Source-Apportioned PM2.5 and Cardiorespiratory Emergency Department Visits: Accounting for Source Contribution Uncertainty

Details

• Personal Author:
  Balachandran S ; Chang HH ; Darrow LA ; Gass K ; Klein, Matthew K. ; Mulholland JA ; Pennington AF ; Russell AG ; Sarnat SE ; Strickland MJ ; Tolbert PE
• Description:
  Background: Despite evidence suggesting that air pollution-related health effects differ by emissions source, epidemiologic studies on fine particulate matter (PM2.5) infrequently differentiate between particles from different sources. Those that do rarely account for the uncertainty of source apportionment methods. Methods: For each day in a 12-year period (1998-2010) in Atlanta, GA, we estimated daily PM2.5 source contributions from a Bayesian ensemble model that combined four source apportionment methods including chemical transport and receptor-based models. We fit Poisson generalized linear models to estimate associations between source-specific PM2.5 concentrations and cardiorespiratory emergency department visits (n = 1,598,117). We propagated uncertainty in the source contribution estimates through analyses using multiple imputation. Results: Respiratory emergency department visits were positively associated with biomass burning and secondary organic carbon. For a 1 ug/m3 increase in PM2.5 from biomass burning during the past 3 days, the rate of visits for all respiratory outcomes increased by 0.4% (95% CI 0.0%, 0.7%). There was less evidence for associations between PM2.5 sources and cardiovascular outcomes, with the exception of ischemic stroke, which was positively associated with most PM2.5 sources. Accounting for the uncertainty of source apportionment estimates resulted, on average, in an 18% increase in the standard error for rate ratio estimates for all respiratory and cardiovascular emergency department visits, but inflation varied across specific sources and outcomes, ranging from 2% to 39%. Conclusions: This study provides evidence of associations between PM2.5 sources and some cardiorespiratory outcomes and quantifies the impact of accounting for variability in source apportionment approaches. [Description provided by NIOSH]
• Subjects:
  Air Pollution Cardiovascular System Emergency Responders Epidemiology Occupational Health Particulate Matter Respiratory System Safety
• Keywords:
  Air Pollution Author Keywords: Air Pollution Cardiopulmonary System Disorders Cardiovascular Health Emergency Treatment Emission Sources Fine Particulate Matter Particle Size Particulates PM2.5 Respiratory Health Respiratory Irritants Source Apportionment Uncertainty

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• ISSN:
  1044-3983
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Georgia ; Nevada ; Ohio ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  30
• Issue:
  6
• NIOSHTIC Number:
  nn:20057429
• Citation:
  Epidemiology 2019 Nov; 30(6):789-798
• Contact Point Address:
  Audrey Flak Pennington, Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Mailstop 1518-002-2BB, Atlanta, GA 30332-4201
• Email:
  afpennington@alumni.emory.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  Emory University, Atlanta
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Epidemiology
• End Date:
  20180630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:59495f6e8cbb00abd75eda93319b1f342c29d14316d3cb967909fab9bdc82f39469e4ea4b7cb1508e9153cc6a09c8e970be78af094434f3d01f887e93de4a47c
• Download URL:
  https://stacks.cdc.gov/view/cdc/214786/cdc_214786_DS1.pdf
• File Type:
  [PDF - 594.39 KB ]