{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Blumlhuber A"],"funding":["Bavarian Ministry for Food, Agriculture and Forestry"],"pagination":["441"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12297984"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(7)"],"pubmed_abstract":["<h4>Background</h4>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.<h4>Methods</h4>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 "],"journal":["Metabolites"],"pubmed_title":["Association Between Habitual Dietary Intake and Urinary Metabolites in Adults-Results of a Population-Based Study."],"pmcid":["PMC12297984"],"funding_grant_id":["A/19/15"],"pubmed_authors":["Rohm F","Blumlhuber A","Linseisen J","Meisinger C","Wawro N","Freuer D"],"additional_accession":[]},"is_claimable":false,"name":"Association Between Habitual Dietary Intake and Urinary Metabolites in Adults-Results of a Population-Based Study.","description":"<h4>Background</h4>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.<h4>Methods</h4>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 ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2025-08-13T03:04:16.261Z","creation":"2025-08-13T03:04:16.261Z"},"accession":"S-EPMC12297984","cross_references":{"pubmed":["40710542"],"doi":["10.3390/metabo15070441"]}}