Temporal aspects of air pollutant measures in epidemiologic analysis: a simulation study.

ABSTRACT: Numerous observational studies have assessed the association between ambient air pollution and chronic disease incidence, but there is no uniform approach to create an exposure metric that captures the variability in air pollution through time and determines the most relevant exposure window. The purpose of the present study was to assess ways of modeling exposure to air pollution in relation to incident hypertension. We simulated data on incident hypertension to assess the performance of six air pollution exposure metrics, using characteristics from the Black Women's Health Study. Each metric made different assumptions about how to incorporate time trends in pollutant data, and the most relevant window of exposure. We use observed values for particulate matter ≤ 2.5 microns (PM2.5) for th

SUBMITTER: White LF 

PROVIDER: S-EPMC4726372 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature