Sonali Bose1, Maria José Rosa2, Yueh-Hsiu Mathilda Chiu3, Hsiao-Hsien Leon Hsu2, Qian Di4, Alison Lee5, Itai Kloog6, Ander Wilson7, Joel Schwartz4, Robert O Wright8, Wayne J Morgan9, Brent A Coull10, Rosalind J Wright11. 1. Division of Pulmonary and Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, United States; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1198, New York, NY 10029, United States. 2. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, United States. 3. Department of Pediatrics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1198, New York, NY 10029, United States. 4. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States. 5. Division of Pulmonary and Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, United States. 6. Department of Geography and Environmental Development, Ben-Gurion University of the Negev, BeerSheba, Israel. 7. Department of Statistics, Colorado State University, Fort Collins, CO, United States. 8. Department of Pediatrics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1198, New York, NY 10029, United States; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, United States; Institute for Exposomics Research, Icahn School of Medicine at Mount Sinai, New York, United States. 9. Department of Pediatrics, The University of Arizona, United States. 10. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States. 11. Department of Pediatrics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1198, New York, NY 10029, United States; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, United States; Institute for Exposomics Research, Icahn School of Medicine at Mount Sinai, New York, United States. Electronic address: rosalind.wright@mssm.edu.
Abstract
BACKGROUND: Prenatal particulate air pollution exposure may alter lung growth and development in utero in a time-sensitive and sex-specific manner, resulting in reduced lung function in childhood. Such relationships have not been examined for nitrate (NO3-). METHODS: We implemented Bayesian distributed lag interaction models (BDLIMs) to identify sensitive prenatal windows for the influence of NO3- on lung function at age 7 years, assessing effect modification by fetal sex. Analyses included 191 mother-child dyads. Daily ambient NO3- exposure over pregnancy was estimated using a hybrid chemical transport (Geos-Chem)/land-use regression model. Spirometry was performed at mean (SD) age of 6.99 (0.89) years, with forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) z-scores accounting for child age, sex, height and race/ethnicity. RESULTS: Most mothers were Hispanic (65%) or Black (22%), had ≤ high school education (67%), and never smoked (71%); 17% children had asthma. BDILMs adjusted for maternal age and education and child's asthma identified an early sensitive window of 6-12 weeks gestation, during which increased NO3- was significantly associated with reduced FEV1 z-scores specifically among boys. BDLIM analyses demonstrated similar sex-specific patterns for FVC. CONCLUSION: Early gestational NO3- exposure is associated with reduced child lung function, especially in boys.
BACKGROUND: Prenatal particulate air pollution exposure may alter lung growth and development in utero in a time-sensitive and sex-specific manner, resulting in reduced lung function in childhood. Such relationships have not been examined for nitrate (NO3-). METHODS: We implemented Bayesian distributed lag interaction models (BDLIMs) to identify sensitive prenatal windows for the influence of NO3- on lung function at age 7 years, assessing effect modification by fetal sex. Analyses included 191 mother-child dyads. Daily ambient NO3- exposure over pregnancy was estimated using a hybrid chemical transport (Geos-Chem)/land-use regression model. Spirometry was performed at mean (SD) age of 6.99 (0.89) years, with forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) z-scores accounting for child age, sex, height and race/ethnicity. RESULTS: Most mothers were Hispanic (65%) or Black (22%), had ≤ high school education (67%), and never smoked (71%); 17% children had asthma. BDILMs adjusted for maternal age and education and child's asthma identified an early sensitive window of 6-12 weeks gestation, during which increased NO3- was significantly associated with reduced FEV1 z-scores specifically among boys. BDLIM analyses demonstrated similar sex-specific patterns for FVC. CONCLUSION: Early gestational NO3- exposure is associated with reduced child lung function, especially in boys.
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