When, where, and what? characterizing personal PM2.5 exposure in periurban India by integrating GPS, wearable camera, and ambient and personal monitoring data
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- dc.contributor.author Milà, Carles
- dc.contributor.author Salmon, Maëlle
- dc.contributor.author Sanchez, Margaux
- dc.contributor.author Ambros, Albert
- dc.contributor.author Bhogadi, Santhi
- dc.contributor.author Sreekanth, V.
- dc.contributor.author Nieuwenhuijsen, Mark J.
- dc.contributor.author Kinra, Sanjay
- dc.contributor.author Marshall, Julian D.
- dc.contributor.author Tonne, Cathryn
- dc.date.accessioned 2019-07-25T07:45:21Z
- dc.date.issued 2018
- dc.description.abstract Evidence identifying factors that influence personal exposure to air pollutants in low- and middle-income countries is scarce. Our objective was to identify the relative contribution of the time of the day ( when?), location ( where?), and individuals' activities ( what?) to PM2.5 personal exposure in periurban South India. We conducted a panel study in which 50 participants were monitored in up to six 24-h sessions ( n = 227). We integrated data from multiple sources: continuous personal and ambient PM2.5 concentrations; questionnaire, GPS, and wearable camera data; and modeled long-term exposure at residence. Mean 24-h personal exposure was 43.8 μg/m3 (SD 24.6) for men and 39.7 μg/m3 (SD 12.0) for women. Temporal patterns in exposure varied between women (peak exposure in the morning) and men (more exposed throughout the rest of the day). Most exposure occurred at home, 67% for men and 89% for women, which was proportional to the time spent in this location. Ambient daily PM2.5 was an important predictor of 24-h personal exposure for both genders. Among men, activities predictive of higher hourly average exposure included presence near food preparation, in the kitchen, in the vicinity of smoking, or in industry. For women, predictors of exposure were largely related to cooking.
- dc.description.sponsorship The research leading to these results received funding from the European Research Council under ERC Grant Agreement number 336167 for the CHAI Project. The third wave of data collection and village socio-demographic surveys for the APCAPS study were funded by the Wellcome Trust (Grant 084674/Z). C.T. was funded through a Ramón y Cajal fellowship (RYC-2015-17402) awarded by the Spanish Ministry of Economy and Competitiveness. We thank all participants and study teams of the APCAPS and CHAI studies. We also thank the three anonymous reviewers for their constructive comments.
- dc.format.mimetype application/pdf
- dc.identifier.citation Milà C, Salmon M, Sanchez M, Ambrós A, Bhogadi S, Sreekanth V et al. When, where, and what? characterizing personal PM2.5 exposure in periurban India by integrating GPS, wearable camera, and ambient and personal monitoring data. Environ Sci Technol. 2018;52(22):13481-90. DOI: 10.1021/acs.est.8b03075
- dc.identifier.doi http://dx.doi.org/10.1021/acs.est.8b03075
- dc.identifier.issn 0013-936X
- dc.identifier.uri http://hdl.handle.net/10230/42177
- dc.language.iso eng
- dc.publisher American Chemical Society (ACS)
- dc.relation.ispartof Environmental Science & Technology. 2018;52(22):13481-90
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/336167
- dc.rights This document is the Accepted Manuscript version of a Published Work that appeared in final form in Environmental science & technology, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see http://dx.doi.org/10.1021/acs.est.8b03075.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.title When, where, and what? characterizing personal PM2.5 exposure in periurban India by integrating GPS, wearable camera, and ambient and personal monitoring data
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion