Comparison of PM2.5 Air Pollution Exposures and Health Effects Associations Using 11 Different Modeling Approaches in the Women’s Health Initiative Memory Study (WHIMS)
Year: 2024
Type: article
Abstract: BACKGROUND: Many approaches to quantifying air pollution exposures have been developed. However, the impact of choice of approach on air pollution estimates and health-effects associations remains unclear. OBJECTIVES: ) concentrations and resulting health effects associations using multiple estimation approaches previously used in epidemiologic analyses. METHODS: and death due to natural causes, cardiovascular disease (CVD) mortality, and incident CVD events, adjusting for individual-level covariates and climate-based region. RESULTS: among estimation approaches in analyses adjusted for climate region. CONCLUSIONS: estimation approach in epidemiologic studies, as investigators balance concerns about bias, efficiency, and resource allocation. Future work is needed to understand whether these conclusions also apply in the context of other air pollutants of interest. https://doi.org/10.1289/EHP12995.
DOI: 10.1289/ehp12995
Authors: Melinda C. Power, Erin E. Bennett, Katie M. Lynch, James D. Stewart, Xiaohui Xu, Eun Sug Park, Richard L. Smith, Will Vizuete, Helene G. Margolis, Ramon Casanova, Robert Wallace, Lianne Sheppard, Qi Ying, Marc L. Serre, Adam A. Szpiro, Jiu-Chiuan Chen, Duanping Liao, Gregory A. Wellenius, Aaron van Donkelaar, Jeff D. Yanosky, Eric Whitsel
Institutions: University of North Carolina at Chapel Hill, Texas A&M Health Science Center, Texas A&M University, Texas A&M Transportation Institute, University of California, Davis, Wake Forest University Health Sciences, Wake Forest University, University of Iowa, University of Washington, University of Southern California, Pennsylvania State University, Boston University
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,500
Funders: U.S. Department of Defense, U.S. Department of Health and Human Services, U.S. Department of Transportation, Biogen, University of Washington, District of Columbia Department of Health, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Environmental Health Sciences
Awards: G1211708387, G3827278403, Statistical Methods to Account for Exposure Uncertainty in Environmental Epidemiology, G4499735890, G554960330, G571830633, G5777902738, Air pollution, Alzheimer's Disease and Related Outcomes, G6238440229, G6374953548, G6894818919, G7159829730, G7348868804, G7821233859, G796413602, G8566225511, G8836210513, Environmental Health Sciences Research Center, UNC Center for Environmental Health and Susceptibility
OpenAlex ID: W4390919642