Exposure Measurement Error in PM2.5 Health Effects Studies: A Pooled Analysis of Eight Personal Exposure Validation Studies

Details

• Personal Author:
  Hong B ; Kaufman JD ; Kioumourtzoglou M-A ; Laden F ; Sheppard L ; Spiegelman D ; Suh H ; Szpiro AA ; Williams R ; Yanosky JD
• Description:
  Background: Exposure measurement error is a concern in long-term PM2.5 health studies using ambient concentrations as exposures. We assessed error magnitude by estimating calibration coefficients as the association between personal PM2.5 exposures from validation studies and typically available surrogate exposures. Methods: Daily personal and ambient PM2.5, and when available sulfate, measurements were compiled from nine cities, over 2 to 12 days. True exposure was defined as personal exposure to PM2.5 of ambient origin. Since PM2.5 of ambient origin could only be determined for five cities, personal exposure to total PM2.5 was also considered. Surrogate exposures were estimated as ambient PM2.5 at the nearest monitor or predicted outside subjects' homes. We estimated calibration coefficients by regressing true on surrogate exposures in random effects models. Results: When monthly-averaged personal PM2.5 of ambient origin was used as the true exposure, calibration coefficients equaled 0.31 (95% CI:0.14, 0.47) for nearest monitor and 0.54 (95% CI:0.42, 0.65) for outdoor home predictions. Between-city heterogeneity was not found for outdoor home PM2.5 for either true exposure. Heterogeneity was significant for nearest monitor PM2.5, for both true exposures, but not after adjusting for city-average motor vehicle number for total personal PM2.5. Conclusions: Calibration coefficients were <1, consistent with previously reported chronic health risks using nearest monitor exposures being under-estimated when ambient concentrations are the exposure of interest. Calibration coefficients were closer to 1 for outdoor home predictions, likely reflecting less spatial error. Further research is needed to determine how our findings can be incorporated in future health studies. [Description provided by NIOSH]
• Subjects:
  Air Pollution Environmental Monitoring Epidemiology Occupational Health Particulate Matter Safety
• Keywords:
  Air Monitoring Air Pollution Air Sampling Author Keywords: Exposure Measurement Error Exposure Assessment Fine Particles Fine Particles Of Ambient Origin Health Effects Monitoring Data Particulates Spatio-temporal Models Statistical Analysis

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• ISSN:
  1476-069X
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; North Carolina ; OSHA Region 1 ; OSHA Region 10 ; OSHA Region 3 ; OSHA Region 4 ; Pennsylvania ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  2
• Volume:
  13
• NIOSHTIC Number:
  nn:20055127
• Citation:
  Environ Health 2014 Jan; 13:2
• Contact Point Address:
  Marianthi-Anna Kioumourtzoglou, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA
• Email:
  marianthi.anna@mail.harvard.edu
• Federal Fiscal Year:
  2014
• Performing Organization:
  University of Washington
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Environmental Health: A Global Access Science Source
• End Date:
  20250630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:716e72ab6e24944e2be9e7bd08effbf07dc41b34b1617ce8690dd8aacd77cf0ddea5295244e6d8a0c4a40ec41ee85507c4ff82f44c590e5061553f20c8255447
• Download URL:
  https://stacks.cdc.gov/view/cdc/217494/cdc_217494_DS1.pdf
• File Type:
  [PDF - 373.55 KB ]