Ashwini Lakshmanan1, Yueh-Hsiu Mathilda Chiu2, Brent A Coull3,4, Allan C Just4, Sarah L Maxwell5, Joel Schwartz4, Alexandros Gryparis6, Itai Kloog7, Rosalind J Wright2,8, Robert O Wright9,8. 1. Division of Neonatal Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA. 2. Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 3. Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA. 4. Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA. 5. Channing Laboratory, Department of Medicine, Brigham and Women's Hospital & Harvard Medical School, Boston, MA. 6. Department of Hygiene, Epidemiology and Medical Statistics, Medical School of Athens, Athens, Greece. 7. Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beersheba, Israel. 8. The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 9. Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Abstract
BACKGROUND: Prenatal traffic-related air pollution exposure is linked to adverse birth outcomes. However, modifying effects of maternal body mass index (BMI) and infant sex remain virtually unexplored. OBJECTIVES: We examined whether associations between prenatal air pollution and birth weight differed by sex and maternal BMI in 670 urban ethnically mixed mother-child pairs. METHODS: Black carbon (BC) levels were estimated using a validated spatio-temporal land-use regression (LUR) model; fine particulate matter (PM2.5) was estimated using a hybrid LUR model incorporating satellite-derived Aerosol Optical Depth measures. Using stratified multivariable-adjusted regression analyses, we examined whether associations between prenatal air pollution and calculated birth weight for gestational age (BWGA) z-scores varied by sex and maternal pre-pregnancy BMI. RESULTS: Median birth weight was 3.3±0.6kg; 33% of mothers were obese (BMI ≥30kg/m(3)). In stratified analyses, the association between higher PM2.5 and lower birth weight was significant in males of obese mothers (-0.42 unit of BWGA z-score change per IQR increase in PM2.5, 95%CI: -0.79 to -0.06) ( PM2.5×sex×obesity Pinteraction=0.02). Results were similar for BC models (Pinteraction=0.002). CONCLUSIONS: Associations of prenatal exposure to traffic-related air pollution and reduced birth weight were most evident in males born to obese mothers.
BACKGROUND: Prenatal traffic-related air pollution exposure is linked to adverse birth outcomes. However, modifying effects of maternal body mass index (BMI) and infant sex remain virtually unexplored. OBJECTIVES: We examined whether associations between prenatal air pollution and birth weight differed by sex and maternal BMI in 670 urban ethnically mixed mother-child pairs. METHODS: Black carbon (BC) levels were estimated using a validated spatio-temporal land-use regression (LUR) model; fine particulate matter (PM2.5) was estimated using a hybrid LUR model incorporating satellite-derived Aerosol Optical Depth measures. Using stratified multivariable-adjusted regression analyses, we examined whether associations between prenatal air pollution and calculated birth weight for gestational age (BWGA) z-scores varied by sex and maternal pre-pregnancy BMI. RESULTS: Median birth weight was 3.3±0.6kg; 33% of mothers were obese (BMI ≥30kg/m(3)). In stratified analyses, the association between higher PM2.5 and lower birth weight was significant in males of obese mothers (-0.42 unit of BWGA z-score change per IQR increase in PM2.5, 95%CI: -0.79 to -0.06) ( PM2.5×sex×obesity Pinteraction=0.02). Results were similar for BC models (Pinteraction=0.002). CONCLUSIONS: Associations of prenatal exposure to traffic-related air pollution and reduced birth weight were most evident in males born to obese mothers.
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