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Proc Am Thorac Soc. 2010 May;7(2):111-5. doi: 10.1513/pats.200908-093RM.

How much, how long, what, and where: air pollution exposure assessment for epidemiologic studies of respiratory disease.

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1
Sc.D., University of British Columbia School of Environmental Health, 3rd Floor, 2206 East Mall, Vancouver, BC, V6T1Z3 Canada. brauer@interchange.ubc.ca

Abstract

Epidemiology has played an important role in the understanding of air pollution as a risk factor for respiratory disease and in the evidence base for air quality standards. With the widespread availability of genetic information and increasingly sophisticated measurements of molecular markers of adverse effects, there is a need for more specific and precise assessment of exposure to maximize the potential information to be derived from epidemiologic studies. Here advances in air pollution exposure assessment and their applications to studies of respiratory disease are reviewed, with a focus on recent studies of traffic-related air pollution and asthma. Although continuous measurements of personal exposures for all study subjects for a complete study period might be considered the desired "gold standard" for exposure, this is rarely, if ever, achieved due to feasibility constraints. Given this, exposure is typically estimated using models. Recent applications of geospatial (e.g., land use regression) models to studies of respiratory disease have made possible new study designs focused on spatial variability in exposure within urban areas and have provided new insights into the potential role of traffic-related air pollution (TRAP) as a risk factor for the development of childhood asthma. Substantial uncertainty remains, however, regarding what agent(s) within TRAP might be responsible for the observed associations. Future research will require increasing the specificity of exposure assessment to identify the potential roles of individual air pollution components, to elucidate potential mechanisms, and to facilitate studies of mixtures and gene-air pollution interactions.

PMID:
20427581
DOI:
10.1513/pats.200908-093RM
[Indexed for MEDLINE]
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