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Oono F, Murakami K, Shinozaki N, Kimoto N, Masayasu S, Sasaki S. Relative validity of three diet quality scores derived from the Brief-type Self-administered Diet History Questionnaire and Meal-based Diet History Questionnaire in Japanese adults. Br J Nutr 2024; 132:1663-1673. [PMID: 39529292 PMCID: PMC11695110 DOI: 10.1017/s0007114524002058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 06/19/2024] [Accepted: 07/12/2024] [Indexed: 11/16/2024]
Abstract
No study has validated questionnaires for assessing easily calculable diet quality scores in Japan. The Brief-type self-administered Diet History Questionnaire (BDHQ) is widely used to assess dietary intake in Japan, while the Meal-based Diet History Questionnaire (MDHQ) assesses dietary intake for each meal (breakfast, lunch, dinner and snacks) and overall dietary intake. This study examined the relative validity of the BDHQ and MDHQ for assessing three diet quality scores in Japanese adults. A total of 111 women and 111 men aged 30-76 years completed the web MDHQ and BDHQ, followed by 4-non-consective-day weighed dietary records. The diet quality scores examined included the Diet Quality Score for Japanese (DQSJ), Dietary Approaches to Stop Hypertension (DASH) score and Alternate Mediterranean Diet (AMED) score. The means of the three scores for overall diet from the BDHQ were not significantly different from those from the dietary records in both sexes, whereas those from the MDHQ were higher than those from the dietary records, except for the DASH and AMED in women. Pearson's correlation coefficients between both questionnaires and dietary records were 0·57-0·63 for DQSJ, 0·49-0·57 for DASH and 0·31-0·49 for AMED across both sexes and both questionnaires. For each meal, Pearson's correlation coefficients between the MDHQ and dietary records ranged from 0·01 (DASH for snacks in women) to 0·55 (DQSJ for breakfast in men), with a median of 0·35. This study showed that the ability of the BDHQ and MDHQ to rank individuals was good for DQSJ and DASH and acceptable for AMED.
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Affiliation(s)
- Fumi Oono
- Department of Social and Preventive Epidemiology, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Kentaro Murakami
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo113-0033, Japan
| | - Nana Shinozaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo113-0033, Japan
| | - Nana Kimoto
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo113-0033, Japan
| | | | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo113-0033, Japan
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Jannasch F, Nickel DV, Kuxhaus O, Schulze MB. Longitudinally changed diet quality scores and their association with type 2 diabetes mellitus and cardiovascular diseases in the EPIC-Potsdam study. Sci Rep 2024; 14:13907. [PMID: 38886373 PMCID: PMC11183239 DOI: 10.1038/s41598-024-63899-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 06/03/2024] [Indexed: 06/20/2024] Open
Abstract
Association analyses between longitudinal changes in diet quality scores (DQIs) and cardiometabolic risk remain scarce. Hence, we aimed to investigate how changes in two DQIs are associated with incident type 2 diabetes (T2D), myocardial infarction (MI) and stroke in the EPIC-Potsdam study. Changes in the Mediterranean Pyramid Score (MedPyr) and Healthy Diet Score (HDS) over 7 years from baseline (1994-1998) to follow-up 3 (2001-2005) were investigated in 23,548 middle-aged participants. Adjusted Cox Proportional Hazards Regression models were applied to investigate associations between changes in MedPyr and HDS and chronic disease incidence. More than 60% of the participants increased both DQIs more than 5%. Within a median follow-up time of 5 years 568 cases of T2D, 171 of MI, 189 of stroke were verified. An increased compared to stable MedPyr was associated with lower T2D risk (HR 0.74; 95% CI 0.59-0.92), while a decreased MedPyr was associated with higher stroke risk (HR 1.67; 95% CI 1.02-2.72). A decreased compared to stable HDS was associated with higher stroke risk (HR 1.80; 95% CI 1.02-3.20). The findings contribute further evidence on advantages of changing dietary intake towards a Mediterranean Diet. Although baseline HDS adherence was associated with T2D and stroke risk, longitudinal changes in HDS were only significantly associated with stroke risk.
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Affiliation(s)
- Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany.
- NutriAct Competence Cluster for Nutrition Research, Berlin-Potsdam, Germany.
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
| | - Daniela V Nickel
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- NutriAct Competence Cluster for Nutrition Research, Berlin-Potsdam, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558, Nuthetal, Germany
- NutriAct Competence Cluster for Nutrition Research, Berlin-Potsdam, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
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3
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Peterson L, Lee H, Huybrechts I, Biessy C, Neuhouser ML, Haaland B, Krick B, Gunter M, Schulze MB, Jannasch F, Coletta AM, Hardikar S, Chaix A, Bauer CX, Xiao Q, Playdon MC. Reliability estimates for assessing meal timing derived from longitudinal repeated 24-hour dietary recalls. Am J Clin Nutr 2023; 117:964-975. [PMID: 36921904 PMCID: PMC10206325 DOI: 10.1016/j.ajcnut.2023.02.026] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 02/17/2023] [Accepted: 02/27/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Regulating meal timing may have efficacy for improving metabolic health for preventing or managing chronic disease. However, the reliability of measuring meal timing with commonly used dietary assessment tools needs characterization prior to investigating meal timing and health outcomes in epidemiologic studies. OBJECTIVES To evaluate the reliability of estimating meal timing parameters, including overnight fasting duration, the midpoint of overnight fasting time, the number of daily eating episodes, the period with the largest percentage of daily caloric intake, and late last eating episode (> 09:00 pm) from repeated 24-h dietary recalls (24HRs). METHODS Intraclass correlation coefficients (ICC), Light's Kappa estimates, and 95% CIs were calculated from repeated 24HR administered in 3 epidemiologic studies: The United States-based Interactive Diet and Activity Tracking in AARP (IDATA) study (n = 996, 6 24HR collected over 12-mo), German EPIC-Potsdam Validation Study (European Prospective Investigation into Cancer and Nutrition Potsdam Germany cohort) (n = 134, 12 24HR collected over 12-mo) and EPIC-Potsdam BMBF-II Study (Federal Ministry of Education and Research, "Bundesministerium für Bildung und Forschung") (n = 725, 4 24HR collected over 36 mo). RESULTS Measurement reliability of overnight fasting duration based on a single 24HR was "poor" in all studies [ICC range: 0.27; 95% CI: 0.23, 0.32 - 0.46; 95% CI: 0.43, 0.50]. Reliability was "moderate" with 3 24HR (ICC range: 0.53; 95% CI: 0.47, 0.58 in IDATA, 0.62; 95% CI: 0.52, 0.69 in the EPIC-Potsdam Validation Study, and 0.72; 95% CI: 0.70-0.75 in the EPIC-Potsdam BMBF-II Study). Results were similar for the midpoint of overnight fasting time and the number of eating episodes. Reliability of measuring late eating was "fair" in IDATA (Light's Kappa: 0.30; 95% CI: 0.21, 0.39) and "slight" in the EPIC-Potsdam Validation study and the EPIC-Potsdam BMBF-II study (Light's Kappa: 0.19; 95% CI: 0.15, 0.25 and 0.09; 95% CI: 0.06, 0.12, respectively). Reliability estimates differed by sex, BMI, weekday, and season of 24HR administration in some studies. CONCLUSIONS Our results show that ≥ 3 24HR over a 1-3-y period are required for reliable estimates of meal timing variables.
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Affiliation(s)
- Lacie Peterson
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Department Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Hyejung Lee
- Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Inge Huybrechts
- International Agency for Research on Cancer, WHO, Lyon, France
| | - Carine Biessy
- International Agency for Research on Cancer, WHO, Lyon, France
| | - Marian L Neuhouser
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Benjamin Haaland
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Benjamin Krick
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Marc Gunter
- International Agency for Research on Cancer, WHO, Lyon, France
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany; NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany; NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Adriana M Coletta
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States; Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States
| | - Sheetal Hardikar
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Amandine Chaix
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States; Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States
| | - Cici X Bauer
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Qian Xiao
- Department of Epidemiology, Human Genetics, and Environmental Science, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Mary C Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States.
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A New Evidence-Based Diet Score to Capture Associations of Food Consumption and Chronic Disease Risk. Nutrients 2022; 14:nu14112359. [PMID: 35684159 PMCID: PMC9182661 DOI: 10.3390/nu14112359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/29/2022] [Accepted: 06/02/2022] [Indexed: 12/03/2022] Open
Abstract
Previously, the attempt to compile German dietary guidelines into a diet score was predominantly not successful with regards to preventing chronic diseases in the EPIC-Potsdam study. Current guidelines were supplemented by the latest evidence from systematic reviews and expert papers published between 2010 and 2020 on the prevention potential of food groups on chronic diseases such as type 2 diabetes, cardiovascular diseases and cancer. A diet score was developed by scoring the food groups according to a recommended low, moderate or high intake. The relative validity and reliability of the diet score, assessed by a food frequency questionnaire, was investigated. The consideration of current evidence resulted in 10 key food groups being preventive of the chronic diseases of interest. They served as components in the diet score and were scored from 0 to 1 point, depending on their recommended intake, resulting in a maximum of 10 points. Both the reliability (r = 0.53) and relative validity (r = 0.43) were deemed sufficient to consider the diet score as a stable construct in future investigations. This new diet score can be a promising tool to investigate dietary intake in etiological research by concentrating on 10 key dietary determinants with evidence-based prevention potential for chronic diseases.
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5
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Yue Y, Yuan C, Wang DD, Wang M, Song M, Shan Z, Hu F, Rosner B, Smith-Warner SA, Willett WC. Reproducibility and validity of diet quality scores derived from food-frequency questionnaires. Am J Clin Nutr 2021; 115:843-853. [PMID: 34788377 PMCID: PMC8895225 DOI: 10.1093/ajcn/nqab368] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/01/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Diet quality scores (DQSs) are frequently used to study diet-disease relations but the validity of these scores derived from FFQs has rarely been evaluated. OBJECTIVES To evaluate the validity and reproducibility of 6 commonly used DQSs derived from the FFQ, including the Alternate Healthy Eating Index-2010, Dietary Approaches to Stop Hypertension Trial score, alternative Mediterranean diet score, and 3 plant-based diet indices (overall, healthful, and unhealthful). METHODS This analysis included 1394 participants from the Men's Lifestyle Validation Study (N = 652) and the Women's Lifestyle Validation Study (N = 742). Participants completed a 152-item FFQ at the beginning of the study and 1 y later, as well as completed 2 weighed 7-d dietary records (7DDRs) and donated 2 blood samples 6 mo apart between FFQ assessments. The reproducibility of the FFQs was evaluated by rank intraclass correlation coefficients (ICCs). The validity was assessed by comparing FFQ-derived DQSs with those from the average of two 7DDRs using Spearman rank correlation coefficients deattenuated for random measurement error in the 7DDRs (rs). Furthermore, we calculated the correlations between DQSs and plasma biomarkers of diet, including fatty acids, folate, carotenoids, retinol, and α- and γ-tocopherol. RESULTS Six FFQ-derived DQSs demonstrated moderate to high reproducibility (energy-adjusted ICCs: 0.61-0.84) and validity (energy-adjusted, deattenuated rs = 0.56-0.80) in both men and women. We consistently observed expected correlations between FFQ-derived DQSs with plasma fatty acids, including long-chain n-3 (ω-3) and trans fatty acids, most carotenoids, and γ-tocopherol (rs > 0.2). CONCLUSIONS Our study demonstrates the validity of the FFQ to evaluate overall diet quality using 6 commonly used DQSs. In addition, these DQSs have qualitatively demonstrated biological relevance, as indicated by their correlations with circulating biomarkers.
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Affiliation(s)
- Yiyang Yue
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Changzheng Yuan
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA,Department of Big Data and Health Science, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Dong D Wang
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Molin Wang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, 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
| | - Zhilei Shan
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Frank Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Bernard Rosner
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Stephanie A Smith-Warner
- 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
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Pinart M, Nimptsch K, Forslund SK, Schlicht K, Gueimonde M, Brigidi P, Turroni S, Ahrens W, Hebestreit A, Wolters M, Dötsch A, Nöthlings U, Oluwagbemigun K, Cuadrat RRC, Schulze MB, Standl M, Schloter M, De Angelis M, Iozzo P, Guzzardi MA, Vlaemynck G, Penders J, Jonkers DMAE, Stemmer M, Chiesa G, Cavalieri D, De Filippo C, Ercolini D, De Filippis F, Ribet D, Achamrah N, Tavolacci MP, Déchelotte P, Bouwman J, Laudes M, Pischon T. Identification and Characterization of Human Observational Studies in Nutritional Epidemiology on Gut Microbiomics for Joint Data Analysis. Nutrients 2021; 13:3292. [PMID: 34579168 PMCID: PMC8466729 DOI: 10.3390/nu13093292] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/10/2021] [Accepted: 09/17/2021] [Indexed: 01/16/2023] Open
Abstract
In any research field, data access and data integration are major challenges that even large, well-established consortia face. Although data sharing initiatives are increasing, joint data analyses on nutrition and microbiomics in health and disease are still scarce. We aimed to identify observational studies with data on nutrition and gut microbiome composition from the Intestinal Microbiomics (INTIMIC) Knowledge Platform following the findable, accessible, interoperable, and reusable (FAIR) principles. An adapted template from the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) consortium was used to collect microbiome-specific information and other related factors. In total, 23 studies (17 longitudinal and 6 cross-sectional) were identified from Italy (7), Germany (6), Netherlands (3), Spain (2), Belgium (1), and France (1) or multiple countries (3). Of these, 21 studies collected information on both dietary intake (24 h dietary recall, food frequency questionnaire (FFQ), or Food Records) and gut microbiome. All studies collected stool samples. The most often used sequencing platform was Illumina MiSeq, and the preferred hypervariable regions of the 16S rRNA gene were V3-V4 or V4. The combination of datasets will allow for sufficiently powered investigations to increase the knowledge and understanding of the relationship between food and gut microbiome in health and disease.
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Affiliation(s)
- Mariona Pinart
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; (M.P.); (T.P.)
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; (M.P.); (T.P.)
| | - Sofia K. Forslund
- Experimental and Clinical Research Center, A Cooperation of Charité-Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 13125 Berlin, Germany;
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, 10117 Berlin, Germany
- Host-Microbiome Factors in Cardiovascular Disease Lab, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, 10785 Berlin, Germany
- Berlin Institute of Health (BIH), 10178 Berlin, Germany
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Kristina Schlicht
- Institute of Diabetes and Clinical Metabolic Research, University of Kiel, 24105 Kiel, Germany; (K.S.); (M.L.)
| | - Miguel Gueimonde
- Department of Microbiology and Biochemistry of Dairy Products, IPLA-CSIC, 33300 Villaviciosa, Spain;
- Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | - Patrizia Brigidi
- Department of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40138 Bologna, Italy;
| | - Silvia Turroni
- Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy;
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (M.W.)
- Institute of Statistics, Bremen University, 28359 Bremen, Germany
| | - Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (M.W.)
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (M.W.)
| | - Andreas Dötsch
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut (MRI)-Federal Research Institute of Nutrition and Food, 76131 Karlsruhe, Germany;
| | - Ute Nöthlings
- Nutritional Epidemiology Unit, Institute of Nutrition and Food Sciences, University of Bonn, 53115 Bonn, Germany; (U.N.); (K.O.)
| | - Kolade Oluwagbemigun
- Nutritional Epidemiology Unit, Institute of Nutrition and Food Sciences, University of Bonn, 53115 Bonn, Germany; (U.N.); (K.O.)
| | - Rafael R. C. Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany; (R.R.C.C.); (M.B.S.)
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany; (R.R.C.C.); (M.B.S.)
- Institute of Nutritional Science, University of Potsdam, 14558 Potsdam, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany;
| | - Michael Schloter
- Research Unit for Comparative Microbiome Analysis, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764 Neuherberg, Germany;
| | - Maria De Angelis
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, 70126 Bari, Italy;
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy; (P.I.); (M.A.G.)
| | - Maria Angela Guzzardi
- Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy; (P.I.); (M.A.G.)
| | - Geertrui Vlaemynck
- Department Technology and Food, Flanders Research Institute for Agriculture, Fisheries and Food, 9090 Melle, Belgium;
| | - John Penders
- Department of Medical Microbiology, School of Nutrition and Translational Research in Metabolism (NUTRIM) and Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center, 6200 MD Maastricht, The Netherlands;
| | - Daisy M. A. E. Jonkers
- Department of Internal Medicine, Division Gastroenterology-Hepatology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6200 MD Maastricht, The Netherlands;
| | - Maya Stemmer
- Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva P.O. Box 653, Israel;
| | - Giulia Chiesa
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, 20133 Milan, Italy;
| | - Duccio Cavalieri
- Department of Biology, University of Florence, Via Madonna del Piano 6, 50019 Florence, Italy;
| | - Carlotta De Filippo
- Institute of Agricultural Biology and Biotechnology National Research Council, Via Moruzzi 1, 56124 Pisa, Italy;
| | - Danilo Ercolini
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy; (D.E.); (F.D.F.)
- Task Force on Microbiome Studies, University of Naples Federico II, 80134 Naples, Italy
| | - Francesca De Filippis
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy; (D.E.); (F.D.F.)
- Task Force on Microbiome Studies, University of Naples Federico II, 80134 Naples, Italy
| | - David Ribet
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
| | - Najate Achamrah
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
- Department of Nutrition, CHU Rouen, 76000 Rouen, France
| | - Marie-Pierre Tavolacci
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
- INSERM CIC-CRB 1404, CHU Rouen, 76000 Rouen, France
| | - Pierre Déchelotte
- INSERM UMR 1073 “Nutrition, Inflammation and Gut-Brain Axis Dysfunctions”, UNIROUEN, Normandie University, 76000 Rouen, France; (D.R.); (N.A.); (M.-P.T.); (P.D.)
- Department of Nutrition, CHU Rouen, 76000 Rouen, France
| | - Jildau Bouwman
- Microbiology and Systems Biology Group, TNO, Utrechtseweg 48, 3704 HE Zeist, The Netherlands;
| | - Matthias Laudes
- Institute of Diabetes and Clinical Metabolic Research, University of Kiel, 24105 Kiel, Germany; (K.S.); (M.L.)
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; (M.P.); (T.P.)
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, 10117 Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, 10785 Berlin, Germany
- Biobank Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
- Biobank Core Facility, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, 10178 Berlin, Germany
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Schröder H, Zomeño MD, Martínez-González MA, Salas-Salvadó J, Corella D, Vioque J, Romaguera D, Martínez JA, Tinahones FJ, Miranda JL, Estruch R, Bueno-Cavanillas A, Alonso Gómez AM, Tur JA, Warnberg J, Serra-Majem L, Martín V, Vázquez C, Lapetra J, Pintó X, Vidal J, Daimiel L, Gaforio JJ, Matía-Martín P, Ros E, Lassale C, Ruiz-Canela M, Babio N, Sorlí JV, García-Arellano A, Díaz-López A, Fitó M, Castañer O. Validity of the energy-restricted Mediterranean Diet Adherence Screener. Clin Nutr 2021; 40:4971-4979. [PMID: 34364236 DOI: 10.1016/j.clnu.2021.06.030] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 06/11/2021] [Accepted: 06/27/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Short dietary assessment tools can be useful to estimate food intake and diet quality in large-scale epidemiological studies with time constraints. OBJECTIVE To determine the concurrent validity of the 17-item energy-restricted Mediterranean Adherence Screener (er-MEDAS) used in the PREDIMED (PREvención con DIeta MEDiterránea)-Plus trial and to analyse its capacity to detect 1-year changes in diet and cardiometabolic risk factors. METHODS Validation study nested in the PREDIMED-Plus (n = 6760, 55-75 years). Dietary data were collected by the 17-item er-MEDAS and a 143-item validated semiquantitative food frequency questionnaire (FFQ) at baseline and after 1-year intervention. Cardiometabolic risk markers were measured at both time points. A Mediterranean diet (MedDiet) score was derived from both instruments. Concurrent validity was evaluated by Pearson and intra-class correlation coefficients (ICC) and Bland and Altman limits of agreement. Construct validity was evaluated by assessing 1-year changes in FFQ-reported dietary intake and cardiometabolic profile changes in relation to changes in er-MEDAS. RESULTS A moderate to good correlation between the MedDiet score calculated by both measurement instruments was found: r = 0.61 and ICC = 0.60 (both p < 0.001). Agreement of each of the er-MEDAS items ranged from 55.4% to 85.0% with a moderate mean concordance (kappa = 0.41). Between baseline and 1-year follow-up, energy intake measured by the FFQ decreased by 242 kcal, while Mediterranean food consumption increased in participants with the highest increase in the er-MEDAS MedDiet score. An increase in the er-MEDAS MedDiet score ratings was associated with a decrease in BMI, waist circumference, triglycerides, fasting glucose, diastolic blood pressure, and triglycerides/HDL-cholesterol ratio (p < 0.001 for all), and with an increase in HDL-cholesterol (p = 0.006). CONCLUSION The er-MEDAS shows a modest to good concurrent validity compared with FFQ data. It shows acceptable construct validity, as a greater er-MEDAS score was associated with more favourable dietary and cardiometabolic profiles over time. TRIAL REGISTRY ISRCTN89898870; registration date, 24 July 2014. https://www.isrctn.com/ISRCTN89898870.
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Affiliation(s)
- Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Maria Dolors Zomeño
- Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain; Programa de Doctorado en Alimentación y Nutrición, Facultad de Farmacia, Universidad de Barcelona, Barcelona, Spain
| | - Miguel Angel Martínez-González
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 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, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquimica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari de Sant Joan de Reus, 43201, Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiometabolic Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Virgen de La Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - José López Miranda
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada
| | - Angel M Alonso Gómez
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Josep A Tur
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Julia Warnberg
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institute for Biomedical Research, University of Las Palmas de Gran Canarias, 35016, Las Palmas, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Clotilde Vázquez
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - José Lapetra
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 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
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - José Juan Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Camille Lassale
- Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Miguel Ruiz-Canela
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquimica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari de Sant Joan de Reus, 43201, Reus, Spain
| | - José V Sorlí
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ana García-Arellano
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Emergency Department, Complejo Hospitalario de Navarra, Servicio Navarro de Salud-Osaunbidea, Spain
| | - Andrés Díaz-López
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Serra Hunter Fellow, Universitat Rovira I Virgili, Departament de Ciències Mèdiques Bàsiques, Nutrition and Mental Health Research Group (NUTRISAM), Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Montserrat Fitó
- Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Olga Castañer
- Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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Reliability and Concurrent and Construct Validity of a Food Frequency Questionnaire for Pregnant Women at High Risk to Develop Fetal Growth Restriction. Nutrients 2021; 13:nu13051629. [PMID: 34066238 PMCID: PMC8150790 DOI: 10.3390/nu13051629] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 04/30/2021] [Accepted: 05/07/2021] [Indexed: 12/19/2022] Open
Abstract
Accuracy of dietary assessment instruments such as food frequency questionnaire (FFQ) is crucial in the evaluation of diet–disease relationships. Test–retest reliability and concurrent and construct validity of a FFQ were evaluated in 150 pregnant women at high risk to develop fetal growth restriction randomly selected from those included in the improving mothers for better prenatal care trial Barcelona (IMPACT BCN). The FFQ and dietary records were performed at baseline and 34–36 weeks of gestation. Test–retest reliability of the FFQ for 12 food groups and 17 nutrients was moderate (ICC = 0.55) and good (ICC = 0.60), respectively. Concurrent validity between food, nutrients and a composite Mediterranean diet score (MedDiet score) and food records was fair for foods and nutrients (ρ average = 0.38 and 0.32, respectively) and moderate (r = 0.46) for the MedDiet score. Validation with biological markers ranged from poor (r = 0.07) for olives to moderate (r = 0.41) for nuts. A fair concordance between methods were found for nutrients (weighted κ = 0.22) and foods (weighted κ = 0.27). The FFQ-derived MedDiet score correlated in anticipated directions with intakes of nutrients and foods derived by food records. The FFQ showed a moderate test–retest reliability and reasonable validity to rank women according to their food and nutrient consumption and adherence to the Mediterranean diet.
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