Associations between exposure to heavy metal and sarcopenia prevalence: a cross-sectional study using NHANES data.

ABSTRACT:

Background

Sarcopenia is a condition that adversely affects individuals' quality of life and physical health. Exposure to heavy metals poses a significant risk to human health; however, the impact of heavy metal exposure on sarcopenia remains unclear. Therefore, this study expects to construct a risk prediction machine model of heavy metal exposure on sarcopenia and to interpret and analyze it.

Methods

Model construction was based on data from the NHANES database, covering the years 2011 to 2018. The predictor variables included BA, CD, CO, CS, MN, MO, PB, SB, SN, TL, and W. Additionally, demographic characteristics and health factors were included in the study as confounders. After identifying the core variables, optimal machine learning models were constructed, and SHAP an

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12272888 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature