NDLI: Estimating error in using ambient PM2.5 concentrations as proxies for personal exposures: a review.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Avery, Christy L. Mills, Katherine T. Williams, Ronald McGraw, Kathleen A. Poole, Charles Smith, Richard L. Whitsel, Eric A.
Spatial Coverage	Europe North America
Description	Author Affiliation: Avery CL ( Department of Epidemiology, University of North Carolina Chapel Hill, Bank of America Center, 137 E. Franklin St., Suite 306, Chapel Hill, NC 27514. christy_avery@unc.edu)
Abstract	BACKGROUND: Several methods have been used to account for measurement error inherent in using ambient concentration of particulate matter < 2.5 microm/m(3) (PM(2.5)) as a proxy for personal exposure. Such methods commonly rely on the estimated correlation between ambient and personal PM(2.5) concentrations (r). However, studies of r have not been systematically and quantitatively assessed for publication bias or heterogeneity. METHODS: We searched 7 electronic reference databases for studies of the within-participant correlation between ambient and personal PM(2.5). RESULTS: We identified 567 candidate studies, 18 (3%) of which met inclusion criteria and were abstracted. The studies were published between 1999 and 2008, representing 619 nonsmoking participants aged 6-93 years in 17 European and North American cities. Correlation coefficients (median 0.54; range 0.09-0.83) were based on a median of 8 ambient-personal PM(2.5) pairs per participant (range 5-20) collected over 27-547 days. Overall, there was little evidence for publication bias (funnel plot symmetry tests: Begg's log-rank test, P 0.9; Egger's regression asymmetry test, P 0.2). However, strong evidence for heterogeneity was noted (Cochran's Q test for heterogeneity, P = 0.001). European locales, eastern longitudes in North America, higher ambient PM(2.5) concentrations, higher relative humidity, and lower between-participant variation in r were associated with increased r. CONCLUSIONS: Characteristics of participants, studies, and the environments in which they are conducted may affect the accuracy of ambient PM2.5 as a proxy for personal exposure.
File Format	HTM / HTML
ISSN	10443983
Issue Number	2
Volume Number	21
e-ISSN	15315487
Journal	Epidemiology
Language	English
Publisher	Lippincott Williams & Wilkins
Publisher Date	2010-03-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Public Health Discipline Epidemiology Environmental Exposure Analysis Particulate Matter Adolescent Adult Aged Aged, 80 And Over Bias (epidemiology) Child Data Interpretation, Statistical Adverse Effects Europe Humans Middle Aged North America Publication Bias Statistics & Numerical Data Young Adult Journal Article Review
Content Type	Text
Resource Type	Article
Subject	Epidemiology

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