Modifying effect of metabotype on diet–diabetes associations

Anna Riedl, Nina Wawro, Christian Gieger, Christa Meisinger, Annette Peters, Wolfgang Rathmann, Wolfgang Koenig, Konstantin Strauch, Anne S. Quante, Barbara Thorand, Cornelia Huth, Hannelore Daniel, Hans Hauner, Jakob Linseisen

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1357-1369
Number of pages13
JournalEuropean Journal of Nutrition
Volume59
Issue number4
DOIs
StatePublished - 1 Jun 2020

Keywords

  • Diabetes
  • Diet
  • Metabolic phenotype
  • Metabotype
  • enable-Cluster

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