Alison Lee1, Hsiao-Hsien Leon Hsu2, Yueh-Hsiu Mathilda Chiu2, Sonali Bose1, Maria José Rosa3, Itai Kloog4, Ander Wilson5, Joel Schwartz6, Sheldon Cohen7, Brent A Coull8, Robert O Wright2, Rosalind J Wright9. 1. Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY. 2. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Pediatrics, Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY. 3. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY. 4. Faculty of Humanities and Social Sciences, Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel. 5. Department of Statistics, Colorado State University, Fort Collins, Colo. 6. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Mass. 7. Department of Psychology, Carnegie Mellon University, Pittsburgh, Pa. 8. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Mass. 9. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Pediatrics, Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: rosalind.wright@mssm.edu.
Abstract
BACKGROUND: The impact of prenatal ambient air pollution on child asthma may be modified by maternal stress, child sex, and exposure dose and timing. OBJECTIVE: We prospectively examined associations between coexposure to prenatal particulate matter with an aerodynamic diameter of less than 2.5 microns (PM2.5) and maternal stress and childhood asthma (n = 736). METHODS: Daily PM2.5 exposure during pregnancy was estimated using a validated satellite-based spatiotemporally resolved prediction model. Prenatal maternal negative life events (NLEs) were dichotomized around the median (high: NLE ≥ 3; low: NLE < 3). We used Bayesian distributed lag interaction models to identify sensitive windows for prenatal PM2.5 exposure on children's asthma by age 6 years, and determine effect modification by maternal stress and child sex. RESULTS: Bayesian distributed lag interaction models identified a critical window of exposure (19-23 weeks' gestation, cumulative odds ratio, 1.15; 95% CI, 1.03-1.26; per interquartile range [1.7 μg/m3] increase in prenatal PM2.5 level) during which children concomitantly exposed to prenatal PM2.5 and maternal stress had increased risk of asthma. No significant association was seen in children born to women reporting low prenatal stress. When examining modifying effects of prenatal stress and fetal sex, we found that boys born to mothers with higher prenatal stress were most vulnerable (19-21 weeks' gestation; cumulative odds ratio, 1.28; 95% CI, 1.15-1.41; per interquartile range increase in PM2.5). CONCLUSIONS: Prenatal PM2.5 exposure during sensitive windows is associated with increased risk of child asthma, especially in boys concurrently exposed to elevated maternal stress.
BACKGROUND: The impact of prenatal ambient air pollution on child asthma may be modified by maternal stress, child sex, and exposure dose and timing. OBJECTIVE: We prospectively examined associations between coexposure to prenatal particulate matter with an aerodynamic diameter of less than 2.5 microns (PM2.5) and maternal stress and childhood asthma (n = 736). METHODS: Daily PM2.5 exposure during pregnancy was estimated using a validated satellite-based spatiotemporally resolved prediction model. Prenatal maternal negative life events (NLEs) were dichotomized around the median (high: NLE ≥ 3; low: NLE < 3). We used Bayesian distributed lag interaction models to identify sensitive windows for prenatal PM2.5 exposure on children's asthma by age 6 years, and determine effect modification by maternal stress and child sex. RESULTS: Bayesian distributed lag interaction models identified a critical window of exposure (19-23 weeks' gestation, cumulative odds ratio, 1.15; 95% CI, 1.03-1.26; per interquartile range [1.7 μg/m3] increase in prenatal PM2.5 level) during which children concomitantly exposed to prenatal PM2.5 and maternal stress had increased risk of asthma. No significant association was seen in children born to women reporting low prenatal stress. When examining modifying effects of prenatal stress and fetal sex, we found that boys born to mothers with higher prenatal stress were most vulnerable (19-21 weeks' gestation; cumulative odds ratio, 1.28; 95% CI, 1.15-1.41; per interquartile range increase in PM2.5). CONCLUSIONS: Prenatal PM2.5 exposure during sensitive windows is associated with increased risk of child asthma, especially in boys concurrently exposed to elevated maternal stress.
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