Qingyang Xiao1, Hanyi Chen2, Matthew J Strickland3, Haidong Kan4, Howard H Chang5, Mitchel Klein1, Chen Yang6, Xia Meng1, Yang Liu7. 1. Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA. 2. Science Research and Information Management Section, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China; Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China. 3. School of Community Health Sciences, University of Nevada - Reno, Reno, NV, USA. 4. School of Public Health, Fudan University, Shanghai, China. 5. Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA. 6. Section of Cancer and Injury Prevention, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China; Pudong Institute of Preventive Medicine, Fudan University, Shanghai, China. 7. Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: yang.liu@emory.edu.
Abstract
BACKGROUND: Few studies have estimated effects of maternal PM2.5 exposure on birth outcomes in China due to the lack of historical air pollution data. OBJECTIVES: We estimated the associations between maternal PM2.5 exposure and birth outcomes using gap-filled satellite estimates in Shanghai, China. METHODS: We obtained birth registration records of 132,783 singleton live births during 2011-2014 in Shanghai. PM2.5 exposures were assessed from satellite-derived estimates or central-site measurements. Linear and logistic regressions were used to estimate associations with term birth weight and term low birth weight (LBW), respectively. Logistic and discrete-time survival models were used to estimate associations with preterm birth. Effect modification by maternal age and parental education levels was investigated. RESULTS: A 10 μg/m3 increase in gap-filled satellite-based whole-pregnancy PM2.5 exposure was associated with a -12.85 g (95% CI: -18.44, -7.27) change in term birth weight, increased risk of preterm birth (OR 1.27, 95% CI: 1.20, 1.36), and increased risk of term LBW (OR 1.22, 95% CI: 1.06, 1.41). Sensitivity analyses during 2013-2014, when ground PM2.5 measurements were available, showed that the health associations using gap-filled satellite PM2.5 concentrations were higher than those obtained using satellite PM2.5 concentrations without accounting for missingness. The health associations using gap-filled satellite PM2.5 had similar magnitudes to those using central-site measurements, but with narrower confidence intervals. CONCLUSIONS: The magnitude of associations between maternal PM2.5 exposure and adverse birth outcomes in Shanghai was higher than previous findings. One reason could be reduced exposure error of the gap-filled high-resolution satellite PM2.5 estimates.
BACKGROUND: Few studies have estimated effects of maternal PM2.5 exposure on birth outcomes in China due to the lack of historical air pollution data. OBJECTIVES: We estimated the associations between maternal PM2.5 exposure and birth outcomes using gap-filled satellite estimates in Shanghai, China. METHODS: We obtained birth registration records of 132,783 singleton live births during 2011-2014 in Shanghai. PM2.5 exposures were assessed from satellite-derived estimates or central-site measurements. Linear and logistic regressions were used to estimate associations with term birth weight and term low birth weight (LBW), respectively. Logistic and discrete-time survival models were used to estimate associations with preterm birth. Effect modification by maternal age and parental education levels was investigated. RESULTS:A 10 μg/m3 increase in gap-filled satellite-based whole-pregnancy PM2.5 exposure was associated with a -12.85 g (95% CI: -18.44, -7.27) change in term birth weight, increased risk of preterm birth (OR 1.27, 95% CI: 1.20, 1.36), and increased risk of term LBW (OR 1.22, 95% CI: 1.06, 1.41). Sensitivity analyses during 2013-2014, when ground PM2.5 measurements were available, showed that the health associations using gap-filled satellite PM2.5 concentrations were higher than those obtained using satellite PM2.5 concentrations without accounting for missingness. The health associations using gap-filled satellite PM2.5 had similar magnitudes to those using central-site measurements, but with narrower confidence intervals. CONCLUSIONS: The magnitude of associations between maternal PM2.5 exposure and adverse birth outcomes in Shanghai was higher than previous findings. One reason could be reduced exposure error of the gap-filled high-resolution satellite PM2.5 estimates.
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