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Estimating ambient air pollutant concentrations outside and inside homes in the Subpopulations and Intermediate outcomes in COPD air pollution (SPIROMICS air) cohort.
Kirwa, Kipruto; Gassett, Amanda J; Sack, Coralynn; Paulin, Laura M; Pirozzi, Cheryl S; Barr, R Graham; Woodruff, Prescott G; Han, MeiLan; Wilgus, May-Lin; Barjaktarevic, Igor; Peters, Stephen; Hansel, Nadia N; Kaufman, Joel D.
Afiliação
  • Kirwa K; Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA. Electronic address: kirwa@bu.edu.
  • Gassett AJ; Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA.
  • Sack C; Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA.
  • Paulin LM; Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
  • Pirozzi CS; Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA.
  • Barr RG; Department of Medicine, Columbia University Medical Center, New York, NY, USA.
  • Woodruff PG; Department of Medicine, University of California, San Francisco, CA, USA.
  • Han M; Department of Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Wilgus ML; Department of Medicine, David Geffen School of Medicine, Los Angeles, CA, USA.
  • Barjaktarevic I; Department of Medicine, David Geffen School of Medicine, Los Angeles, CA, USA.
  • Peters S; Department of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
  • Hansel NN; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Kaufman JD; Departments of Environmental and Occupational Health Sciences, Epidemiology, and Medicine, University of Washington School of Public Health, Seattle, WA, USA.
Environ Res ; 259: 119512, 2024 Jul 02.
Article em En | MEDLINE | ID: mdl-38964581
ABSTRACT

BACKGROUND:

Valid, high-resolution estimates of population-level exposure to air pollutants are necessary for accurate estimation of the association between air pollution and the occurrence or exacerbation of adverse health outcomes such as Chronic Obstructive Pulmonary Disease (COPD).

OBJECTIVES:

We produced fine-scale individual-level estimates of ambient concentrations of multiple air pollutants (fine particulate matter [PM2.5], NOX, NO2, and O3) at residences of participants in the Subpopulations and Intermediate Outcomes in COPD Air Pollution (SPIROMICS Air) study, located in seven regions in the US. For PM2.5, we additionally integrated modeled estimates of particulate infiltration based on home characteristics and measured total indoor concentrations to provide comprehensive estimates of exposure levels.

METHODS:

To estimate ambient concentrations, we used a hierarchical high-resolution spatiotemporal model that integrates hundreds of geographic covariates and pollutant measurements from regulatory and study-specific monitors, including ones located at participant residences. We modeled infiltration efficiency based on data on house characteristics, home heating and cooling practices, indoor smoke and combustion sources, meteorological factors, and paired indoor-outdoor pollutant measurements, among other indicators.

RESULTS:

Cross-validated prediction accuracy (R2) for models of ambient concentrations was above 0.80 for most regions and pollutants. Particulate matter infiltration efficiency varied by region, from 0.51 in Winston-Salem to 0.72 in Los Angeles, and ambient-source particles constituted a substantial fraction of total indoor PM2.5.

CONCLUSION:

Leveraging well-validated fine-scale approaches for estimating outdoor, ambient-source indoor, and total indoor pollutant concentrations, we can provide comprehensive estimates of short and long-term exposure levels for cohorts undergoing follow-up in multiple different regions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Res Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Res Ano de publicação: 2024 Tipo de documento: Article