Journal article
Comparison of PM 2.5 Air Pollution Exposures and Health Effects Associations Using 11 Different Modeling Approaches in the Women's Health Initiative Memory Study (WHIMS)
Environmental health perspectives, Vol.132(1), 17003
01/2024
DOI: 10.1289/EHP12995
PMCID: PMC10790222
PMID: 38226465
Abstract
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.
Our objective is to compare particulate matter with aerodynamic diameter
(
) concentrations and resulting health effects associations using multiple estimation approaches previously used in epidemiologic analyses.
We assigned annual
exposure estimates from 1999 to 2004 derived from 11 different approaches to Women's Health Initiative Memory Study (WHIMS) participant addresses within the contiguous US. Approaches included geostatistical interpolation approaches, land-use regression or spatiotemporal models, satellite-derived approaches, air dispersion and chemical transport models, and hybrid models. We used descriptive statistics and plots to assess relative and absolute agreement among exposure estimates and examined the impact of approach on associations between
and death due to natural causes, cardiovascular disease (CVD) mortality, and incident CVD events, adjusting for individual-level covariates and climate-based region.
With a few exceptions, relative agreement of approach-specific
exposure estimates was high for
concentrations across the contiguous US. Agreement among approach-specific exposure estimates was stronger near
monitors, in certain regions of the country, and in 2004 vs. 1999. Collectively, our results suggest but do not quantify lower agreement at local spatial scales for
. There was no evidence of large differences in health effects associations with
among estimation approaches in analyses adjusted for climate region.
Different estimation approaches produced similar spatial patterns of
concentrations across the contiguous US and in areas with dense monitoring data, and
effects associations were similar among estimation approaches.
estimates and
effects associations may differ more in samples drawn from smaller areas or areas without substantial monitoring data, or in analyses with finer adjustment for participant location. Our results can inform decisions about
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.
Details
- Title: Subtitle
- Comparison of PM 2.5 Air Pollution Exposures and Health Effects Associations Using 11 Different Modeling Approaches in the Women's Health Initiative Memory Study (WHIMS)
- Creators
- Melinda C Power - Milken InstituteErin E Bennett - Milken InstituteKatie M Lynch - Milken InstituteJames D Stewart - University of North Carolina at Chapel HillXiaohui Xu - Texas A&M Health Science CenterEun Sug Park - Texas A&M UniversityRichard L Smith - University of North Carolina at Chapel HillWill Vizuete - University of North Carolina at Chapel HillHelene G Margolis - University of California, DavisRamon Casanova - Wake Forest UniversityRobert Wallace - University of IowaLianne Sheppard - University of WashingtonQi Ying - Texas A&M UniversityMarc L Serre - University of North Carolina at Chapel HillAdam A Szpiro - University of WashingtonJiu-Chiuan Chen - University of Southern CaliforniaDuanping Liao - Pennsylvania State UniversityGregory A Wellenius - Boston UniversityAaron van Donkelaar - Washington University in St. LouisEric Whitsel - University of North Carolina at Chapel HillJeff D Yanosky - Pennsylvania State University
- Resource Type
- Journal article
- Publication Details
- Environmental health perspectives, Vol.132(1), 17003
- DOI
- 10.1289/EHP12995
- PMID
- 38226465
- PMCID
- PMC10790222
- NLM abbreviation
- Environ Health Perspect
- eISSN
- 1552-9924
- Grant note
- R01 ES026246 / NIEHS NIH HHS 75N92021D00002 / NHLBI NIH HHS R01 ES029509 / NIEHS NIH HHS 75N92021D00003 / WHI NIH HHS 75N92021D00001 / NHLBI NIH HHS 75N92021D00005 / WHI NIH HHS 75N92021D00004 / WHI NIH HHS
- Language
- English
- Date published
- 01/2024
- Academic Unit
- Epidemiology; Injury Prevention Research Center
- Record Identifier
- 9984548289302771
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