Laura A McGuinn1, Cavin Ward-Caviness2, Lucas M Neas2, Alexandra Schneider3, Qian Di4, Alexandra Chudnovsky5, Joel Schwartz4, Petros Koutrakis4, Armistead G Russell6, Val Garcia7, William E Kraus8, Elizabeth R Hauser8, Wayne Cascio2, David Diaz-Sanchez2, Robert B Devlin9. 1. Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA. 2. National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC, USA. 3. Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany. 4. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 5. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Tel-Aviv University, Department of Geography and Human Environment, School of Geosciences, Israel. 6. Department of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA. 7. National Environmental Exposure Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA. 8. Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA. 9. National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC, USA. Electronic address: devlin.robert@epa.gov.
Abstract
BACKGROUND: Adverse cardiovascular events have been linked with PM2.5 exposure obtained primarily from air quality monitors, which rarely co-locate with participant residences. Modeled PM2.5 predictions at finer resolution may more accurately predict residential exposure; however few studies have compared results across different exposure assessment methods. METHODS: We utilized a cohort of 5679 patients who had undergone a cardiac catheterization between 2002-2009 and resided in NC. Exposure to PM2.5 for the year prior to catheterization was estimated using data from air quality monitors (AQS), Community Multiscale Air Quality (CMAQ) fused models at the census tract and 12km spatial resolutions, and satellite-based models at 10km and 1km resolutions. Case status was either a coronary artery disease (CAD) index >23 or a recent myocardial infarction (MI). Logistic regression was used to model odds of having CAD or an MI with each 1-unit (μg/m3) increase in PM2.5, adjusting for sex, race, smoking status, socioeconomic status, and urban/rural status. RESULTS: We found that the elevated odds for CAD>23 and MI were nearly equivalent for all exposure assessment methods. One difference was that data from AQS and the census tract CMAQ showed a rural/urban difference in relative risk, which was not apparent with the satellite or 12km-CMAQ models. CONCLUSIONS: Long-term air pollution exposure was associated with coronary artery disease for both modeled and monitored data. Published by Elsevier Inc.
BACKGROUND: Adverse cardiovascular events have been linked with PM2.5 exposure obtained primarily from air quality monitors, which rarely co-locate with participant residences. Modeled PM2.5 predictions at finer resolution may more accurately predict residential exposure; however few studies have compared results across different exposure assessment methods. METHODS: We utilized a cohort of 5679 patients who had undergone a cardiac catheterization between 2002-2009 and resided in NC. Exposure to PM2.5 for the year prior to catheterization was estimated using data from air quality monitors (AQS), Community Multiscale Air Quality (CMAQ) fused models at the census tract and 12km spatial resolutions, and satellite-based models at 10km and 1km resolutions. Case status was either a coronary artery disease (CAD) index >23 or a recent myocardial infarction (MI). Logistic regression was used to model odds of having CAD or an MI with each 1-unit (μg/m3) increase in PM2.5, adjusting for sex, race, smoking status, socioeconomic status, and urban/rural status. RESULTS: We found that the elevated odds for CAD>23 and MI were nearly equivalent for all exposure assessment methods. One difference was that data from AQS and the census tract CMAQ showed a rural/urban difference in relative risk, which was not apparent with the satellite or 12km-CMAQ models. CONCLUSIONS: Long-term air pollution exposure was associated with coronary artery disease for both modeled and monitored data. Published by Elsevier Inc.
Entities:
Keywords:
Air pollution; Cardiovascular disease; Epidemiology; Exposure assessment; Particulate matter
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