Effects of low-level air pollution exposures on hospital admission for myocardial infarction using multiple causal models.

ABSTRACT: Myocardial infarctions have been associated with PM_2.5, and more recently with NO₂ and O₃, however counterfactual designs have been lacking and argument continues over the extent of confounding control. Here we introduce a doubly robust, counterfactual-based approach that deals with nonlinearity and interactions in associations between confounders and both outcome and exposure, as well as a double negative controls approach that capture omitted confounders. We used data from over 4 million admissions for myocardial infarction in the US Medicare population between 2000 and 2016 and linked them by ZIP code of residence to high resolution predictions of annual PM_2.5, NO_2, and O₃. We computed the counts of admissions for each ZI

SUBMITTER: Schwartz J 

PROVIDER: S-EPMC10527724 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature