Ontology highlight
ABSTRACT: Background
Metal and metalloid exposure has been linked to various health impairments; however, its association with Cardiovascular-Kidney-Metabolic (CKM) syndrome has not been systematically investigated. This study aims to evaluate this relationship.Methods
This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999-2018. Urinary concentrations of nine metal and metalloid species (barium, cadmium, cobalt, cesium, molybdenum, lead, antimony, thallium, and tungsten) were examined. Weighted multinomial logistic regression was used to assess associations between individual metals and CKM syndrome stages. Additionally, mixture models including quantile g-computation (Qgcomp), weighted quantile sum (WQS), and Bayesia
SUBMITTER: Zhang S
PROVIDER: S-EPMC12817408 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature