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Chen Z, Khandpur N, Desjardins C, Wang L, Monteiro CA, Rossato SL, Fung TT, Manson JE, Willett WC, Rimm EB, Hu FB, Sun Q, Drouin-Chartier JP. Ultra-Processed Food Consumption and Risk of Type 2 Diabetes: Three Large Prospective U.S. Cohort Studies. Diabetes Care 2023; 46:1335-1344. [PMID: 36854188 PMCID: PMC10300524 DOI: 10.2337/dc22-1993] [Citation(s) in RCA: 86] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/01/2023] [Indexed: 03/02/2023]
Abstract
OBJECTIVE We examined the relationship between ultra-processed food (UPF) intake and type 2 diabetes (T2D) risk among 3 large U.S. cohorts, conducted a meta-analysis of prospective cohort studies, and assessed meta-evidence quality. RESEARCH DESIGN AND METHODS We included 71,871 women from the Nurses' Health Study, 87,918 women from the Nurses' Health Study II, and 38,847 men from the Health Professional Follow-Up Study. Diet was assessed using food frequency questionnaires and UPF was categorized per the NOVA classification. Associations of total and subgroups of UPF with T2D were assessed using Cox proportional hazards models. We subsequently conducted a meta-analysis of prospective cohort studies on total UPF and T2D risk, and assessed meta-evidence quality using the NutriGrade scoring system. RESULTS Among the U.S. cohorts (5,187,678 person-years; n = 19,503 T2D cases), the hazard ratio for T2D comparing extreme quintiles of total UPF intake (percentage of grams per day) was 1.46 (95% CI 1.39-1.54). Among subgroups, refined breads; sauces, spreads, and condiments; artificially and sugar-sweetened beverages; animal-based products; and ready-to-eat mixed dishes were associated with higher T2D risk. Cereals; dark and whole-grain breads; packaged sweet and savory snacks; fruit-based products; and yogurt and dairy-based desserts were associated with lower T2D risk. In the meta-analysis (n = 415,554 participants; n = 21,932 T2D cases), each 10% increment in total UPF was associated with a 12% (95% CI 10%-13%) higher risk. Per NutriGrade, high-quality evidence supports this relationship. CONCLUSIONS High-quality meta-evidence shows that total UPF consumption is associated with higher T2D risk. However, some UPF subgroups were associated with lower risk in the U.S. cohorts.
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Affiliation(s)
- Zhangling Chen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Neha Khandpur
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Studies in Health and Nutrition, Faculty of Public Health, University of São Paulo, São Paulo, Brazil
| | - Clémence Desjardins
- Centre Nutrition, Santé et Société, Institut sur la Nutrition et les Aliments Fonctionnels, Université Laval, Québec, Canada
- Faculté de Pharmacie, Université Laval, Québec, Canada
| | - Lu Wang
- Friedman School of Nutrition Science and Policy, Boston, MA
| | - Carlos A. Monteiro
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Studies in Health and Nutrition, Faculty of Public Health, University of São Paulo, São Paulo, Brazil
| | - Sinara L. Rossato
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Institute of Geography, Universidade Federal de Uberlândia, Minas Gerais, Brazil
| | - Teresa T. Fung
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Simmons University, Boston, MA
| | - JoAnn E. Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Walter C. Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Eric B. Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Joslin Diabetes Center, Boston, MA
| | - Jean-Philippe Drouin-Chartier
- Centre Nutrition, Santé et Société, Institut sur la Nutrition et les Aliments Fonctionnels, Université Laval, Québec, Canada
- Faculté de Pharmacie, Université Laval, Québec, Canada
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102
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Katidi A, Xanthopoulou S, Vlassopoulos A, Noutsos S, Priftis K, Kapsokefalou M. Food Allergens in Ultra-Processed Foods According to the NOVA Classification System: A Greek Branded Food Level Analysis. Nutrients 2023; 15:2767. [PMID: 37375674 DOI: 10.3390/nu15122767] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/09/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Ultra-processed foods' (UPFs') consumption has been positively linked to the presence of allergic symptoms, but it is yet unknown whether this is linked to their nutritional composition or allergen load. This study used the ingredient lists available in the Greek Branded Food Composition Database, HelTH, to classify foods (n = 4587) into four grades of food processing (NOVA1-4) according to the NOVA System. Associations between NOVA grades and the presence of allergens (as an ingredient or trace) were studied. Overall, UPFs (NOVA4) were more likely to contain allergens than unprocessed foods, NOVA1 (76.1% vs. 58.0%). However, nested analyses among similar foods showed that in >90% of cases, processing degree was not linked to allergens' presence. Recipe/matrix complexity was more strongly linked to allergens' presence with NOVA4 foods declaring 1.3 allergenic ingredients vs. 0.4 allergenic ingredients in NOVA1 foods (p < 0.01). Exposure to trace allergens was more common for NOVA4 than NOVA1 foods (45.4% vs. 28.7%), but the extent of contamination was similar (2.3 vs. 2.8 trace allergens). Overall, UPFs are more complex mixtures with higher numbers of allergens per food and are more prone to cross-contamination. However, indicating a food's degree of processing is not sufficient to help identify allergen-free choices within the same subcategory.
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Affiliation(s)
- Alexandra Katidi
- Laboratory of Chemistry and Food Analysis, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
| | - Stefania Xanthopoulou
- Laboratory of Chemistry and Food Analysis, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
| | - Antonis Vlassopoulos
- Laboratory of Chemistry and Food Analysis, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
| | - Stamoulis Noutsos
- Laboratory of Chemistry and Food Analysis, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
| | - Kostas Priftis
- Allergology and Pulmonology Unit, 3rd Pediatric Department, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Maria Kapsokefalou
- Laboratory of Chemistry and Food Analysis, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
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103
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Milanović M, Milošević N, Milić N, Stojanoska MM, Petri E, Filipović JM. Food contaminants and potential risk of diabetes development: A narrative review. World J Diabetes 2023; 14:705-723. [PMID: 37383596 PMCID: PMC10294057 DOI: 10.4239/wjd.v14.i6.705] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/03/2023] [Accepted: 04/13/2023] [Indexed: 06/14/2023] Open
Abstract
The number of people diagnosed with diabetes continues to increase, especially among younger populations. Apart from genetic predisposition and lifestyle, there is increasing scientific and public concern that environmental agents may also contribute to diabetes. Food contamination by chemical substances that originate from packaging materials, or are the result of chemical reactions during food processing, is generally recognized as a worldwide problem with potential health hazards. Phthalates, bisphenol A (BPA) and acrylamide (AA) have been the focus of attention in recent years, due to the numerous adverse health effects associated with their exposure. This paper summarizes the available data about the association between phthalates, BPA and AA exposure and diabetes. Although their mechanism of action has not been fully clarified, in vitro, in vivo and epidemiological studies have made significant progress toward identifying the potential roles of phthalates, BPA and AA in diabetes development and progression. These chemicals interfere with multiple signaling pathways involved in glucose and lipid homeostasis and can aggravate the symptoms of diabetes. Especially concerning are the effects of exposure during early stages and the gestational period. Well-designed prospective studies are needed in order to better establish prevention strategies against the harmful effects of these food contaminants.
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Affiliation(s)
- Maja Milanović
- Department of Pharmacy, Faculty of Medicine, University of Novi Sad, Novi Sad 21000, Serbia
| | - Nataša Milošević
- Department of Pharmacy, Faculty of Medicine, University of Novi Sad, Novi Sad 21000, Serbia
| | - Nataša Milić
- Department of Pharmacy, Faculty of Medicine, University of Novi Sad, Novi Sad 21000, Serbia
| | - Milica Medić Stojanoska
- Faculty of Medicine, Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Vojvodina, University of Novi Sad, Novi Sad 21000, Serbia
| | - Edward Petri
- Department of Biology and Ecology, Faculty of Sciences, University of Novi Sad, Novi Sad 21000, Serbia
| | - Jelena Marković Filipović
- Department of Biology and Ecology, Faculty of Sciences, University of Novi Sad, Novi Sad 21000, Serbia
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104
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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] [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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105
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Meyer A, Dong C, Casagrande C, Chan SSM, Huybrechts I, Nicolas G, Rauber F, Levy RB, Millett C, Oldenburg B, Weiderpass E, Heath AK, Tong TYN, Tjønneland A, Kyrø C, Kaaks R, Katzke VA, Bergman MM, Palli D, Masala G, Tumino R, Sacerdote C, Colorado-Yohar SM, Sánchez MJ, Grip O, Lindgren S, Luben R, Gunter MJ, Mahamat-Saleh Y, Boutron-Ruault MC, Carbonnel F. Food Processing and Risk of Crohn's Disease and Ulcerative Colitis: A European Prospective Cohort Study. Clin Gastroenterol Hepatol 2023; 21:1607-1616.e6. [PMID: 36243353 DOI: 10.1016/j.cgh.2022.09.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/10/2022] [Accepted: 09/29/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Industrial foods have been associated with increased risks of several chronic conditions. We investigated the relationship between the degree of food processing and risks of Crohn's disease (CD) and ulcerative colitis (UC) in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS Analyses included 413,590 participants (68.6% women; mean baseline age, 51.7 y) from 8 European countries. Dietary data were collected at baseline from validated country-specific dietary questionnaires. Associations between proportions of unprocessed/minimally processed and ultraprocessed food intake and CD and UC risks were estimated using Cox models to obtain hazard ratios (HRs) and 95% CIs. Models were stratified by center, age, and sex, and adjusted for smoking status, body mass index, physical activity, energy intake, educational level, and alcohol consumption. RESULTS During a mean follow-up period of 13.2 years, 179 incident cases of CD and 431 incident cases of UC were identified. The risk of CD was lower in people consuming high proportions of unprocessed/minimally processed foods (adjusted HR for the highest vs lowest quartile: 0.57; 95% CI, 0.35-0.93; P trend < .01), particularly fruits and vegetables (adjusted HRs, 0.54; 95% CI, 0.34-0.87 and 0.55; 95% CI, 0.34-0.91, respectively). There was no association between unprocessed/minimally processed food intake and the risk of UC. No association was detected between ultraprocessed food consumption and CD or UC risks. CONCLUSIONS In the European Prospective Investigation into Cancer and Nutrition cohort, consumption of unprocessed/minimally processed foods was associated with a lower risk of CD. No association between UC risk and food processing was found.
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Affiliation(s)
- Antoine Meyer
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Catherine Dong
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Simon S M Chan
- Norwich Medical School, Department of Medicine, University of East Anglia, Norwich, United Kingdom; Department of Gastroenterology, Norfolk and Norwich University Hospital National Health Service Trust, Norwich, United Kingdom
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Fernanda Rauber
- Department of Preventive Medicine, Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom; National School of Public Health, Public Health Research Centre, NOVA University of Lisbon and Comprehensive Health Research Center, Lisbon, Portugal
| | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Verena A Katzke
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-Istituto per lo Studio e la Prevenzione Oncologia, Florence, Italy
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-Istituto per lo Studio e la Prevenzione Oncologia, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University Hospital, Turin, Italy
| | - Sandra M Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria-Arrixaca, Murcia, Spain; Consorcio de Investigación Biomédica en Red Epidemiologia and Salud Pública, Madrid, Spain; National School of Public Health, Research Group on Demography and Health, University of Antioquia, Medellín, Colombia
| | - Maria-Jose Sánchez
- Consorcio de Investigación Biomédica en Red Epidemiologia and Salud Pública, Madrid, Spain; Escuela Andaluza de Salud Pública, Granada, Spain; Instituto de Investigación Biosanitaria, Granada, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Olof Grip
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Stefan Lindgren
- Department of Gastroenterology and Hepatology, University Hospital Malmö, Malmö, Sweden
| | - Robert Luben
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Yahya Mahamat-Saleh
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Franck Carbonnel
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France; Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France.
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106
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Cordero DA. Online food delivery systems: barriers to achieving public health nutrition in the Philippines. Public Health Nutr 2023; 26:1194-1195. [PMID: 37078519 PMCID: PMC10346006 DOI: 10.1017/s1368980023000782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 02/28/2023] [Accepted: 03/13/2023] [Indexed: 04/21/2023]
Affiliation(s)
- Dalmacito Austria Cordero
- Department of Theology and Religious Education (DTRE), De La Salle University, 1004 Taft Avenue, Manila, Philippines
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107
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Mambrini SP, Menichetti F, Ravella S, Pellizzari M, De Amicis R, Foppiani A, Battezzati A, Bertoli S, Leone A. Ultra-Processed Food Consumption and Incidence of Obesity and Cardiometabolic Risk Factors in Adults: A Systematic Review of Prospective Studies. Nutrients 2023; 15:nu15112583. [PMID: 37299546 DOI: 10.3390/nu15112583] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/26/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
Ultra-processed foods (UPF) are energy-dense, nutritionally unbalanced products, low in fiber but high in saturated fat, salt, and sugar. Recently, UPF consumption has increased likewise the incidence of obesity and cardiometabolic diseases. To highlight a possible relationship, we conducted a systematic review of prospective studies from PubMed and Web of Science investigating the association between UPF consumption and the incidence of obesity and cardiometabolic risk factors. Seventeen studies were selected. Eight evaluated the incidence of general and abdominal obesity, one the incidence of impaired fasting blood glucose, four the incidence of diabetes, two the incidence of dyslipidemia, and only one the incidence of metabolic syndrome. Studies' quality was assessed according to the Critical Appraisal Checklist for cohort studies proposed by the Joanna Briggs Institute. Substantial agreement emerged among the studies in defining UPF consumption as being associated with the incident risk of general and abdominal obesity. More limited was the evidence on cardiometabolic risk. Nevertheless, most studies reported that UPF consumption as being associated with an increased risk of hypertension, diabetes, and dyslipidemia. In conclusion, evidence supports the existence of a relationship between UPF consumption and the incidence of obesity and cardiometabolic risk. However, further longitudinal studies considering diet quality and changes over time are needed.
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Affiliation(s)
- Sara Paola Mambrini
- IRCCS Auxologico, Laboratory of Metabolic Research, San Giuseppe Hospital, 28824 Piancavallo, Italy
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Francesca Menichetti
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Simone Ravella
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Marta Pellizzari
- IRCCS Auxologico, Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Ramona De Amicis
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Auxologico, Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Andrea Foppiani
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Alberto Battezzati
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Auxologico, Clinical Nutrition Unit, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Simona Bertoli
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Auxologico, Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Alessandro Leone
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
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108
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Lacombe J, Guo K, Bonneau J, Faubert D, Gioanni F, Vivoli A, Muir SM, Hezzaz S, Poitout V, Ferron M. Vitamin K-dependent carboxylation regulates Ca 2+ flux and adaptation to metabolic stress in β cells. Cell Rep 2023; 42:112500. [PMID: 37171959 DOI: 10.1016/j.celrep.2023.112500] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 02/24/2023] [Accepted: 04/26/2023] [Indexed: 05/14/2023] Open
Abstract
Vitamin K is a micronutrient necessary for γ-carboxylation of glutamic acids. This post-translational modification occurs in the endoplasmic reticulum (ER) and affects secreted proteins. Recent clinical studies implicate vitamin K in the pathophysiology of diabetes, but the underlying molecular mechanism remains unknown. Here, we show that mouse β cells lacking γ-carboxylation fail to adapt their insulin secretion in the context of age-related insulin resistance or diet-induced β cell stress. In human islets, γ-carboxylase expression positively correlates with improved insulin secretion in response to glucose. We identify endoplasmic reticulum Gla protein (ERGP) as a γ-carboxylated ER-resident Ca2+-binding protein expressed in β cells. Mechanistically, γ-carboxylation of ERGP protects cells against Ca2+ overfilling by diminishing STIM1 and Orai1 interaction and restraining store-operated Ca2+ entry. These results reveal a critical role of vitamin K-dependent carboxylation in regulation of Ca2+ flux in β cells and in their capacity to adapt to metabolic stress.
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Affiliation(s)
- Julie Lacombe
- Molecular Physiology Research Unit, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada.
| | - Kevin Guo
- Molecular Physiology Research Unit, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada; Division of Experimental Medicine, McGill University, Montréal, QC H4A 3J1, Canada
| | - Jessica Bonneau
- Molecular Physiology Research Unit, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada; Programme de Biologie Moléculaire, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Denis Faubert
- Mass Spectrometry and Proteomics Platform, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada
| | - Florian Gioanni
- Molecular Physiology Research Unit, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada
| | - Alexis Vivoli
- Montreal Diabetes Research Center, Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada
| | - Sarah M Muir
- Molecular Physiology Research Unit, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada
| | - Soraya Hezzaz
- Molecular Physiology Research Unit, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada
| | - Vincent Poitout
- Montreal Diabetes Research Center, Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada; Département de Médecine, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Mathieu Ferron
- Molecular Physiology Research Unit, Institut de Recherches Cliniques de Montréal, Montréal, QC H2W 1R7, Canada; Division of Experimental Medicine, McGill University, Montréal, QC H4A 3J1, Canada; Programme de Biologie Moléculaire, Université de Montréal, Montréal, QC H3T 1J4, Canada; Département de Médecine, Université de Montréal, Montréal, QC H3T 1J4, Canada.
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109
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Lane MM, Lotfalian M, Hodge A, O'Neil A, Travica N, Jacka FN, Rocks T, Machado P, Forbes M, Ashtree DN, Marx W. High ultra-processed food consumption is associated with elevated psychological distress as an indicator of depression in adults from the Melbourne Collaborative Cohort Study. J Affect Disord 2023; 335:57-66. [PMID: 37149054 DOI: 10.1016/j.jad.2023.04.124] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 04/14/2023] [Accepted: 04/29/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Few studies have tested longitudinal associations between ultra-processed food consumption and depressive outcomes. As such, further investigation and replication are necessary. The aim of this study is to examine associations of ultra-processed food intake with elevated psychological distress as a marker for depression after 15 years. METHOD Data from the Melbourne Collaborative Cohort Study (MCCS) were analysed (n = 23,299). We applied the NOVA food classification system to a food frequency questionnaire (FFQ) to determine ultra-processed food intake at baseline. We categorised energy-adjusted ultra-processed food consumption into quartiles by using the distribution of the dataset. Psychological distress was measured by the ten-item Kessler Psychological Distress Scale (K10). We fitted unadjusted and adjusted logistic regression models to assess the association of ultra-processed food consumption (exposure) with significant psychological distress (outcome and defined as K10 ≥ 20). We fitted additional logistic regression models to determine whether these associations were modified by sex, age and body mass index. RESULTS After adjusting for sociodemographic characteristics and lifestyle and health-related behaviours, participants with the highest relative intake of ultra-processed food were at increased odds of significant psychological distress compared to participants with the lowest intake (aOR: 1.23; 95%CI: 1.10, 1.38, p for trend = 0.001). We found no evidence for an interaction of sex, age and body mass index with ultra-processed food intake. CONCLUSION Higher ultra-processed food intake at baseline was associated with subsequent elevated psychological distress as an indicator of depression at follow-up. Further prospective and intervention studies are necessary to identify possible underlying pathways, specify the precise attributes of ultra-processed food that confer harm, and optimise nutrition-related and public health strategies for common mental disorders.
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Affiliation(s)
- Melissa M Lane
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia.
| | - Mojtaba Lotfalian
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia
| | - Allison Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Rd, Melbourne, VIC 3004, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Adrienne O'Neil
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia
| | - Nikolaj Travica
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia
| | - Felice N Jacka
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia; Centre for Adolescent Health, Murdoch Children's Research Institute, VIC, Australia; Black Dog Institute, NSW, Australia; James Cook University, QLD, Australia
| | - Tetyana Rocks
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia
| | - Priscila Machado
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia; Center for Epidemiological Research in Nutrition and Health, University of Sao Paulo, Av. Dr. Arnaldo, 715, Sao Paulo 01246-904, Brazil
| | - Malcolm Forbes
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia; Mental Health, Drugs & Alcohol Service, University Hospital Geelong, Barwon Health, VIC 3220, Australia; Department of Psychiatry, University of Melbourne, Parkville, VIC 3050, Australia
| | - Deborah N Ashtree
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia
| | - Wolfgang Marx
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Geelong, Australia
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Pascual V, Díaz JL, Millán Nuñez-Cortés J, Pérez-Martínez P. Nutritional recommendations in the prevention and treatment of atherogenic dyslipidemia. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS : PUBLICACION OFICIAL DE LA SOCIEDAD ESPANOLA DE ARTERIOSCLEROSIS 2023; 35:155-163. [PMID: 36400610 DOI: 10.1016/j.arteri.2022.09.002] [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: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/17/2022]
Abstract
The incorporation of a healthy diet, regular physical exercise and smoking cessation are the initial measures to reduce cardiovascular risk in patients with atherogenic dyslipidemia. In these patients, the nutritional quality of their diet should be improved, replacing foods with a greater atherogenic effect for others with a healthier effect. There is strong evidence that plant-based dietary patterns, low in saturated fatty acids, cholesterol and sodium, with a high content of fiber, potassium and unsaturated fatty acids, are beneficial and reduce the expression of cardiovascular risk factors. This document focuses on the role of nutrition in the prevention and treatment of atherogenic dyslipidemia, providing current evidence to serve as a tool for health professionals in its clinical management. To facilitate the reading of these recommendations, they are presented in a user-friendly table format, with a hierarchy of different levels of evidence.
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Affiliation(s)
- Vicente Pascual
- Centro de Salud Palleter, Universidad CEU-Cardenal Herrera, Castellón, España; Grupo de Trabajo Dislipemia Aterogénica, Sociedad Española de Arteriosclerosis (SEA), España; Grupo de Trabajo Nutrición y Estilo de Vida, Sociedad Española de Arteriosclerosis (SEA), España
| | - José Luis Díaz
- Grupo de Trabajo Dislipemia Aterogénica, Sociedad Española de Arteriosclerosis (SEA), España; Unidad de Lípidos y Riesgo Cardiovascular, Medicina Interna, Hospital Universitario A Coruña, A Coruña, España
| | - Jesús Millán Nuñez-Cortés
- Grupo de Trabajo Dislipemia Aterogénica, Sociedad Española de Arteriosclerosis (SEA), España; Hospital General Universitario Gregorio Marañón, Universidad Complutense, Madrid, España
| | - Pablo Pérez-Martínez
- Grupo de Trabajo Dislipemia Aterogénica, Sociedad Española de Arteriosclerosis (SEA), España; Grupo de Trabajo Nutrición y Estilo de Vida, Sociedad Española de Arteriosclerosis (SEA), España; Unidad de Lípidos y Arterioesclerosis, Universidad de Córdoba/Hospital Universitario Reina Sofía/Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, España; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, España.
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111
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Lee S, Choi M. Ultra-Processed Food Intakes Are Associated with Depression in the General Population: The Korea National Health and Nutrition Examination Survey. Nutrients 2023; 15:2169. [PMID: 37432323 DOI: 10.3390/nu15092169] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/23/2023] [Accepted: 04/28/2023] [Indexed: 07/12/2023] Open
Abstract
Depression is the most common mental illnesses worldwide. The consumption of ultra-processed food (UPF) has increased globally due to its affordability and convenience; however, only a few studies have investigated the link between UPF intake and depression in the general population. We investigated the associations between UPF and depression using the Korea National Health and Nutrition Examination Survey. A total of 9463 individuals (4200 males and 5263 females) aged above 19 years old participated in this study. The prevalence of depression was identified using the Patient Health Questionnaire-9. Dietary intake was assessed through a 24-h recall interview. The percentage of energy from UPFs was ascertained based on the NOVA classification. The associations between the quartile ranges of UPF intake and depression were estimated using logistic regression models. Individuals in the highest quartile had a 1.40 times higher likelihood of having depression, with marginal significance (95% confidence intervals (CIs) = 1.00-1.96). In a sex-specific stratification, only females demonstrated a significant association (odds ratio (OR) = 1.51, 95% CI 1.04-2.21), even after adjusting for confounders (p-value for trend = 0.023). Our findings revealed a significant association between higher UPF intake and depression among females but not among males in the Korean general population.
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Affiliation(s)
- Sunghee Lee
- Department of Food and Nutrition, College of Health Science, Kangwon National University, Samcheok 25949, Republic of Korea
| | - Myungjin Choi
- Department of Food and Nutrition, College of Health Science, Kangwon National University, Samcheok 25949, Republic of Korea
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112
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Barrea L, Vetrani C, Verde L, Frias-Toral E, Ceriani F, Cernea S, Docimo A, Graziadio C, Tripathy D, Savastano S, Colao A, Muscogiuri G. Comprehensive Approach to Medical Nutrition Therapy in Patients with Type 2 Diabetes Mellitus: From Diet to Bioactive Compounds. Antioxidants (Basel) 2023; 12:904. [PMID: 37107279 PMCID: PMC10135374 DOI: 10.3390/antiox12040904] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 04/29/2023] Open
Abstract
In the pathogenesis of type 2 diabetes mellitus (T2DM), diet plays a key role. Individualized medical nutritional therapy, as part of lifestyle optimization, is one of the cornerstones for the management of T2DM and has been shown to improve metabolic outcomes. This paper discusses major aspects of the nutritional intervention (including macro- and micronutrients, nutraceuticals, and supplements), with key practical advice. Various eating patterns, such as the Mediterranean-style, low-carbohydrate, vegetarian or plant-based diets, as well as healthy eating plans with caloric deficits have been proven to have beneficial effects for patients with T2DM. So far, the evidence does not support a specific macronutrient distribution and meal plans should be individualized. Reducing the overall carbohydrate intake and replacing high glycemic index (GI) foods with low GI foods have been shown as valid options for patients with T2DM to improve glycemic control. Additionally, evidence supports the current recommendation to reduce the intake of free sugars to less than 10% of total energy intake, since their excessive intake promotes weight gain. The quality of fats seems to be rather important and the substitution of saturated and trans fatty acids with foods rich in monounsaturated and polyunsaturated fats lowers cardiovascular risk and improves glucose metabolism. There is no benefit of supplementation with antioxidants, such as carotene, vitamins E and C, or other micronutrients, due to the lack of consistent evidence showing efficacy and long-term safety. Some studies suggest possible beneficial metabolic effects of nutraceuticals in patients with T2DM, but more evidence about their efficacy and safety is still needed.
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Affiliation(s)
- Luigi Barrea
- Dipartimento di Scienze Umanistiche, Università Telematica Pegaso, Via Porzio, Centro Isola F2, 80143 Napoli, Italy
- Centro Italiano per la Cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Claudia Vetrani
- Dipartimento di Scienze Umanistiche, Università Telematica Pegaso, Via Porzio, Centro Isola F2, 80143 Napoli, Italy
- Centro Italiano per la Cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Ludovica Verde
- Department of Public Health, University of Naples Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Evelyn Frias-Toral
- School of Medicine, Universidad Católica Santiago de Guayaquil, Av. Pdte. Carlos Julio Arosemena Tola, Guayaquil 090615, Ecuador
| | - Florencia Ceriani
- Nutrition School, Universidad de la Republica (UdelaR), Montevideo 11100, Uruguay
| | - Simona Cernea
- Department M3/Internal Medicine I, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mures, 540146 Târgu Mureş, Romania
- Diabetes, Nutrition and Metabolic Diseases Outpatient Unit, Emergency County Clinical Hospital, 540146 Târgu Mureş, Romania
| | - Annamaria Docimo
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Chiara Graziadio
- Centro Italiano per la Cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Devjit Tripathy
- Division of Diabetes UT Health and ALM VA Hospital, San Antonio, TX 78229, USA
| | - Silvia Savastano
- Centro Italiano per la Cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Annamaria Colao
- Centro Italiano per la Cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Cattedra Unesco “Educazione Alla Salute e Allo Sviluppo Sostenibile”, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
| | - Giovanna Muscogiuri
- Centro Italiano per la Cura e il Benessere del Paziente con Obesità (C.I.B.O), Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
- Cattedra Unesco “Educazione Alla Salute e Allo Sviluppo Sostenibile”, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131 Naples, Italy
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113
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Katidi A, Vlassopoulos A, Noutsos S, Kapsokefalou M. Ultra-Processed Foods in the Mediterranean Diet according to the NOVA Classification System; A Food Level Analysis of Branded Foods in Greece. Foods 2023; 12:1520. [PMID: 37048341 PMCID: PMC10093885 DOI: 10.3390/foods12071520] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/28/2023] [Accepted: 03/31/2023] [Indexed: 04/14/2023] Open
Abstract
While the Mediterranean diet (MD) is championed as a healthy and sustainable dietary pattern, the NOVA classification is discussed as a tool to identify ultra-processed foods and further specify healthy food choices. We tested whether the NOVA System aligns with the MD recommendations as presented in the MD pyramids. Foods from the Greek branded food composition database, HelTH, (n = 4581) were scored according to NOVA and assigned to the tiers of the traditional and/or sustainable MD pyramids. Nutritional quality was measured as nutrient content and Nutri-Score grades. NOVA identified 70.2% of all foods as UPFs, and 58.7% or 41.0% of foods included in the sustainable and the traditional MD, respectively. Although foods at the top of the pyramids were mostly (>80%) UPFs, NOVA identified > 50% of foods in the MD base as UPFs. Only 22-39% of foods in the MD base were not UPFs and of high nutritional quality (Nutri-Score A-B). NOVA has low discriminatory capacity across the MD tiers, and it restricts food choices to <30% of foods currently available in supermarkets and <60% within the recommended MD tiers. Therefore, the NOVA classification cannot always identify suitable food choices under the MD pyramid in the modern packaged food environment.
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Affiliation(s)
| | | | | | - Maria Kapsokefalou
- Laboratory of Chemistry and Food Analysis, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
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114
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Viana Dias JP, Pimenta AM, de Souza Costa Sobrinho P, Miranda Hermsdorff HH, Bressan J, Nobre LN. Consumption of sweetened beverages is associated with the incidence of type 2 diabetes in Brazilian adults (CUME project). Nutr Metab Cardiovasc Dis 2023; 33:789-796. [PMID: 36849319 DOI: 10.1016/j.numecd.2023.01.022] [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: 03/17/2022] [Revised: 11/18/2022] [Accepted: 01/24/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND AIM To evaluate the association between the energy consumption of sweetened beverages (SBs) adjusted for daily energy intake and the incidence of type 2 diabetes. METHODS AND RESULTS This was a prospective study with 2480 type 2 diabetes mellitus (T2DM)-free Cohort of Universities of Minas Gerais (CUME) participants at baseline and 2-4 years of follow-up. A longitudinal analysis was performed with generalized equation estimation to verify the effect of SB consumption, adjusted for sociodemographic and lifestyle variables, on the incidence of T2DM. The incidence of T2DM was 2.78%. The median calorie intake of daily SB consumption adjusted for energy was 47.7 kcal/day. Participants with the highest consumption of SBs (≥47.7 kcal/day) were 63% (odds ratio [OR] = 1.63; p value-0.049) more likely to acquire T2DM over time compared to the lowest consumption (<47.7 kcal/day). CONCLUSIONS Higher energy consumption from SBs favored a higher incidence of T2DM among CUME participants. The results reinforce the need for marketing restrictions on these foods and taxation to reduce the consumption of these beverages to prevent T2DM and other chronic noncommunicable diseases.
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Affiliation(s)
- João Pedro Viana Dias
- Universidade Federal Dos Vales Do Jequitinhonha e Mucur, Postgraduate Program in Sciences of Nutritioni, Diamantina, Brazil.
| | | | | | | | - Josefina Bressan
- Department of Nutrition and Health, Universidade Federal de Viçosa, Minas Gerais, Brazil.
| | - Luciana Neri Nobre
- Universidade Federal Dos Vales Do Jequitinhonha e Mucuri. Program in Sciences of Nutrition, Diamantina, Brazil.
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115
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Harlan TS, Gow RV, Kornstädt A, Alderson PW, Lustig RH. The Metabolic Matrix: Re-engineering ultraprocessed foods to feed the gut, protect the liver, and support the brain. Front Nutr 2023; 10:1098453. [PMID: 37063330 PMCID: PMC10097968 DOI: 10.3389/fnut.2023.1098453] [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: 11/14/2022] [Accepted: 03/03/2023] [Indexed: 04/03/2023] Open
Abstract
Ultraprocessed food is established as a metabolic disruptor acting to increase adiposity, reduce mitochondrial efficiency, drive insulin resistance, alter growth, and contribute to human morbidity and mortality. Consumer packaged goods (CPG) companies are beginning to understand the detrimental impact of the food they market, and have employed substitution strategies to reduce salt, sugar, and fat. However, the harms of ultraprocessed foods are far more complex than any single component, and are not ameliorated by such simple substitutions. Over the past 2 years, the authors have worked with the Kuwaiti Danish Dairy Company (KDD) to conduct a comprehensive scientific evaluation of their entire commercial food and beverage portfolio. Assay of the macronutrients, micronutrients, additives, and toxins contained in each of their products was undertaken to determine the precise nature of each product's ingredients as well as the health impacts of processing. The authors formed a Scientific Advisory Team (SAT) and developed a tiered "Metabolic Matrix" founded in three science-based principles: (1) protect the liver, (2) feed the gut, and (3) support the brain. The Metabolic Matrix categorizes each product and provides the criteria, metrics, and recommendations for improvement or reformulation. Real-time consultation with the KDD Executive and Operations teams was vital to see these procedures through to fruition. This scientific exercise has enabled KDD to lay the groundwork for improving the health, well-being, and sustainability of their entire product line, while maintaining flavor, economic, and fiscal viability. This process is easily transferrable, and we are sharing this effort and its approaches as a proof-of-concept. The key aim of our work is to not only make ultraprocessed food healthier but to urge other food companies to implement similar analysis and reformulation of their product lines to improve the metabolic health and well-being of consumers worldwide.
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Affiliation(s)
- Timothy S. Harlan
- Division of General Internal Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, United States
| | - Rachel V. Gow
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, United Kingdom
| | | | - P. Wolfram Alderson
- Human & Environmental Health Department, Kuwaiti Danish Dairy Company, Kuwait City, Kuwait
| | - Robert H. Lustig
- Department of Pediatrics and Institute for Health Policy Studies, University of California, San Francisco, San Francisco, CA, United States
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116
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Challenges around Child-Feeding Practices with ‘Comida Chatarra’: A Qualitative Study to Understand the Role of Sociocultural Factors in Caregiver Feeding Decisions. Nutrients 2023; 15:nu15061317. [PMID: 36986041 PMCID: PMC10054330 DOI: 10.3390/nu15061317] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 03/11/2023] Open
Abstract
A massive incorporation of ultra-processed products into young children’s diets worldwide and in Mexico has been documented. The aim of this study is to understand the role of sociocultural factors in principal caregivers’ decisions to give a type of ultra-processed food to children under age five, called ‘comida chatarra’ (‘junk food’ in English), usually includes sugar-sweetened beverages, sweet and salty snacks, and sweet breakfast cereals. We conducted a descriptive, observational qualitative study. The research was conducted in urban and rural communities in two Mexican states. Twenty-four principal caregivers were equally distributed between the two states and types of communities. They were interviewed in person. Phenomenology underpinned this study. Results highlight the preponderant role of culture in food choices and feeding practices with junk food. Local culture influences child-feeding with ultra-processed products through social norms, knowledge, or socially constructed attitudes. These social norms, built in the context of abundant ultra-processed products and omnipresent marketing, ‘justify’ children’s consumption of junk food. They acquire these products from the principal caregivers, family members, and neighbors, among others, who reward and pamper them. These actors also define what amount (small amounts) and when (after meals as snacks) children are given these products. Cultural factors must be considered in the development of effective public policies and programs that aim to change the culture around ultra-processed products among children and avoid their consumption.
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117
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Adherence to Oral Antidiabetic Drugs in Patients with Type 2 Diabetes: Systematic Review and Meta-Analysis. J Clin Med 2023; 12:jcm12051981. [PMID: 36902770 PMCID: PMC10004070 DOI: 10.3390/jcm12051981] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Poor adherence to oral antidiabetic drugs (OADs) in patients with type 2 diabetes (T2D) can lead to therapy failure and risk of complications. The aim of this study was to produce an adherence proportion to OADs and estimate the association between good adherence and good glycemic control in patients with T2D. We searched in MEDLINE, Scopus, and CENTRAL databases to find observational studies on therapeutic adherence in OAD users. We calculated the proportion of adherent patients to the total number of participants for each study and pooled study-specific adherence proportions using random effect models with Freeman-Tukey transformation. We also calculated the odds ratio (OR) of having good glycemic control and good adherence and pooled study-specific OR with the generic inverse variance method. A total of 156 studies (10,041,928 patients) were included in the systematic review and meta-analysis. The pooled proportion of adherent patients was 54% (95% confidence interval, CI: 51-58%). We observed a significant association between good glycemic control and good adherence (OR: 1.33; 95% CI: 1.17-1.51). This study demonstrated that adherence to OADs in patients with T2D is sub-optimal. Improving therapeutic adherence through health-promoting programs and prescription of personalized therapies could be an effective strategy to reduce the risk of complications.
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118
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Zhong GC, Zhu Q, Cai D, Hu JJ, Dai X, Gong JP, Sun WP. Ultra-processed food consumption and the risk of pancreatic cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Int J Cancer 2023; 152:835-844. [PMID: 36094042 DOI: 10.1002/ijc.34290] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/21/2022] [Accepted: 09/02/2022] [Indexed: 01/06/2023]
Abstract
Whether ultra-processed food consumption is associated with the risk of pancreatic cancer has not been determined. We performed a prospective study to fill this gap. A population-based cohort of 98 265 American adults was identified from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Ultra-processed foods were defined by the NOVA classification. Cox regression was used to estimate hazard ratios (HRs) for pancreatic cancer incidence. Subgroup analysis was performed to identify the potential effect modifiers. During a mean follow-up of 8.86 years, 387 pancreatic cancer cases occurred. High consumption of ultra-processed foods was found to be associated with an increased risk of pancreatic cancer (fully adjusted HRquartile 4 vs 1 :1.49; 95% confidence interval [CI]: 1.07-2.07; Ptrend = .021) in a linear dose-response manner (Pnonlinearity = .075). Subgroup analysis further found that the positive association of ultra-processed food consumption with the risk of pancreatic cancer was more pronounced in subjects aged <65 years (HRquartile 4 vs 1 :2.17; 95% CI: 1.14-4.15) than in those aged ≥65 years (HRquartile 4 vs 1 :1.32; 95% CI: 0.88-1.94), though the interaction test failed to achieve the statistical significance (Pinteraction = .061). These findings suggest that reducing ultra-processed food consumption may be beneficial in decreasing pancreatic cancer incidence.
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Affiliation(s)
- Guo-Chao Zhong
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qian Zhu
- Department of Nutrition and Food Hygiene, School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Dong Cai
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie-Jun Hu
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin Dai
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jian-Ping Gong
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei-Ping Sun
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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119
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Jafari F, Yarmand S, Nouri M, Nejad ET, Ramezani A, Sohrabi Z, Rashidkhani B. Ultra-Processed Food Intake and Risk of Colorectal Cancer: A Matched Case-Control Study. Nutr Cancer 2023; 75:532-541. [PMID: 36190723 DOI: 10.1080/01635581.2022.2125990] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2022]
Abstract
Colorectal cancer (CRC) is the third most prevalent and the second fatal cancer in the world. Ultra-processed foods (UPFs) are suggested to be related to various non-communicable diseases including cancers. However, studies on the relationship between UPFs and CRC are scarce. The aim of this study was to determine the association between consumption of UPFs and CRC. In a case-control study conducted in four hospitals in Tehran, Iran, consumption of UPFs in 71 CRC patients and 142 controls (patients with non-neoplastic diseases) were compared. Using 125-item semi-quantitative food frequency questionnaire, dietary intakes were assessed. We used Multivariate logistic regression to estimate the association between UPFs intake and risk of CRC. Intake of nondairy beverages (P = 0.009), processed meat and fast food (P = 0.04) was significantly higher in those in the highest tertile of UPFs intake compared to the lowest tertile. In addition, intake of UPFs was associated with higher risk of CRC. The association remained constant after adjustment for BMI, income, smoking, type of job, educational level, and physical activity (OR, 3.32; 95% CI, 1.44-7.61; P = 0.003). Results of this study indicate that the intake of UPFs is associated with increased odds of CRC.
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Affiliation(s)
- Fatemeh Jafari
- Department of Nutritional Sciences, Texas Tech University, Lubbock, Texas, USA.,Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sazin Yarmand
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mehran Nouri
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.,Students' Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Elham Tavassoli Nejad
- Department of Clinical Nutrition, School of Nutrition and Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Atena Ramezani
- Diabetes Research Center, Mazandarazn University of Medical Sciences, Sari, Iran
| | - Zahra Sohrabi
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.,Nutrition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Bahram Rashidkhani
- Department of Community Nutrition, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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120
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Hang D, Wang L, Fang Z, Du M, Wang K, He X, Khandpur N, Rossato SL, Wu K, Hu Z, Shen H, Ogino S, Chan AT, Giovannucci EL, Zhang FF, Song M. Ultra-processed food consumption and risk of colorectal cancer precursors: results from 3 prospective cohorts. J Natl Cancer Inst 2023; 115:155-164. [PMID: 36477589 PMCID: PMC9905956 DOI: 10.1093/jnci/djac221] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/28/2022] [Accepted: 10/26/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Growing evidence indicates the adverse effect of ultra-processed food (UPF) consumption. However, it remains unknown whether UPF consumption influences the risk of colorectal cancer (CRC) precursors, namely conventional adenomas and serrated lesions. METHODS We drew data from the Nurses' Health Study, Nurses' Health Study II, and Health Professionals Follow-up Study, comprising 142 052 participants who had undergone at least 1 lower gastrointestinal endoscopy during follow-up. To handle multiple records per participants, we used multivariable logistic regression for clustered data to calculate odds ratios (OR) and 95% confidence intervals (CIs) of colorectal polyps in relation to cumulative average consumption of UPFs. All statistical tests were 2-sided. RESULTS We documented 11 644 patients with conventional adenomas and 10 478 with serrated lesions during 18-20 years of follow-up. Compared with participants in the lowest quintile of UPF consumption, those in the highest quintile had an increased risk of conventional adenomas (OR = 1.18, 95% CI = 1.11 to 1.26) and serrated lesions (OR = 1.20, 95% CI = 1.13 to 1.28). Similar results were found for high-risk polyps (ie, advanced adenomas and ≥10 mm serrated lesions; OR = 1.17, 95% CI = 1.07 to 1.28). These associations were slightly attenuated but remained statistically significant after further adjusting for body mass index, Western dietary pattern score, or individual dietary factors (fiber, folate, calcium, and vitamin D). The results remained essentially unchanged after excluding processed meat from total UPF intake. CONCLUSIONS Higher consumption of UPFs is associated with an increased risk of CRC precursors. UPFs might be a modifiable target for early prevention of CRC.
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Affiliation(s)
- Dong Hang
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Gusu School, Nanjing Medical University, Nanjing, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Wang
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Zhe Fang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mengxi Du
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xiaosheng He
- Department of Colorectal Surgery, the Six Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Neha Khandpur
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Studies in Health and Nutrition (NUPENS), Faculty of Public Health, University of São Paulo, Brazil
| | - Sinara L Rossato
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Institute of Geography, Universidade Federal de Uberlândia, Minas Gerais, Brazil
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Zhibin Hu
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Shuji Ogino
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Fang Fang Zhang
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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121
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Cross AJ, Gunter MJ. Ultra-processed foods and colorectal neoplasia: is there a link? J Natl Cancer Inst 2023; 115:117-119. [PMID: 36478262 PMCID: PMC9905961 DOI: 10.1093/jnci/djac222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Affiliation(s)
- Amanda J Cross
- School of Public Health and the Department of Surgery & Cancer, Imperial College London, London, UK
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer-World Health Organization, Lyon, France
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Daniel-Weiner R, Cardel MI, Skarlinski M, Goscilo A, Anderson C, Foster GD. Enabling Informed Decision Making in the Absence of Detailed Nutrition Labels: A Model to Estimate the Added Sugar Content of Foods. Nutrients 2023; 15:nu15040803. [PMID: 36839162 PMCID: PMC9961734 DOI: 10.3390/nu15040803] [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: 01/13/2023] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/08/2023] Open
Abstract
Obesity and diabetes have emerged as an increasing threat to public health, and the consumption of added sugar can contribute to their development. Though nutritional content information can positively influence consumption behavior, added sugar is not currently required to be disclosed in all countries. However, a growing proportion of the world's population has access to mobile devices, which allow for the development of digital solutions to support health-related decisions and behaviors. To test whether advances in computational science can be leveraged to develop an accurate and scalable model to estimate the added sugar content of foods based on their nutrient profile, we collected comprehensive nutritional information, including information on added sugar content, for 69,769 foods. Eighty percent of this data was used to train a gradient boosted tree model to estimate added sugar content, while 20% of it was held out to assess the predictive accuracy of the model. The performance of the resulting model showed 93.25% explained variance per default portion size (84.32% per 100 kcal). The mean absolute error of the estimate was 0.84 g per default portion size (0.81 g per 100 kcal). This model can therefore be used to deliver accurate estimates of added sugar through digital devices in countries where the information is not disclosed on packaged foods, thus enabling consumers to be aware of the added sugar content of a wide variety of foods.
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Affiliation(s)
- Reka Daniel-Weiner
- WW International, Inc., New York, NY 10100, USA
- Correspondence: (R.D.-W.); (M.I.C.)
| | - Michelle I. Cardel
- WW International, Inc., New York, NY 10100, USA
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
- Center for Integrative Cardiovascular and Metabolic Disease, University of Florida, Gainesville, FL 32611, USA
- Correspondence: (R.D.-W.); (M.I.C.)
| | | | | | | | - Gary D. Foster
- WW International, Inc., New York, NY 10100, USA
- Center for Weight and Eating Disorders, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Pan F, Wang Z, Wang H, Zhang J, Su C, Jia X, Du W, Jiang H, Li W, Wang L, Hao L, Zhang B, Ding G. Association between Ultra-Processed Food Consumption and Metabolic Syndrome among Adults in China-Results from the China Health and Nutrition Survey. Nutrients 2023; 15:752. [PMID: 36771458 PMCID: PMC9921592 DOI: 10.3390/nu15030752] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
The prevalence of metabolic syndrome (MetS) is increasing and the relationship between ultra-processed food (UPF) consumption and MetS remains uncertain in Chinese adults. This study aimed to examine the longitudinal association of UPF consumption with the risk of MetS and its components in Chinese adults. Adults aged 18 years and above who participated in at least two waves of the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018 were included in this analysis. Dietary intake data were collected by three consecutive 24 h dietary recalls and weighing household foods and condiments. Depending on the purpose and extent of food processing, UPFs were classified using the NOVA food classification system. A multivariate Cox proportional risk model was used to explore the association between UPF consumption (grouped by quartile: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4)) and risk of MetS and its components. A total of 5147 adults were included. During a median (IQR) 6.0 (3.0, 9.0) year follow-up with 31,878 person-years, 1712 MetS cases were identified, with an incidence of 33.26%. After multivariable adjustment, the risk of MetS was increased by 17% in the highest quartile with UPF consumption (HR: 1.17, 95% CI: 1.01-1.35, p trend: 0.047), with the lowest quartile as a reference. For the components of MetS, the risk of central obesity, raised triglycerides (TG), reduced high-density lipoprotein cholesterol (HDL-C), and raised blood pressure (BP) was increased by 33% (HR: 1.33, 95% CI: 1.18-1.51, p trend: <0.001), 26% (HR: 1.26, 95% CI: 1.08-1.48, p trend: 0.003), 25% (HR: 1.25, 95% CI: 1.07-1.46, p trend: 0.007), and 16% (HR: 1.16, 95% CI: 1.03-1.32, p trend: 0.018) in the highest quartile with UPF consumption, respectively. Adults aged 45-59 years and living in urban areas with higher UPF consumption had higher odds of MetS. These results indicate that higher long-term UPF consumption was associated with an increased risk of MetS in Chinese adults. Further studies such as intervention trials are needed to confirm the mechanism of correlation between UPF consumption and health-related outcomes. Nutritional education actions are warranted to promote a balanced diet and improve the overall dietary quality of residents to reduce the risk of MetS effectively.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Gangqiang Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Canhada SL, Vigo Á, Luft VC, Levy RB, Alvim Matos SM, del Carmen Molina M, Giatti L, Barreto S, Duncan BB, Schmidt MI. Ultra-Processed Food Consumption and Increased Risk of Metabolic Syndrome in Adults: The ELSA-Brasil. Diabetes Care 2023; 46:369-376. [PMID: 36516280 PMCID: PMC9887627 DOI: 10.2337/dc22-1505] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To investigate the association between ultra-processed food (UPF) consumption and the incidence of metabolic syndrome (MetS). RESEARCH DESIGN AND METHODS From 2008 to 2010, we enrolled 15,105 adults, aged 35-74 years, who were employees from six public education and research institutions to assemble the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). We used a food frequency questionnaire to assess UPF consumption (measured in grams per day) at baseline. We then assessed the outcomes of those returning to visits between 2012 and 2014 and between 2017 and 2019. We defined incident MetS by the presence of at least three of the following five abnormalities: high fasting glucose level, high triglyceride level, low HDL cholesterol level, high blood pressure, and abdominal obesity, after excluding those meeting such criteria at baseline. We also excluded those who had missing data or an implausible energy intake, leaving 8,065 participants in the study. RESULTS The median age was 49 years, 59% of participants were women, and the median consumption of UPFs was 366 g/day. After 8 years, there were 2,508 new cases of MetS. In robust Poisson regression, adjusting for sociodemographics, behavioral factors, and energy intake, we found a 7% (relative risk [RR] 1.07; 95% CI 1.05-1.08) higher risk of incident MetS for an increase of 150 g/day in UPF consumption. Similarly, those in the fourth quartile (compared with the first quartile) had a 33% increased risk (RR 1.33; 95% CI 1.20-1.47). Further adjustment for BMI attenuated these associations (for 150 g/day increases in UPF consumption and for the fourth quartile compared to the first one, respectively, RR = 1.04, 95% CI 1.02-1.06; RR = 1.19, 95% CI 1.07-1.32). CONCLUSIONS Greater consumption of UPFs is associated with an increased risk of MetS. These findings have important implications for diabetes and cardiovascular disease prevention and management.
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Affiliation(s)
- Scheine Leite Canhada
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Álvaro Vigo
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Vivian Cristine Luft
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Food, Nutrition and Health, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, School of Medicine, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Sheila Maria Alvim Matos
- Postgraduate Program in Collective Health, Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Maria del Carmen Molina
- Postgraduate Program in Nutrition and Health, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Luana Giatti
- Postgraduate Program in Public Health and School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Sandhi Barreto
- Postgraduate Program in Public Health and School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Bruce Bartholow Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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Scaranni PDODS, de Oliveira Cardoso L, Griep RH, Lotufo PA, Barreto SM, da Fonseca MDJM. Consumption of ultra-processed foods and incidence of dyslipidaemias: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Br J Nutr 2023; 129:336-344. [PMID: 35450540 DOI: 10.1017/s0007114522001131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Ultra-processed foods (UPF) have been associated with cardiometabolic outcomes, but the literature has still not reported their association with the incidence of dyslipidaemias, one of the most important risk factors for the occurrence of CVD. The objective of this study was to verify the association between consumption of UPF and incidence of dyslipidaemia in Brazilian civil servants at a 4-year follow-up. The study used data from 5275 participants at baseline and on the first follow-up visit in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). We applied a FFQ at baseline and identified UPF from NOVA classification of foods as to the extent and purpose of processing. The proportion (weight) of UPF in the total diet was calculated for each participant and categorised in tertiles, corresponding to low (first tertile), medium (second tertile) and high (third tertile) consumption. A mixed-effects logistic model was used to obtain the incidence of dyslipidaemia associated with the consumption of UPF. Individuals with medium and high consumption of UPF showed increases in the risks of development of isolated hypercholesterolaemia by 12 % (OR = 1·12, CI 1·00, 1·27) and 28 % (OR = 1·28, CI 1·12, 1·47), of isolated hypertriacylglycerolaemia by 14 % (OR = 1·14, CI 1·03, 1·26) and 30 % (OR = 1·30, CI 1·17-1·45), of mixed hyperlipidaemia by 21 % (OR = 1·21, CI 1·05, 1·39) and 38 % (OR = 1·38, CI 1·18, 1·62), and of low-HDL by 12 % (OR = 1·12, CI 1·00-1·24) and 18 % (OR = 1·18, CI 1·05, 1·32), respectively, compared with participants who consumed less UPF. Our findings showed important cardiovascular risk associated with the consumption of UPF and a gradient in the consumption's effect, so these products should be discouraged.
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Affiliation(s)
| | | | - Rosane Härter Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Foundation, Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Paulo Andrade Lotufo
- Center for Clinical and Epidemiologic Research, University of Sao Paulo, Sao Paulo, SP, Brazil
- School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Sandhi Maria Barreto
- School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
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126
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Zhang W, Wang X, Huang J, Wang S, Yao Q, Li H. Healthy Eating Index-2015 in relation to risk of metabolic dysfunction-associated fatty liver disease among US population: National Health and Nutrition Examination Survey 2017-2018. Front Nutr 2023; 9:1043901. [PMID: 36712521 PMCID: PMC9875296 DOI: 10.3389/fnut.2022.1043901] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/17/2022] [Indexed: 01/06/2023] Open
Abstract
Background Metabolic dysfunction-associated fatty liver disease (MAFLD) is a serious chronic disease in the US. Dietary patterns provide good guidance for the prevention of chronic diseases. The Healthy Eating Index (HEI-2015) is a dietary pattern based on the dietary characteristics of the US. Objective Since the relation between HEI-2015 and MAFLD is unclear, this study examined their associations using the US National Health and Nutrition Examination Surveys (NHAENS) during 2017-2018. Methods This study included data from 4,062 participants aged ≥20 years, without viral hepatitis or pregnancy. MAFLD is defined as hepatic steatosis with one or more of the following: (1) overweight or obesity (body mass index ≥25 kg/m2); (2) type 2 diabetes; or (3) two or more other metabolic risk abnormalities. HEI-2015 scores were calculated from food intake information collected by the 24-h meal review method. The relationship of HEI-2015 with MAFLD was calculated using survey-weighted logistic regression analysis after adjusting for sex, age, race, education level, smoking status, alcohol use, levels of C-reactive protein, Aspartate Aminotransferase, Alanine Aminotransferase, a body shape index, minutes of sedentary activity, levels of cholesterol and glucose, energy take, drugs use, hypertension, and diabetes. Results When compared to the study population with no MAFLD, the patients with MAFLD showed a lower weighted mean HEI (48.0 ± 0.6). HEI-2015 was inversely associated with MAFLD in the fully adjusted model [Q4 vs. Q1, OR = 0.567 (0.407-0.790), P = -0.002]. Among the 13 HEI-2015 components, total vegetables, greens and beans, total fruits, whole fruits, and whole grains were negatively associated with MAFLD, while added sugars were positively associated with MAFLD. This inverse association was consistent in subgroups of the participants stratified by sex, age, education level, race, body shape index, minutes of sedentary activity, hypertension, and diabetes. Conclusion A higher HEI-2015 is associated with a lowered risk of MAFLD which is more obvious among participations who were women, young, Mexican Americans, with higher education, and with no hypertension or diabetes.
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Affiliation(s)
- Wei Zhang
- School of Public Health, Xiamen University, Xiamen, China
| | - Xinyue Wang
- Xiamen Clinical Research Center for Cancer Therapy, Department of Nutrition, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
| | - Jiale Huang
- Department of Clinical Nutrition, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Siyi Wang
- Xiamen Clinical Research Center for Cancer Therapy, Department of Nutrition, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
| | - Qing Yao
- Department of Nutrition, Zhongshan Hospital, Fudan University, Shanghai, China,*Correspondence: Qing Yao
| | - Hongwei Li
- School of Public Health, Xiamen University, Xiamen, China,Hongwei Li
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Li X, Zhao Y, Zhang D, Kuang L, Huang H, Chen W, Fu X, Wu Y, Li T, Zhang J, Yuan L, Hu H, Liu Y, Zhang M, Hu F, Sun X, Hu D. Development of an interpretable machine learning model associated with heavy metals' exposure to identify coronary heart disease among US adults via SHAP: Findings of the US NHANES from 2003 to 2018. CHEMOSPHERE 2023; 311:137039. [PMID: 36342026 DOI: 10.1016/j.chemosphere.2022.137039] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/16/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
Limited information is available on the links between heavy metals' exposure and coronary heart disease (CHD). We aim to establish an efficient and explainable machine learning (ML) model that associates heavy metals' exposure with CHD identification. Our datasets for investigating the associations between heavy metals and CHD were sourced from the US National Health and Nutrition Examination Survey (US NHANES, 2003-2018). Five ML models were established to identify CHD by heavy metals' exposure. Further, 11 discrimination characteristics were used to test the strength of the models. The optimally performing model was selected for identification. Finally, the SHapley Additive exPlanations (SHAP) tool was used for interpreting the features to visualize the selected model's decision-making capacity. In total, 12,554 participants were eligible for this study. The best performing random forest classifier (RF) based on 13 heavy metals to identify CHD was chosen (AUC: 0.827; 95%CI: 0.777-0.877; accuracy: 95.9%). SHAP values indicated that cesium (1.62), thallium (1.17), antimony (1.63), dimethylarsonic acid (0.91), barium (0.76), arsenous acid (0.79), total arsenic (0.01) in urine, and lead (3.58) and cadmium (4.66) in blood positively contributed to the model, while cobalt (-0.15), cadmium (-2.93), and uranium (-0.13) in urine negatively contributed to the model. The RF model was efficient, accurate, and robust in identifying an association between heavy metals' exposure and CHD among US NHANES 2003-2018 participants. Cesium, thallium, antimony, dimethylarsonic acid, barium, arsenous acid, and total arsenic in urine, and lead and cadmium in blood show positive relationships with CHD, while cobalt, cadmium, and uranium in urine show negative relationships with CHD.
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Affiliation(s)
- Xi Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongdong Zhang
- Department of Respirology and Allergy, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China; Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Lei Kuang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Hao Huang
- Department of Respirology and Allergy, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Weiling Chen
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Xueru Fu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yuying Wu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lijun Yuan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Huifang Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yu Liu
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Xizhuo Sun
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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Fajardo VC, Barreto SM, Coelho CG, Haueisen Sander Diniz MDF, Bisi Molina MDC, Pinho Ribeiro AL, Telles RW. Ultra-processed foods: Cross-sectional and longitudinal association with uric acid and hyperuricemia in ELSA-Brasil. Nutr Metab Cardiovasc Dis 2023; 33:75-83. [PMID: 36411223 DOI: 10.1016/j.numecd.2022.09.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 09/16/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND AND AIMS Food intake influences uric acid (UA) levels and hyperuricemia (HU), but evidence on the role of ultra-processed foods (UPFs) are scarce. The association between UPFs consumption and (1) HU prevalence and UA levels; (2) HU cumulative incidence; and (3) UA level change over a 4-year period was investigated. METHODS AND RESULTS Cross-sectional and longitudinal analyses were performed using baseline (2008-2010, aged 35-74 years) and second visit (2012-2014) data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Participants with glomerular filtration rate <60 mL/min/1.73 m2, bariatric surgery, implausible caloric intake, and using urate-lowering therapy (ULT) at baseline were excluded (all analyses). Participants with HU at baseline were excluded from longitudinal analyses. UPFs consumption was assessed using a food frequency questionnaire (FFQ) and categorized by the NOVA classification system (100 g/day). HU was defined as UA≥6.8 mg/dL. Linear, logistic, and mixed-effect linear regressions investigated the associations between UPFs consumption and UA/HU, adjusted for covariates. The final samples included 13,923 (cross-sectional) and 10,517 (longitudinal) individuals. The prevalence of HU was 18.7%, and the cumulative incidence was 4.9%. Greater UPFs consumption was associated with a greater prevalence of HU (OR:1.025 95%CI: 1.006; 1.044) and higher UA levels (β:0.024 95%CI: 0.016; 0.032). Every additional consumption of 100 g/day of UPFs raised the 4-year cumulative incidence of HU by 5.6% (95%CI: 1.021; 1.092). However, UPFs were not associated with the pace of UA level changes during the study period. CONCLUSION The present study shows that greater UPFs consumption is associated with another deleterious health consequence: higher UA levels and the risk of having HU.
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Affiliation(s)
- Virgínia Capistrano Fajardo
- Post-graduate Program in Ciências Aplicadas à Saúde do Adulto, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Sandhi Maria Barreto
- Department of Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Carolina Gomes Coelho
- Department of Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria de Fátima Haueisen Sander Diniz
- Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Department of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Antônio Luiz Pinho Ribeiro
- Department of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Telehealth Center, Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Rosa Weiss Telles
- Department of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Rheumatology Service, Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
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Tracey CT, Kryuchkova AV, Bhatt TK, Krivoshapkin PV, Krivoshapkina EF. Silk for post-harvest horticultural produce safety and quality control. J FOOD ENG 2023. [DOI: 10.1016/j.jfoodeng.2022.111231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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de Araújo JM, Eufrosino de Alencar Rodrigues R, da Costa Pereira de Arruda Neta A, Leite Lima Ferreira FE, Lira Formiga Cavalcanti de Lima R, Pinheiro de Toledo Vianna R, Vasconcelos Leitão Moreira L, Moreira da Silva Neto J, Moreira PVL. The direct and indirect costs of cardiovascular diseases in Brazil. PLoS One 2022; 17:e0278891. [PMID: 36548305 PMCID: PMC9778932 DOI: 10.1371/journal.pone.0278891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 11/23/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To evaluate the direct and indirect costs of cardiovascular diseases (such as coronary heart disease and stroke) by sex and age group, attributed to the excessive consumption of salt, saturated fat and trans fat in Brazil. MATERIALS AND METHODS The data for estimating the Population Attributable Fraction (PAF) corresponding to the consumption of salt, saturated fat and trans-fat were obtained from the Household Budget Survey 2017-2018. The calculation of direct costs for cardiovascular diseases (CVD) was made from the accounting sum of costs with hospitalizations and outpatient care found in the National Health System (Hospital Information System and Outpatient Information System), from 2017 to 2019, including the costs of treatment, such as medical consultations, medical procedures, and drugs. Regarding the indirect costs, they were measured by the loss of human capital, given the premature death, resulting in loss of productivity. To define the attributable costs, they were multiplied by the PAF. RESULTS Higher burden of CVD attributable to the consumption of salt, saturated fat and trans fat were observed in younger individuals, which progressively decreased with advancing age, but still generated economic costs in the order of US$ 7.18 billion, in addition to 1.53 million productive years of life lost (YLL) to premature death, if considering salt as an inducer. Although attributable burden of CVD is higher among younger individuals, the highest costs are associated with males aged 45 to 74 years old for direct costs and 45 to 64 years old for indirect costs. CONCLUSION The attributable fractions to consumption of salt are the ones that cause the most effects on CVD, followed by saturated fat and trans fat, with direct and indirect costs being higher for males.
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Huybrechts I, Rauber F, Nicolas G, Casagrande C, Kliemann N, Wedekind R, Biessy C, Scalbert A, Touvier M, Aleksandrova K, Jakszyn P, Skeie G, Bajracharya R, Boer JMA, Borné Y, Chajes V, Dahm CC, Dansero L, Guevara M, Heath AK, Ibsen DB, Papier K, Katzke V, Kyrø C, Masala G, Molina-Montes E, Robinson OJK, Santiuste de Pablos C, Schulze MB, Simeon V, Sonestedt E, Tjønneland A, Tumino R, van der Schouw YT, Verschuren WMM, Vozar B, Winkvist A, Gunter MJ, Monteiro CA, Millett C, Levy RB. Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing. Front Nutr 2022; 9:1035580. [PMID: 36590209 PMCID: PMC9800919 DOI: 10.3389/fnut.2022.1035580] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/17/2022] [Indexed: 12/23/2022] Open
Abstract
Background Epidemiological studies have demonstrated an association between the degree of food processing in our diet and the risk of various chronic diseases. Much of this evidence is based on the international Nova classification system, which classifies food into four groups based on the type of processing: (1) Unprocessed and minimally processed foods, (2) Processed culinary ingredients, (3) Processed foods, and (4) "Ultra-processed" foods (UPF). The ability of the Nova classification to accurately characterise the degree of food processing across consumption patterns in various European populations has not been investigated so far. Therefore, we applied the Nova coding to data from the European Prospective Investigation into Cancer and Nutrition (EPIC) in order to characterize the degree of food processing in our diet across European populations with diverse cultural and socio-economic backgrounds and to validate this Nova classification through comparison with objective biomarker measurements. Methods After grouping foods in the EPIC dataset according to the Nova classification, a total of 476,768 participants in the EPIC cohort (71.5% women; mean age 51 [standard deviation (SD) 9.93]; median age 52 [percentile (p)25-p75: 58-66] years) were included in the cross-sectional analysis that characterised consumption patterns based on the Nova classification. The consumption of food products classified as different Nova categories were compared to relevant circulating biomarkers denoting food processing, measured in various subsamples (N between 417 and 9,460) within the EPIC cohort via (partial) correlation analyses (unadjusted and adjusted by sex, age, BMI and country). These biomarkers included an industrial transfatty acid (ITFA) isomer (elaidic acid; exogenous fatty acid generated during oil hydrogenation and heating) and urinary 4-methyl syringol sulfate (an indicator for the consumption of smoked food and a component of liquid smoke used in UPF). Results Contributions of UPF intake to the overall diet in % grams/day varied across countries from 7% (France) to 23% (Norway) and their contributions to overall % energy intake from 16% (Spain and Italy) to >45% (in the UK and Norway). Differences were also found between sociodemographic groups; participants in the highest fourth of UPF consumption tended to be younger, taller, less educated, current smokers, more physically active, have a higher reported intake of energy and lower reported intake of alcohol. The UPF pattern as defined based on the Nova classification (group 4;% kcal/day) was positively associated with blood levels of industrial elaidic acid (r = 0.54) and 4-methyl syringol sulfate (r = 0.43). Associations for the other 3 Nova groups with these food processing biomarkers were either inverse or non-significant (e.g., for unprocessed and minimally processed foods these correlations were -0.07 and -0.37 for elaidic acid and 4-methyl syringol sulfate, respectively). Conclusion These results, based on a large pan-European cohort, demonstrate sociodemographic and geographical differences in the consumption of UPF. Furthermore, these results suggest that the Nova classification can accurately capture consumption of UPF, reflected by stronger correlations with circulating levels of industrial elaidic acid and a syringol metabolite compared to diets high in minimally processed foods.
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Affiliation(s)
- Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Fernanda Rauber
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Nathalie Kliemann
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Roland Wedekind
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University Paris Cité (CRESS), Paris, France
| | - Krasimira Aleksandrova
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany
- Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | | | - Jolanda M. A. Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Yan Borné
- Department of Clinical Sciences Malmö, Faculty of Medicine, Nutritional Epidemiology, Lund University, Lund, Sweden
| | - Veronique Chajes
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | | | - Lucia Dansero
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health (C-BEPH), University of Turin, Turin, Italy
| | - Marcela Guevara
- Instituto de Salud Pública de Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Daniel B. Ibsen
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Giovanna Masala
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Esther Molina-Montes
- Department of Nutrition and Food Science, Campus of Cartuja, University of Granada, Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Biomedical Research Centre, Institute of Nutrition and Food Technology (INYTA) “José Mataix”, University of Granada, Granada, Spain
| | - Oliver J. K. Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Carmen Santiuste de Pablos
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Vittorio Simeon
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Vanvitelli University, Naples, Italy
| | - Emily Sonestedt
- Department of Clinical Sciences Malmö, Faculty of Medicine, Nutritional Epidemiology, Lund University, Lund, Sweden
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS, Ragusa, Italy
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - W. M. Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Beatrice Vozar
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Anna Winkvist
- Sustainable Health, Department Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Carlos A. Monteiro
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Christopher Millett
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
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Srour B, Kordahi MC, Bonazzi E, Deschasaux-Tanguy M, Touvier M, Chassaing B. Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights. Lancet Gastroenterol Hepatol 2022; 7:1128-1140. [PMID: 35952706 DOI: 10.1016/s2468-1253(22)00169-8] [Citation(s) in RCA: 146] [Impact Index Per Article: 48.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
Epidemiological studies have suggested a role for ultra-processed foods in numerous chronic inflammatory diseases such as inflammatory bowel diseases and metabolic syndrome. Preclinical and clinical studies are accumulating to better decipher the effects of various aspects of food processing and formulation on the aetiology of chronic, debilitating inflammatory diseases. In this Review, we provide an overview of the current data that highlight an association between ultra-processed food consumption and various chronic diseases, with a focus on epidemiological evidence and mechanistic insights involving the intestinal microbiota.
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Affiliation(s)
- Bernard Srour
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Melissa C Kordahi
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Erica Bonazzi
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, Centre of Research in Epidemiology and Statistics, Université Paris Cité, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Benoit Chassaing
- INSERM U1016, Mucosal microbiota in chronic inflammatory diseases, CNRS UMR 8104, Université de Paris, Paris, France; NACRe Network-Nutrition and Cancer Research Network, Jouy-en-Josas, France.
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133
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Ricket IM, Brown JR, MacKenzie TA, Ma Y, Grewal D, Ailawadi KL, Emond JA. Quantifying differences in packaged food and drink purchases among households with diet-related cardiometabolic multi-morbidity: a cross-sectional analysis. BMC Public Health 2022; 22:2101. [PMID: 36397061 PMCID: PMC9670385 DOI: 10.1186/s12889-022-14626-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 11/14/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Diet is important for chronic disease management, with limited research understanding dietary choices among those with multi-morbidity, the state of having 2 or more chronic conditions. The objective of this study was to identify associations between packaged food and drink purchases and diet-related cardiometabolic multi-morbidity (DRCMM). METHODS Cross-sectional associations between packaged food and drink purchases and household DRCMM were investigated using a national sample of U.S. households participating in a research marketing study. DRCMM households were defined as household head(s) self-reporting 2 or more diet-related chronic conditions. Separate multivariable logistic regression models were used to model the associations between household DRCMM status and total servings of, and total calories and nutrients from, packaged food and drinks purchased per month, as well as the nutrient density (protein, carbohydrates, and fat per serving) of packaged food and drinks purchased per month, adjusted for household size. RESULTS Among eligible households, 3795 (16.8%) had DRCMM. On average, households with DRCMM versus without purchased 14.8 more servings per capita, per month, from packaged foods and drinks (p < 0.001). DRCMM households were 1.01 times more likely to purchase fat and carbohydrates in lieu of protein across all packaged food and drinks (p = 0.002, p = 0.000, respectively). DRCMM households averaged fewer grams per serving of protein, carbohydrates, and fat per month across all food and drink purchases (all p < 0.001). When carbonated soft drinks and juices were excluded, the same associations for grams of protein and carbohydrates per serving per month were seen (both p < 0.001) but the association for grams of fat per serving per month attenuated. CONCLUSIONS DRCMM households purchased greater quantities of packaged food and drinks per capita than non-DRCMM households, which contributed to more fat, carbohydrates, and sodium in the home. However, food and drinks in DRCMM homes on average were lower in nutrient-density. Future studies are needed to understand the motivations for packaged food and drink choices among households with DRCMM to inform interventions targeting the home food environment.
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Affiliation(s)
- Iben M Ricket
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
| | - Jeremiah R Brown
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Todd A MacKenzie
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Yu Ma
- Desautels Faculty of Management, McGill University, Montreal, Quebec, Canada
| | - Dhruv Grewal
- Marketing Division, Babson College, Babson Park, MA, USA
| | | | - Jennifer A Emond
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Department of Pediatrics, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
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134
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Handakas E, Chang K, Khandpur N, Vamos EP, Millett C, Sassi F, Vineis P, Robinson O. Metabolic profiles of ultra-processed food consumption and their role in obesity risk in British children. Clin Nutr 2022; 41:2537-2548. [PMID: 36223715 DOI: 10.1016/j.clnu.2022.09.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND & AIMS Higher consumption of ultra-processed foods (UPF) has been associated with childhood obesity, but underlying mechanisms remain unclear. We investigated plasma nuclear magnetic resonance metabolic profiles of higher UPF consumption and their role in obesity risk in the British ALSPAC cohort. METHODS We performed cross-sectional and prospective metabolome wide association analyses of UPF, calculated from food diaries using the NOVA classification. In cross-sectional analysis, we tested the association between UPF consumption and metabolic profile at 7 years (N = 4528), and in the prospective analysis we tested the association between UPF consumption at 13 years and metabolic profile at 17 years (N = 3086). Effects of UPF-associated metabolites at 7 years on subsequent fat mass accumulation were assessed using growth curve models. RESULTS At 7 years, UPF was associated with 115 metabolic traits including lower levels of branched-chain and aromatic amino acids and higher levels of citrate, glutamine, and monounsaturated fatty acids, which were also associated with greater fat mass accumulation. Reported intake of nutrients mediated associations with most metabolites, except for citrate. CONCLUSIONS UPF consumption among British children is associated with perturbation of multiple metabolic traits, many of which contribute to child obesity risk.
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Affiliation(s)
- Evangelos Handakas
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
| | - Kiara Chang
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom
| | - Neha Khandpur
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil; Center for Epidemiological Research in Nutrition and Health, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, U. S. A
| | - Eszter P Vamos
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom
| | - Christopher Millett
- Public Health Policy Evaluation Unit, Imperial College London, London W6 8RP, United Kingdom; Comprehensive Health Research Center and Public Health Research Centre, National School of Public Health, NOVA University Lisbon, Portugal
| | - Franco Sassi
- Centre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom
| | - Paolo Vineis
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom
| | - Oliver Robinson
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, United Kingdom; Mohn Centre for Children's Health and Well-being, School of Public Health, Imperial College London, United Kingdom.
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135
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Association between Ultra-Processed Food Consumption and Diabetes in Chinese Adults-Results from the China Health and Nutrition Survey. Nutrients 2022; 14:nu14204241. [PMID: 36296925 PMCID: PMC9609918 DOI: 10.3390/nu14204241] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 11/17/2022] Open
Abstract
Aims: We aimed to assess the association between ultra-processed food (UPF) consumption with diabetes in Chinese adults. Methods: This study included 12,849 eligible adults aged 20 years and over attending at least two surveys in the China Nutrition and Health Survey during 1997−2011. Food intake at each survey was assessed by a 3-day 24-h dietary recall method. UPF was defined based on the NOVA classification. Diabetes was obtained from questionnaires and/or ascertained by fasting blood tests. The association of diabetes with UPF was examined using mix effect logistic regression adjusting for potential confounding factors. Results: The mean age of the participants was 43.3 (SD 14.8) years. The age and gender adjusted mean UPF intake increased four times and the prevalence of diabetes increased eight times in 1997−2011. Compared with non-consumers, the odds ratios (95% CI) of diabetes for those with mean UPF consumption of 1−19 g/day, 20−49 g/day, and ≥50 g/day were 1.21 (0.98, 1.48), 1.49 (1.19, 1.86), and 1.40 (1.08, 1.80), respectively (p trend < 0.001) after adjusted for the measured covariates including lifestyle factors (smoking, alcohol drinking, and physical activity), BMI and hypertension. Conclusions: both UPF consumption and prevalence of diabetes increased among adults in China during 1997−2011. Higher UPF consumption was positively associated with diabetes.
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The Origins of the Obesity Epidemic in the USA–Lessons for Today. Nutrients 2022; 14:nu14204253. [PMID: 36296935 PMCID: PMC9611578 DOI: 10.3390/nu14204253] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 10/10/2022] [Accepted: 10/11/2022] [Indexed: 11/16/2022] Open
Abstract
The obesity epidemic appeared in the USA in 1976–1980 and then spread across Westernized countries. This paper examines the most likely causes of the epidemic in the USA. An explanation must be consistent with the emergence of the epidemic in both genders and in all age groups and ethnicities at about the same time, and with a steady rise in the prevalence of obesity until at least 2016. The cause is closely related to changes in the American diet. There is little association with changes in the intake of fat and carbohydrate. This paper presents the opinion that the factor most closely linked to the epidemic is ultra-processed foods (UPFs) (i.e., foods with a high content of calories, salt, sugar, and fat but with very little whole foods). Of particular importance is sugar intake, especially sugar-sweetened beverages (SSBs). There is strong evidence that consumption of SSBs leads to higher energy intake and more weight gain. A similar pattern is also seen with other UPFs. Factors that probably contributed to the increased intake of UPFs include their relatively low price and the increased popularity of fast-food restaurants. Other related topics discussed include: (1) the possible importance of Farm Bills implemented by the US Department of Agriculture; (2) areas where further research is needed; (3) health hazards linked to UPFs; and (4) the need for public health measures to reduce intake of UPFs.
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137
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Atzeni A, Martínez MÁ, Babio N, Konstanti P, Tinahones FJ, Vioque J, Corella D, Fitó M, Vidal J, Moreno-Indias I, Pertusa-Martinez S, Álvarez-Sala A, Castañer O, Goday A, Damas-Fuentes M, Belzer C, Martínez-Gonzalez MÁ, Hu FB, Salas-Salvadó J. Association between ultra-processed food consumption and gut microbiota in senior subjects with overweight/obesity and metabolic syndrome. Front Nutr 2022; 9:976547. [PMID: 36299993 PMCID: PMC9589409 DOI: 10.3389/fnut.2022.976547] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/21/2022] [Indexed: 12/14/2022] Open
Abstract
The production and consumption of ultra-processed foods (UPF) has increased considerably during the last years worldwide. Collective evidence shows the association between UPF consumption and adverse health outcomes, including inflammatory gastro-intestinal disorders and obesity. The gut microbiota has been suggested as potential mediator of the effects of UPF consumption on metabolism and health. However, few studies have been conducted in order to elucidate these aspects. Therefore, the aim of the present study was to assess the cross-sectional associations between UPF consumption and gut microbiota in a population of senior subjects (n = 645) within the frame of the PREDIMED-Plus trial. Eligible participants were men and women (aged 55-75 years), without documented history of cardiovascular disease at enrollment, with overweight/obesity (body mass index ≤ 27 and <40 kg/m2) and metabolic syndrome. Using the information of food frequency questionnaires, the consumption of UPF, expressed as a percentage of total dietary energy intake in kcal/day, was calculated considering those food items classified in group 4 of NOVA system. Population was categorized according to tertiles of UPF consumption. Taxonomic fecal microbiota information, along with blood biochemical parameters, anthropometric measurements and clinical data were obtained. Bioinformatics analysis was performed to study the association between fecal microbiota composition and UPF consumption. We observed that subjects allocated in the highest tertile of UPF consumption (21.4 ± 5.0 % kcal/day) presented lower adherence to MedDiet (p < 0.001) and higher total energy intake (p < 0.001). The taxonomic analysis of the fecal microbiota revealed a significant (Benjamini-Hochberg adjusted p < 0.2) positive association between specific taxa and tertiles (T) of UPF consumption: Alloprevotella (p = 0.041 vs. T2; p = 0.065 vs. T3), Negativibacillus (p = 0.096 vs. T3), Prevotella (p = 0.116 vs. T3), and Sutterella (p = 0.116 vs. T2). UPF consumption was positively associated with lower adherence to MedDiet and higher total energy intake in senior subjects with overweight obesity and metabolic syndrome. In addition, positive association with specific fecal microbiota taxa related to inflammatory gastro-intestinal diseases and low consumption of fruits and vegetables, was observed.
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Affiliation(s)
- Alessandro Atzeni
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - María Ágeles Martínez
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Nancy Babio
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
| | - 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 and Nutrition, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Vic, 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 Hernández (ISABIAL-UMH), Alicante, 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
| | - 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
| | - 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
- 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, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Vic, Málaga, Spain
| | | | - Andrea Álvarez-Sala
- 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
- 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
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain.,IMIM, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Miguel Damas-Fuentes
- 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, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Vic, Málaga, Spain
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
| | - Miguel Á Martínez-Gonzalez
- 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, University of Navarra, Pamplona, Spain.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - 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
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
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Tak M, Law C, Green R, Shankar B, Cornelsen L. Processed foods purchase profiles in urban India in 2013 and 2016: a cluster and multivariate analysis. BMJ Open 2022; 12:e062254. [PMID: 36207045 PMCID: PMC9558783 DOI: 10.1136/bmjopen-2022-062254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 08/25/2022] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES Sales of ultraprocessed foods (UPFs) and beverages are rising in low-income and middle-income countries. Such foods are often linked with weight gain, obesity, type 2 diabetes and hypertension-diseases that are on the rise in India. This paper analysed patterns in purchases of processed and UPF by urban Indian households. SETTING Panel data from Kantar -Worldpanel Division, India for 2013 and 2016. PARTICIPANTS 58 878 urban Indian households. METHODS We used K-mean partition clustering and multivariate regression to analyse patterns in processed food (PF) and UPF purchase for urban India. RESULTS Three-quarters of urban Indian households purchased over ten PF groups. Mean per person annual PF purchase was 150 kg. UPF purchase was low at 6.4 kg in 2016 but had grown by 6% since 2013. Cluster analysis identified three patterns of consumption, characterised by low (54% of the households in 2016), medium (36%) and high (10%) PF purchase quantities. High cluster households purchased over three times as much PFs and UPF as the low cluster households. Notably, salt purchases were persistently high across clusters in both years (>3.3 kg), while sweet snack and ready-to-eat food purchases grew consistently in all clusters between 2013 and 2016. A positive and significant association was found between household purchases of UPF and their socioeconomic status as well as ownership of durables, such as refrigerator, colour television and washing machine (all p<0.001). Spatial characteristics including size of town (p<0.05) in which the household is located were also positively associated with the purchase of UPF. CONCLUSION Results suggest the need for tailored regional and city level interventions to curb the low but growing purchase of UPF. New data on obesity and rise of non-communicable diseases, the results are concerning given the links between lifestyle changes and the speed of urbanisation in Indian cities.
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Affiliation(s)
- Mehroosh Tak
- Veterinary Epidemiology, Economics and Public Health, The Royal Veterinary College, London, UK
| | - Cherry Law
- Department of Agri-Food Economics and Marketing, School of Agriculture, Policy and Development, University of Reading, Reading, UK
| | - Rosemary Green
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Bhavani Shankar
- Institute for Sustainable Food, University of Sheffield, Sheffield, UK
| | - Laura Cornelsen
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
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139
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Konieczna J, Fiol M, Colom A, Martínez-González MÁ, Salas-Salvadó J, Corella D, Soria-Florido MT, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, López-Miranda J, Estruch R, Bernal-López MR, 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, Ros E, Bes-Rastrollo M, Pascual M, Sorlí JV, Goday A, Zulet MÁ, Moreno-Rodriguez A, Carmona González FJ, Valls-Enguix R, Janer JM, Garcia-Rios A, Casas R, Gomez-Perez AM, Santos-Lozano JM, Basterra-Gortari FJ, Martínez MÁ, Ortega-Azorin C, Bayó J, Abete I, Salaverria-Lete I, Ruiz-Canela M, Babio N, Carres L, Romaguera D. Does Consumption of Ultra-Processed Foods Matter for Liver Health? Prospective Analysis among Older Adults with Metabolic Syndrome. Nutrients 2022; 14:nu14194142. [PMID: 36235794 PMCID: PMC9570694 DOI: 10.3390/nu14194142] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 11/06/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) includes a spectrum of liver alterations that can result in severe disease and even death. Consumption of ultra-processed foods (UPF) has been associated with obesity and related comorbidities. However, the link between UPF and NAFLD has not been sufficiently assessed. We aimed to investigate the prospective association between UPF consumption and liver health biomarkers. Methods: We followed for 1 year 5867 older participants with overweight/obesity and metabolic syndrome (MetS) from the PREDIMED-Plus trial. A validated 143-item semi-quantitative food frequency questionnaire was used to evaluate consumption of UPF at baseline, 6, and 12 months. The degree of processing for foods and beverages (g/day) was established according to the NOVA classification system. The non-invasive fatty liver index (FLI) and hepatic steatosis index (HSI) were used to evaluate liver health at three points in time. The associations between changes in UPF consumption (percentage of total daily dietary intake (g)) and liver biomarkers were assessed using mixed-effects linear models with repeated measurements. Results: In this cohort, UPF consumption at baseline was 8.19% (SD 6.95%) of total daily dietary intake in grams. In multivariable models, each 10% daily increment in UPF consumption in 1 year was associated with significantly greater FLI (β 1.60 points, 95% CI 1.24;1.96 points) and HSI (0.43, 0.29; 0.57) scores (all p-values < 0.001). These associations persisted statistically significant after adjusting for potential dietary confounders and NAFLD risk factors. Conclusions: A higher UPF consumption was associated with higher levels of NAFLD-related biomarkers in older adults with overweight/obesity and MetS.
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Affiliation(s)
- Jadwiga Konieczna
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-871-20-5050 (ext. 64527)
| | - Miguel Fiol
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Antoni Colom
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 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, 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, MA 02115, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia,46010 Valencia, Spain
| | - María Trinidad Soria-Florido
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health 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
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 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, 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, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29016 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL-UMH), 03010 Alicante, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health 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
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - M. Rosa Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29009 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 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, 35001 Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- 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, 18011 Granada, Spain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Vicente 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
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge Idibell-UB, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José J. Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de 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, 08007 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, 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
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, IDIBAPS, Hospital Clínic, 08036 Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain
| | - María Pascual
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Jose V. Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia,46010 Valencia, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health 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
- Departament de Medicina, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - María Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Anai Moreno-Rodriguez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 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, 01009 Vitoria-Gasteiz, Spain
| | - Francisco Jesús Carmona González
- Unidad de Gestión Clínica Torrequebrada, Distrito de Atención Primaria Costa del Sol, Servicio Andaluz de Salud, 29640 Benalmádena, Spain
| | | | - Juana M. Janer
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Salud Camp Redó (UBS Son Sardina) Gerència Atenció Primària de Mallorca, 07010 Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health 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
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Ana M. Gomez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29071 Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - F. Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio de Endocrinología. Complejo Hospitalario de Navarra, Servicio Navarro de Salud, 31003 Pamplona, Spain
| | - María Ángeles Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Carolina Ortega-Azorin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia,46010 Valencia, Spain
| | - Joan Bayó
- CAP El Clot, Institut Català de la Salut, 08018 Barcelona, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Itziar Salaverria-Lete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 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, 01009 Vitoria-Gasteiz, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43201 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Lourdes Carres
- Atención Primaria Sant Martí, Institut Català de la Salut, 08020 Barcelona, Spain
| | - Dora Romaguera
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
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140
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Chen X, Chu J, Hu W, Sun N, He Q, Liu S, Feng Z, Li T, Han Q, Shen Y. Associations of ultra-processed food consumption with cardiovascular disease and all-cause mortality: UK Biobank. Eur J Public Health 2022; 32:779-785. [PMID: 36006020 PMCID: PMC9527958 DOI: 10.1093/eurpub/ckac104] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND This study aimed to investigate the associations between ultra-processed food (UPF) consumption and the risk of cardiovascular disease and all-cause mortality in the UK Biobank Cohort. METHODS This observational prospective study evaluated 60 298 participants aged 40 years or older. We used the NOVA classification system to identify and categorize UPF. The associations among UPF consumption, cardiovascular disease (CVD) incidence and all-cause mortality were estimated using multivariable Cox proportional hazards models. Dose-response analysis of UPF consumption and CVD incidence and mortality was performed using a restricted cubic spline. RESULTS After a median follow-up of 10.9 years, 6048 participants (10.0%) experienced CVD events, and 5327 (8.8%) and 1503 (2.5%) experienced coronary heart and cerebrovascular diseases, respectively. There were 2590 (4.3%) deaths, of which 384 (0.6%) deaths were caused by CVD. A higher intake of UPF was associated with a higher risk of CVD and all-cause mortality (all P < 0.001). A higher intake of UPF was associated with a higher risk of CVD [hazard ratio (HR) = 1.17, 95% confidence interval (CI): 1.09-1.26], coronary heart disease (HR = 1.16, 95% CI: 1.07-1.25), cerebrovascular disease (HR = 1.30, 95% CI: 1.13-1.50) and all-cause mortality (HR = 1.22, 95% CI: 1.09-1.36). The association of UPF consumption with a range of CVD incidents and all-cause mortality was monotonic (all P for non-linearity > 0.30). CONCLUSIONS A higher proportion of UPF consumption was associated with CVD and all-cause mortality. Thus, actions to limit UPF consumption should be incorporated into the CVD and all-cause mortality prevention recommendations.
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Affiliation(s)
- Xuanli Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Jiadong Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Wei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Na Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Qida He
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Siyuan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Zhaolong Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Tongxing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Qiang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
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Unhealthy Diets Induce Distinct and Regional Effects on Intestinal Inflammatory Signalling Pathways and Long-Lasting Metabolic Dysfunction in Rats. Int J Mol Sci 2022; 23:ijms231810984. [PMID: 36142897 PMCID: PMC9503261 DOI: 10.3390/ijms231810984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/09/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
The intestinal epithelium is a principal site for environmental agents’ detection. Several inflammation- and stress-related signalling pathways have been identified as key players in these processes. However, it is still unclear how the chronic intake of inadequate nutrients triggers inflammatory signalling pathways in different intestinal regions. We aimed to evaluate the impact of unhealthy dietary patterns, starting at a younger age, and the association with metabolic dysfunction, intestinal inflammatory response, and obesity in adulthood. A rat model was used to evaluate the effects of the consumption of sugary beverages (HSD) and a Western diet (WD), composed of ultra-processed foods. Both diets showed a positive correlation with adiposity index, but a positive correlation was found between the HSD diet and the levels of blood glucose and triglycerides, whereas the WD diet correlated positively with triglyceride levels. Moreover, a distinct inflammatory response was associated with either the WD or HSD diets. The WD induced an increase in TLR2, TLR4, and nuclear factor-kappa B (NF-κB) intestinal gene expression, with higher levels in the colon and overexpression of the inducible nitric oxide synthase. In turn, the HSD diet induced activation of the TLR2-mediated NF-κB signalling pathway in the small intestine. Altogether, these findings support the concept that early intake of unhealthy foods and nutrients are a main exogenous signal for disturbances of intestinal immune mechanisms and in a region-specific manner, ultimately leading to obesity-related disorders in later life.
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Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. J Med Syst 2022; 46:70. [DOI: 10.1007/s10916-022-01860-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 08/26/2022] [Indexed: 11/26/2022]
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Ultra-processed Foods and Cardiometabolic Health Outcomes: from Evidence to Practice. Curr Atheroscler Rep 2022; 24:849-860. [PMID: 36070170 DOI: 10.1007/s11883-022-01061-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Poor diet quality is the leading risk factor related to the overall cardiometabolic disease burden in the USA and globally. We review the current evidence linking ultra-processed foods and cardiometabolic health risk and provide recommendations for action at the clinical and public health levels. RECENT FINDINGS A growing body of evidence conducted in a variety of study populations supports an association between ultra-processed food intake and increased risk of metabolic syndrome, hypertension, type 2 diabetes, overweight and obesity trajectories, and cardiovascular disease. The strongest evidence is observed in relation to weight gain and obesity among adults, as this association is supported by high-quality epidemiological and experimental evidence. Accumulating epidemiologic evidence and putative biological mechanisms link ultra-processed foods to cardiometabolic health outcomes. The high intake of ultra-processed foods in all population groups and its associated risks make ultra-processed foods an ideal target for intensive health promotion messaging and interventions.
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Li H, Li S, Yang H, Zhang Y, Zhang S, Ma Y, Hou Y, Zhang X, Niu K, Borné Y, Wang Y. Association of Ultraprocessed Food Consumption With Risk of Dementia: A Prospective Cohort Study. Neurology 2022; 99:e1056-e1066. [PMID: 36219796 DOI: 10.1212/wnl.0000000000200871] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 05/05/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES There has been a growing body of evidence associating consumption of ultraprocessed foods (UPF) with adverse health outcomes including depression, cardiovascular disease, and all-cause mortality. However, whether UPF are associated with dementia is unknown. The authors investigated the associations between UPF and dementia incidence in the UK Biobank. METHODS We included 72,083 participants (55 years or older) who were free from dementia at baseline and provided at least 2 times 24-hour dietary assessments from the UK Biobank study. Follow-up occurred through March 2021. UPF were defined according to the NOVA classification. Incident all-cause dementia comprising Alzheimer disease (AD) and vascular dementia was ascertained through electronic linkages to hospital and mortality records. Cox proportional hazards were used to estimate the association between the proportion (%) of UPF in the diet and the subsequent risk of dementia. In addition, substitution analysis was used to estimate the risk of dementia when substituting UPF with an equivalent proportion of unprocessed or minimally processed foods. RESULTS During a total of 717,333 person-years of follow-up (median 10.0 years), 518 participants developed dementia, of whom 287 developed AD and 119 developed vascular dementia. In the fully adjusted model, consumption of UPF was associated with higher risk of dementia (hazard ratio [HR] for 10% increase in UPF 1.25; 95% CI 1.14-1.37), AD (HR 1.14; 95% CI 1.00-1.30), and vascular dementia (HR 1.28; 95% CI 1.06-1.55), respectively. In addition, replacing 10% of UPF weight in diet with an equivalent proportion of unprocessed or minimally processed foods was estimated to be associated with a 19% lower risk of dementia (HR 0.81; 95% CI 0.74-0.89). DISCUSSION In this prospective cohort study, higher consumption of UPF was associated with higher risk of dementia, whereas substituting unprocessed or minimally processed foods for UPF was associated with lower risk of dementia.
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Affiliation(s)
- Huiping Li
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Shu Li
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Hongxi Yang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yuan Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Shunming Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yue Ma
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yabing Hou
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Xinyu Zhang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Kaijun Niu
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yan Borné
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden
| | - Yaogang Wang
- From the School of Public Health (H.L., H.Y., Y.Z., S.Z., Y.M., Y.H., X.Z., K.N., Y.W.), Tianjin Medical University; School of Management (S.L.), Tianjin University of Traditional Chinese Medicine; and Department of Clinical Sciences in Malmö (Y.B.), Lund University, Sweden.
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Yisahak SF, Hinkle SN, Mumford SL, Gleason JL, Grantz KL, Zhang C, Grewal J. Periconceptional and First Trimester Ultraprocessed Food Intake and Maternal Cardiometabolic Outcomes. Diabetes Care 2022; 45:2028-2036. [PMID: 35852359 PMCID: PMC9472493 DOI: 10.2337/dc21-2270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 06/12/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Ultraprocessed foods (UPFs) have been linked with obesity and cardiometabolic diseases in the general population but are understudied in pregnancy. We examined associations of UPF intake with gestational weight gain (GWG), glycemic, and blood pressure outcomes in pregnancy. RESEARCH DESIGN AND METHODS Pregnant women (n = 1,948) in a prospective U.S. cohort self-reported the past 3-month diet using a food frequency questionnaire (FFQ) at 8-13 weeks of gestation. The intake quantity (g/day) of foods and beverages identified as UPFs was ranked into quartiles. Associations of UPFs were evaluated, after adjusting for confounders, with 2nd and 3rd trimester Institute of Medicine (IOM) GWG categories, gestational diabetes mellitus (GDM), and hypertensive disorders of pregnancy (GHTN). Secondary outcomes included GWG rate, glucose challenge test 1-h glucose, and blood pressure trajectories from linear mixed models. RESULTS A total of 492 (25.2%) and 699 women (35.9%) had 2nd and 3rd trimester excessive GWG, respectively, and 85 women (4.4%) had GDM and 63 (3.2%) had severe hypertension or preeclampsia. UPF intake was not associated with higher odds of excessive GWG (quartile 4 vs. 1: adjusted odds ratio 0.68 [95% CI 0.44, 1.05], P-trend = 0.10 for 2nd trimester) or GDM risk (quartile 4 vs. 1: adjusted risk ratio 0.99 [95% CI 0.46, 2.11], P-trend = 0.85). Although UPF intake was positively associated with minor differences blood pressure trajectories, associations with GHTN were null. CONCLUSIONS The expected unfavorable association of higher UPF intake with excessive GWG, GDM, and GHTN was not observed in our cohort of low-risk pregnant women. These results are based on a limited sample size and require replication.
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Affiliation(s)
- Samrawit F. Yisahak
- Office of the Director, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Stefanie N. Hinkle
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sunni L. Mumford
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jessica L. Gleason
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Katherine L. Grantz
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Cuilin Zhang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality, National University of Singapore, Singapore
| | - Jagteshwar Grewal
- Office of the Director, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
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Cousin E, Schmidt MI, Ong KL, Lozano R, Afshin A, Abushouk AI, Agarwal G, Agudelo-Botero M, Al-Aly Z, Alcalde-Rabanal JE, Alvis-Guzman N, Alvis-Zakzuk NJ, Antony B, Asaad M, Bärnighausen TW, Basu S, Bensenor IM, Butt ZA, Campos-Nonato IR, Chattu VK, Criqui MH, Daneshpajouhnejad P, Dávila-Cervantes CA, Denova-Gutiérrez E, Dharmaratne SD, Diaz D, Filip I, Gad MM, Garcia-Gordillo MA, Ghasemi Assl S, Gopalani SV, Guimarães RA, Gupta RD, Hafezi-Nejad N, Hashemian M, Hay SI, Kahlon T, Khubchandani J, Kimokoti RW, Kisa A, Kuate Defo B, Landires I, Miller TR, Mokdad AH, Morales L, Morrison SD, Nigatu YT, Nuñez-Samudio V, Olagunju AT, Pandi-Perumal SR, Patel UK, Radfar A, Rios-Blancas M, Roever L, Saadatagah S, Sanabria J, Santos IS, Sathish T, Shabani M, Shafaat O, Sheikhbahaei S, Silva DAS, Singh A, Singh JA, Tovani-Palone MR, Velazquez DZ, Zadey S, Naghavi M, Vos T, Duncan BB. Burden of diabetes and hyperglycaemia in adults in the Americas, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Diabetes Endocrinol 2022; 10:655-667. [PMID: 35850129 PMCID: PMC9399220 DOI: 10.1016/s2213-8587(22)00186-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 05/19/2022] [Accepted: 05/27/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND High prevalence of diabetes has been reported in the Americas, but no comprehensive analysis of diabetes burden and related factors for the region is available. We aimed to describe the burden of type 1 and type 2 diabetes and that of hyperglycaemia in the Americas from 1990 to 2019. METHODS We used estimates from GBD 2019 to evaluate the burden of diabetes in adults aged 20 years or older and high fasting plasma glucose in adults aged 25 years or older in the 39 countries and territories of the six regions in the Americas from 1990 to 2019. The main source to estimate the mortality attributable to diabetes and to chronic kidney disease due to diabetes was vital registration. Mortality due to overall diabetes (ie, diabetes and diabetes due to chronic kidney disease) was estimated using the Cause of Death Ensemble model. Years of life lost (YLLs) were calculated as the number of deaths multiplied by standard life expectancy at the age that the death occurred, years lived with disability (YLDs) were estimated based on the prevalence and severity of complications of diabetes. Disability-adjusted life-years (DALYs) were estimated as a sum of YLDs and YLLs. We assessed the association of diabetes burden with the level of development of a country (according to the Socio-demographic Index), health-care access and quality (estimated with the Healthcare Access and Quality Index), and diabetes prevalence. We also calculated the population attributable fraction (PAF) of diabetes burden due to each of its risk factors. We report the 95% uncertainty intervals for all estimates. FINDINGS In 2019, an estimated total of 409 000 (95% uncertainty interval 373 000-443 000) adults aged 20 years or older in the Americas died from diabetes, which represented 5·9% of all deaths. Diabetes was responsible for 2266 (1930-2649) crude DALYs per 100 000 adults in the Americas, and high fasting plasma glucose for 4401 DALYs (3685-5265) per 100 000 adults, with large variation across regions. DALYs were mostly due to type 2 diabetes and distribution was heterogeneous, being highest in central Latin America and the Caribbean and lowest in high-income North America and southern Latin America. Between 1990 and 2019, age-standardised DALYs due to type 2 diabetes increased 27·4% (22·0-32·5). This increase was particularly high in Andean Latin America and high-income North America. Burden for both type 1 and type 2 diabetes across countries increased with higher diabetes prevalence and decreased with greater Socio-demographic and Healthcare Access and Quality Indices. Main risk factors for the burden were high BMI, with a PAF of 63·2% and dietary risks, with a PAF of 27·5%. The fraction of burden due to disability has increased since 1990 and now represents nearly half of the overall burden in 2019. INTERPRETATION The burden of diabetes in the Americas is large, increasing, heterogeneous, and expanding. To confront the rising burden, population-based interventions aimed to reduce type 2 diabetes risk and strengthening health systems to provide effective and cost-efficient care for those affected are mandatory. FUNDING Bill & Melinda Gates Foundation.
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147
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Abstract
PURPOSE OF REVIEW The purpose of this review is to provide an update on the available data regarding the associations of Ultra-processed food (UPF) consumption with food intake and possible underlying mechanisms relating UPF consumption to weight gain and co-morbidities. RECENT FINDINGS In primarily observational studies, UPF consumption is consistently associated with an increased risk for weight gain among adults and children and increased risk for adiposity-related co-morbidities in adults. In a single mechanistic study, consumption of UPFs led to increased energy intake and weight gain relative to whole foods. UPFs tend to be more energy-dense than nutrient-dense, and UPF consumption is associated with increased adiposity and co-morbidity risk. These data suggest that recommendations to limit UPF consumption may be beneficial to health - though further mechanistic studies are needed.
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Affiliation(s)
- Anthony Crimarco
- Stanford Prevention Research Center, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Matthew J Landry
- Stanford Prevention Research Center, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Christopher D Gardner
- Stanford Prevention Research Center, School of Medicine, Stanford University, Palo Alto, CA, USA.
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Robert M, Shankland R, Bellicha A, Kesse-Guyot E, Deschasaux-Tanguy M, Andreeva VA, Srour B, Hercberg S, Touvier M, Leys C, Péneau S. Associations between Resilience and Food Intake Are Mediated by Emotional Eating in the NutriNet-Santé Study. J Nutr 2022; 152:1907-1915. [PMID: 35641193 DOI: 10.1093/jn/nxac124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/28/2022] [Accepted: 05/25/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Resilience, the ability to bounce back or recover from stress, has been associated with several health-related behaviors. However, data on food intake and emotional eating are lacking. OBJECTIVES The objective of this cross-sectional study was to analyze the associations between resilience and diet quality and ultraprocessed food (UPF) and food group consumption, and to assess whether emotional eating was a mediator of these associations. METHODS In 2017, 17,840 participants (73.5% female, mean age = 55.4 ± 14.0 y) of the NutriNet-Santé study completed the Brief Resilience Scale, the revised 21-item Three-Factor Eating Questionnaire, and ≥3 self-administered 24-h dietary records. Diet quality was assessed with the modified French National Nutrition and Health Program Guideline Score. Foods and beverages consumed were categorized according to their degree of processing by the NOVA classification. We assessed the association between resilience and emotional eating using linear regression models. We also assessed the mediating role of emotional eating in the associations between resilience and diet quality, energy intake, and UPF and food group consumption, controlling for sociodemographic characteristics. RESULTS In our study, resilience was negatively associated with emotional eating (P < 0.0001). More resilient participants had greater overall diet quality, greater intakes of seafood, whole-grain foods, fats, unsalted oleaginous fruits, and alcoholic beverages, and lower intakes of UPFs, starchy foods, dairy desserts, sugary fatty products, and sugar and confectionery (all P < 0.05). Emotional eating was a mediator of the inverse associations between resilience and intake of energy, UPFs, dairy desserts, sugary fatty products, and of the positive associations between resilience and alcoholic beverages (all P < 0.05), with a 20-70% mediation. CONCLUSIONS Our findings showed that resilience was associated with an overall better diet quality in the NutriNet-Santé population-based study. These associations were partially explained by emotional eating. These findings suggest that resilience should be considered in the promotion of healthy dietary habits.The study is registered at clinicaltrials.gov as #NCT03335644.
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Affiliation(s)
- Margaux Robert
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Rebecca Shankland
- DIPHE Laboratory (Development, Individual, Processus, Handicap, Education), Université Lumière Lyon 2, Lyon, France
| | - Alice Bellicha
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Valentina A Andreeva
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Bernard Srour
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Christophe Leys
- Service of Analysis of the Data (SAD), Université libre de Bruxelles, Brussels, Belgium
| | - Sandrine Péneau
- Sorbonne Paris Nord University, Inserm U1153, INRAE U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
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149
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Zelber-Sagi S, Grinshpan LS, Ivancovsky-Wajcman D, Goldenshluger A, Gepner Y. One size does not fit all; practical, personal tailoring of the diet to NAFLD patients. Liver Int 2022; 42:1731-1750. [PMID: 35675167 DOI: 10.1111/liv.15335] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 02/13/2023]
Abstract
Different dietary regimens for weight loss have developed over the years. Since the most evidenced treatment for non-alcoholic fatty liver disease (NAFLD) is weight reduction, it is not surprising that more diets targeting obesity are also utilized for NAFLD treatment. However, beyond the desired weight loss effects, one should not ignore the dietary composition of each diet, which may not necessarily be healthy or safe over the long term for hepatic and extrahepatic outcomes, especially cardiometabolic outcomes. Some of these diets are rich in saturated fat and red meat, are very strict, and require close medical supervision. Some may also be very difficult to adhere to for long periods, thus reducing the patient's motivation. The evidence for a direct benefit to NAFLD by restrictive diets such as very-low-carb, ketogenic, very-low-calorie diets, and intermittent fasting is scarce, and the long-term safety has not been tested. Nowadays, the approach is that the diet should be tailored to the patient's cultural and personal preferences. There is strong evidence for the independent protective association of NAFLD with a diet based on healthy eating patterns of minimally-processed foods, low in sugar and saturated fat, high in polyphenols, and healthy types of fats. This leads to the conclusion that a Mediterranean diet should serve as a basis that can be restructured into other kinds of diets. This review will elaborate on the different diets and their role in NAFLD. It will provide a practical guide to tailor the diet to the patients without compromising its composition and safety.
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Affiliation(s)
- Shira Zelber-Sagi
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.,Department of Gastroenterology Tel Aviv Medical Center, Tel Aviv, Israel
| | - Laura Sol Grinshpan
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.,Department of Gastroenterology Tel Aviv Medical Center, Tel Aviv, Israel
| | - Dana Ivancovsky-Wajcman
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.,Department of Gastroenterology Tel Aviv Medical Center, Tel Aviv, Israel
| | - Ariela Goldenshluger
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, and Sylvan Adams Sports Institute, Tel-Aviv University, Tel-Aviv, Israel
| | - Yftach Gepner
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, and Sylvan Adams Sports Institute, Tel-Aviv University, Tel-Aviv, Israel
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150
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Rubio-Aliaga I, Krapf R. Phosphate intake, hyperphosphatemia, and kidney function. Pflugers Arch 2022; 474:935-947. [PMID: 35511366 PMCID: PMC9338892 DOI: 10.1007/s00424-022-02691-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 12/25/2022]
Abstract
Phosphate is essential in living organisms and its blood levels are regulated by a complex network involving the kidneys, intestine, parathyroid glands, and the skeleton. The crosstalk between these organs is executed primarily by three hormones, calcitriol, parathyroid hormone, and fibroblast growth factor 23. Largely due to a higher intake of ultraprocessed foods, dietary phosphate intake has increased in the last decades. The average intake is now about twice the recommended dietary allowance. Studies investigating the side effect of chronic high dietary phosphate intake suffer from incomplete dietary phosphate assessment and, therefore, often make data interpretation difficult. Renal excretion is quickly adapted to acute and chronic phosphate intake. However, at the high ends of dietary intake, renal adaptation, even in pre-existing normal kidney function, apparently is not perfect. Experimental intervention studies suggest that chronic excess of dietary phosphate can result in sustained higher blood phosphate leading to hyperphosphatemia. Evidence exists that the price of the homeostatic response (phosphaturia in response to phosphate loading/hyperphosphatemia) is an increased risk for declining kidney function, partly due by intraluminal/tubular calcium phosphate particles that provoke renal inflammation. High dietary phosphate intake and hyperphosphatemia are progression factors for declining kidney function and are associated with higher cardiovascular disease and mortality risk. This is best established for pre-existing chronic kidney disease, but epidemiological and experimental data strongly suggest that this holds true for subjects with normal renal function as well. Here, we review the latest advances in phosphate intake and kidney function decline.
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Affiliation(s)
- Isabel Rubio-Aliaga
- Institute of Physiology, National Center of Competence in Research NCCR Kidney.CH, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
| | - Reto Krapf
- Synlab Suisse, 6002, Lucerne, Switzerland
- Department of Medicine, University of Basel, 4056, Basel, Switzerland
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