Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure

Laura A. McGuinn, Cavin Ward-Caviness, Lucas M. Neas, Alexandra Schneider, Qian Di, Alexandra Chudnovsky, Joel Schwartz, Petros Koutrakis, Armistead G. Russell, Val Garcia, William E. Kraus, Elizabeth R. Hauser, Wayne Cascio, David Diaz-Sanchez, Robert B. Devlin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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 12 km spatial resolutions, and satellite-based models at 10 km and 1 km 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 12 km-CMAQ models. Conclusions Long-term air pollution exposure was associated with coronary artery disease for both modeled and monitored data.

Original languageEnglish
Pages (from-to)16-23
Number of pages8
JournalEnvironmental Research
StatePublished - 2017


FundersFunder number
National Health and Environmental Effects Research Laboratory
U.S. Department of Energy
National Institute of Environmental Health SciencesT32ES007018
U.S. Environmental Protection Agency4946- RFPA10-3/14-7, RD834799, RD83587201
Oak Ridge Institute for Science and Education


    • Air pollution
    • Cardiovascular disease
    • Epidemiology
    • Exposure assessment
    • Particulate matter


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