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Factors influencing time-location patterns and their impact on estimates of exposure: the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)
Journal article   Open access   Peer reviewed

Factors influencing time-location patterns and their impact on estimates of exposure: the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)

Elizabeth W. Spalt, Cynthia L. Curl, Ryan W. Allen, Martin Cohen, Kayleen Williams, Jana A. Hirsch, Sara D. Adar and Joel D. Kaufman
Journal of exposure science & environmental epidemiology, v 26(4), pp 341-348
01 Jul 2016
PMID: 25921081
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1038/jes.2015.26View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

Environmental Sciences Environmental Sciences & Ecology Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology Toxicology
We assessed time-location patterns and the role of individual- and residential-level characteristics on these patterns within the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air) cohort and also investigated the impact of individual- level time-location patterns on individual- level estimates of exposure to outdoor air pollution. Reported time-location patterns varied significantly by demographic factors such as age, gender, race/ethnicity, income, education, and employment status. On average, Chinese participants reported spending significantly more time indoors and less time outdoors and in transit than White, Black, or Hispanic participants. Using a tiered linear regression approach, we predicted time indoors at home and total time indoors. Our model, developed using forward-selection procedures, explained 43% of the variability in time spent indoors at home, and incorporated demographic, health, lifestyle, and built environment factors. Time-weighted air pollution predictions calculated using recommended time indoors from USEPA overestimated exposures as compared with predictions made with MESA Air participant-specific information. These data fill an important gap in the literature by describing the impact of individual and residential characteristics on time-location patterns and by demonstrating the impact of population-specific data on exposure estimates.

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23 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#11 Sustainable Cities and Communities
#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
Toxicology
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