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ABSTRACT: Background
The relationship between mixed metal exposure and metabolic syndrome (MetS) remains controversial, and the underlying mechanisms of this relationship are not yet fully understood.Objective
We evaluated the association between urinary metals and MetS and investigated the potential mediating effect of ageing.Methods
This study utilized National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018 and included 11,541 adults aged 20 years and above. We explored the association between urinary concentrations of nine metals and MetS using weighted quantile sum (WQS) regression, grouped weighted quantile sum (GWQS) regression, and Bayesian kernel machine regression (BKMR). In addition, various methodologies have been used to assess biological
SUBMITTER: Zheng L
PROVIDER: S-EPMC12168376 | biostudies-literature | 2025 Jun
REPOSITORIES: biostudies-literature