Impact of National Ambient Air Quality Standards Nonattainment Designations on Particulate Pollution and Health
Year: 2017
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Despite dramatic air quality improvement in the United States over the past decades, recent years have brought renewed scrutiny and uncertainty surrounding the effectiveness of specific regulatory programs for continuing to improve air quality and public health outcomes. METHODS: We employ causal inference methods and a spatial hierarchical regression model to characterize the extent to which a designation of "nonattainment" with the 1997 National Ambient Air Quality Standard for ambient fine particulate matter (PM2.5) in 2005 causally affected ambient PM2.5 and health outcomes among over 10 million Medicare beneficiaries in the Eastern United States in 2009-2012. RESULTS: We found that, on average across all retained study locations, reductions in ambient PM2.5 and Medicare health outcomes could not be conclusively attributed to the nonattainment designations against the backdrop of other regional strategies that impacted the entire Eastern United States. A more targeted principal stratification analysis indicates substantial health impacts of the nonattainment designations among the subset of areas where the designations are estimated to have actually reduced ambient PM2.5 beyond levels achieved by regional measures, with noteworthy reductions in all-cause mortality, chronic obstructive pulmonary disorder, heart failure, ischemic heart disease, and respiratory tract infections. DISCUSSION: These findings provide targeted evidence of the effectiveness of local control measures after nonattainment designations for the 1997 PM2.5 air quality standard.
Source: Epidemiology
Institution: Harvard University
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
Awards: Cardiovascular Health and Air Pollution: A National Study, Casual Inference with Interference for Evaluating Air Quality Policies, Bayesian Methods for Comparative Effectiveness Research with Observational Data, Disparities in Exposure and Health Effects of Multiple Environmental Stressors Across the Life Course
OpenAlex ID: W2766658316
