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ABSTRACT: Background
Volatile organic compounds (VOCs) are emerging environmental pollutants linked to various health problems. However, the relationship between exposure to urinary volatile organic compound metabolites (mVOCs) and sarcopenia remains unclear.Methods
We used data from the National Health and Nutrition Examination Survey (NHANES 2011-2018) to assess the association between mVOCs and sarcopenia through multivariable logistic regression and restricted cubic spline (RCS) regression. We also employed Weighted Quantile Sum (WQS) regression model, a high-dimensional statistical approach used to evaluate the joint effects of multiple exposures, and Bayesian Kernel Machine regression (BKMR) model, a combination of Bayesian and statistical learning methods, to assess the mixtur
SUBMITTER: Wang P
PROVIDER: S-EPMC12303945 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature