Association Between Habitual Dietary Intake and Urinary Metabolites in Adults-Results of a Population-Based Study.

ABSTRACT:

Background

Chronic non-communicable diseases (NCDs) are a major global health challenge, with unhealthy diets contributing significantly to their burden. Metabolomics data offer new possibilities for identifying nutritional biomarkers, as demonstrated in short-term intervention studies. This study investigated associations between habitual dietary intake and urinary metabolites, a not well-studied area.

Methods

Data were available from 496 participants of the population-based MEIA study. Linear and median regression models examined associations between habitual dietary intake and metabolites, adjusted for possible confounders. K-means clustering identified urinary metabolite clusters, and multinomial regression models were applied to analyze associations between food intake

SUBMITTER: Blumlhuber A 

PROVIDER: S-EPMC12297984 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature