Short-term PM_2.5 and cardiovascular admissions in NY State: assessing sensitivity to exposure model choice.

ABSTRACT:

Background

Air pollution health studies have been increasingly using prediction models for exposure assessment even in areas without monitoring stations. To date, most studies have assumed that a single exposure model is correct, but estimated effects may be sensitive to the choice of exposure model.

Methods

We obtained county-level daily cardiovascular (CVD) admissions from the New York (NY) Statewide Planning and Resources Cooperative System (SPARCS) and four sets of fine particulate matter (PM_2.5) spatio-temporal predictions (2002-2012). We employed overdispersed Poisson models to investigate the relationship between daily PM_2.5 and CVD, adjusting for potential confounders, separately for each state-wide PM_2.5 dataset.

Results

For a

SUBMITTER: He MZ 

PROVIDER: S-EPMC8383435 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature