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dc.contributor.authorFleisch, Abby F.en_US
dc.contributor.authorGold, Diane R.en_US
dc.contributor.authorRifas-Shiman, Sheryl L.en_US
dc.contributor.authorKoutrakis, Petrosen_US
dc.contributor.authorSchwartz, Joel D.en_US
dc.contributor.authorKloog, Itaien_US
dc.contributor.authorMelly, Stevenen_US
dc.contributor.authorCoull, Brent A.en_US
dc.contributor.authorZanobetti, Antonellaen_US
dc.contributor.authorGillman, Matthew W.en_US
dc.contributor.authorOken, Emilyen_US
dc.date.accessioned2014-05-06T16:16:10Z
dc.date.issued2014en_US
dc.identifier.citationFleisch, A. F., D. R. Gold, S. L. Rifas-Shiman, P. Koutrakis, J. D. Schwartz, I. Kloog, S. Melly, et al. 2014. “Air Pollution Exposure and Abnormal Glucose Tolerance during Pregnancy: The Project Viva Cohort.” Environmental Health Perspectives 122 (4): 378-383. doi:10.1289/ehp.1307065. http://dx.doi.org/10.1289/ehp.1307065.en
dc.identifier.issn0091-6765en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12152841
dc.description.abstractBackground: Exposure to fine particulate matter (PM with diameter ≤ 2.5 μm; PM2.5) has been linked to type 2 diabetes mellitus, but associations with hyperglycemia in pregnancy have not been well studied. Methods: We studied Boston, Massachusetts–area pregnant women without known diabetes. We identified impaired glucose tolerance (IGT) and gestational diabetes mellitus (GDM) during pregnancy from clinical glucose tolerance tests at median 28.1 weeks gestation. We used residential addresses to estimate second-trimester PM2.5 and black carbon exposure via a central monitoring site and spatiotemporal models. We estimated residential traffic density and roadway proximity as surrogates for exposure to traffic-related air pollution. We performed multinomial logistic regression analyses adjusted for sociodemographic covariates, and used multiple imputation to account for missing data. Results: Of 2,093 women, 65 (3%) had IGT and 118 (6%) had GDM. Second-trimester spatiotemporal exposures ranged from 8.5 to 15.9 μg/m3 for PM2.5 and from 0.1 to 1.7 μg/m3 for black carbon. Traffic density was 0–30,860 vehicles/day × length of road (kilometers) within 100 m; 281 (13%) women lived ≤ 200 m from a major road. The prevalence of IGT was elevated in the highest (vs. lowest) quartile of exposure to spatiotemporal PM2.5 [odds ratio (OR) = 2.63; 95% CI: 1.15, 6.01] and traffic density (OR = 2.66; 95% CI: 1.24, 5.71). IGT also was positively associated with other exposure measures, although associations were not statistically significant. No pollutant exposures were positively associated with GDM. Conclusions: Greater exposure to PM2.5 and other traffic-related pollutants during pregnancy was associated with IGT but not GDM. Air pollution may contribute to abnormal glycemia in pregnancy. Citation: Fleisch AF, Gold DR, Rifas-Shiman SL, Koutrakis P, Schwartz JD, Kloog I, Melly S, Coull BA, Zanobetti A, Gillman MW, Oken E. 2014. Air pollution exposure and abnormal glucose tolerance during pregnancy: the Project Viva Cohort. Environ Health Perspect 122:378–383; http://dx.doi.org/10.1289/ehp.1307065en
dc.language.isoen_USen
dc.publisherNational Institute of Environmental Health Sciencesen
dc.relation.isversionofdoi:10.1289/ehp.1307065en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984217/pdf/en
dash.licenseLAAen_US
dc.titleAir Pollution Exposure and Abnormal Glucose Tolerance during Pregnancy: The Project Viva Cohorten
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalEnvironmental Health Perspectivesen
dash.depositing.authorGold, Diane R.en_US
dc.date.available2014-05-06T16:16:10Z
dc.identifier.doi10.1289/ehp.1307065*
dash.authorsorderedfalse
dash.contributor.affiliatedMelly, Steven
dash.contributor.affiliatedRifas-Shiman, Sheryl
dash.contributor.affiliatedGold, Diane
dash.contributor.affiliatedGillman, Matthew
dash.contributor.affiliatedKoutrakis, Petros
dash.contributor.affiliatedOken, Emily
dash.contributor.affiliatedZanobetti, Antonella
dash.contributor.affiliatedSchwartz, Joel
dc.identifier.orcid0000-0003-2513-3339
dc.identifier.orcid0000-0002-2557-150X


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