Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies

Autor: Jannasch, Franziska, Dietrich, Stefan, Bishop, Tom RP, Pearce, Matthew, Fanidi, Anouar, O'Donoghue, Gráinne, O'Gorman, Donal, Marques-Vidal, Pedro, Vollenweider, Peter, Bes-Rastrollo, Maira, Byberg, Liisa, Wolk, Alicja, Hashemian, Maryam, Malekzadeh, Reza, Poustchi, Hossein, Luft, Vivian C, De Matos, Sheila M Alvim, Kim, Jihye, Kim, Mi Kyung, Kim, Yeonjung, Stern, Dalia, Lajous, Martin, Magliano, Dianna J, Shaw, Jonathan E, Akbaraly, Tasnime, Kivimaki, Mika, Maskarinec, Gertraud, Le Marchand, Loïc, Martínez-González, Miguel Ángel, Soedamah-Muthu, Sabita S, EPIC-InterAct Consortium, Wareham, Nicholas J, Forouhi, Nita G, Schulze, Matthias B
Přispěvatelé: Medical and Clinical Psychology, Jannasch, Franziska [0000-0003-3478-4758], Apollo - University of Cambridge Repository, EPIC-InterAct Consortium, University of Cambridge [UK] (CAM), Université de Lausanne = University of Lausanne (UNIL), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, G03/140, PI10/02293, PI10/02658, PI13/00615, PI14/01668, PI14/01764, PI14/01798, PI17/01795, PI20/00564, PNSD-2020/021, LSHM_CT_2006_037197, 82DZD00302, 122/2014, 27/2011, 45/2011, PNSD 2020/2021, FKZ: 01EA1806A, National Institutes of Health, NIH: R01AG056477, RF1AG062553, U01 CA164973, National Cancer Institute, NCI, American Institute for Cancer Research, AICR: 05B047, GlaxoSmithKline, GSK, Centre International de Recherche sur le Cancer, CIRC, Wellcome Trust, WT: 221854/Z/20/Z, Horizon 2020 Framework Programme, H2020: 824989, Seventh Framework Programme, FP7: 602068, Manchester Biomedical Research Centre, BRC: IS-BRC-1215-20014, Medical Research Council, MRC: MC_UU_00006/1and MC_UU_00006/3, Cancer Research UK, CRUK: C20/A5860, National Research Foundation, NRF, Department of Science and Technology, Ministry of Science and Technology, India, डीएसटी, Deutsche Forschungsgemeinschaft, DFG: 491394008, NFDI 13/1, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF: 33CS30-139468, 33CS30-148401, 33CS30_177535/1, 33CSCO-122661, MRCMR/R024227/1, Bundesministerium für Bildung und Forschung, BMBF, Consejo Nacional de Ciencia y Tecnología, CONACYT: S0008-2009-1: 000000000115312, Kementerian Sains, Teknologi dan Inovasi, MOSTI, Nederlandse Zuivel Organisatie, NZO, Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, Ministry of Science, ICT and Future Planning, MSIP: NRF-2017M3C9A6047623, Ministry of Health and Welfare, MOHW: 4845-301, 4851-302, Korea Centers for Disease Control and Prevention, KCDC, Seconda Università degli Studi di Napoli, SUN, Vetenskapsrådet, VR: 2017–00644, Universidad de Navarra, Tehran University of Medical Sciences and Health Services, TUMS: 81/15, Financiadora de Estudos e Projetos, FINEP: 01 06 0010.00, 01 06 0071.00, 01 06 0115.00, 01 06 0300.00, Ministério da Saúde, Mejeribrugets ForskningsFond, MFF, European Regional Development Fund, ERDF: RD 06/0045, Open Access funding enabled and organized by Projekt DEAL. The InterConnect project is funded by the European Union’s Seventh Framework Programme (grant number 602068). FJ and MBS acknowledge funding from the German Federal Ministry of Education and Research and the State of Brandenburg to the German Center for Diabetes Research (DZD) (82DZD00302). Furthermore, this work was supported by the NutriAct – Competence Cluster Nutrition Research Berlin-Potsdam funded by the German Federal Ministry of Education and Research (FKZ: 01EA1806A). This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 491394008. This work was done as part of the NFDI4Health Consortium ( www.nfdi4health.de ). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – NFDI 13/1. NJW and NGF acknowledge funding from the Medical Research Council Epidemiology Unit (MC_UU_00006/1and MC_UU_00006/3) and NIHR Biomedical Research Centre Cambridge: Nutrition, Diet, and Lifestyle Research Theme (IS-BRC-1215-20014). NGF is an NIHR Senior Investigator (G111539). TB acknowledges funding from EUCAN-Connect under the European Union’s Horizon 2020 research and innovation programme (grant agreement number 824989). The InterAct project was funded by the EU FP6 programme (grant number LSHM_CT_2006_037197). MBR and MAMG acknowledge that the SUN Project has received funding from the Spanish Government-Instituto de Salud Carlos III, and the European Regional Development Fund (FEDER) (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564 and G03/140), PNSD-2020/021, the Navarra Regional Government (27/2011, 45/2011, 122/2014), PNSD 2020/2021, and the University of Navarra. LB and AW acknowledge that the COSM and SMC are part of the Swedish Infrastructure for Medical Population-Based Life-Course and Environmental Research, SIMPLER. SIMPLER receives funding through the Swedish Research Council (grant no 2017–00644). RM acknowledges funding from the Tehran University of Medical Sciences (grant number: 81/15), Cancer Research UK (grant number: C20/A5860), the Intramural Research Program of the U.S. National Cancer Institute, NIH, and the International Agency for Research on Cancer. SMAM and VCL acknowledge that ELSA-Brasil was supported by the Brazilian Ministry of Health (Department of Science and Technology) and Ministry of Science, Technology and Innovation (Financiadora de Estudos e Projetos (FINEP), grant numbers 01 06 0010.00, 01 06 0212.00, 01 06 0300.00, 01 06 0278.00, 01 06 0115.00 and 01 06 0071.00) and the National Council for Scientific and Technological Development (CNPq). JK acknowledges funding from the Korea Centers for Disease Control and Prevention, Ministry for Health and Welfare, Republic of Korea (4845-301 and 4851-302), and the Collaborative Genome Program for Fostering New Post-Genome Industry of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (NRF-2017M3C9A6047623). DS and ML acknowledge that this work of MTC was supported by the American Institute for Cancer Research (grant number 05B047) and the Consejo Nacional de Ciencia y Tecnología (CONACyT) (grant number S0008-2009-1: 000000000115312). LLM acknowledges funding from the US National Institutes of Health grant U01 CA164973, SSSM received the Wiebe Visser International Dairy Nutrition Prize and has received recent research funding (2019) for epidemiological studies on dairy products and cardiometabolic diseases from the Dutch Dairy Association and the Danish Dairy Research Foundation. PMV and PV acknowledge funding from GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, and the Swiss National Science Foundation (grants 33CSCO-122661, 33CS30-139468, 33CS30-148401 and 33CS30_177535/1). MK and the Whitehall II study were supported by the UK Medical Research Council (MRCMR/R024227/1), the Wellcome Trust (221854/Z/20/Z) and the US National Institutes of Health (NIH, RF1AG062553, R01AG056477), during the conduct of the study. The funding sources did not participate in the design or conduct of the study, collection, management, analysis, or interpretation of the data, or preparation, review, or approval of the manuscript., We would like to thank the participants, principal investigators, and study teams of the individual cohorts included in this collaboration. The work presented herein was made possible using the OBiBa suite (http://www.obiba.org), a software suite developed by Maelstrom Research (www.maelstrom-research.org), and DataSHIELD (http://www.datashield.ac.uk), a software suite developed by the Data to Knowledge (D2K) Research Group. We thank EPIC-InterAct collaborators and Nicola Kerrison at the MRC Epidemiology Unit for assistance relating to the EPIC-InterAct dataset. We also thank the AusDiab Steering Committee for providing data from the AusDiab study. Moreover, we thank the NIH Biologic Specimen and Data Repository Information Coordinating Center and the ARIC, CARDIA, MESA, PRHHP and WHI OS study for providing data for this study., HAL UVSQ, Équipe
Rok vydání: 2022
Předmět:
endocrine system diseases
Federated meta-analysis
Medicine (miscellaneous)
BLOOD-PRESSURE
Endocrinology and Diabetes
PROFILE
Cohort Studies
Type 2 diabetes mellitus
Exploratory
Dietary patterns
DESIGN
Risk Factors
Humans
Prospective Studies
POPULATION
[SDV.MHEP.EM] Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism
RISK
Diabetes Mellitus
Type 2/epidemiology
Diabetes Mellitus
Type 2/etiology
Diet
Incidence
Nutrition and Dietetics
OBJECTIVES
nutritional and metabolic diseases
CONSUMPTION
[SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism
Näringslära
[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition
Diabetes Mellitus
Type 2
ATHEROSCLEROSIS
[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie
Endokrinologi och diabetes
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
LIFE-STYLE
HEALTH
[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Zdroj: European Journal of Nutrition, 61(7), 3649-3667. D. Steinkopff-Verlag
European journal of nutrition, vol. 61, no. 7, pp. 3649-3667
European journal of nutrition
European Journal of Nutrition
European Journal of Nutrition, 2022, 61 (7), pp.3649-3667. ⟨10.1007/s00394-022-02909-9⟩
ISSN: 1436-6215
1436-6207
DOI: 10.1007/s00394-022-02909-9
Popis: Funder: Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DIfE) (3440)
PURPOSE: In several studies, exploratory dietary patterns (DP), derived by principal component analysis, were inversely or positively associated with incident type 2 diabetes (T2D). However, findings remained study-specific, inconsistent and rarely replicated. This study aimed to investigate the associations between DPs and T2D in multiple cohorts across the world. METHODS: This federated meta-analysis of individual participant data was based on 25 prospective cohort studies from 5 continents including a total of 390,664 participants with a follow-up for T2D (3.8-25.0 years). After data harmonization across cohorts we evaluated 15 previously identified T2D-related DPs for association with incident T2D estimating pooled incidence rate ratios (IRR) and confidence intervals (CI) by Piecewise Poisson regression and random-effects meta-analysis. RESULTS: 29,386 participants developed T2D during follow-up. Five DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, were associated with higher incidence of T2D. The strongest association was observed for a DP comprising these food groups besides others (IRRpooled per 1 SD = 1.104, 95% CI 1.059-1.151). Although heterogeneity was present (I2 = 85%), IRR exceeded 1 in 18 of the 20 meta-analyzed studies. Original DPs associated with lower T2D risk were not confirmed. Instead, a healthy DP (HDP1) was associated with higher T2D risk (IRRpooled per 1 SD = 1.057, 95% CI 1.027-1.088). CONCLUSION: Our findings from various cohorts revealed positive associations for several DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, adding to the evidence-base that links DPs to higher T2D risk. However, no inverse DP-T2D associations were confirmed.
Databáze: OpenAIRE
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