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Associations Between Weekly Air Pollution Exposure and Congenital Heart Disease.

Science of the total environment(2021)

Cited 48|Views28
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Abstract
Background: The topic of congenital heart diseases (CHDs) has attracted more and more attentions. Accumulating evidence suggests that exposure to air pollutants during pregnancy is associated with CHDs, yet the results are inconsistent and study about weekly exposure is few. Our study evaluated the association between weekly air pollution and CHDs in Hefei, China. Materials and methods: Daily CHDs admission data were obtained from eight hospitals in Hefei from October 2015 to September 2017. Meteorological data and air quality were collected from China Meteorological Data Network. Distributed lag nonlinear model (DLNM) considering both the lag effect of exposure factors and the nonlinear relationship of exposure-reaction was used to assess the effect of weekly air pollutants exposure on CHDs admission. Results: During the study period, totally 47,046 cases of perinatal infants were recruited, and the incidence of CHDs was 9.71 per thousand. The findings showed PM2.5. PM10, SO2 and NO2 significantly increased the risk of CHDs. Each 10 mu g/m(3) increase in PM2.5 during gestational weeks 20-26 increased the risk of CHDs. The susceptibility windows of PM10 (weeks 0-2 and weeks 25-29 of pregnancy), SO2 (weeks 8-16 and weeks 29-38) and NO2 (week 40), while the strongest effects of these 4 pollutants on CHDs were observed in week 22 (RR = 1.034.95% CI: 1.007-1.062), week 0 (RR = 1.081, 95% 1.02-1.146), week 37 (RR = 1.528, 95% CI: 1.085-2.153) and week 40 (RR = 1.171, 95% CI: 1.006-1.364), respectively. Conclusions: Air pollutants (SO2, NO2, PM10, and PM2.5) exposure could increase the risk of CHDs, while the most crucial susceptibility windows for the exposure were mainly in the second and third trimesters. Boys seemed to be more sensitive to air pollution. Our study contributes to the knowledge of the association between maternal exposure to air pollution and CHDs, but the associations need to be verified by further studies. (C) 2020 Elsevier B.V. All rights reserved.
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Key words
Congenital heart diseases,Air pollution,Poisson regression,Distributed lag nonlinear model,Time series study
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