1.09) × 10 cIMT + log (1.14) cfPWV) × 39.1 + 4.76. Carotid-femoral pulse wave velocity (cfPWV) was measured with the SphygmoCor® device, and carotid intima-media thickness using Sonosite Micromax® ultrasound. Mediterranean diet (MD) adherence, alcohol and tobacco use were recorded through validated questionnaires. Physical activity was assessed with the ActiGraph-GT3X® accelerometer. RESULTS The mean VAI value was 61.23 ± 12.86 (men-63.47 ± 13.75 and women-59.04 ± 11.54; p < 0.001). HVA was found in 18.9% (men-19.9% and women-17.8%). In the multiple regression analysis after adjusting for possible confounding factors, the mean VAI value showed a positive association with alcohol use (β = 0.020) and sedentary hours per week (β = 0.109) and a negative association with hours of activity per week (β = -0.102) and with the number of healthy lifestyles (β = -0.640). In the logistic regression analysis, after adjusting for possible confounding factors and compared to those classified as non-HVA, subjects classified as HVA were more likely to show MD adherence (OR = 0.571), do more than 26 h per week of physical activity (OR = 1.735), spend under 142 h per week being sedentary (OR = 1.696), and have more than two healthy lifestyles (OR = 1.877). CONCLUSION The results of this study suggest that the more time spent doing physical activity and the less time spent in a sedentary state, the lower the vascular aging index and the greater the likelihood of being classified in the group of subjects with HVA.
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Affiliation(s)
- Leticia Gómez-Sánchez
- Emergency Service, University Hospital of La Paz P. of Castellana, 261, 28046 Madrid, Spain;
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
| | - David González-Falcon
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
| | - Rocío Llamas-Ramos
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Faculty of Nursing and Physiotherapy, Universidad de Salamanca, 37007 Salamanca, Spain
| | - María Cortés Rodríguez
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Department of Statistics, University of Salamanca, 37008 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37008 Salamanca, Spain
| | - Emiliano Rodríguez-Sánchez
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Primary Healthcare Management, Castilla y León Regional Health Authority (SACyL), 37007 Salamanca, Spain
- Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), 37005 Salamanca, Spain
- Department of Medicine, University of Salamanca, 37007 Salamanca, Spain
| | - Luis García-Ortiz
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Primary Healthcare Management, Castilla y León Regional Health Authority (SACyL), 37007 Salamanca, Spain
- Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), 37005 Salamanca, Spain
- Department of Biomedical and Diagnostic Sciences, University of Salamanca, 37007 Salamanca, Spain
| | - Inés Llamas-Ramos
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Faculty of Nursing and Physiotherapy, Universidad de Salamanca, 37007 Salamanca, Spain
| | - Marta Gómez-Sánchez
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
- Home Hospitalization Service, Marqués of Valdecilla University Hospital, 39008 Santander, Spain
| | - Manuel A. Gómez-Marcos
- Primary Care Research Unit of Salamanca (APISAL), Health Centre of San Juan, Av. Portugal 83, 37005 Salamanca, Spain; (D.G.-F.); (R.L.-R.); (E.R.-S.); (L.G.-O.); (M.G.-S.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Primary Healthcare Management, Castilla y León Regional Health Authority (SACyL), 37007 Salamanca, Spain
- Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), 37005 Salamanca, Spain
- Department of Medicine, University of Salamanca, 37007 Salamanca, Spain
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14
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Viñals C, Conget I, Granados M, Giménez M, Amor AJ. Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach. Diabetes Ther 2024; 15:1831-1844. [PMID: 38976136 PMCID: PMC11263441 DOI: 10.1007/s13300-024-01616-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024] Open
Abstract
People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80 mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100 mg/dL in moderate-risk individuals, < 70 mg/dL in high-risk individuals, and < 55 mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.
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Affiliation(s)
- Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain.
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Montse Granados
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain.
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Castro-Barquero S, Crovetto F, Estruch R, Ruiz-León AM, Larroya M, Sacanella E, Casanovas-Garriga F, Casas I, Nakaki A, Youssef L, Trejo-Domínguez A, Benitez L, Genero M, Vieta E, Gratacós E, Crispi F, Casas R. Validation of a pregnancy-adapted Mediterranean Diet Adherence Screener (preg-MEDAS): a validation study nested in the Improving Mothers for a better PrenAtal Care Trial BarCeloNa (IMPACT BCN) trial. Am J Clin Nutr 2024; 120:449-458. [PMID: 38830408 DOI: 10.1016/j.ajcnut.2024.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 05/04/2024] [Accepted: 05/30/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND Non-time-consuming and easy-to-administer dietary assessment tools specific for pregnancy are needed. OBJECTIVES The aim of this validation study nested in the IMPACT BCN (Improving Mothers for a better PrenAtal Care Trial BarCeloNa) trial is to determine the concurrent validity of the 17-item pregnancy-adapted Mediterranean diet score (preg-MEDAS) and to analyze whether changes in the preg-MEDAS score were associated with maternal favorable dietary and cardiometabolic changes after 3 mo of intervention in pregnant women. METHODS Dietary data was collected in 812 participants using the preg-MEDAS and a 151-item validated food frequency questionnaire (FFQ) at baseline (19-23 wk gestation) and final visit (31-34 wk gestation). Concurrent preg-MEDAS validity was evaluated by Pearson and intraclass correlation coefficients, κ statistic, and Bland-Altman methods. RESULTS The preg-MEDAS had a good correlation with the FFQ (r = 0.76 and intraclass correlation coefficient 0.75). The agreement of each of the preg-MEDAS items ranged from 40.9% to 93.8% with a substantial agreement mean concordance (κ = 0.61). A 2-point increase in preg-MEDAS was associated with a decrease in maternal mean and systolic blood pressure (β: -0.51 mmHg; 95% confidence interval [CI]: -0.97, -0.04 mmHg and -0.87 mmHg; 95% CI: -1.48, -0.26 mmHg, respectively). CONCLUSIONS The preg-MEDAS displays good validity for assessing adherence to the Mediterranean diet, allowing detection of dietary changes over time. In addition, changes observed in preg-MEDAS are significantly associated with a decrease in maternal blood pressure. Therefore, we propose preg-MEDAS as a rapid and simple dietary assessment tool during pregnancy. This trial was registered at clinicaltrials.gov as NCT03166332.
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Affiliation(s)
- Sara Castro-Barquero
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain; Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain
| | - Francesca Crovetto
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca Sant Joan de Déu, Barcelona, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Development Origin, RD21/0012/0001, Instituto de Salud Carlos III, Barcelona, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain; Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain; Department of Internal Medicine Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain.
| | - Ana María Ruiz-León
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain; Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain; Department of Internal Medicine Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Marta Larroya
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Emilio Sacanella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain; Department of Internal Medicine Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Francesc Casanovas-Garriga
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain; Department of Internal Medicine Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Irene Casas
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
| | - Ayako Nakaki
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Lina Youssef
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain; Josep Carreras Leukemia Research Institute, Hospital Clinic/University of Barcelona Campus, Barcelona, Spain
| | - Alejandra Trejo-Domínguez
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
| | - Leticia Benitez
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Mariona Genero
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Eduard Vieta
- Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain; Department of Psychiatry and Psychology, Hospital Clinic, Neuroscience Institute, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - Eduard Gratacós
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain; Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
| | - Fàtima Crispi
- BCNatal | Barcelona Center for Maternal and Fetal Medicine (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain; Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain; Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain; Department of Internal Medicine Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain.
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16
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Soldevila-Domenech N, Fagundo B, Cuenca-Royo A, Forcano L, Gomis-González M, Boronat A, Pastor A, Castañer O, Zomeño MD, Goday A, Dierssen M, Baghizadeh Hosseini K, Ros E, Corella D, Martínez-González MÁ, Salas-Salvadó J, Fernández-Aranda F, Fitó M, de la Torre R. Relationship between sex, APOE genotype, endocannabinoids and cognitive change in older adults with metabolic syndrome during a 3-year Mediterranean diet intervention. Nutr J 2024; 23:61. [PMID: 38862960 PMCID: PMC11167771 DOI: 10.1186/s12937-024-00966-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 06/04/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND The Mediterranean diet (MedDiet) has demonstrated efficacy in preventing age-related cognitive decline and modulating plasma concentrations of endocannabinoids (eCBs) and N-acylethanolamines (NAEs, or eCB-like compounds), which are lipid mediators involved in multiple neurological disorders and metabolic processes. Hypothesizing that eCBs and NAEs will be biomarkers of a MedDiet intervention and will be related to the cognitive response, we investigated this relationship according to sex and apolipoprotein E (APOE) genotype, which may affect eCBs and cognitive performance. METHODS This was a prospective cohort study of 102 participants (53.9% women, 18.8% APOE-ɛ4 carriers, aged 65.6 ± 4.5 years) from the PREDIMED-Plus-Cognition substudy, who were recruited at the Hospital del Mar Research Institute (Barcelona). All of them presented metabolic syndrome plus overweight/obesity (inclusion criteria of the PREDIMED-Plus) and normal cognitive performance at baseline (inclusion criteria of this substudy). A comprehensive battery of neuropsychological tests was administered at baseline and after 1 and 3 years. Plasma concentrations of eCBs and NAEs, including 2-arachidonoylglycerol (2-AG), anandamide (AEA), oleoylethanolamide (OEA), palmitoylethanolamide (PEA), and N-docosahexaenoylethanolamine (DHEA), were also monitored. Baseline cognition, cognitive changes, and the association between eCBs/NAEs and cognition were evaluated according to gender (crude models), sex (adjusted models), and APOE genotype. RESULTS At baseline, men had better executive function and global cognition than women (the effect size of gender differences was - 0.49, p = 0.015; and - 0.42, p = 0.036); however, these differences became nonsignificant in models of sex differences. After 3 years of MedDiet intervention, participants exhibited modest improvements in memory and global cognition. However, greater memory changes were observed in men than in women (Cohen's d of 0.40 vs. 0.25; p = 0.017). In men and APOE-ε4 carriers, 2-AG concentrations were inversely associated with baseline cognition and cognitive changes, while in women, cognitive changes were positively linked to changes in DHEA and the DHEA/AEA ratio. In men, changes in the OEA/AEA and OEA/PEA ratios were positively associated with cognitive changes. CONCLUSIONS The MedDiet improved participants' cognitive performance but the effect size was small and negatively influenced by female sex. Changes in 2-AG, DHEA, the OEA/AEA, the OEA/PEA and the DHEA/AEA ratios were associated with cognitive changes in a sex- and APOE-dependent fashion. These results support the modulation of the endocannabinoid system as a potential therapeutic approach to prevent cognitive decline in at-risk populations. TRIAL REGISTRATION ISRCTN89898870.
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Grants
- FI_B2021/00104 Agència de Gestió d'Ajuts Universitaris i de Recerca
- PROMETEO/2017/017; Grant FEA/SEA 2017 for Primary Care Research Generalitat Valenciana
- PI13/00233, PI13/00728, PI13/01123, PI13/00462, PI16/00533, PI16/00366, PI16/01094, PI16/00501, PI17/01167, PI19/00017, PI19/00781, PI19/01032, PI19/00576 Instituto de Salud Carlos III
- PI13/00233, PI13/00728, PI13/01123, PI13/00462, PI16/00533, PI16/00366, PI16/01094, PI16/00501, PI17/01167, PI19/00017, PI19/00781, PI19/01032, PI19/00576 Instituto de Salud Carlos III
- PI13/00233, PI13/00728, PI13/01123, PI13/00462, PI16/00533, PI16/00366, PI16/01094, PI16/00501, PI17/01167, PI19/00017, PI19/00781, PI19/01032, PI19/00576 Instituto de Salud Carlos III
- Advanced Research Grant 2014-2019; agreement #340918 HORIZON EUROPE European Research Council
- SLT006/17/00246, SLT002/16/00045 and SLT006/17/00077 Departament de Salut, Generalitat de Catalunya
- SLT006/17/00246, SLT002/16/00045 and SLT006/17/00077 Departament de Salut, Generalitat de Catalunya
- SLT006/17/00246, SLT002/16/00045 and SLT006/17/00077 Departament de Salut, Generalitat de Catalunya
- 2013ACUP00194 'la Caixa' Foundation
- Eat2beNICE/ H2020-SFS-2016-2; Ref 728018; and PRIME/ H2020-SC1-BHC-2018-2020; Ref: 847879 H2020 European Institute of Innovation and Technology
- Eat2beNICE/ H2020-SFS-2016-2; Ref 728018; and PRIME/ H2020-SC1-BHC-2018-2020; Ref: 847879 H2020 European Institute of Innovation and Technology
- Eat2beNICE/ H2020-SFS-2016-2; Ref 728018; and PRIME/ H2020-SC1-BHC-2018-2020; Ref: 847879 H2020 European Institute of Innovation and Technology
- Eat2beNICE/ H2020-SFS-2016-2; Ref 728018; and PRIME/ H2020-SC1-BHC-2018-2020; Ref: 847879 H2020 European Institute of Innovation and Technology
- 2017 SGR 138 Generalitat de Catalunya
- ‘la Caixa’ Foundation
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Affiliation(s)
- Natalia Soldevila-Domenech
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain
| | - Beatriz Fagundo
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
- Department of Physiotherapy, Fundació Universitària del Bages (FUB), Manresa, 08042, Spain
| | - Aida Cuenca-Royo
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
| | - Laura Forcano
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
| | - Maria Gomis-González
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
| | - Anna Boronat
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
| | - Antoni Pastor
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
| | - Olga Castañer
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
- Endocrinology Service, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
| | - Maria Dolores Zomeño
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
- School of Health Sciences, Blanquerna-Ramon Llull University, Barcelona, 08022, Spain
| | - Albert Goday
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
- Endocrinology Service, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
| | - Mara Dierssen
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, 08003, Spain
- CIBER de Enfermedades Raras (CIBERER), Barcelona, Spain
| | - Khashayar Baghizadeh Hosseini
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain
- Cardiovascular risk, Nutrition and Aging, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, 08036, Spain
| | - Emilio Ros
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, 46010, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
| | - Miguel Ángel Martínez-González
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Navarra's Health Research Institute (IdiSNA), Pamplona, Spain
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
| | - Jordi Salas-Salvadó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Fernando Fernández-Aranda
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Clinical Psychology Unit, University Hospital of Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, 08908, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, 08908, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Research Institute (HMRI), Barcelona, 08003, Spain
| | - Rafael de la Torre
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, 28029, Spain.
- Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Dr Aiguader 88, Barcelona, 08003, Spain.
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17
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Baenas I, Camacho-Barcia L, Granero R, Razquin C, Corella D, Gómez-Martínez C, Castañer-Niño O, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibáñez N, Tur JA, Martín-Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Jiménez-Murcia S, Dalsgaard S, Garcia-Arellano A, Babio N, Sorli JV, Lassale C, García-de-la-Hera M, Gómez-García E, Zulet MA, Konieczna J, Martín-Peláez S, Tojal-Sierra L, Basterra-Gortari FJ, de Las Heras-Delgado S, Portoles O, Muñoz-Pérez MÁ, Arenas-Larriva AP, Compañ-Gabucio L, Eguaras S, Shyam S, Fitó M, Baños RM, Salas-Salvadó J, Fernández-Aranda F. Association between type 2 diabetes and depressive symptoms after a 1-year follow-up in an older adult Mediterranean population. J Endocrinol Invest 2024; 47:1405-1418. [PMID: 38218741 PMCID: PMC11142971 DOI: 10.1007/s40618-023-02278-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/07/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVES To examine the cross-sectional association between baseline depressive symptoms and the presence of type 2 diabetes (T2D), and its association with glycated hemoglobin (HbA1c) and other metabolic variables, and the prospective association of depressive symptoms and HbA1c after 1 year of follow-up. METHODS n = 6224 Mediterranean older adults with overweight/obesity and metabolic syndrome (48% females, mean age 64.9 ± 4.9 years) were evaluated in the framework of the PREDIMED-Plus study cohort. Depressive symptoms were assessed using the Beck Depression Inventory-II and HbA1c was used to measure metabolic control. RESULTS The presence of T2D increased the likelihood of higher levels of depressive symptoms (χ2 = 15.84, p = 0.001). Polynomial contrast revealed a positive linear relationship (χ2 = 13.49, p = 0.001), the higher the depressive symptoms levels, the higher the prevalence of T2D. Longitudinal analyses showed that the higher baseline depressive symptoms levels, the higher the likelihood of being within the HbA1c ≥ 7% at 1-year level (Wald-χ2 = 24.06, df = 3, p < .001, for the full adjusted model). Additionally, depressive levels at baseline and duration of T2D predicted higher HbA1c and body mass index, and lower physical activity and adherence to Mediterranean Diet at 1 year of follow-up. CONCLUSIONS This study supports an association between T2D and the severity of depressive symptoms, suggesting a worse metabolic control from mild severity levels in the short-medium term, influenced by lifestyle habits related to diabetes care. Screening for depressive symptoms and a multidisciplinary integrative therapeutic approach should be ensured in patients with T2D.
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Affiliation(s)
- I Baenas
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Doctoral Program in Medicine and Translational Research, University of Barcelona, 08007, Barcelona, Spain
| | - L Camacho-Barcia
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
| | - R Granero
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Department de Psicobiologia I Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - C Razquin
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - D Corella
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Gómez-Martínez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - O Castañer-Niño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - J A Martínez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - Á M Alonso-Gómez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - J Wärnberg
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29590, Málaga, Spain
| | - J Vioque
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - D Romaguera
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120, Palma, Spain
| | - J López-Miranda
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - R Estruch
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - F J Tinahones
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29590, Málaga, Spain
| | - J Lapetra
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Seville, Spain
| | - J L Serra-Majem
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016, Las Palmas de Gran Canaria, Spain
| | - N Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (IBS.GRANADA), 18012, Granada, Spain
| | - J A Tur
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma, Spain
| | - V Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071, León, Spain
| | - X Pintó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Universidad de Barcelona, 08908, Barcelona, Spain
| | - J J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, 23071, Jaén, Spain
| | - P Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
| | - J Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - C Vázquez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, 28024, Madrid, Spain
| | - L Daimiel
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28668, Madrid, Spain
| | - E Ros
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Lipid Clinic, Hospital Clínic, 08036, Barcelona, Spain
| | - S Jiménez-Murcia
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain
| | - S Dalsgaard
- NCRR-National Centre for Register-Based Research, Aarhus University, 8210, Aarhus, Denmark
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8210, Aarhus, Denmark
- CIRRAU-Centre for Integrated Register-Based Research, Aarhus University, 8210, Aarhus, Denmark
| | - A Garcia-Arellano
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - N Babio
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - J V Sorli
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Lassale
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Barcelona Institute for Global Health (ISGlobal), 08036, Barcelona, Spain
| | - M García-de-la-Hera
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - E Gómez-García
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29590, Málaga, Spain
| | - M A Zulet
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - J Konieczna
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120, Palma, Spain
| | - S Martín-Peláez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
| | - L Tojal-Sierra
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - F J Basterra-Gortari
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, 31008, Pamplona, Spain
| | - S de Las Heras-Delgado
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - O Portoles
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - M Á Muñoz-Pérez
- Unitat de Suport a la Recerca en Atenció Primaria de Barcelona. IDIAP Jordi Gol. Primary Care Division, Institut Català de La Salut, 08007, Barcelona, Spain
| | - A P Arenas-Larriva
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - L Compañ-Gabucio
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - S Eguaras
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - S Shyam
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - M Fitó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003, Barcelona, Spain
| | - R M Baños
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Personality, Evaluation and Psychological Treatment of the University of Valencia, 46010, Valencia, Spain
| | - J Salas-Salvadó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain.
| | - F Fernández-Aranda
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain.
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain.
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain.
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18
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Nakaki A, Gomez Y, Castro-Barquero S, Conti A, Vellvé K, Casas I, Genero M, Youssef L, Segalés L, Benitez L, Casas R, Vieta E, Bargallo N, Toschi N, Estruch R, Crispi F, Gratacos E, Crovetto F. The Mediterranean Diet in Pregnancy: Implications for Maternal Brain Morphometry in a Secondary Analysis of the IMPACT BCN Randomized Clinical Trial. Nutrients 2024; 16:1604. [PMID: 38892540 PMCID: PMC11174669 DOI: 10.3390/nu16111604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/07/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
INTRODUCTION A Mediterranean diet has positive effects on the brain in mid-older adults; however, there is scarce information on pregnant individuals. We aimed to evaluate the effect of a structured Mediterranean diet intervention on the cortical structure of the maternal brain during pregnancy. METHODS This study was a secondary analysis of the IMPACT BCN, a randomized clinical trial with 1221 high-risk pregnant women randomly allocated into three groups at 19-23 weeks of gestation: Mediterranean diet intervention, a mindfulness-based stress reduction program, or usual care. Maternal brain magnetic resonance imaging was performed during the third trimester of pregnancy in a random subgroup of participants. For this study, data from the Mediterranean diet and usual groups were analyzed. Maternal dietary intake, adherence to the Mediterranean diet and metabolite biomarkers were evaluated using a food frequency questionnaire, a 17-item dietary screener and plasma/urine samples, respectively. RESULTS The cluster-wise analysis showed that the Mediterranean diet group participants (n = 34) had significantly larger surface areas in the right precuneus (90%CI: <0.0001-0.0004, p < 0.001) and left superior parietal (90%CI: 0.026-0.033, p = 0.03) lobules compared to the usual care group participants (n = 37). A larger right precuneus area was associated with high improvements in adherence to the Mediterranean diet, a high intake of walnuts and high concentrations of urinary hydroxytyrosol. A larger left superior parietal area was associated with a high intake of walnuts and high concentrations of urinary hydroxytyrosol. CONCLUSIONS The promotion of a Mediterranean diet during pregnancy has a significant effect on maternal brain structure.
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Affiliation(s)
- Ayako Nakaki
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Yvan Gomez
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
| | - Sara Castro-Barquero
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Department of Internal Medicine Hospital Clinic, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, 08028 Barcelona, Spain
| | - Allegra Conti
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy
| | - Kilian Vellvé
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
| | - Irene Casas
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Mariona Genero
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, 08950 Esplugues de Llobregat, Spain
| | - Lina Youssef
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Josep Carreras Leukaemia Research Institute, Hospital Clinic/University of Barcelona Campus, 08036 Barcelona, Spain
| | - Laura Segalés
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
| | - Leticia Benitez
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Rosa Casas
- Department of Internal Medicine Hospital Clinic, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, 08028 Barcelona, Spain
| | - Eduard Vieta
- Department of Psychiatry and Psychology, Hospital Clinic, Neuroscience Institute, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain;
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Nuria Bargallo
- Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Radiology Department, Center of Image Diagnostic, Hospital Clínic, Facultad de Medicina, Universidad de Barcelona, 08036 Barcelona, Spain
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA 02115, USA
| | - Ramon Estruch
- Department of Internal Medicine Hospital Clinic, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, 08028 Barcelona, Spain
| | - Fàtima Crispi
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain and Centre for Biomedical Research on Rare Diseases (CIBERER), 08036 Barcelona, Spain
| | - Eduard Gratacos
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut d’Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, 08950 Esplugues de Llobregat, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain and Centre for Biomedical Research on Rare Diseases (CIBERER), 08036 Barcelona, Spain
| | - Francesca Crovetto
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, 08950 Esplugues de Llobregat, Spain
- Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin, RD21/0012/0003, Instituto de Salud Carlos III, 28029 Madrid, Spain
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19
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García-Gavilán JF, Atzeni A, Babio N, Liang L, Belzer C, Vioque J, Corella D, Fitó M, Vidal J, Moreno-Indias I, Torres-Collado L, Coltell O, Toledo E, Clish C, Hernando J, Yun H, Hernández-Cacho A, Jeanfavre S, Dennis C, Gómez-Pérez AM, Martínez MA, Ruiz-Canela M, Tinahones FJ, Hu FB, Salas-Salvadó J. Effect of 1-year lifestyle intervention with energy-reduced Mediterranean diet and physical activity promotion on the gut metabolome and microbiota: a randomized clinical trial. Am J Clin Nutr 2024; 119:1143-1154. [PMID: 38428742 DOI: 10.1016/j.ajcnut.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND The health benefits of the Mediterranean diet (MedDiet) have been linked to the presence of beneficial gut microbes and related metabolites. However, its impact on the fecal metabolome remains poorly understood. OBJECTIVES Our goal was to investigate the weight-loss effects of a 1-y lifestyle intervention based on an energy-reduced MedDiet coupled with physical activity (intervention group), compared with an ad libitum MedDiet (control group), on fecal metabolites, fecal microbiota, and their potential association with cardiovascular disease risk factors. METHODS A total of 400 participants (200 from each study group), aged 55-75 y, and at high cardiovascular disease risk, were included. Dietary and lifestyle information, anthropometric measurements, blood biochemical parameters, and stool samples were collected at baseline and after 1 y of follow-up. Liquid chromatography-tandem mass spectrometry was used to profile endogenous fecal metabolites, and 16S amplicon sequencing was employed to profile the fecal microbiota. RESULTS Compared with the control group, the intervention group exhibited greater weight loss and improvement in various cardiovascular disease risk factors. We identified intervention effects on 4 stool metabolites and subnetworks primarily composed of bile acids, ceramides, and sphingosines, fatty acids, carnitines, nucleotides, and metabolites of purine and the Krebs cycle. Some of these were associated with changes in several cardiovascular disease risk factors. In addition, we observed a reduction in the abundance of the genera Eubacterium hallii group and Dorea, and an increase in alpha diversity in the intervention group after 1 y of follow-up. Changes in the intervention-related microbiota profiles were also associated with alterations in different fecal metabolite subnetworks and some cardiovascular disease risk factors. CONCLUSIONS An intervention based on an energy-reduced MedDiet and physical activity promotion, compared with an ad libitum MedDiet, was associated with improvements in cardiometabolic risk factors, potentially through modulation of the fecal microbiota and metabolome. This trial was registered at https://www.isrctn.com/ as ISRCTN89898870 (https://doi.org/10.1186/ISRCTN89898870).
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Affiliation(s)
- Jesús F García-Gavilán
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Alessandro Atzeni
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Nancy Babio
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Isabel Moreno-Indias
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Oscar Coltell
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Computer Languages and Systems, Jaume I University, Castellón, Spain
| | - Estefanía Toledo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Epidemiología y Salud Pública, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Clary Clish
- Metabolomics Platform, The Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Javier Hernando
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Huan Yun
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Adrián Hernández-Cacho
- Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Sarah Jeanfavre
- Metabolomics Platform, The Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Courtney Dennis
- Metabolomics Platform, The Broad Institute of MIT and Harvard, Boston, MA, United States
| | - Ana M Gómez-Pérez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Maria Angeles Martínez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; Epidemiología y Salud Pública, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Francisco J Tinahones
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jordi Salas-Salvadó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira i Virgili, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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20
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Alam AB, Toledo‐Atucha E, Romaguera D, Alonso‐Gómez AM, Martínez‐Gonzalez MA, Tojal‐Sierra L, Mora MN, Mas‐Llado C, Li L, Gonzalez‐Casanova I, Salas‐Salvadó J, Fitó M, Alonso A. Associations of Alcohol Consumption With Left Atrial Morphology and Function in a Population at High Cardiovascular Risk. J Am Heart Assoc 2024; 13:e031915. [PMID: 38533958 PMCID: PMC11179787 DOI: 10.1161/jaha.123.031915] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/28/2023] [Indexed: 03/28/2024]
Abstract
BACKGROUND Excessive alcohol consumption has been associated with increased risk of atrial fibrillation, although the underlying mechanisms remain unclear. An enlarged left atrium and impaired left atrial function may lead to atrial fibrillation. The association of alcohol consumption with structural and functional left atrial measures, however, has received limited attention. METHODS AND RESULTS We studied 503 participants from the PREDIMED-Plus (Prevención con Dieta Mediterránea) trial, a randomized trial testing intensive weight loss intervention with an energy-reduced Mediterranean diet and physical activity promotion in preventing cardiovascular disease in adults with metabolic syndrome. Participants underwent transthoracic echocardiography at baseline, year 3, and year 5 of the study. Outcomes of interest included volume index and reservoir, conduit, and contractile strains of the left atrium. Alcohol consumption was calculated through food frequency questionnaires and presented as drinks consumed per day. Multiple linear regression and mixed models estimated the association of alcohol consumption with left atrial measurements at baseline and through follow-up. Cross-sectionally, higher alcohol consumption (per 1 drink/day increases) was associated with larger left atrial volume (0.65 mL/m2 [95% CI, 0.18-1.11]) and lower left atrial reservoir and contractile strain (-0.44% [95% CI, -0.87 to -0.01]; and -0.44% [95% CI, -0.75 to -0.14]). Baseline alcohol consumption was not associated with changes in left atrial measurements, but increases in alcohol consumption (per 1 drink/day increase) during follow-up were associated with left atrial enlargement (0.71 mL/m2 [95% CI, 0.17-1.26]). CONCLUSIONS In a population at high cardiovascular risk, increased alcohol consumption was associated with left atrial enlargement and worsening atrial function. REGISTRATION URL: http://www.controlled-trials.com; Unique identifier: ISRCTN89898870.
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Affiliation(s)
- Aniqa B. Alam
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGAUSA
| | - Estefania Toledo‐Atucha
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn)Carlos III Health Institute (ISCIII)MadridSpain
- Navarra’s Health Research Institute (IdiSNA), Navarra Institute for Health ResearchPamplonaSpain
- Department of Preventive Medicine and Public HealthUniversity of NavarraPamplonaSpain
| | - Dora Romaguera
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn)Carlos III Health Institute (ISCIII)MadridSpain
- Health Research Institute of the Balearic Islands (IdISBa)Palma de MallorcaSpain
| | - Angel M. Alonso‐Gómez
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn)Carlos III Health Institute (ISCIII)MadridSpain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHUVitoria‐GasteizSpain
| | - Miguel A. Martínez‐Gonzalez
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn)Carlos III Health Institute (ISCIII)MadridSpain
- Navarra’s Health Research Institute (IdiSNA), Navarra Institute for Health ResearchPamplonaSpain
- Department of Preventive Medicine and Public HealthUniversity of NavarraPamplonaSpain
| | - Lucas Tojal‐Sierra
- Navarra’s Health Research Institute (IdiSNA), Navarra Institute for Health ResearchPamplonaSpain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHUVitoria‐GasteizSpain
| | - Marta Noris Mora
- Health Research Institute of the Balearic Islands (IdISBa)Palma de MallorcaSpain
- Department of CardiologyHospital Universitari Son EspasesPalmaSpain
| | - Caterina Mas‐Llado
- Health Research Institute of the Balearic Islands (IdISBa)Palma de MallorcaSpain
- Cardiology Department, Hospital de ManacorManacorSpain
- Facultad de MedicinaUniversitat de les Illes Balears (UIB)PalmaSpain
| | - Linzi Li
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGAUSA
| | - Ines Gonzalez‐Casanova
- Department of Applied Health ScienceIndiana University‐Bloomington, School of Public HealthBloomingtonIndianaUSA
| | - Jordi Salas‐Salvadó
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn)Carlos III Health Institute (ISCIII)MadridSpain
- Human Nutrition Unit, Department of Biochemistry and BiotechnologyRovira i Virigili UniversityReusSpain
- Human Nutrition Unit, Pere Virgili Health Research Institute (IISPV)ReusSpain
| | - Montserrat Fitó
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn)Carlos III Health Institute (ISCIII)MadridSpain
- Cardiovascular Risk and Nutrition Group, Hospital del Mar Medical Research Institute (IMIM)BarcelonaSpain
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaGAUSA
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21
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García S, Monserrat-Mesquida M, Argelich E, Ugarriza L, Salas-Salvadó J, Bautista I, Vioque J, Zomeño MD, Corella D, Pintó X, Bueno-Cavanillas A, Daimiel L, Martínez JA, Nishi S, Herrera-Ramos E, González-Palacios S, Fitó M, Asensio EM, Fanlo-Maresma M, Cano-Ibáñez N, Cuadrado-Soto E, Abete I, Tur JA, Bouzas C. Association between Beverage Consumption and Environmental Sustainability in an Adult Population with Metabolic Syndrome. Nutrients 2024; 16:730. [PMID: 38474858 PMCID: PMC10934400 DOI: 10.3390/nu16050730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
Beverages are an important part of the diet, but their environmental impact has been scarcely assessed. The aim of this study was to assess how changes in beverage consumption over a one-year period can impact the environmental sustainability of the diet. This is a one-year longitudinal study of 55-75-year-old participants with metabolic syndrome (n = 1122) within the frame of the PREDIMED-Plus study. Food and beverage intake were assessed using a validated food frequency questionnaire and a validated beverage-specific questionnaire. The Agribalyse® 3.0.1 database was used to calculate environmental impact parameters such as greenhouse gas emission, energy, water, and land use. A sustainability beverage score was created by considering the evaluated environmental markers. A higher beverage sustainability score was obtained when decreasing the consumption of bottled water, natural and packed fruit juice, milk, and drinkable dairy, soups and broths, sorbets and jellies, soft drinks, tea without sugar, beer (with and without alcohol), and wine, as well as when increasing the consumption of tap water and coffee with milk and without sugar. Beverage consumption should be considered when assessing the environmental impact of a diet. Trial registration: ISRCTN, ISRCTN89898870. Registered 5 September 2013.
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Affiliation(s)
- Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Emma Argelich
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Lucía Ugarriza
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Inmaculada Bautista
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain;
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550 Alicante, Spain; (J.V.)
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.B.-C.)
| | - María Dolores Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003 Barcelona, Spain
- School of Health Sciences, Blanquerna-Ramon Llull University, 08025 Barcelona, Spain
| | - Dolores Corella
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain (E.M.A.)
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge—IDIBELL, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.B.-C.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Lidia Daimiel
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo—CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Stephanie Nishi
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Estefanía Herrera-Ramos
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain;
| | - Sandra González-Palacios
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550 Alicante, Spain; (J.V.)
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.B.-C.)
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - Eva M. Asensio
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain (E.M.A.)
| | - Marta Fanlo-Maresma
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge—IDIBELL, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.B.-C.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Esther Cuadrado-Soto
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- VALORNUT Research Group, Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (S.G.); (M.M.-M.); (E.A.); (J.S.-S.); (M.F.); (I.A.)
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
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22
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Mesa A, Giménez M, Perea V, Serés-Noriega T, Boswell L, Blanco J, Milad C, Pané A, Esmatjes E, Vinagre I, Conget I, Viñals C, Amor AJ. Severe hypoglycemia and hypoglycemia awareness are associated with preclinical atherosclerosis in patients with type 1 diabetes without an estimated high cardiovascular risk. Diabetes Metab Res Rev 2024; 40:e3785. [PMID: 38436542 DOI: 10.1002/dmrr.3785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 12/20/2023] [Accepted: 02/02/2024] [Indexed: 03/05/2024]
Abstract
AIMS To explore the relationship between severe hypoglycemia (SH) and hypoglycemia awareness with preclinical atherosclerosis in type 1 diabetes (T1D). MATERIALS AND METHODS Cross-sectional study in patients with T1D without cardiovascular disease (CVD), and with ≥1 of the following: ≥40 years, diabetic kidney disease, or ≥10 years of T1D duration with another risk factor. CVD risk was estimated with the Steno T1 Risk Engine (Steno-Risk). Carotid plaque was evaluated using standardised ultrasonography protocol. Logistic regression models adjusted for CVD risk factors were constructed to test the independent associations with SH or hypoglycemia awareness assessed by the Clarke questionnaire (Clarke). The inclusion of SH and Clarke in Steno-Risk was further evaluated. RESULTS We included 634 patients (52.4% men, age 48.3 ± 10.8 years, T1D duration 27.4 ± 11.1 years, 39.9% harbouring plaque). A stepped increase in the presence of plaque according to Steno-Risk was observed (13.5%, 37.7%, and 68.7%, for low, moderate, and high risk, respectively; p < 0.001). SH history (OR 4.4 [1.3-14.6]) and Clarke score (OR 1.7 [1.2-2.2]) were associated with plaque in low-risk patients (n = 192). Clarke score was also associated with plaque burden in low-moderate-risk participants (n = 436; ≥2 plaques: OR 1.2 [1.0-1.5], p = 0.031; ≥3 plaques: OR 1.4 [1.1-2.0], p = 0.025). The inclusion of SH and Clarke scores in Steno-Risk significantly improved the identification of low-risk individuals with atherosclerosis (area under the curve: 0.658 vs. 0.576; p = 0.036). CONCLUSIONS In patients with T1D without an estimated high CVD risk, SH and hypoglycemia awareness assessment score were independently associated with preclinical atherosclerosis and improved identification of patients who would benefit from an intensive approach.
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Affiliation(s)
- Alex Mesa
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- IDIBAPS (Institut d'investigacions biomèdiques August Pi i Sunyer), Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- IDIBAPS (Institut d'investigacions biomèdiques August Pi i Sunyer), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua Terrassa, Terrassa, Spain
| | - Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Laura Boswell
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- IDIBAPS (Institut d'investigacions biomèdiques August Pi i Sunyer), Barcelona, Spain
- Endocrinology and Nutrition Department, Althaia University Health Network, Manresa, Spain
| | - Jesús Blanco
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- IDIBAPS (Institut d'investigacions biomèdiques August Pi i Sunyer), Barcelona, Spain
| | - Camila Milad
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Adriana Pané
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- IDIBAPS (Institut d'investigacions biomèdiques August Pi i Sunyer), Barcelona, Spain
| | - Enric Esmatjes
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- IDIBAPS (Institut d'investigacions biomèdiques August Pi i Sunyer), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Irene Vinagre
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- IDIBAPS (Institut d'investigacions biomèdiques August Pi i Sunyer), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
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23
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Serés-Noriega T, Viñals C, Perea V, Mesa A, Boswell L, Mariaca K, Blanco J, Vinagre I, Pané A, Milad C, Solà C, Esmatjes E, Conget I, Giménez M, Amor AJ. Adherence to an energy-restricted Mediterranean diet is associated with the presence and burden of carotid atherosclerosis in people with type 1 diabetes. Diabetes Metab Res Rev 2024; 40:e3783. [PMID: 38402458 DOI: 10.1002/dmrr.3783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/18/2024] [Accepted: 01/24/2024] [Indexed: 02/26/2024]
Abstract
AIMS People with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD). The Mediterranean diet is associated with reduced CVD; however, the evidence in T1D is scarce. We aimed to analyse the relationships between adherence to the energy-restricted Mediterranean diet (erMEDd) and carotid atherosclerosis. MATERIALS AND METHODS We included children with T1D without CVD, with ≥1 of the following: age ≥40 years, diabetic kidney disease, or ≥10 years of disease duration with another risk factor. Plaque presence (intima-media thickness ≥1.5 mm) was determined by ultrasonography. The PREDIMED-Plus 17-item questionnaire (PP-17) was used to assess adherence to the erMEDd. RESULTS Four hundred one individuals were included (48% males, age 48.3 ± 11 years, diabetes duration 26.8 ± 11.4 years). Those harbouring plaques (42%) showed lower adherence to the erMEDd (PP-17: 8.9 ± 2.3 of a maximum of 17 vs. 9.8 ± 2.5, p < 0.001). Greater adherence to the erMEDd was correlated with an overall better metabolic profile. After adjusting for multiple confounders, adherence to the erMEDd was independently associated with carotid atherosclerosis (OR 0.86 [0.77-0.95] for plaque presence and OR 0.85 [0.75-0.97] for ≥2 plaques). The consumption of fruit and nuts and preference of white over red meat was higher in individuals without atherosclerosis (p < 0.05). Fruit and nut consumption was associated with lower plaque prevalence in the fully adjusted models (OR 0.38 [0.19-0.73] and 0.51 [0.29-0.93]). CONCLUSIONS Greater adherence to the erMEDd is associated with less carotid atherosclerosis in children with T1D at high risk of CVD. Strategies to improve and implement healthy dietary patterns in this population should be encouraged.
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Affiliation(s)
- Tonet Serés-Noriega
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Verónica Perea
- Endocrinology and Nutrition Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain
| | - Alex Mesa
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Laura Boswell
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Endocrinology and Nutrition Department, Althaia University Health Network, Manresa, Spain
- Institut de Recerca i Innovació en Ciències de la Vida i de la Salut a la Catalunya Central (IRIS-CC), Vic, Spain
| | - Karla Mariaca
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Jesús Blanco
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Irene Vinagre
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Adriana Pané
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición. (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Camila Milad
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Clara Solà
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
| | - Enric Esmatjes
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic, Barcelona, Spain
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24
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Valle-Hita C, Salas-Huetos A, Fernández de la Puente M, Martínez MÁ, Canudas S, Palau-Galindo A, Mestres C, Manzanares JM, Murphy MM, Marquès M, Salas-Salvadó J, Babio N. Ultra-processed food consumption and semen quality parameters in the Led-Fertyl study. Hum Reprod Open 2024; 2024:hoae001. [PMID: 38283622 PMCID: PMC10813743 DOI: 10.1093/hropen/hoae001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/20/2023] [Indexed: 01/30/2024] Open
Abstract
STUDY QUESTION Is ultra-processed food (UPF) consumption associated with semen quality parameters? SUMMARY ANSWER Higher UPF consumption was inversely associated with total sperm count, sperm concentration, and total motility in men of reproductive age. WHAT IS KNOWN ALREADY The consumption of UPF, which has been rising during the last decades, has been demonstrated to be positively associated with several chronic diseases such as diabetes or cardiovascular diseases. However, the scientific evidence on its potential impact on semen quality remains notably limited. STUDY DESIGN SIZE DURATION A cross-sectional analysis was conducted using data from 200 healthy men (mean age 28.4 ± 5.5 years) enrolled in the Led-Fertyl (Lifestyle and Environmental Determinants of Seminogram and Other Male Fertility-Related Parameters) study between February 2021 and April 2023. PARTICIPANTS/MATERIALS SETTING METHODS UPF consumption (% of energy from UPF) was estimated according to the NOVA classification system using a validated 143-item semi-quantitative food frequency questionnaire. Total sperm count, sperm concentration, sperm vitality, total motility, progressive motility, and normal sperm forms were set as the main outcomes. Microscopic parameters were analyzed using a phase-contrast microscope and a computer-assisted sperm analysis (CASA) system. Semen samples were collected and tested according to World Health Organization 2010 standards. Multivariable linear regression models were fitted to estimate the associations between UPF tertile and semen quality parameters. MAIN RESULTS AND THE ROLE OF CHANCE Sperm concentration (β: -1.42 × 106 spz./ml; 95% CI: -2.72 to -0.12) and motility (β: -7.83%; 95% CI: -15.16 to -0.51) were lower in participants in the highest tertile of UPF compared to the lowest. A similar association was observed for sperm count when UPF was analyzed per 10% increment of energy from UPF consumption (β: -1.50 × 106 spz.; 95% CI: -2.83 to -0.17). Theoretically replacing 10% of energy from UPF consumption with 10% of energy from unprocessed or minimally processed food consumption was associated with a higher total sperm count, sperm concentration, total motility, progressive motility, and normal sperm forms. LIMITATIONS REASONS FOR CAUTION Cross-sectional studies do not permit the drawing of causal inferences. Measurement errors and reporting bias cannot be entirely ruled out. WIDER IMPLICATIONS OF THE FINDINGS This work suggests that consumption of UPF may have an impact on certain semen quality parameters. Furthermore, opting for unprocessed or minimally processed foods instead of UPFs could potentially benefit semen quality. If these results are replicated in future epidemiological studies with different long-term designs, these novel findings could provide valuable insights for updating or even designing preventive and interventional programs to address infertility among men of reproductive age. STUDY FUNDING/COMPETING INTERESTS This study was supported by the Spanish government's official funding agency for biomedical research, ISCIII, through the Fondo de Investigación para la Salud (FIS), the European Union ERDF/ESF, 'A way to make Europe'/'Investing in your future' [PI21/01447], and the Diputació de Tarragona (2021/11-No.Exp. 8004330008-2021-0022642). J.S.-S. gratefully acknowledges the financial support of ICREA under the ICREA Academia program. C.V.-H. received a predoctoral grant from the Generalitat de Catalunya (2022 FI_B100108). M.Á.M. was supported by the Sara Borrell postdoctoral fellowship (CD21/00045-Instituto de Salud Carlos III (ISCIII)). M.F.d.l.P. was supported by a predoctoral grant from the Rovira i Virgili University and Diputació de Tarragona (2020-PMF-PIPF-8). All authors have no conflict of interest to declare. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Cristina Valle-Hita
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Albert Salas-Huetos
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Ciències Mèdiques Bàsiques, Unitat de Medicina Preventiva, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - María Fernández de la Puente
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - María Ángeles Martínez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Silvia Canudas
- Department of Nutrition, Food Sciences and Gastronomy, School of Pharmacy and Food Sciences, Food Torribera Campus, University of Barcelona, Santa Coloma de Gramenet, Spain
- Institute of Nutrition and Food Safety of the University of Barcelona, INSA-UB Maria de Maeztu Unit of Excellence, Santa Coloma de Gramenet, Spain
| | - Antoni Palau-Galindo
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- ABS Reus V. Centre d’Assistència Primària Marià Fortuny, Salut Sant Joan de Reus—Baix Camp, Reus, Spain
| | - Cristina Mestres
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- ABS Reus V. Centre d’Assistència Primària Marià Fortuny, Salut Sant Joan de Reus—Baix Camp, Reus, Spain
| | - José María Manzanares
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, IISPV, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
| | - Michelle M Murphy
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Ciències Mèdiques Bàsiques, Unitat de Medicina Preventiva, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
| | - Montse Marquès
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Center of Environmental, Food and Toxicological Technology—TecnATox, Rovira i Virgili University, Reus, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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25
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Compher CW, Quinn R, Haslam R, Bader E, Weaver J, Dudek S, Ritchie MD, Lewis JD, Wu GD. Penn Healthy Diet survey: pilot validation and scoring. Br J Nutr 2024; 131:156-162. [PMID: 37519237 DOI: 10.1017/s0007114523001642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
Though diet quality is widely recognised as linked to risk of chronic disease, health systems have been challenged to find a user-friendly, efficient way to obtain information about diet. The Penn Healthy Diet (PHD) survey was designed to fill this void. The purposes of this pilot project were to assess the patient experience with the PHD, to validate the accuracy of the PHD against related items in a diet recall and to explore scoring algorithms with relationship to the Healthy Eating Index (HEI)-2015 computed from the recall data. A convenience sample of participants in the Penn Health BioBank was surveyed with the PHD, the Automated Self-Administered 24-hour recall (ASA24) and experience questions. Kappa scores and Spearman correlations were used to compare related questions in the PHD to the ASA24. Numerical scoring, regression tree and weighted regressions were computed for scoring. Participants assessed the PHD as easy to use and were willing to repeat the survey at least annually. The three scoring algorithms were strongly associated with HEI-2015 scores using National Health and Nutrition Examination Survey 2017-2018 data from which the PHD was developed and moderately associated with the pilot replication data. The PHD is acceptable to participants and at least moderately correlated with the HEI-2015. Further validation in a larger sample will enable the selection of the strongest scoring approach.
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Affiliation(s)
- Charlene W Compher
- University of Pennsylvania School of Nursing, Department of Biobehavioral Health Science, Philadelphia, PA, USA
| | - Ryan Quinn
- University of Pennsylvania School of Nursing, Department of Biostatistics, Philadelphia, PA, USA
| | - Richard Haslam
- University of Dublin, School of Medicine, Dublin, Republic of Ireland
| | | | - Joellen Weaver
- University of Pennsylvania Health System, Penn Medicine Biobank, Philadelphia, PA, USA
| | - Scott Dudek
- Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - James D Lewis
- University of Pennsylvania Perelman School of Medicine, Division of Gastroenterology and Hepatology, Philadelphia, PA, USA
| | - Gary D Wu
- University of Pennsylvania Perelman School of Medicine, Division of Gastroenterology and Hepatology, Philadelphia, PA, USA
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26
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Domínguez-López I, Galkina P, Parilli-Moser I, Arancibia-Riveros C, Martínez-González MÁ, Salas-Salvadó J, Corella D, Malcampo M, Martínez JA, Tojal-Sierra L, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Rubín-García M, Pintó X, Fernández-Aranda F, Delgado-Rodríguez M, Barabash-Bustelo A, Vidal J, Vázquez C, Daimiel L, Ros E, Toledo E, Atzeni A, Asensio EM, Vera N, Garcia-Rios A, Torres-Collado L, Pérez-Farinós N, Zulet M, Chaplin A, Casas R, Martín-Peláez S, Vaquero-Luna J, Gómez-Pérez AM, Vázquez-Ruiz Z, Shyam S, Ortega-Azorín C, Talens N, Peña-Orihuela PJ, Oncina-Canovas A, Diez-Espino J, Babio N, Fitó M, Lamuela-Raventós RM. Microbial Phenolic Metabolites Are Associated with Improved Cognitive Health. Mol Nutr Food Res 2024; 68:e2300183. [PMID: 38062915 DOI: 10.1002/mnfr.202300183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/23/2023] [Indexed: 02/01/2024]
Abstract
SCOPE Diets rich in polyphenols has been associated with better cognitive performance. The aim of this study is to assess the relationship between microbial phenolic metabolites (MPM) in urine and cognition in the context of an older population at high cardiovascular risk. METHODS AND RESULTS A cross-sectional analysis is conducted in 400 individuals of the PREDIMED-Plus study. Liquid chromatography coupled to mass spectrometry is used to identify urinary MPM. Mediterranean diet (MedDiet) adherence is estimated with a 17-item questionnaire and cognitive function is evaluated with a battery of neuropsychological tests. Multivariable-adjusted linear regression models are fitted to assess the relationship of urinary MPM with the MedDiet and cognitive tests. Protocatechuic acid and enterolactone glucuronide are associated with higher adherence to the MedDiet. Regarding cognitive function, protocatechuic acid, vanillic acid glucuronide, 3-hydroxybenzoic acid, enterodiol glucuronide, and enterolactone glucuronide are directly associated with a global composite score of all the cognitive tests. Furthermore, protocatechuic acid and enterolactone glucuronide are associated with higher scores in the Mini-Mental State Examination, whereas enterodiol glucuronide is associated with improved Clock Drawing Test scores. CONCLUSIONS These results suggest that the MedDiet is linked to MPM associated with better cognitive performance in an older population.
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Affiliation(s)
- Inés Domínguez-López
- Polyphenol Research Group, Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences, Barcelona, Catalunya, Spain
- Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramanet, 08921, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Polina Galkina
- Polyphenol Research Group, Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences, Barcelona, Catalunya, Spain
| | - Isabella Parilli-Moser
- Polyphenol Research Group, Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences, Barcelona, Catalunya, Spain
- Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramanet, 08921, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Camila Arancibia-Riveros
- Polyphenol Research Group, Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences, Barcelona, Catalunya, Spain
- Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramanet, 08921, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup de Recerca ANut-DSM, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiovascular Health, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- EpiPHAAN research group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramanet, 08921, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Internal Medicine Service, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - María Rubín-García
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Fernando Fernández-Aranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Clinical Psychology Unit, University Hospital Bellvitge-IDIBELL and University of Barcelona, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Ana Barabash-Bustelo
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Estefania Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alessandro Atzeni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup de Recerca ANut-DSM, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Eva M Asensio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Natàlia Vera
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Napoleón Pérez-Farinós
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- EpiPHAAN research group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Marian Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiovascular Health, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramanet, 08921, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Internal Medicine Service, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Sandra Martín-Peláez
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Jessica Vaquero-Luna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana Maria Gómez-Pérez
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sangeetha Shyam
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup de Recerca ANut-DSM, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Carolina Ortega-Azorín
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Natàlia Talens
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Alejandro Oncina-Canovas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Javier Diez-Espino
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Centro de Salud de Tafalla, Gerencia de Atención Primaria, Servicio Navarro de Salud Osasunbidea, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup de Recerca ANut-DSM, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Rosa M Lamuela-Raventós
- Polyphenol Research Group, Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences, Barcelona, Catalunya, Spain
- Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramanet, 08921, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Alam AB, Toledo-Atucha E, Romaguera D, Alonso-Gómez AM, Martínez-Gonzalez MA, Tojal-Sierra L, Razquin C, Mora MN, Li L, Subramanya V, Salas-Salvadó J, Fitó M, Alonso A. Association of alcohol consumption with circulating biomarkers of atrial fibrillation-related pathways in a population at high cardiometabolic risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.05.23299449. [PMID: 38106131 PMCID: PMC10723518 DOI: 10.1101/2023.12.05.23299449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background The effect of alcohol consumption on cardiovascular health, including atrial fibrillation risk, remains controversial. Evaluating the association of alcohol consumption with circulating atrial fibrillation-related biomarkers may help better understand the relevant mechanistic underpinnings. Methods We studied 523 participants from 3 sites for the PREDIMED-Plus study, a weight-loss randomized intervention trial in metabolically unhealthy adults. N-terminal pro-B-type natriuretic protein (NTproBNP), high sensitivity troponin-T (hsTnT), high-sensitivity C-reactive protein (hsCRP), 3-nitrotyrosine (3-NT), and procollagen type 1 carboxy-terminal propeptide (PICP) were measured in fasting serum samples at baseline and years 3 and 5 of follow-up. We calculated alcohol consumption in drinks/day (1 drink = 14 grams alcohol) with validated food frequency questionnaires at each visit. Using multiple linear regression and mixed models we estimated the association of alcohol consumption with log-transformed biomarkers at baseline and longitudinally adjusting for potential confounders. Results Among 523 participants (mean age: 65 years, 40% female), mean alcohol consumption was 1 drink/day. Cross-sectionally, alcohol consumption was not associated with cardiac biomarker concentrations. Longitudinally, compared to non-consumers, heavy drinkers (≥4 drinks/day) had smaller increases in hsTnT (β: -0.11, 95%CI: -0.20, -0.01)and PICP (β: -0.15, 95%CI: -0.30, 0.01) over the 5-year follow-up. In contrast, those who increased alcohol consumption over the 5-year period experienced greater increases in hsCRP (β: 0.42, 95%CI: 0.11, 0.73) compared to those whose drinking behavior stayed the same. Conclusion Alcohol consumption was associated with complex changes in circulating biomarkers, including comparatively lower fibrotic and myocardial damage, but higher levels of overall inflammation over time. These results underscore the need for further research to better understand the effects of alcohol on cardiovascular health.
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Affiliation(s)
- Aniqa B Alam
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Estefania Toledo-Atucha
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
- Navarra's Health Research Institute (IdiSNA), Navarra Institute for Health Research, Pamplona, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Dora Romaguera
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Angel M Alonso-Gómez
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Miguel A Martínez-Gonzalez
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
- Navarra's Health Research Institute (IdiSNA), Navarra Institute for Health Research, Pamplona, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Lucas Tojal-Sierra
- Navarra's Health Research Institute (IdiSNA), Navarra Institute for Health Research, Pamplona, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Cristina Razquin
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
- Navarra's Health Research Institute (IdiSNA), Navarra Institute for Health Research, Pamplona, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Marta Noris Mora
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Department of Cardiology, Hospital Universitari Son Espases, Palma, Spain
| | - Linzi Li
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Vinita Subramanya
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jordi Salas-Salvadó
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virigili University, Reus, Spain
- Human Nutrition Unit, Pere Virgili Health Research Institute (IISPV), Reus, Spain
| | - Montserrat Fitó
- CIBER Consortium, M.P. Physiopathology of Obesity and Nutrition (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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28
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Atzeni A, Nishi SK, Babio N, Belzer C, Konstanti P, Vioque J, Corella D, Castañer O, Vidal J, Moreno-Indias I, Torres-Collado L, Asensio EM, Fitó M, Gomez-Perez AM, Arias A, Ruiz-Canela M, Hu FB, Tinahones FJ, Salas-Salvadó J. Carbohydrate quality, fecal microbiota and cardiometabolic health in older adults: a cohort study. Gut Microbes 2023; 15:2246185. [PMID: 37610130 PMCID: PMC10449004 DOI: 10.1080/19490976.2023.2246185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/24/2023] Open
Abstract
The impact of carbohydrate quality, measured by the carbohydrate quality index (CQI), on gut microbiota and health has been scarcely investigated. The aim of this study was to cross-sectionally and longitudinally explore the relationships between CQI, fecal microbiota, and cardiometabolic risk factors in an elderly Mediterranean population at high cardiovascular risk. At baseline and 1-year, CQI was assessed from food frequency questionnaires data, cardiometabolic risk factors were measured, and fecal microbiota profiled from 16S sequencing. Multivariable-adjusted linear regression models were fitted to assess the associations between tertiles of baseline CQI, fecal microbiota, and cardiometabolic risk factors at baseline, and between tertiles of 1-year change in CQI, 1-year change in fecal microbiota and cardiometabolic risk factors. Cross-sectionally, higher CQI was positively associated with Shannon alpha diversity index, and abundance of genera Faecalibacterium and Christensenellaceae R7 group, and negatively associated with the abundance of Odoribacter, and uncultured Rhodospirillales genera. Some of these genera were associated with higher glycated hemoglobin and lower body mass index. In addition, we observed a positive association between CQI, and some pathways related with the metabolism of butyrate precursors and plants-origin molecules. Longitudinally, 1-year improvement in CQI was associated with a concurrent increase in the abundance of genera Butyrivibrio. Increased abundance of this genera was associated with 1-year improvement in insulin status. These observations suggest that a better quality of carbohydrate intake is associated with improved metabolic health, and this improvement could be modulated by greater alpha diversity and abundance of specific genera linked to beneficial metabolic outcomes.
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Affiliation(s)
- Alessandro Atzeni
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K. Nishi
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Toronto 3D (Diet Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Unity Health Toronto, Toronto, Canada
| | - Nancy Babio
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Isabel Moreno-Indias
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, the Biomedical Research Institute of Malaga and Platform in Nanomedicine (IBIMA-BIONAND Platform), University of Malaga, Malaga, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Eva M. Asensio
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), Barcelona, Spain
| | - Ana Maria Gomez-Perez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, the Biomedical Research Institute of Malaga and Platform in Nanomedicine (IBIMA-BIONAND Platform), University of Malaga, Malaga, Spain
| | - Alejandro Arias
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Frank B. Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Francisco J. Tinahones
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, the Biomedical Research Institute of Malaga and Platform in Nanomedicine (IBIMA-BIONAND Platform), University of Malaga, Malaga, Spain
| | - Jordi Salas-Salvadó
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, Reus, Spain
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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Henn M, Glenn AJ, Willett WC, Martínez-González MA, Sun Q, Hu FB. Changes in Coffee Intake, Added Sugar and Long-Term Weight Gain - Results from Three Large Prospective US Cohort Studies. Am J Clin Nutr 2023; 118:1164-1171. [PMID: 37783371 PMCID: PMC10739774 DOI: 10.1016/j.ajcnut.2023.09.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/18/2023] [Accepted: 09/27/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Consumption of both caffeinated and decaffeinated coffee has been reported to attenuate long-term weight gain. Whether the association between coffee consumption and weight gain depends on the addition of sugar, cream, or coffee whitener remains unclear. OBJECTIVE We aimed to study the associations between changes in coffee consumption, caffeine intake, and weight changes by considering the addition of sugar, cream, or a nondairy coffee whitener. METHODS We used 3 large prospective cohorts - the Nurses' Health Study (1986 - 2010), Nurses' Health Study II (1991 - 2015) and Health Professional Follow-up Study (1991 - 2014). We applied multivariable linear regression models with robust variance estimators to assess the association of changes in coffee habits within each 4-y interval with concurrent weight changes. Results across the 3 cohorts were pooled using inverse-variance weights. RESULTS After multivariable adjustment, each 1 cup per day increment in unsweetened caffeinated coffee was associated with a reduction in 4-y weight gain of -0.12 kg (95 % CI: -0.18, -0.05 kg) and of -0.12 kg (95 % CI: -0.16, -0.08 kg) for unsweetened decaffeinated coffee. The habits of adding cream or nondairy coffee whitener were not significantly linked to weight changes. Adding a teaspoon of sugar was associated with a 4-y weight gain of +0.09 kg (0.07, 0.12 kg). Stratified analyses suggested stronger magnitude of the observed associations with younger age and higher baseline BMI. Neither caffeine nor coffee modified the association of adding sugar to any food or beverage with weight changes. CONCLUSIONS An increase in intake of unsweetened caffeinated and decaffeinated coffee was inversely associated with weight gain. The addition of sugar to coffee counteracted coffee's benefit for possible weight management. To the contrary, adding cream or coffee whitener was not associated with greater weight gain.
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Affiliation(s)
- Matthias Henn
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; University of Navarra-IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - Andrea J Glenn
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Miguel A Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; University of Navarra-IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
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30
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Valle-Hita C, Díaz-López A, Becerra-Tomás N, Toledo E, Cornejo-Pareja I, Abete I, Sureda A, Bes-Rastrollo M, Martínez JA, Tinahones FJ, Tur JA, Garcidueñas-Fimbres TE, París-Pallejá F, Goday A, Goñi-Ruiz N, Salas-Salvadó J, Babio N. Associations between ultra-processed food consumption and kidney function in an older adult population with metabolic syndrome. Clin Nutr 2023; 42:2302-2310. [PMID: 37852024 DOI: 10.1016/j.clnu.2023.09.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 08/31/2023] [Accepted: 09/29/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND & AIMS Ultra-processed food (UPF) consumption has increased dramatically over the last decades worldwide. Although it has been linked to some cardiometabolic comorbidities, there is limited evidence regarding kidney function. This study aimed to cross-sectionally and longitudinally assess the association between UPF consumption and estimated-glomerular filtration rate (eGFR) based on Cystatin C (CysC). METHODS Older adults (mean age 65 ± 5.0 years, 46% women) with overweight/obesity and metabolic syndrome (MetS) who had available data of CysC at baseline (n = 1909), at one-year and at 3-years of follow-up (n = 1700) were analyzed. Food consumption was assessed using a validated 143-item semi-quantitative food frequency questionnaire and UPF consumption (% of g/d) at baseline and changes after one-year of follow-up were estimated according to NOVA classification system. Multivariable-adjusted linear and logistic regression models were performed to evaluate the cross-sectional associations between UPF consumption with eGFR levels and decreased kidney function (eGFR <60 ml/min/1.73 m2) at baseline. Multivariable-adjusted mixed-effects linear regression models were fitted to investigate the associations between one-year changes in UPF and eGFR over 3-years of follow-up. RESULTS Individuals with the highest baseline UPF consumption showed lower eGFR (β: -3.39 ml/min/1.73 m2; 95% CI: -5.59 to -1.20) and higher odds of decreased kidney function (OR: 1.64; 95% CI: 1.21 to 2.22) at baseline, compared to individuals in the lowest tertile. Participants in the highest tertile of one-year changes in UPF consumption presented a significant decrease in eGFR after one-year of follow-up (β: -1.45 ml/min/1.73 m2; 95% CI: -2.90 to -0.01) as well as after 3-years of follow-up (β: -2.18 ml/min/1.73 m2; 95% CI: -3.71 to -0.65) compared to those in the reference category. CONCLUSIONS In a Mediterranean population of older adults with overweight/obesity and MetS, higher UPF consumption at baseline and one-year changes towards higher consumption of UPF were associated with worse kidney function at baseline and over 3-years of follow-up, respectively. CLINICAL TRIAL REGISTRY NUMBER ISRCTN89898870.
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Affiliation(s)
- Cristina Valle-Hita
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
| | - Andrés Díaz-López
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Serra Hunter Fellow, Universitat Rovira i Virgili, Nutrition and Mental Health Research Group (NUTRISAM), 43201 Reus, Spain
| | - Nerea Becerra-Tomás
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, 43201 Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Department of Epidemiology & Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Estefania Toledo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA, 31008 Pamplona, Spain
| | - Isabel Cornejo-Pareja
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; University of Navarra, Department of Nutrition, Food Science and Physiology, IdiSNA, 31008 Pamplona, Spain
| | - Antoni Sureda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07120 Palma de Mallorca, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA, 31008 Pamplona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07120 Palma de Mallorca, Spain
| | - Tany E Garcidueñas-Fimbres
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
| | | | - Albert Goday
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003 Barcelona, Spain
| | - Nuria Goñi-Ruiz
- Servicio Navarro de Salud-Osasunbidea, Gerencia de Atención Primaria de Navarra, Navarra, Spain; Navarra Institute for Health Reseach, IdiSNA, Pamplona, Navarra, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain.
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Pérez M, Dominguez-López I, Lamuela-Raventós RM. The Chemistry Behind the Folin-Ciocalteu Method for the Estimation of (Poly)phenol Content in Food: Total Phenolic Intake in a Mediterranean Dietary Pattern. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:17543-17553. [PMID: 37948650 PMCID: PMC10682990 DOI: 10.1021/acs.jafc.3c04022] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/29/2023] [Accepted: 10/02/2023] [Indexed: 11/12/2023]
Abstract
The Folin-Ciocalteu assay is a reference method for the quantification of total (poly)phenols in food. This review explains the fundamental mechanism of the redox reaction on which the method is based and looks at some of the practical considerations concerning its application. To accurately estimate the antioxidant capacity of (poly)phenolic compounds, a thorough knowledge of their structural characteristics is essential, as the two are closely associated. Therefore, to help researchers interpret the results of the Folin-Ciocalteu method, this review also summarizes some of the main phenolic structural features. Finally, we have used the Folin-Ciocalteu method to estimate the total phenolic intake associated with high adherence to a Mediterranean diet, ranked as one of the healthiest dietary patterns, which is characterized by a high consumption of (poly)phenol-rich food such as wine, virgin olive oil, fruits, vegetables, whole grains, nuts, and legumes.
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Affiliation(s)
- Maria Pérez
- Polyphenol
Research Group, Department of Nutrition, Food Science and Gastronomy,
XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition
and Food Safety (INSA-UB), University of
Barcelona, 08028 Barcelona, Spain
- Consorcio
CIBER, M.P. Fisiopatología de la Obesidad y Nutrición
(CIBERObn), Instituto de Salud Carlos III
(ISCIII), 28029 Madrid, Spain
| | - Inés Dominguez-López
- Polyphenol
Research Group, Department of Nutrition, Food Science and Gastronomy,
XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition
and Food Safety (INSA-UB), University of
Barcelona, 08028 Barcelona, Spain
- Consorcio
CIBER, M.P. Fisiopatología de la Obesidad y Nutrición
(CIBERObn), Instituto de Salud Carlos III
(ISCIII), 28029 Madrid, Spain
| | - Rosa M. Lamuela-Raventós
- Polyphenol
Research Group, Department of Nutrition, Food Science and Gastronomy,
XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition
and Food Safety (INSA-UB), University of
Barcelona, 08028 Barcelona, Spain
- Consorcio
CIBER, M.P. Fisiopatología de la Obesidad y Nutrición
(CIBERObn), Instituto de Salud Carlos III
(ISCIII), 28029 Madrid, Spain
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32
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Coltell O, Asensio EM, Sorlí JV, Ortega-Azorín C, Fernández-Carrión R, Pascual EC, Barragán R, González JI, Estruch R, Alzate JF, Pérez-Fidalgo A, Portolés O, Ordovas JM, Corella D. Associations between the New DNA-Methylation-Based Telomere Length Estimator, the Mediterranean Diet and Genetics in a Spanish Population at High Cardiovascular Risk. Antioxidants (Basel) 2023; 12:2004. [PMID: 38001857 PMCID: PMC10669035 DOI: 10.3390/antiox12112004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/10/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Biological aging is a relevant risk factor for chronic diseases, and several indicators for measuring this factor have been proposed, with telomere length (TL) among the most studied. Oxidative stress may regulate telomere shortening, which is implicated in the increased risk. Using a novel estimator for TL, we examined whether adherence to the Mediterranean diet (MedDiet), a highly antioxidant-rich dietary pattern, is associated with longer TL. We determined TL using DNA methylation algorithms (DNAmTL) in 414 subjects at high cardiovascular risk from Spain. Adherence to the MedDiet was assessed by a validated score, and genetic variants in candidate genes and at the genome-wide level were analyzed. We observed several significant associations (p < 0.05) between DNAmTL and candidate genes (TERT, TERF2, RTEL1, and DCAF4), contributing to the validity of DNAmTL as a biomarker in this population. Higher adherence to the MedDiet was associated with lower odds of having a shorter TL in the whole sample (OR = 0.93; 95% CI: 0.85-0.99; p = 0.049 after fully multivariate adjustment). Nevertheless, this association was stronger in women than in men. Likewise, in women, we observed a direct association between adherence to the MedDiet score and DNAmTL as a continuous variable (beta = 0.015; SE: 0.005; p = 0.003), indicating that a one-point increase in adherence was related to an average increase of 0.015 ± 0.005 kb in TL. Upon examination of specific dietary items within the global score, we found that fruits, fish, "sofrito", and whole grains exhibited the strongest associations in women. The novel score combining these items was significantly associated in the whole population. In the genome-wide association study (GWAS), we identified ten polymorphisms at the suggestive level of significance (p < 1 × 10-5) for DNAmTL (intergenics, in the IQSEC1, NCAPG2, and ABI3BP genes) and detected some gene-MedDiet modulations on DNAmTL. As this is the first study analyzing the DNAmTL estimator, genetics, and modulation by the MedDiet, more studies are needed to confirm these findings.
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Affiliation(s)
- Oscar Coltell
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva M Asensio
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - José V Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Carolina Ortega-Azorín
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Eva C Pascual
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Rocío Barragán
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - José I González
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Juan F Alzate
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad de Antioquia, Medellín 050010, Colombia
- Facultad de Medicina, Centro Nacional de Secuenciación Genómica-CNSG, Sede de Investigación Universitaria-SIU, Universidad de Antioquia, Medellín 050010, Colombia
| | - Alejandro Pérez-Fidalgo
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain
- Biomedical Research Networking Centre on Cancer (CIBERONC), Health Institute Carlos III, 28029 Madrid, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Olga Portolés
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Jose M Ordovas
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain
- Nutrition and Genomics, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, UAM + CSIC, 28049 Madrid, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
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Donat-Vargas C, Mico V, San-Cristobal R, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Damas-Fuentes M, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Cinza-Sanjurjo S, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Causso C, Ros E, Toledo E, Manzanares JM, Ortega-Azorín C, Castañer O, Peña-Orihuela PJ, Zazo JM, Muñoz Bravo C, Martinez-Urbistondo D, Chaplin A, Casas R, Cano Ibáñez N, Tojal-Sierra L, Gómez-Perez AM, Pascual Roquet-Jalmar E, Mestre C, Barragán R, Schröder H, Garcia-Rios A, Candela García I, Ruiz-Canela M, Babio N, Malcampo M, Daimiel L, Martínez A. Dietary Iron, Anemia Markers, Cognition, and Quality of Life in Older Community-Dwelling Subjects at High Cardiovascular Risk. Nutrients 2023; 15:4440. [PMID: 37892515 PMCID: PMC10610130 DOI: 10.3390/nu15204440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/05/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Anemia causes hypo-oxygenation in the brain, which could lead to cognitive disorders. We examined dietary iron intake as well as anemia markers (i.e., hemoglobin, hematocrit, mean corpuscular volume) and diabetes coexistence in relation to neuropsychological function and quality of life. In this study, 6117 community-dwelling adults aged 55-75 years (men) and 60-75 years (women) with overweight/obesity and metabolic syndrome were involved. We performed the Mini-Mental State Examination (MMSE), the Trail Making Test parts A and B (TMT-A/B), Semantic Verbal Fluency of animals (VFT-a), Phonological Verbal Fluency of letter P (VFT-p), Digit Span Test (DST), the Clock Drawing Test (CDT), and the Short Form-36 Health Survey (SF36-HRQL test). Dietary iron intake did not influence neuropsychological function or quality of life. However, anemia and lower levels of anemia markers were associated with worse scores in all neurophysiological and SF36-HRQL tests overall, but were especially clear in the MMSE, TMT-B (cognitive flexibility), and the physical component of the SF36-HRQL test. The relationships between anemia and diminished performance in the TMT-A/B and VFT tasks were notably pronounced and statistically significant solely among participants with diabetes. In brief, anemia and reduced levels of anemia markers were linked to inferior cognitive function, worse scores in different domains of executive function, as well as a poorer physical, but not mental, component of quality of life. It was also suggested that the coexistence of diabetes in anemic patients may exacerbate this negative impact on cognition. Nevertheless, dietary iron intake showed no correlation with any of the outcomes. To make conclusive recommendations for clinical practice, our findings need to be thoroughly tested through methodologically rigorous studies that minimize the risk of reverse causality.
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Affiliation(s)
- Carolina Donat-Vargas
- ISGlobal, Campus Mar, 08036 Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
| | - Víctor Mico
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Miguel Ángel Martínez-González
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Dolores Corella
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Montserrat Fitó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Ángel Maria Alonso-Gómez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- EpiPHAAN Research Group, Department of Nursing, School of Health Sciences, University of Málaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain
| | - Dora Romaguera
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramon Estruch
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Miguel Damas-Fuentes
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Luís Serra-Majem
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Josep Antoni Tur
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Sergio Cinza-Sanjurjo
- CS Milladoiro, Área Sanitaria de Santiago de Compostela, 15706 Santiago de Compostela, Spain;
- Instituto de Investigación de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain
- Departamento de Medicina, Universidad de Santiago de Compostela, 15701 Santiago de Compostela, Spain
| | - Xavier Pintó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Claudia Causso
- Servicio de Endocrinologia Hospital General de Villalba, 28400 Madrid, Spain;
| | - Emilio Ros
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Estefanía Toledo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Josep Maria Manzanares
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
| | - Carolina Ortega-Azorín
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Patricia Judith Peña-Orihuela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Juan Manuel Zazo
- Department of Preventive Medicine and Public Health, School of Medicine, Instituto de Investigación Biomédica de Málaga, University of Málaga, 29590 Málaga, Spain;
| | - Carlos Muñoz Bravo
- Department of Public Health and Psychiatry, University of Malaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | | | - Alice Chaplin
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Rosa Casas
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Naomi Cano Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.Granada, 18012 Granada, Spain
| | - Lucas Tojal-Sierra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Ana María Gómez-Perez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | | | - Cristina Mestre
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Rocío Barragán
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Antonio Garcia-Rios
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | | | - Miguel Ruiz-Canela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Nancy Babio
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Alfredo Martínez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain
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Shyam S, García-Gavilán JF, Paz-Graniel I, Gaforio JJ, Martínez-González MÁ, Corella D, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Sánchez VM, Pintó X, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Fernandez-Aranda F, Nishi SK, Garcia-Regata O, Toledo E, Asensio EM, Castañer O, Garcia-Rios A, Torres-Collado L, Gómez-Gracia E, Zulet MA, Ruiz NG, Casas R, Cano-Ibáñez N, Tojal-Sierra L, Gómez-Perez AM, Sorlí JV, Cinza-Sanjurjo S, Martín-Peláez S, Peña-Orihuela PJ, Oncina-Canovas A, Perez-Araluce R, Zomeño MD, Chaplin A, Delgado-Rodríguez M, Babio N, Fitó M, Salas-Salvadó J. Association of adiposity and its changes over time with COVID-19 risk in older adults with overweight/obesity and metabolic syndrome: a longitudinal evaluation in the PREDIMED-Plus cohort. BMC Med 2023; 21:390. [PMID: 37833678 PMCID: PMC10576302 DOI: 10.1186/s12916-023-03079-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 09/13/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Cross-sectionally, older age and obesity are associated with increased coronavirus disease-2019 (COVID-19) risk. We assessed the longitudinal associations of baseline and changes in adiposity parameters with COVID-19 incidence in older adults at high cardiovascular risk. METHODS This analysis included 6874 men and women (aged 55-75 years) with overweight/obesity and metabolic syndrome in the PREDIMED-Plus lifestyle intervention trial for cardiovascular risk reduction. Body weight, body-mass-index (BMI), waist circumference, waist-to-height ratio (WHtR), and a body shape index (ABSI) were measured at baseline and annual follow-up visits. COVID-19 was ascertained by an independent Event Committee until 31 December 2021. Cox regression models were fitted to evaluate the risk of COVID-19 incidence based on baseline adiposity parameters measured 5-6 years before the pandemic and their changes at the visit prior to censoring. RESULTS At the time of censoring, 653 incident COVID-19 cases occurred. Higher baseline body weight, BMI, waist circumference, and WHtR were associated with increased COVID-19 risk. During the follow-up, every unit increase in body weight (HRadj (95%CI): 1.01 (1.00, 1.03)) and BMI (HRadj: 1.04 (1.003, 1.08)) was associated with increased COVID-19 risk. CONCLUSIONS In older adults with overweight/obesity, clinically significant weight loss may protect against COVID-19. TRIAL REGISTRATION This study is registered at the International Standard Randomized Controlled Trial (ISRCT; http://www.isrctn.com/ISRCTN89898870 ).
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Affiliation(s)
- Sangeetha Shyam
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Jesús Francisco García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Indira Paz-Graniel
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - José J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Departamento de Ciencias de La Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Physiology and Nutrition, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Alimentacion, Madrid, Spain
- Medicine and Endocrinology, UVA, Valladolid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició I Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de La Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Seville, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group On Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Medicine Department, Universidad Complutense, Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d`Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de La Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Fernando Fernandez-Aranda
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
- Department of Clinical Psychology, University Hospital of Bellvitge and University of Barcelona, Barcelona, Spain
| | - Stephanie K Nishi
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Oscar Garcia-Regata
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Estefania Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, Pamplona, Spain
| | - Eva M Asensio
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | | | - M Angeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Physiology and Nutrition, University of Navarra, Pamplona, Spain
| | - Nuria Goñi Ruiz
- Servicio Navarro de Salud-Osasumbidea, Pamplona, Navarra, Spain
- Gerencia de Atención Primaria, Navarra, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Navarra, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició I Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (Ibs.GRANADA), Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - A M Gómez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de La Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Jose V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Sergio Cinza-Sanjurjo
- CS MilladoiroÁrea Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Instituto de Investigación de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red-Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain
| | - Sandra Martín-Peláez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Alejandro Oncina-Canovas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Rafael Perez-Araluce
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, Pamplona, Spain
| | - María Dolores Zomeño
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
- School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Alimentacion, Madrid, Spain
- Medicine and Endocrinology, UVA, Valladolid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Konieczna J, Ruiz-Canela M, Galmes-Panades AM, Abete I, Babio N, Fiol M, Martín-Sánchez V, Estruch R, Vidal J, Buil-Cosiales P, García-Gavilán JF, Moñino M, Marcos-Delgado A, Casas R, Olbeyra R, Fitó M, Hu FB, Martínez-Gonzalez MÁ, Martínez JA, Romaguera D, Salas-Salvadó J. An Energy-Reduced Mediterranean Diet, Physical Activity, and Body Composition: An Interim Subgroup Analysis of the PREDIMED-Plus Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2337994. [PMID: 37851444 PMCID: PMC10585413 DOI: 10.1001/jamanetworkopen.2023.37994] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/01/2023] [Indexed: 10/19/2023] Open
Abstract
IMPORTANCE Strategies targeting body composition may help prevent chronic diseases in persons with excess weight, but randomized clinical trials evaluating lifestyle interventions have rarely reported effects on directly quantified body composition. OBJECTIVE To evaluate the effects of a lifestyle weight-loss intervention on changes in overall and regional body composition. DESIGN, SETTING, AND PARTICIPANTS The ongoing Prevención con Dieta Mediterránea-Plus (PREDIMED-Plus) randomized clinical trial is designed to test the effect of the intervention on cardiovascular disease prevention after 8 years of follow-up. The trial is being conducted in 23 Spanish research centers and includes men and women (age 55-75 years) with body mass index between 27 and 40 and metabolic syndrome. The trial reported herein is an interim subgroup analysis of the intermediate outcome body composition after 3-year follow-up, and data analysis was conducted from February 1 to November 30, 2022. Of 6874 total PREDIMED-Plus participants, a subsample of 1521 individuals, coming from centers with access to a dual energy x-ray absorptiometry device, underwent body composition measurements at 3 time points. INTERVENTION Participants were randomly allocated to a multifactorial intervention based on an energy-reduced Mediterranean diet (MedDiet) and increased physical activity (PA) or to a control group based on usual care, with advice to follow an ad libitum MedDiet, but no physical activity promotion. MAIN OUTCOMES AND MEASURES The outcomes (continuous) were 3-year changes in total fat and lean mass (expressed as percentages of body mass) and visceral fat (in grams), tested using multivariable linear mixed-effects models. Clinical relevance of changes in body components (dichotomous) was assessed based on 5% or more improvements in baseline values, using logistic regression. Main analyses were performed in the evaluable population (completers only) and in sensitivity analyses, multiple imputation was performed to include data of participants lost to follow-up (intention-to-treat analyses). RESULTS A total of 1521 individuals were included (mean [SD] age, 65.3 [5.0] years; 52.1% men). In comparison with the control group (n=761), participants in the intervention arm (n=760) showed greater reductions in the percentage of total fat (between group differences after 1-year, -0.94% [95% CI, -1.19 to -0.69]; 3 years, -0.38% [95% CI, -0.64 to -0.12] and visceral fat storage after 1 year, -126 g [95% CI, -179 to -73.3 g]; 3 years, -70.4 g [95% CI, -126 to -15.2 g] and greater increases in the percentage of total lean mass at 1 year, 0.88% [95% CI, 0.63%-1.12%]; 3-years 0.34% [95% CI, 0.09%-0.60%]). The intervention group was more likely to show improvements of 5% or more in baseline body components (absolute risk reduction after 1 year, 13% for total fat mass, 11% for total lean mass, and 14% for visceral fat mass; after 3-years: 6% for total fat mass, 6% for total lean mass, and 8% for visceral fat mass). The number of participants needed to treat was between 12 and 17 to attain at least 1 individual with possibly clinically meaningful improvements in body composition. CONCLUSIONS AND RELEVANCE The findings of this trial suggest a weight-loss lifestyle intervention based on an energy-reduced MedDiet and physical activity significantly reduced total and visceral fat and attenuated age-related losses of lean mass in older adults with overweight or obesity and metabolic syndrome. Continued follow-up is warranted to confirm the long-term consequences of these changes on cardiovascular clinical end points. TRIAL REGISTRATION isrctn.org Identifier: ISRCTN89898870.
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Affiliation(s)
- Jadwiga Konieczna
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Aina M. Galmes-Panades
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Global Health Research Group, Health Research Institute of the Balearic Islands, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
| | - Miquel Fiol
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine, University of León, León, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Pilar Buil-Cosiales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Primary Care Services, Navarra Regional Health Service, Pamplona, Spain
| | - Jesús F. García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
| | - Manuel Moñino
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | | | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria, University of Barcelona, Barcelona, Spain
| | - Romina Olbeyra
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Frank B. Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Miguel Ángel Martínez-Gonzalez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Dora Romaguera
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
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García S, Pastor R, Monserrat-Mesquida M, Álvarez-Álvarez L, Rubín-García M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Martínez JA, Tojal-Sierra L, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Cano-Ibañez N, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Buil-Cosiales P, Martínez-Rodríguez MÁ, Coltell O, Castañer O, Garcia-Rios A, Barceló C, Gómez-Gracia E, Zulet MÁ, Konieczna J, Casas R, Massó-Guijarro P, Goicolea-Güemez L, Bernal-López MR, Bes-Rastrollo M, Shyam S, González JI, Zomeño MD, Peña-Orihuela PJ, González-Palacios S, Toledo E, Khoury N, Perez KA, Martín-Sánchez V, Tur JA, Bouzas C. Ultra-processed foods consumption as a promoting factor of greenhouse gas emissions, water, energy, and land use: A longitudinal assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 891:164417. [PMID: 37236477 DOI: 10.1016/j.scitotenv.2023.164417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/15/2023] [Accepted: 05/21/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND Dietary patterns can produce an environmental impact. Changes in people's diet, such as the increased consumption of ultra-processed food (UPF) can not only influence human health but also environment sustainability. OBJECTIVES Assessment of the impact of 2-year changes in UPF consumption on greenhouse gas emissions and water, energy and land use. DESIGN A 2-year longitudinal study after a dietary intervention including 5879 participants from a Southern European population between the ages of 55-75 years with metabolic syndrome. METHODS Food intake was assessed using a validated 143-item food frequency questionnaire, which allowed classifying foods according to the NOVA system. In addition, sociodemographic data, Mediterranean diet adherence, and physical activity were obtained from validated questionnaires. Greenhouse gas emissions, water, energy and land use were calculated by means of the Agribalyse® 3.0.1 database of environmental impact indicators for food items. Changes in UPF consumption during a 2-year period were analyzed. Statistical analyses were conducted using computed General Linear Models. RESULTS Participants with major reductions in their UPF consumption reduced their impact by -0.6 kg of CO2eq and -5.3 MJ of energy. Water use was the only factor that increased as the percentage of UPF was reduced. CONCLUSIONS Low consumption of ultra-processed foods may contribute to environmental sustainability. The processing level of the consumed food should be considered not only for nutritional advice on health but also for environmental protection. TRIAL REGISTRATION ISRCTN, ISRCTN89898870. Registered 05 September 2013, http://www.isrctn.com/ISRCTN89898870.
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Affiliation(s)
- Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Faculty of Health Sciences,Catholic University of Avila, 05005 Avila, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Laura Álvarez-Álvarez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; Research Group on Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - María Rubín-García
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; Research Group on Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550 Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 09036 Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibañez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain; Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Clotilde Vázquez
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, 28040 Madrid, Spain
| | - Lidia Daimiel
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - Emili Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Pilar Buil-Cosiales
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - María Ángeles Martínez-Rodríguez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain; Department of Computer Languages and Systems, University Jaume I, 12071 Castellón, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - Antonio Garcia-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | | | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Public Health and Psychiatry, School of Medicine, University of Malaga, and Biomedical Research Institute of Malaga (IBIMA), 29010 Málaga, Spain
| | - Maria Ángeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Rosa Casas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 09036 Barcelona, Spain
| | - Paloma Massó-Guijarro
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain; Preventive Medicine Unit, Universitary Hospital Virgen de las Nieves, 18014 Granada, Spain; Instituto de Investigación Biosanitaria de Granada (IBS.GRANADA), 18012 Granada, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - María Rosa Bernal-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - Maira Bes-Rastrollo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Sangeetha Shyam
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - José I González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - María Dolores Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), 08003 Barcelona, Spain; Blanquerna-Ramon Llull University, 08022, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Sandra González-Palacios
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550 Alicante, Spain
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Nadine Khoury
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Karla Alejandra Perez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; Research Group on Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
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Llaurador-Coll M, Rios S, García-Gavilán JF, Babio N, Vilella E, Salas-Salvadó J. Plasma levels of neurology-related proteins are associated with cognitive performance in an older population with overweight/obesity and metabolic syndrome. GeroScience 2023; 45:2457-2470. [PMID: 36964401 PMCID: PMC10651568 DOI: 10.1007/s11357-023-00764-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 01/17/2023] [Indexed: 03/26/2023] Open
Abstract
Cognitive impairment is present in a broad spectrum of medical conditions and in aging. Here, we aimed to identify plasma proteins related to cognitive function in a sample of older adults with overweight/obesity and metabolic syndrome. A total of 129 subjects (mean age 64.7 years; 36% females) were grouped according to low (l-GCF, N=65) or high (h-GCF, N=64) global cognitive function and matched according to education, sex, age, and body mass index. Cognitive performance was assessed using neuropsychological tests. Plasma levels of 92 neurology-related proteins were assessed using a proximity extension assay. An elastic net regression analysis was used to identify proteins more associated with cognitive performance. Additionally, the protein expression levels were compared between the two groups by means of a t-test with false discovery rate correction. Pearson correlations were used to assess associations between the protein levels and scores from the neurocognitive tests. Six proteins (alpha-2-MRAP, HAGH, Siglec-9, MDGA1, IL12, and EDA2R) were identified as potential contributors to cognitive performance, remaining significantly increased in l-GCF compared to h-GCF participants after correction for multiple testing. Negative correlations (r= -0.23 to -0.18, i.e., lower protein levels, higher cognitive function) were found between global cognitive function and Siglec-9, NMNAT1, HAGH, LXN, gal-8, alpha-2-MRAP, IL12, PDGF-R-alpha, NAAA, EDA2R, CLEC1B, and LAT. Mini-mental state examination z scores showed the strongest correlations with protein levels, specifically negative correlations with CLEC1b, LXN, LAT, PLXNB3, NMNAT1, gal-8, HAGH, NAAA, CTSS, EZR, KYNU, MANF (r=-0.38 to -0.26) and a positive correlation with ADAM23 (r= 0.26). In summary, we identified several plasma proteins that were significantly associated with cognitive performance in older adults with obesity and metabolic syndrome, although further research is needed to replicate the results in larger samples and to include a predictive perspective.
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Affiliation(s)
- Martí Llaurador-Coll
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Reus, Spain
- Hospital Universitari Institut Pere Mata, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
| | - Santiago Rios
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Jesus F García-Gavilán
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Nancy Babio
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Elisabet Vilella
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Reus, Spain.
- Hospital Universitari Institut Pere Mata, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain.
| | - Jordi Salas-Salvadó
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain.
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
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38
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Bouzas C, Pastor R, García S, Monserrat-Mesquida M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Romero-Secin A, Pintó X, Gaforio JJ, Matía P, Vidal J, Zapatero M, Daimiel L, Ros E, García-Arellano A, Babio N, Gonzalez-Monje I, Castañer O, Abete I, Tojal-Sierra L, Benavente-Marín JC, Signes-Pastor A, Konieczna J, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Bes-Rastrollo M, Mestres C, Guillem-Saiz P, Goday A, Goicolea-Güemez L, Puig-Aguiló E, Ruiz-Canela M, Palau-Galindo A, Fitó M, Tur JA. Association of monetary diet cost of foods and diet quality in Spanish older adults. Front Public Health 2023; 11:1166787. [PMID: 37559740 PMCID: PMC10408666 DOI: 10.3389/fpubh.2023.1166787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/26/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND A major barrier to a healthy diet may be the higher price of healthy foods compared to low-quality foods. OBJECTIVES This study aimed to assess the association between the monetary cost of food and diet quality in Spanish older adults at high risk of cardiovascular disease. METHODS Cross-sectional analysis was carried out in Spanish older adults (n = 6,838; 48.6% female). A validated food frequency questionnaire was used to assess dietary intake. Metabolic syndrome severity, adherence to the Mediterranean diet (MedDiet), adherence to a provegetarian dietary pattern, and dietary inflammatory index were assessed. The economic cost of the foods was obtained from the Spanish Ministry of Agriculture Fisheries and Food database (2015-2017, the period of time when the participants were recruited). The total cost of diet adjusted per 1,000 kcal was computed. RESULTS The healthier dietary pattern was associated with a higher cost of the diet. Higher adherence to the MedDiet, anti-inflammatory diet, and the healthy version of the provegetarian dietary pattern were related to higher costs of the diet. CONCLUSION Higher diet quality was associated with a higher dietary cost of the diet per 1,000 kcal/day. Food prices can be an important component of interventions and policies aimed at improving people's diets and preventing diet-related chronic diseases. CLINICAL TRIAL REGISTRY NUMBER The trial was registered in 2014 at the International Standard Randomized Controlled Trial (ISRCT; http://www.isrctn.com/ISRCTN89898870) with the number 89898870.
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Faculty of Health Sciences, Catholic University of Ávila, Ávila, Spain
| | - Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández, ISABIAL-UMH, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Blanca Riquelme-Gallego
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Anny Romero-Secin
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Consultorio de Colloto, Centro de Salud Ventanielles, Oviedo, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitari de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - José J. Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaén, Jaén, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), Hospital Clínico San Carlos, Universidad Complutense, Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ana García-Arellano
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Osasunbidea, Servicio Navarro de Salud, Atención Primaria, Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | | | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Juan Carlos Benavente-Marín
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Antonio Signes-Pastor
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández, ISABIAL-UMH, Alicante, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - José C. Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Cristina Mestres
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | | | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Antoni Palau-Galindo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- ABS Reus V. Centre d'Assistència Primària Marià Fortuny, Salut Sant Joan de Reus-Baix Camp, Reus, Spain
| | - Montse Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
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Paz-Graniel I, Babio N, Nishi SK, Martínez-González MÁ, Corella D, Fitó M, Martínez A, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Sánchez VM, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Calderon-Sanchez C, Daimiel L, Ros E, Fernández-Aranda F, Toledo E, Valle-Hita C, Sorli JV, Lassale C, Garcia-Rios A, Oncina-Canovas A, Barón-López FJ, Zulet MA, Rayó E, Casas R, Thomas-Carazo E, Tojal-Sierra L, Damas-Fuentes M, Ruiz-Canela M, De las Heras-Delgado S, Fernandez-Carrión R, Castañer O, Peña-Orihuela PJ, Gonzalez-Palacios S, Buil-Cosiales P, Goday A, Salas-Salvadó J. How Did the COVID-19 Lockdown Pandemic Affect the Depression Symptomatology in Mediterranean Older Adults with Metabolic Syndrome? Depress Anxiety 2023; 2023:6765950. [PMID: 40224603 PMCID: PMC11921839 DOI: 10.1155/2023/6765950] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/17/2023] [Accepted: 05/25/2023] [Indexed: 01/11/2025] Open
Abstract
Background and Aims To control the COVID-19 spread, in March 2020, a forced home lockdown was established in Spain. In the present study, we aimed to assess the effect of mobility and social COVID-19-established restrictions on depressive symptomatology in older adults with metabolic syndrome. We hypothesize that severe restrictions might have resulted in detrimental changes in depressive symptomatology. Methods 2,312 PREDIMED-Plus study participants (men = 53.9%; mean age = 64.9 ± 4.8 years) who completed a COVID-19 lockdown questionnaire to assess the severity of restrictions/lockdown and the validated Spanish version of the Beck Depression Inventory-II (BDI-II) during the three established phases concerning the COVID-19 lockdown in Spain (prelockdown, lockdown, and postlockdown) were included in this longitudinal analysis. Participants were categorized according to high or low lockdown severity. Analyses of covariance were performed to assess changes in depressive symptomatology across lockdown phases. Results No significant differences in participant depression symptomatology changes were observed between lockdown severity categories (low/high) at the studied phases. During the lockdown phase, participants showed a decrease in BDI-II score compared to the prelockdown phase (mean (95% CI), -0.48 (-0.24, -0.72), P < 0.001); a nonsignificantly larger decrease was observed in participants allocated in the low-lockdown category (low: -0.59 (-0.95, -0.23), high: -0.43 (-0.67, -0.19)). Similar decreases in depression symptomatology were found for the physical environment dimension. The post- and prelockdown phase BDI-II scores were roughly similar. Conclusions The COVID-19 pandemic lockdown was associated with a decrease in depressive symptomatology that returned to prelockdown levels after the lockdown. The degree of lockdown was not associated with depressive symptomatology. The potential preventive role of the physical environment and social interactions on mental disorders during forced home lockdown should be further studied. This trial is registered with ISRCTN89898870. Retrospectively registered on 24 July 2014.
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Affiliation(s)
- Indira Paz-Graniel
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Nancy Babio
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Stephanie K. Nishi
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, ON, Canada
| | - Miguel Ángel Martínez-González
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Alfredo Martínez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdisNA), 31008 Pamplona, Spain
| | - Ángel M. Alonso-Gómez
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain
- University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- EpiPHAAN Research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez, ISABIAL-UMH, 03550 Alicante, Spain
| | - Dora Romaguera
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J. Luís Serra-Majem
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain
- University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain
- University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Division of Preventive Medicine, Faculty of Medicine; Instituto Universitario de Investigación en Olivar y Aceites de Oliva (INUO), University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Universidad Complutense, Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Cristina Calderon-Sanchez
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emili Ros
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Fernando Fernández-Aranda
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Hospitalet de Llobregat, 08907 Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), 08907 Barcelona, Spain
- Clinical Psychology Unit, University Hospital of Bellvitge, 08907 Barcelona, Spain
| | - Estefania Toledo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Cristina Valle-Hita
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V. Sorli
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Camille Lassale
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Antonio Garcia-Rios
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Alejandro Oncina-Canovas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez, ISABIAL-UMH, 03550 Alicante, Spain
| | - Francisco Javier Barón-López
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- EpiPHAAN Research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - M. Angeles Zulet
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdisNA), 31008 Pamplona, Spain
| | - Elena Rayó
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria (INSA-UB), University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Vitoria-Gasteiz, Spain
- Osakidetza Basque Health Service, Araba University Hospital, Vitoria-Gasteiz, Spain
- University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Miguel Damas-Fuentes
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Sara De las Heras-Delgado
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Rebeca Fernandez-Carrión
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Patricia J. Peña-Orihuela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Sandra Gonzalez-Palacios
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez, ISABIAL-UMH, 03550 Alicante, Spain
| | - Pilar Buil-Cosiales
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Navarra Institute for Health Research (IdisNA), 31008 Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud, Spain
| | - Albert Goday
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
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González-Palacios S, Oncina-Cánovas A, García-de-la-Hera M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibañez N, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Atzeni A, Sorli JV, Zomeño MD, Peña-Orihuela PJ, Compañ-Gabucio LM, Barón-López FJ, Zulet MÁ, Konieczna J, Casas RM, Garrido-Garrido EM, Tojal-Sierra L, Gomez-Perez AM, Ruiz-Canela M, Palau A, Saiz C, Pérez-Vega KA, Garcia-Rios A, Torres-Collado L, Basterra-Gortari J, Garcidueñas-Fimbres TE, Malcampo M, Vioque J. Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial. Atherosclerosis 2023; 377:12-23. [PMID: 37343432 DOI: 10.1016/j.atherosclerosis.2023.05.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND AND AIMS The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). CONCLUSIONS Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.
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Affiliation(s)
- Sandra González-Palacios
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Alejandro Oncina-Cánovas
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Manuela García-de-la-Hera
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibañez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d' Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28660, Boadilla del Monte, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Alessandro Atzeni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura M Compañ-Gabucio
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Francisco J Barón-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - María Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Rosa M Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana M Gomez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Antoni Palau
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centre d'Assistència Primària Marià Fortuny, ABS Reus V. Salut Sant Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Servicio de Endocrinología, Hospital Universitario de Navarra, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Tany E Garcidueñas-Fimbres
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Jesús Vioque
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
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Méndez-López F, Oliván-Blázquez B, Domínguez-García M, Bartolomé-Moreno C, Rabanaque I, Magallón-Botaya R. Protocol for an observational cohort study on psychological, addictive, lifestyle behavior and highly prevalent affective disorders in primary health care adults. Front Psychiatry 2023; 14:1121389. [PMID: 37363179 PMCID: PMC10288582 DOI: 10.3389/fpsyt.2023.1121389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 05/23/2023] [Indexed: 06/28/2023] Open
Abstract
Background Depression and anxious symptoms are prevalent in the general population, and their onset and persistence may be linked to biological and psychosocial factors, many of which are lifestyle-related. The way we manage our care, physical and emotional health and/or discomfort is highly influenced by our own abilities, skills and attitudes despite life's circumstances. The main aim of this protocol to analyze the relationship between psychological constructs (self-efficacy, activation, health literacy, resilience, personality traits, sense of coherence, self-esteem), and the presence of affective-emotional problems (anxiety, depression) and addictions in primary health care. Methods This is a protocol of a prospective longitudinal cohort study including people of 35-74 years old of Aragon primary health care centers (Spain). Three evaluations will be conducted: baseline evaluation, and follow-up assessments five and ten years after recruitment. The primary outcomes will be severity of depression, severity of anxiety, and addictive behaviors. A detailed set of secondary outcomes will be assessed across all three assessments. This will include psychosocial or personal factors on health behavior, social support, lifestyle patterns, quality of life, the use of health and social resources, and chronic comorbid pathology. Discussion The analysis of the impact of psychological constructs and lifestyles on the mental health of people and communities will provide evidence that will make it possible to better address and prevent these prevalent problems and address their improvement from a more global and holistic perspective. The evaluation of psychological constructs should be incorporated into health services to improve people's ability their self-care, the level of knowledge of managing their disease and their physical, mental and social health. Clinical trial registration https://www.isrctn.com/, identifier ISRCTN12820058.
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Affiliation(s)
- Fátima Méndez-López
- Aragonese Primary Care Research Group, Health Research Institute of Aragon (IISA), Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) RD21/0016/0001, Zaragoza, Spain
| | - Bárbara Oliván-Blázquez
- Aragonese Primary Care Research Group, Health Research Institute of Aragon (IISA), Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) RD21/0016/0001, Zaragoza, Spain
- Department of Psychology and Sociology, University of Zaragoza, Zaragoza, Spain
| | - Marta Domínguez-García
- Aragonese Primary Care Research Group, Health Research Institute of Aragon (IISA), Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) RD21/0016/0001, Zaragoza, Spain
- Aragonese Healthcare Service (SALUD), Zaragoza, Spain
| | - Cruz Bartolomé-Moreno
- Aragonese Primary Care Research Group, Health Research Institute of Aragon (IISA), Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) RD21/0016/0001, Zaragoza, Spain
- Aragonese Healthcare Service (SALUD), Zaragoza, Spain
- Department of Family and Community Care Teaching - Sector I, Aragonese Healthcare Service, Zaragoza, Spain
| | - Isabel Rabanaque
- Department of Geography and Territorial Planning, University of Zaragoza, Zaragoza, Spain
| | - Rosa Magallón-Botaya
- Aragonese Primary Care Research Group, Health Research Institute of Aragon (IISA), Zaragoza, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) RD21/0016/0001, Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, University of Zaragoza, Zaragoza, Spain
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Carrasco-Querol N, González Serra G, Bueno Hernández N, Gonçalves AQ, Pastor Cazalla M, Bestratén del Pino P, Montesó Curto P, Caballol Angelats R, Fusté Anguera I, Sancho Sol MC, Castro Blanco E, Vila-Martí A, Medina-Perucha L, Fernández-Sáez J, Dalmau Llorca MR, Aguilar Martín C. Effectiveness and health benefits of a nutritional, chronobiological and physical exercise primary care intervention in fibromyalgia and chronic fatigue syndrome: SYNCHRONIZE + mixed-methods study protocol. Medicine (Baltimore) 2023; 102:e33637. [PMID: 37115043 PMCID: PMC10145802 DOI: 10.1097/md.0000000000033637] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
INTRODUCTION Chronic pain, fatigue and insomnia are classic symptoms of fibromyalgia (FM) and chronic fatigue syndrome (CFS) and seriously affect quality of life. Nutrition and chronobiology are often overlooked in multicomponent approach despite their potential. This study aims to evaluate the effectiveness of a multidisciplinary group intervention based on nutrition, chronobiology, and physical exercise in the improvement of lifestyle and quality of life in FM and CFS. METHODS Mixed-methods study based on a randomized clinical trial and qualitative analysis with a descriptive phenomenological approach. The study will be conducted in primary care in Catalonia. The control group will follow the usual clinical practice and the intervention group the usual practice plus the studied intervention (12 hours over 4 days). The intervention based on nutrition, chronobiology and physical exercise will be designed considering participants' opinions as collected in 4 focus groups. To evaluate effectiveness, EuroQol-5D, multidimensional fatigue inventory, VAS pain, Pittsburgh Sleep Quality Index, erMEDAS-17, biological rhythms interview of assessment in neuropsychiatry, REGICOR-Short, FIQR and Hospital Anxiety and Depression Scale questionnaires will be collected at baseline, and at 1, 3, 6, and 12 months post-intervention. Food intake, body composition, resistance and, strength will also be evaluated. The effect size will be calculated using Cohen d and logistic regression models will be used to quantify the impact of the intervention by adjusting for different variables. DISCUSSION It expected that the intervention will improve the patients' quality of life, fatigue, pain and insomnia, as well as food and physical exercise habits, providing effectiveness evidence of a new therapy in addressing these syndromes in Primary Heath Care. Improvements in the quality of life will have a positive socioeconomic impact by reducing health expenditure on recurrent medical consultation, medication, complementary medical tests, etc and favor the maintenance of an active working life and productivity.
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Affiliation(s)
- Noèlia Carrasco-Querol
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
| | - Gemma González Serra
- Servei de Rehabilitació i Medicina Física, Hospital de Tortosa Verge de la Cinta i Atenció Primària Terres de l’Ebre, Gerència Territorial de Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Tortosa, Spain
| | - Nerea Bueno Hernández
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
| | - Alessandra Queiroga Gonçalves
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
| | - Marta Pastor Cazalla
- Servei de Rehabilitació i Medicina Física, Hospital de Tortosa Verge de la Cinta i Atenció Primària Terres de l’Ebre, Gerència Territorial de Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
| | - Pau Bestratén del Pino
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
- Servei de Rehabilitació i Medicina Física, Hospital de Tortosa Verge de la Cinta i Atenció Primària Terres de l’Ebre, Gerència Territorial de Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
| | - Pilar Montesó Curto
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Centre d’Atenció Primària Baix Ebre, Direcció d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
- Campus Terres de l’Ebre, Universitat Rovira i Virgili (URV), Tortosa, Spain
| | - Rosa Caballol Angelats
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Centre d’Atenció Primària El Temple, Direcció d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
- Unitat d’Expertesa en Sindromes de Sensibilització Central Terres de l’Ebre, Gerència Territorial de Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
| | - Immaculada Fusté Anguera
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Centre d’Atenció Primària El Temple, Direcció d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
- Unitat d’Expertesa en Sindromes de Sensibilització Central Terres de l’Ebre, Gerència Territorial de Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
| | - Mª Cinta Sancho Sol
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
- Unitat d’Expertesa en Sindromes de Sensibilització Central Terres de l’Ebre, Gerència Territorial de Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
| | - Elisabet Castro Blanco
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
- Campus Terres de l’Ebre, Universitat Rovira i Virgili (URV), Tortosa, Spain
| | - Anna Vila-Martí
- Research group M3O - Methodology, Methods, Models and Outcomes. Facultat de Ciències de la Salut i el Benestar, Universitat de Vic, Universitat Central de Catalunya (UVIC), Vic, Spain
| | - Laura Medina-Perucha
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Spain
| | - José Fernández-Sáez
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
- Campus Terres de l’Ebre, Universitat Rovira i Virgili (URV), Tortosa, Spain
- Unitat Docent de Medicina de Familia i Comunitària, Tortosa-Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
| | - M. Rosa Dalmau Llorca
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
- Centre d’Atenció Primària Baix Ebre, Direcció d’Atenció Primària Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
- Campus Terres de l’Ebre, Universitat Rovira i Virgili (URV), Tortosa, Spain
| | - Carina Aguilar Martín
- Unitat de Suport a la Recerca Terres de l’Ebre, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Tortosa, Spain
- Unitat d’Avaluació i Recerca, Direcció d’Atenció Primària Terres de l’Ebre i Gerència Territorial Terres de l’Ebre, Institut Català de la Salut (ICS), Tortosa, Spain
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López-Gil JF, García-Hermoso A, Smith L, Gallego A, Victoria-Montesinos D, Ezzatvar Y, Hershey MS, Gutiérrez-Espinoza H, Mesas AE, Jiménez-López E, Sánchez-Miguel PA, López-Benavente A, Moreno-Galarraga L, Chen S, Brazo-Sayavera J, Fernandez-Montero A, Alcaraz PE, Panisello Royo JM, Tárraga-López PJ, Kales SN. A Cluster Randomized Controlled Trial of the Archena Infancia Saludable Project on 24-h Movement Behaviors and Adherence to the Mediterranean Diet among Schoolchildren: A Pilot Study Protocol. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10040738. [PMID: 37189987 DOI: 10.3390/children10040738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 05/17/2023]
Abstract
Objective: The aim of this paper is to describe the protocol of pilot cluster randomized controlled trial (RCT) that will evaluate the effects of a lifestyle-based intervention. The Archena Infancia Saludable project will have several objectives. The primary objective of this project is to determine the 6-month effects of a lifestyle-based intervention on adherence to 24-h movement behaviors and Mediterranean diet (MedDiet) in schoolchildren. The secondary objective of this project is to test the intervention effects of this lifestyle-based intervention on a relevant set of health-related outcomes (i.e., anthropometric measurements, blood pressure, perceived physical fitness, sleep habits, and academic performance). The tertiary objective is to investigate this intervention's "halo" effect on parents'/guardians' 24-h movement behaviors and adherence to the MedDiet. Methods: The Archena Infancia Saludable trial will be a cluster RCT submitted to the Clinical Trials Registry. The protocol will be developed according to SPIRIT guidelines for RCTs and CONSORT statement extension for cluster RCTs. A total of 153 eligible parents/guardians with schoolchildren aged 6-13 years will be randomized into an intervention group or a control group. This project focuses on two fundamental pillars: 24-h movement behaviors and MedDiet. It will mainly focus on the relationship between parents/guardians and their children. Behavior change strategies for dietary and 24-h movement behaviors in schoolchildren will be based on healthy lifestyle education for parents/guardians through infographics, video recipes, brief video clips, and videos. Conclusions: Most of the current knowledge on 24-h movement behaviors and adherence to the MedDiet is based on cross-sectional or longitudinal cohort studies, warranting a need to design and conduct RCTs to obtain more robust evidence on the effect of a healthy lifestyle program to increase 24-h movement behaviors and to improve adherence to the MedDiet in schoolchildren.
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Affiliation(s)
- José Francisco López-Gil
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31006 Pamplona, Spain
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA 02138, USA
- One Health Research Group, Universidad de Las Américas, Quito 170124, Ecuador
| | - Antonio García-Hermoso
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31006 Pamplona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge CB1 1PT, UK
| | - Alejandra Gallego
- Department of Applied Economics, Faculty of Economics and Business, University of Murcia, 30100 Murcia, Spain
| | | | - Yasmin Ezzatvar
- Department of Nursing, Universitat de València, 46007 Valencia, Spain
| | - Maria S Hershey
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA 02138, USA
| | | | - Arthur Eumann Mesas
- Health and Social Research Center, Universidad de Castilla-La Mancha (UCLM), 16071 Cuenca, Spain
- Postgraduate Program in Public Health, Universidade Estadual de Londrina, Londrina 86057-970, Brazil
| | - Estela Jiménez-López
- Health and Social Research Center, Universidad de Castilla-La Mancha (UCLM), 16071 Cuenca, Spain
| | - Pedro Antonio Sánchez-Miguel
- Grupo Análisis Comportamental de la Actividad Física y el Deporte (ACAFYDE), Departamento de Didáctica de la Expresión Musical, Plástica y Corporal, Facultad de Formación del Profesorado, Universidad de Extremadura, 10003 Cáceres, Spain
| | - Alba López-Benavente
- Departamento de Expresión Plástica, Musical y Dinámica, Facultad de Educación, Universidad de Murcia, 30100 Espinardo, Spain
| | - Laura Moreno-Galarraga
- IdiSNA (Instituto de Investigación Sanitaria de Navarra), 31008 Pamplona, Spain
- Department of Pediatrics, Complejo Hospitalario de Navarra, Servicio Navarro de Salud, 31008 Pamplona, Spain
| | - Sitong Chen
- Institute for Health and Sport, Victoria University, Melbourne 8001, Australia
| | - Javier Brazo-Sayavera
- PDU EFISAL, Centro Universitario Regional Noreste, Universidad de la República (UdelaR), Rivera 40000, Uruguay
- Department of Sports and Computer Science, Universidad Pablo de Olavide (UPO), 41013 Seville, Spain
| | - Alejandro Fernandez-Montero
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA 02138, USA
- IdiSNA (Instituto de Investigación Sanitaria de Navarra), 31008 Pamplona, Spain
- Department of Occupational Medicine, University of Navarra, 31008 Pamplona, Spain
| | - Pedro Emilio Alcaraz
- Research Center for High Performance Sport, San Antonio Catholic University of Murcia, 30830 Murcia, Spain
- Faculty of Sport Sciences, San Antonio Catholic University of Murcia, 30107 Murcia, Spain
| | | | - Pedro J Tárraga-López
- Departamento de Ciencias Médicas, Facultad de Medicina, Universidad Castilla-La Mancha (UCLM), 02008 Albacete, Spain
| | - Stefanos N Kales
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA 02138, USA
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Henn M, Babio N, Romaguera D, Vázquez-Ruiz Z, Konieczna J, Vioque J, Torres-Collado L, Razquin C, Buil-Cosiales P, Fitó M, Schröder H, Hu FB, Abete I, Zulet MÁ, Fernández-Villa T, Martín V, Estruch R, Vidal J, Paz-Graniel I, Martínez JA, Salas-Salvadó J, Martínez-González MA, Ruiz-Canela M. Increase from low to moderate, but not high, caffeinated coffee consumption is associated with favorable changes in body fat. Clin Nutr 2023; 42:477-485. [PMID: 36870243 DOI: 10.1016/j.clnu.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/07/2022] [Accepted: 02/07/2023] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Higher consumption of coffee and caffeine has been linked to less weight gain and lower body mass index in prospective cohort studies. The aim of the study was to longitudinally assess the association of changes in coffee and caffeine intake with changes in fat tissue, in particular, visceral adipose tissue (VAT) using dual x-ray absorptiometry (DXA). METHODS In the setting of a large, randomized trial of Mediterranean diet and physical activity intervention, we evaluated 1483 participants with metabolic syndrome (MetS). Repeated measurements of coffee consumption from validated food frequency questionnaires (FFQ) and DXA measurements of adipose tissue were collected at baseline, 6 months, 12 months and 3 years of follow-up. DXA-derived measurements of total and regional adipose tissue expressed as % of total body weight were transformed into sex-specific z-scores. Linear multilevel mixed-effect models were used to investigate the relationship between changes in coffee consumption and corresponding concurrent changes in fat tissue during a 3-year follow-up. RESULTS After adjustment for intervention group, and other potential confounders, an increase in caffeinated coffee consumption from no or infrequent consumption (≤3 cups/month) to moderate consumption (1-7 cups/week) was associated with reductions in total body fat (Δ z-score: -0.06; 95% CI: -0.11 to -0.02), trunk fat (Δ z-score: -0.07; 95% CI: -0.12 to -0.02), and VAT (Δ z-score: -0.07; 95% CI: -0.13 to -0.01). Neither changes from no or infrequent consumption to high levels of caffeinated coffee consumption (>1 cup/day) nor any changes in decaffeinated coffee consumption showed significant associations with changes in DXA measures. CONCLUSIONS Moderate changes in the consumption of caffeinated coffee, but not changes to high consumption, were associated with reductions in total body fat, trunk fat and VAT in a Mediterranean cohort with MetS. Decaffeinated coffee was not linked to adiposity indicators. Moderate consumption of caffeinated coffee may be part of a weight management strategy. TRIAL REGISTRATION The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.
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Affiliation(s)
- Matthias Henn
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Nancy Babio
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Zenaida Vázquez-Ruiz
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Cristina Razquin
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Buil-Cosiales
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Servicios de Atención Primaria, Servicio Navarro de Salud, Osasunbidea, Pamplona, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Helmut Schröder
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Itziar Abete
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - M Ángeles Zulet
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Tania Fernández-Villa
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS) / Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS) / Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Endocrinology, Institut D'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Indira Paz-Graniel
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - Miguel A Martínez-González
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
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45
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Chiriacò M, Tubili C, Bo S, Parillo M, Vetrani C, Mazzotti A, Pistis D, Marelli G, Grandone I, Natali A. Critical evaluation of the questionnaires assessing adherence to the Mediterranean diet that are based on servings. Nutr Metab Cardiovasc Dis 2023; 33:724-736. [PMID: 36842958 DOI: 10.1016/j.numecd.2023.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND AND AIMS The Mediterranean Diet (MD) is characterized by a high intake of vegetables, fruit, legumes, nuts, and olive oil, and moderate fish, dairy, and wine intake. A high adherence to MD has been associated with numerous health benefits, including reduced risk of chronic diseases such as cardiovascular disease, cancer, and type 2 diabetes. The clinical assessment of MD adherence is complicated by the absence of a univocally accepted tool and by the abundance of questionnaires developed to determine adherence, whose reliability and validity is uncertain. In this inter-associative document, we critically evaluated servings-based questionnaires for the assessment of MD adherence, aiming to identify the most valuable tool for the use in clinical practice. METHODS AND RESULTS For each questionnaire, we analyzed the structure, evidence on health-related outcomes and agreement with the recommendations of MD. We found that most questionnaires do not accurately reflect the principles of MD in terms of the food groups and their optimal consumption frequency. Additionally, the comparison of questionnaires revealed low agreement and some concerns with regard to the scoring assumptions. CONCLUSIONS Among the available questionnaires, we suggest the use of the 15-Items Pyramid based Mediterranean Diet Score (PyrMDS), which is the one with fewer flaws and a strong supporting body of theoretical and scientific evidence. The use of the PyrMDS may facilitate the assessment of MD adherence in clinical practice, which is instrumental in reducing the risk of non-communicable chronic diseases.
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Affiliation(s)
- Martina Chiriacò
- Dipartimento di Medicina Clinica e Sperimentale - Università di Pisa, Italy.
| | - Claudio Tubili
- UOSD Diabetologia, Azienda Ospedaliera "S. Camillo - Forlanini", Roma, Italy
| | - Simona Bo
- Dipartimento di Scienze Mediche, Università di Torino, Italy
| | - Mario Parillo
- UOSD Endocrinologia e Malattie dismetaboliche, Azienda Ospedaliera di Caserta, Italy
| | - Claudia Vetrani
- UO Endocrinologia, Dipartimento di Medicina Clinica, Università di Napoli "Federico II", Italy
| | - Arianna Mazzotti
- UO Diabetologia, Ospedale Santa Maria delle Croci, Ravenna, Italy
| | - Danila Pistis
- UO Diabetologia- Poliambulatorio Quartu S.Elena Asl Cagliari, Italy
| | - Giuseppe Marelli
- Servizio di Diabetologia/Endocrinologia, Ospedale Sacra Famiglia Fatebenefratelli - Erba (CO), Italy
| | - Ilenia Grandone
- Sc Diabetologia, Dietologia e Nutrizione Clinica - AOSP Terni, Italy
| | - Andrea Natali
- Dipartimento di Medicina Clinica e Sperimentale - Università di Pisa, Italy; Centro di Ricerca Nutraceutica e Alimentazione per la Salute NUTRAFOOD
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Fernández-Carrión R, Sorlí JV, Asensio EM, Pascual EC, Portolés O, Alvarez-Sala A, Francès F, Ramírez-Sabio JB, Pérez-Fidalgo A, Villamil LV, Tinahones FJ, Estruch R, Ordovas JM, Coltell O, Corella D. DNA-Methylation Signatures of Tobacco Smoking in a High Cardiovascular Risk Population: Modulation by the Mediterranean Diet. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3635. [PMID: 36834337 PMCID: PMC9964856 DOI: 10.3390/ijerph20043635] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Biomarkers based on DNA methylation are relevant in the field of environmental health for precision health. Although tobacco smoking is one of the factors with a strong and consistent impact on DNA methylation, there are very few studies analyzing its methylation signature in southern European populations and none examining its modulation by the Mediterranean diet at the epigenome-wide level. We examined blood methylation smoking signatures on the EPIC 850 K array in this population (n = 414 high cardiovascular risk subjects). Epigenome-wide methylation studies (EWASs) were performed analyzing differential methylation CpG sites by smoking status (never, former, and current smokers) and the modulation by adherence to a Mediterranean diet score was explored. Gene-set enrichment analysis was performed for biological and functional interpretation. The predictive value of the top differentially methylated CpGs was analyzed using receiver operative curves. We characterized the DNA methylation signature of smoking in this Mediterranean population by identifying 46 differentially methylated CpGs at the EWAS level in the whole population. The strongest association was observed at the cg21566642 (p = 2.2 × 10-32) in the 2q37.1 region. We also detected other CpGs that have been consistently reported in prior research and discovered some novel differentially methylated CpG sites in subgroup analyses. In addition, we found distinct methylation profiles based on the adherence to the Mediterranean diet. Particularly, we obtained a significant interaction between smoking and diet modulating the cg5575921 methylation in the AHRR gene. In conclusion, we have characterized biomarkers of the methylation signature of tobacco smoking in this population, and suggest that the Mediterranean diet can increase methylation of certain hypomethylated sites.
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Affiliation(s)
- Rebeca Fernández-Carrión
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - José V. Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva M. Asensio
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva C. Pascual
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Andrea Alvarez-Sala
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Francesc Francès
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | - Alejandro Pérez-Fidalgo
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain
- Biomedical Research Networking Centre on Cancer (CIBERONC), Health Institute Carlos III, 28029 Madrid, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Laura V. Villamil
- Department of Physiology, School of Medicine, University Antonio Nariño, Bogotá 111511, Colombia
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29590 Málaga, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Jose M. Ordovas
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, UAM + CSIC, 28049 Madrid, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
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Castro-Barquero S, Casas R, Rimm EB, Tresserra-Rimbau A, Romaguera D, Martínez JA, Salas-Salvadó J, Martínez-González MA, Vidal J, Ruiz-Canela M, Konieczna J, Sacanella E, García-Gavilán JF, Fitó M, García-Arellano A, Estruch R. Loss of Visceral Fat is Associated with a Reduction in Inflammatory Status in Patients with Metabolic Syndrome. Mol Nutr Food Res 2023; 67:e2200264. [PMID: 36416291 DOI: 10.1002/mnfr.202200264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
SCOPE Excessive visceral adipose tissue (VAT) is associated with higher secretion of pro-inflammatory molecules, contributing to systemic inflammation and obesity-related metabolic disturbances. METHODS AND RESULTS This prospective analysis includes 117 overweight/obese adults (55-75 years) from the PREDIMED-Plus study. Fourteen inflammatory markers and adipokines are measured using a Bio-Plex assay with multiplex technology: insulin, glucagon, IL-6, visfatin, ghrelin, GLP-1, TNF-α, MCP-1, PAI-1, resistin, C-peptide, leptin, adipsin, and adiponectin. Participants are categorized into tertiles according to changes in VAT after 1-year of follow-up, determined by dual-energy X-Ray absorptiometry. Participants allocate in tertile 3, which represent an increase of VAT content after 1-year of follow-up compared to tertile 1, show significant differences in insulin (T3 vs T1, fully adjusted model: p = 0.037, p for trend 0.042), PAI-1 (fully adjusted model: p = 0.05, p for trend 0.06), c-peptide (fully adjusted model: p = 0.037, p for trend 0.042), and TNF-α (fully adjusted model p = 0.037, p for trend 0.042). CONCLUSION The results evidence that a reduction in VAT is associated with clinical improvements in several inflammatory and adiposity markers, mainly in insulin, c-peptide, and PAI-1 levels, and these improvements may contribute to a reduction in cardiometabolic disturbances observe in obesity.
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Affiliation(s)
- Sara Castro-Barquero
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Eric B Rimm
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Anna Tresserra-Rimbau
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA, School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, 31009, Spain
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, 28049, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, 43201, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, 43204, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain
| | - Miguel A Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Emilio Sacanella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Jesús Francisco García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, 43201, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, 43204, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, 08003, Spain
| | - Ana García-Arellano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
- Emergency Medicine, Osasunbidea, Navarra Regional Health Service, Pamplona, 31003, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
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Paz-Graniel I, Fitó M, Ros E, Buil-Cosiales P, Corella D, Babio N, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Martín-Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, García-Gavilán JF, Toledo E, Nishi SK, Sorlí JV, Castañer O, García-Ríos A, García de la Hera M, Barón-López FJ, Ruiz-Canela M, Morey M, Casas R, Garrido-Garrido EM, Tojal-Sierra L, Fernández-García JC, Vázquez-Ruiz Z, Fernández-Carrión R, Goday A, Peña-Orihuela PJ, Compañ-Gabucio L, Schröder H, Martínez-Gonzalez MA, Salas-Salvadó J. Impact of COVID-19 pandemic on the PREDIMED-Plus randomized clinical trial: Effects on the interventions, participants follow-up, and adiposity. Front Nutr 2023; 9:1098269. [PMID: 36712515 PMCID: PMC9878159 DOI: 10.3389/fnut.2022.1098269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has affected the implementation of most ongoing clinical trials worldwide including the PREDIMED-Plus study. The PREDIMED-Plus is an ongoing, multicenter, controlled intervention trial, aimed at weight-loss and cardiovascular disease prevention, in which participants were randomized (1:1 ratio) to an intervention group (energy-reduced Mediterranean diet, promotion of physical activity, and behavioral support) or to a control group (Mediterranean diet with usual care advice). When the pandemic began, the trial was in the midst of the planned intervention. The objective of this report was to examine the effects of the pandemic on the delivery of the intervention and to describe the strategies established to mitigate the possible adverse effects of the pandemic lockdown on data collection and adiposity. METHODS We assessed the integrity of the PREDIMED-Plus trial during 5 identified periods of the COVID-19 pandemic determined according to restrictions dictated by the Spanish government authorities. A standardized questionnaire was delivered to each of the 23 PREDIMED-Plus recruiting centers to collected data regarding the trial integrity. The effect of the restrictions on intervention components (diet, physical activity) was evaluated with data obtained in the three identified lockdown phases: pre lockdown, lockdown proper, and post lockdown. RESULTS During the lockdown (March/2020-June/2021), 4,612 participants (48% women, mean age 65y) attended pre-specified yearly follow-up visits to receive lifestyle recommendations and obtain adiposity measures. The overall mean (SD) of the proportions reported by each center showed that 40.4% (25.4) participants had in-person visits, 39.8% (18.2) participants were contacted by telephone and 35% (26.3) by electronic means. Participants' follow-up and data collection rates increased across lockdown periods (from ≈10% at onset to ≈80% at the end). Compared to pre-lockdown, waist circumference increased during (0.75 cm [95% CI: 0.60-0.91]) and after (0.72 cm [95% CI: 0.56-0.89]) lockdown. Body weight did not change during lockdown (0.01 kg [95% CI: -0.10 to 0.13) and decreased after lockdown (-0.17 kg [95% CI: -0.30 to -0.04]). CONCLUSION Mitigating strategies to enforce the intervention and patient's follow-up during lockdown have been successful in preserving the integrity of the trial and ensuring its continuation, with minor effects on adiposity. CLINICAL TRIAL REGISTRATION https://doi.org/10.1186/ISRCTN89898870, identifier ISRCTN89898870.
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Affiliation(s)
- Indira Paz-Graniel
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Montserrat Fitó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain
| | - Emilio Ros
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Pilar Buil-Cosiales
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Primary Health Care, IdiSNA, Servicio Navarro de Salud, Pamplona, Spain
| | - Dolores Corella
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- School of Medicine, Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Nancy Babio
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - J. Alfredo Martínez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica en Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Seville, Seville, Spain
| | - Lluis Serra-Majem
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-Idibell, Hospitalet de Llobregat, Universitat de Barcelona, Barcelona, Spain
| | - José Juan Gaforio
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
- Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Universidad Complutense, Madrid, Spain
| | - Josep Vidal
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Jesus F. García-Gavilán
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Estefanía Toledo
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Stephanie K. Nishi
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Unity Health Toronto, ON, Canada
| | - Jose V. Sorlí
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- School of Medicine, Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Manoli García de la Hera
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Francisco Javier Barón-López
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica en Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Marga Morey
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - José C. Fernández-García
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - Zenaida Vázquez-Ruiz
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Rebeca Fernández-Carrión
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- School of Medicine, Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Albert Goday
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain
| | - Patricia J. Peña-Orihuela
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Laura Compañ-Gabucio
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d‘Investigació Médica (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, España
| | - Miguel A. Martínez-Gonzalez
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Jordi Salas-Salvadó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
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García S, Bouzas C, Mateos D, Pastor R, Álvarez L, Rubín M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Pintó X, Gaforio JJ, Matía P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Guillem-Saiz P, Nishi S, Cabanes R, Abete I, Goicolea-Güemez L, Gómez-Gracia E, Signes-Pastor AJ, Colom A, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Vázquez Z, Sorlí JV, Pascual M, Castañer O, Zulet MA, Vaquero-Luna J, Basterra-Gortari FJ, Babio N, Ciurana R, Martín-Sánchez V, Tur JA. Carbon dioxide (CO 2) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index. Environ Health 2023; 22:1. [PMID: 36600281 PMCID: PMC9814202 DOI: 10.1186/s12940-022-00956-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 12/29/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Research related to sustainable diets is is highly relevant to provide better understanding of the impact of dietary intake on the health and the environment. AIM To assess the association between the adherence to an energy-restricted Mediterranean diet and the amount of CO2 emitted in an older adult population. DESIGN AND POPULATION Using a cross-sectional design, the association between the adherence to an energy-reduced Mediterranean Diet (erMedDiet) score and dietary CO2 emissions in 6646 participants was assessed. METHODS Food intake and adherence to the erMedDiet was assessed using validated food frequency questionnaire and 17-item Mediterranean questionnaire. Sociodemographic characteristics were documented. Environmental impact was calculated through greenhouse gas emissions estimations, specifically CO2 emissions of each participant diet per day, using a European database. Participants were distributed in quartiles according to their estimated CO2 emissions expressed in kg/day: Q1 (≤2.01 kg CO2), Q2 (2.02-2.34 kg CO2), Q3 (2.35-2.79 kg CO2) and Q4 (≥2.80 kg CO2). RESULTS More men than women induced higher dietary levels of CO2 emissions. Participants reporting higher consumption of vegetables, fruits, legumes, nuts, whole cereals, preferring white meat, and having less consumption of red meat were mostly emitting less kg of CO2 through diet. Participants with higher adherence to the Mediterranean Diet showed lower odds for dietary CO2 emissions: Q2 (OR 0.87; 95%CI: 0.76-1.00), Q3 (OR 0.69; 95%CI: 0.69-0.79) and Q4 (OR 0.48; 95%CI: 0.42-0.55) vs Q1 (reference). CONCLUSIONS The Mediterranean diet can be environmentally protective since the higher the adherence to the Mediterranean diet, the lower total dietary CO2 emissions. Mediterranean Diet index may be used as a pollution level index.
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Affiliation(s)
- Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - David Mateos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain
| | - Laura Álvarez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071, Leon, Spain
| | - María Rubín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071, Leon, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain
- Department of Medicine, University Autonomous of Barcelona, 08003, Barcelona, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 48013, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071, Málaga, Spain
| | - Jesús Vioque
- Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010, Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016, Las Palmas, Spain
| | - Blanca Riquelme-Gallego
- Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain
- Department of Preventive Medicine, University of Granada, 18071, Granada, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - José J Gaforio
- Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, 23071, Jaen, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), 28040, Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Clotilde Vázquez
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program.IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036, Barcelona, Spain
| | - Maira Bes-Rastrollo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - Stephanie Nishi
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Robert Cabanes
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 48013, Vitoria-Gasteiz, Spain
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Public Health and Psychiatry, School of Medicine, University of Malaga, and Biomedical Research Institute of Malaga (IBIMA), 29010, Málaga, Spain
| | - Antonio José Signes-Pastor
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550, Alicante, Spain
| | - Antoni Colom
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Jose C Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010, Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Zenaida Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain
| | - José V Sorlí
- Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - Maria Pascual
- Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain
| | - Maria Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Jessica Vaquero-Luna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 48013, Vitoria-Gasteiz, Spain
| | - F Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain
- Department of Endocrinology, Hospital Universitario de Navarra, Osasunbidea, 31008, Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain
| | - Ramon Ciurana
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain
| | - Vicente Martín-Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071, Leon, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain.
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50
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Pérez‐Vega KA, Castañer O, Sanllorente A, Lassale C, Ros E, Pintó X, Estruch R, Salas‐Salvadó J, Corella D, Alonso‐Gómez ÁM, Serra‐Majem L, Razquin C, Fiol M, Lapetra J, Gómez‐Gracia E, Tinahones FJ, Hernáez Á, Fitó M. Mediterranean Diet, Energy Restriction, Physical Activity, and Atherogenicity of Very-Low Density Lipoproteins: Findings from Two Randomized Controlled Trials. Mol Nutr Food Res 2023; 67:e2200338. [PMID: 36353918 PMCID: PMC10078255 DOI: 10.1002/mnfr.202200338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/14/2022] [Indexed: 11/11/2022]
Abstract
SCOPE Some very-low density lipoprotein (VLDL) properties may render them more pro-atherogenic. We aimed to assess whether a Mediterranean diet (MedDiet) or an energy-reduced MedDiet with increased physical activity improves them. METHODS AND RESULTS In a sample of the PREvención con DIeta MEDiterránea (PREDIMED) study, a 1-year intervention with MedDiet with extra-virgin olive oil (n = 89) or nuts (MedDiet-Nuts; n = 79) is compared with a low-fat diet (n = 90). In the PREDIMED-Plus study, a 1-year intervention with energy-reduced MedDiet and physical activity (n = 103) is compared with an ad libitum MedDiet (n = 101). VLDL levels of apolipoprotein C-I, C-III, triglycerides, and cholesterol; the apolipoprotein E-/C-I ratio; and VLDL ex-vivo triglyceride transfer are measured. In PREDIMED participants in both MedDiet groups combined, VLDL apolipoprotein C-III levels are nominally reduced (-0.023 SD units, 95% CI -0.44 to -0.014, p = 0.037). VLDL triglyceride transfer is nominally increased in the MedDiet-Nuts group (+0.39 SD units, 95% CI 0.012-0.78, p = 0.045). In PREDIMED-Plus, no inter-group differences are detected. CONCLUSIONS In older adults at high cardiovascular risk, MedDiet is associated with lower VLDL atherogenicity versus a low-fat diet. No differences are seen after an energy-reduced MedDiet with physical activity.
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