Associations of metal mixtures with insulin resistance and glucose homeostasis in U.S. adults from the NHANES 2011-2018.

ABSTRACT: Research on the association of metal mixtures with glucose-insulin homeostasis is limited, and previous studies have typically focused on single metals. This study utilized data from 3110 adult subjects in the NHANES survey (2011-2018). Generalized linear models (GLM), logistic regression (LR), and restricted cubic splines (RCS) were employed to assess the associations of blood and urine metals with insulin resistance (IR) and glucose-insulin homeostasis. The Bayesian kernel machine regression (BKMR) and Bayesian weighted quantile sum (BWQS) models were further used to explore the independent and combined effects of metal exposures. In single-metal analyses, manganese (Mn) was positively correlated with insulin resistance (IR); cadmium(Cd), lead(Pb), mercury(Hg), and arsenic (As) were nega

SUBMITTER: Wu Q 

PROVIDER: S-EPMC12808658 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature