Estimating ambient-origin PM2.5 exposure for epidemiology: observations, prediction, and validation using personal sampling in the Multi-Ethnic Study of Atherosclerosis.

Journal of Exposure Science & Environmental Epidemiology
Kristin A MillerJoel D Kaufman

Abstract

We aim to characterize the qualities of estimation approaches for individual exposure to ambient-origin fine particulate matter (PM2.5), for use in epidemiological studies. The analysis incorporates personal, home indoor, and home outdoor air monitoring data and spatio-temporal model predictions for 60 participants from the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). We compared measurement-based personal PM2.5 exposure with several measured or predicted estimates of outdoor, indoor, and personal exposures. The mean personal 2-week exposure was 7.6 (standard deviation 3.7) µg/m3. Outdoor model predictions performed far better than outdoor concentrations estimated using a nearest-monitor approach (R = 0.63 versus R = 0.43). Incorporating infiltration indoors of ambient-derived PM2.5 provided better estimates of the measurement-based personal exposures than outdoor concentration predictions (R = 0.81 versus R = 0.63) and better scaling of estimated exposure (mean difference 0.4 versus 5.4 µg/m3 higher than measurements), suggesting there is value to collecting data regarding home infiltration. Incorporating individual-level time-location information into exposure predictions did not increase correlations w...Continue Reading

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Citations

Jul 3, 2019·Journal of Exposure Science & Environmental Epidemiology·Margaux SanchezCathryn Tonne
Apr 17, 2020·Environmental Pollution·Wei-Ting HsuYu-Cheng Chen
Feb 28, 2021·Occupational and Environmental Medicine·Jingyi QinHongxiu Liu

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Methods Mentioned

BETA
X-ray

Software Mentioned

MESA
R

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