Health effects of air pollutant mixtures on overall mortality among the elderly population using Bayesian kernel machine regression (BKMR).

ABSTRACT: It is well documented that fine particles matter (PM_2.5), ozone (O₃), and nitrogen dioxide (NO₂) are associated with a range of adverse health outcomes. However, most epidemiologic studies have focused on understanding their additive effects, despite that individuals are exposed to multiple air pollutants simultaneously that are likely correlated with each other. Therefore, we applied a novel method - Bayesian Kernel machine regression (BKMR) and conducted a population-based cohort study to assess the individual and joint effect of air pollutant mixtures (PM_2.5, O₃, and NO₂) on all-cause mortality among the Medicare population in 15 cities with 656 different ZIP codes in the southeastern US. The results suggest a strong asso

SUBMITTER: Li H 

PROVIDER: S-EPMC8578302 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature