Human exposure factors as potential determinants of the heterogeneity in city-specific associations between PM_2.5 and mortality.

ABSTRACT: Multi-city population-based epidemiological studies of short-term fine particulate matter (PM_2.5) exposures and mortality have observed heterogeneity in risk estimates between cities. Factors affecting exposures, such as pollutant infiltration, which are not captured by central-site monitoring data, can differ between communities potentially explaining some of this heterogeneity. This analysis evaluates exposure factors as potential determinants of the heterogeneity in 312 core-based statistical areas (CBSA)-specific associations between PM_2.5 and mortality using inverse variance weighted linear regression. Exposure factor variables were created based on data on housing characteristics, commuting patterns, heating fuel usage, and climatic factors from national surveys

SUBMITTER: Baxter LK 

PROVIDER: S-EPMC6643264 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature