Differential associations between diet and prediabetes or diabetes in the KORA FF4 study.

Autor:	Breuninger TA; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Ludwig-Maximilians-Universität München, Chair of Epidemiology, UNIKA-T Augsburg, Neusässer Str. 47, 86156 Augsburg, Germany., Riedl A; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Ludwig-Maximilians-Universität München, Chair of Epidemiology, UNIKA-T Augsburg, Neusässer Str. 47, 86156 Augsburg, Germany., Wawro N; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Ludwig-Maximilians-Universität München, Chair of Epidemiology, UNIKA-T Augsburg, Neusässer Str. 47, 86156 Augsburg, Germany., Rathmann W; Deutsches Diabetes-Zentrum (DDZ), Institute for Biometrics and Epidemiology, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany., Strauch K; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Genetic Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Ludwig-Maximilians-Universität München, Chair of Genetic Epidemiology, IBE, Faculty of Medicine, 81377 Munich, Germany., Quante A; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Genetic Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Ludwig-Maximilians-Universität München, Chair of Genetic Epidemiology, IBE, Faculty of Medicine, 81377 Munich, Germany., Peters A; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany., Thorand B; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany., Meisinger C; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Ludwig-Maximilians-Universität München, Chair of Epidemiology, UNIKA-T Augsburg, Neusässer Str. 47, 86156 Augsburg, Germany., Linseisen J; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Independent Research Unit Clinical Epidemiology, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology II, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.; Ludwig-Maximilians-Universität München, Chair of Epidemiology, UNIKA-T Augsburg, Neusässer Str. 47, 86156 Augsburg, Germany.; ZIEL - Institute for Food and Health, Technical University of Munich, Weihenstephaner Berg 1, 85354 Freising, Germany.
Jazyk:	angličtina
Zdroj:	Journal of nutritional science [J Nutr Sci] 2018 Dec 27; Vol. 7, pp. e34. Date of Electronic Publication: 2018 Dec 27 (Print Publication: 2018).
DOI:	10.1017/jns.2018.25
Abstrakt:	Type 2 diabetes mellitus (T2DM) is a global public health epidemic. Diet and lifestyle changes have been demonstrated as effective measures in managing T2DM and preventing or delaying the progression from prediabetes to diabetes, yet the relationship between diet, prediabetes and diabetes is still not entirely clear. The present study aimed to further elucidate the relationship between diet, diabetes and especially prediabetes. A total of 1542 participants of the cross-sectional, population-based Cooperative Health Research in the Region of Augsburg (KORA) FF4 study (2013/2014) were included in this analysis. Dietary intake was derived using a method combining information from a FFQ and repeated 24-h food lists. Glucose tolerance status was assessed via oral glucose tolerance tests in all participants without a previous physician-confirmed diagnosis of T2DM, and was classified according to the 2003 American Diabetes Association criteria. Crude and fully adjusted multinomial logistic regression models were fitted to examine associations between diet and prediabetes, undetected diabetes mellitus (UDM) and prevalent T2DM. After adjusting for major covariates, fruit was significantly inversely and total meat, processed meat, sugar-sweetened beverages and moderate alcohol significantly associated with UDM and/or prevalent diabetes. Sex-specific analyses showed that in men, coffee was significantly inversely (OR 0·80; 95 % CI 0·67, 0·96) and heavy alcohol significantly (OR 1·84; 95 % CI 1·14, 2·95) associated with prediabetes. Our findings on diet and T2DM are consistent with current literature, while our results regarding coffee, heavy alcohol consumption and prediabetes highlight new possible targets for primary prevention of the derangement of glucose homeostasis.
Databáze:	MEDLINE
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