Variability in the fraction of ambient fine particulate matter found indoors and observed heterogeneity in health effect estimates

Exposure to ambient (outdoor-generated) fine particulate matter (PM 2.5 ) occurs predominantly indoors. The variable efficiency with which ambient PM 2.5 penetrates and persists indoors is a source of exposure error in air pollution epidemiology and could contribute to observed temporal and spatial...

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Veröffentlicht in:Journal of exposure science & environmental epidemiology 2012-09, Vol.22 (5), p.448-454
Hauptverfasser: Hodas, Natasha, Meng, Qingyu, Lunden, Melissa M, Rich, David Q, Özkaynak, Halûk, Baxter, Lisa K, Zhang, Qi, Turpin, Barbara J
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Sprache:eng
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Zusammenfassung:Exposure to ambient (outdoor-generated) fine particulate matter (PM 2.5 ) occurs predominantly indoors. The variable efficiency with which ambient PM 2.5 penetrates and persists indoors is a source of exposure error in air pollution epidemiology and could contribute to observed temporal and spatial heterogeneity in health effect estimates. We used a mass balance approach to model F for several scenarios across which heterogeneity in effect estimates has been observed: with geographic location of residence, residential roadway proximity, socioeconomic status, and central air-conditioning use. We found F is higher in close proximity to primary combustion sources (e.g. proximity to traffic) and for lower income homes. F is lower when PM 2.5 is enriched in nitrate and with central air-conditioning use. As a result, exposure error resulting from variability in F will be greatest when these factors have high temporal and/or spatial variability. The circumstances for which F is lower in our calculations correspond to circumstances for which lower effect estimates have been observed in epidemiological studies and higher F values correspond to higher effect estimates. Our results suggest that variability in exposure misclassification resulting from variability in F is a possible contributor to heterogeneity in PM-mediated health effect estimates.
ISSN:1559-0631
1559-064X
DOI:10.1038/jes.2012.34