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Riedl, A. ; Wawro, N. ; Gieger, C. ; Meisinger, C. ; Peters, A. ; Rathmann, W. ; Koenig, W.* ; Strauch, K. ; Quante, A.S. ; Thorand, B. ; Huth, C. ; Daniel, H.* ; Hauner, H.* ; Linseisen, J.

Modifying effect of metabotype on diet-diabetes associations.

Eur. J. Nutr. 59, 1357-1369 (2020)
Verlagsversion Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Purpose Inter-individual metabolic differences may be a reason for previously inconsistent results in diet-diabetes associations. We aimed to investigate associations between dietary intake and diabetes for metabolically homogeneous subgroups ('metabotypes') in a large cross-sectional study. Methods We used data of 1517 adults aged 38-87 years from the German population-based KORA FF4 study (2013/2014). Dietary intake was estimated based on the combination of a food frequency questionnaire and multiple 24-h food lists. Glucose tolerance status was classified based on an oral glucose tolerance test in participants without a previous diabetes diagnosis using American Diabetes Association criteria. Logistic regression was applied to examine the associations between dietary intake and diabetes for two distinct metabotypes, which were identified based on 16 biochemical and anthropometric parameters. Results A low intake of fruits and a high intake of total meat, processed meat and sugar-sweetened beverages (SSB) were significantly associated with diabetes in the total study population. Stratified by metabotype, associations with diabetes remained significant for intake of total meat (OR 1.67, 95% CI 1.04-2.67) and processed meat (OR 2.23, 95% CI 1.24-4.04) in the metabotypes with rather favorable metabolic characteristics, and for intake of fruits (OR 0.83, 95% CI 0.68-0.99) and SSB (OR:1.21, 95% CI 1.09-1.35) in the more unfavorable metabotype. However, only the association between SSB intake and diabetes differed significantly by metabotype (p value for interaction = 0.01). Conclusions Our findings suggest an influence of metabolic characteristics on diet-diabetes associations, which may help to explain inconsistent previous results. The causality of the observed associations needs to be confirmed in prospective and intervention studies.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Diabetes ; Diet ; Enable-cluster ; Metabolic Phenotype ; Metabotype; Personalized Nutrition; Sweetened Beverages; Metabolic Syndrome; Southern Germany; Meat Consumption; Risk; Prevention; Mellitus; Prevalence; Health
Sprache englisch
Veröffentlichungsjahr 2020
Prepublished im Jahr 2019
HGF-Berichtsjahr 2019
ISSN (print) / ISBN 1436-6207
e-ISSN 1436-6215
Zeitschrift European Journal of Nutrition
Quellenangaben Band: 59, Heft: 4, Seiten: 1357-1369 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Heidelberg
Begutachtungsstatus Peer reviewed
Institut(e) Independent Research Group Clinical Epidemiology (KEPI)
Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
POF Topic(s) 30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
90000 - German Center for Diabetes Research
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-502900-001
G-504000-002
G-504000-006
G-504091-004
G-504100-001
G-501900-401
G-504090-001
DOI 10.1007/s00394-019-01988-5
WOS ID WOS:000533461100006
Scopus ID 85065977920
PubMed ID 31089867
Erfassungsdatum 2019-05-17
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