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Hyperlocalized Measures of Air Pollution and Preeclampsia in Oakland, California.
Goin, Dana E; Sudat, Sylvia; Riddell, Corinne; Morello-Frosch, Rachel; Apte, Joshua S; Glymour, M Maria; Karasek, Deborah; Casey, Joan A.
Affiliation
  • Goin DE; Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of California, San Francisco, 550 16th Street, San Francisco, California 94158, United States.
  • Sudat S; Research, Development and Dissemination, Sutter Health, Walnut Creek, California 94596, United States.
  • Riddell C; Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California 94720, United States.
  • Morello-Frosch R; Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California 94720, United States.
  • Apte JS; Department of Environmental Science, Policy, and Management & School of Public Health, University of California, Berkeley, Berkeley, California 94720, United States.
  • Glymour MM; Department of Civil and Environmental Engineering & School of Public Health, University of California, Berkeley, Berkeley, California 94720, United States.
  • Karasek D; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California 94158, United States.
  • Casey JA; Preterm Birth Initiative, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California 94158, United States.
Environ Sci Technol ; 55(21): 14710-14719, 2021 11 02.
Article in En | MEDLINE | ID: mdl-34648281
Exposure to nitrogen dioxide (NO2), black carbon (BC), and ultrafine particles (UFPs) during pregnancy may increase the risk of preeclampsia, but previous studies have not assessed hyperlocalized differences in pollutant levels, which may cause exposure misclassification. We used data from Google Street View cars with mobile air monitors that repeatedly sampled NO2, BC, and UFPs every 30 m in Downtown and West Oakland neighborhoods during 2015-2017. Data were linked to electronic health records of pregnant women in the 2014-2016 Sutter Health population, who resided within 120 m of monitoring data (N = 1095), to identify preeclampsia cases. We used G-computation with log-binomial regression to estimate risk differences (RDs) associated with a hypothetical intervention reducing pollutant levels to the 25th percentile observed in our sample on preeclampsia risk, overall and stratified by race/ethnicity. Prevalence of preeclampsia was 6.8%. Median (interquartile range) levels of NO2, BC, and UFPs were 10.8 ppb (9.0, 13.0), 0.34 µg/m3 (0.27, 0.42), and 29.2 # × 103/cm3 (26.6, 32.6), respectively. Changes in the risk of preeclampsia achievable by limiting each pollutant to the 25th percentile were NO2 RD = -1.5 per 100 women (95% confidence interval (CI): -2.5, -0.5); BC RD = -1.0 (95% CI: -2.2, 0.02); and UFP RD = -0.5 (95% CI: -1.8, 0.7). Estimated effects were the largest for non-Latina Black mothers: NO2 RD = -2.8 (95% CI: -5.2, -0.3) and BC RD = -3.0 (95% CI: -6.4, 0.4).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pre-Eclampsia / Air Pollutants / Air Pollution Type of study: Risk_factors_studies Limits: Female / Humans / Pregnancy Country/Region as subject: America do norte Language: En Journal: Environ Sci Technol Year: 2021 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pre-Eclampsia / Air Pollutants / Air Pollution Type of study: Risk_factors_studies Limits: Female / Humans / Pregnancy Country/Region as subject: America do norte Language: En Journal: Environ Sci Technol Year: 2021 Type: Article Affiliation country: United States