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Hazlehurst MF, Spalt EW, Nicholas TP, Curl CL, Davey ME, Burke GL, Watson KE, Vedal S, Kaufman JD. Contribution of the in-vehicle microenvironment to individual ambient-source nitrogen dioxide exposure: the Multi-Ethnic Study of Atherosclerosis and Air Pollution. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2018; 28:371-380. [PMID: 29511286 PMCID: PMC6013355 DOI: 10.1038/s41370-018-0025-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 11/12/2017] [Accepted: 12/17/2017] [Indexed: 05/31/2023]
Abstract
Exposure estimates that do not account for time in-transit may underestimate exposure to traffic-related air pollution, but exact contributions have not been studied directly. We conducted a 2-week monitoring, including novel in-vehicle sampling, in a subset of the Multi-Ethnic Study of Atherosclerosis and Air Pollution cohort in two cities. Participants spent the majority of their time indoors and only 4.4% of their time (63 min/day) in-vehicle, on average. The mean ambient-source NO2 concentration was 5.1 ppb indoors and 32.3 ppb in-vehicle during drives. On average, indoor exposure contributed 69% and in-vehicle exposure contributed 24% of participants' ambient-source NO2 exposure. For participants in the highest quartile of time in-vehicle (≥1.3 h/day), indoor and in-vehicle contributions were 60 and 31%, respectively. Incorporating infiltrated indoor and measured in-vehicle NO2 produced exposure estimates 5.6 ppb lower, on average, than using only outdoor concentrations. The indoor microenvironment accounted for the largest proportion of ambient-source exposure in this older population, despite higher concentrations of NO2 outdoors and in vehicles than indoors. In-vehicle exposure was more influential among participants who drove the most and for participants residing in areas with lower outdoor air pollution. Failure to characterize exposures in these microenvironments may contribute to exposure misclassification in epidemiologic studies.
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Affiliation(s)
- Marnie F Hazlehurst
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Elizabeth W Spalt
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Tyler P Nicholas
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Cynthia L Curl
- Department of Community and Environmental Health, Boise State University, Boise, ID, USA
| | - Mark E Davey
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Gregory L Burke
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Karol E Watson
- Department of Medicine/Cardiology, University of California Los Angeles, Los Angeles, CA, USA
| | - Sverre Vedal
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.
- Department of Medicine, University of Washington, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
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Cepeda M, Schoufour J, Freak-Poli R, Koolhaas CM, Dhana K, Bramer WM, Franco OH. Levels of ambient air pollution according to mode of transport: a systematic review. LANCET PUBLIC HEALTH 2017; 2:e23-e34. [DOI: 10.1016/s2468-2667(16)30021-4] [Citation(s) in RCA: 144] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 10/18/2016] [Accepted: 10/20/2016] [Indexed: 01/21/2023]
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