Twin growth discordance in association with maternal exposure to fine particulate matter and its chemical constituents during late pregnancy.

Clicks: 284
ID: 60561
2019
Twin growth discordance is one of the leading causes of perinatal mortality in twin pregnancies. Whether prenatal exposure to fine particle (PM) air pollution is associated with twin growth discordance have not been studied yet.To evaluate the associations of prenatal exposure to PM and its chemical constituents with twin growth discordance.This study included 1917 twin pairs and their mothers drawn from a previous twin birth cohort at the Shanghai First Maternity and Infant hospital in Shanghai, China. Exposure to PM total mass and 6 key chemical constituents during the whole pregnancy and each trimester of pregnancy was represented by satellite-based models.Maternal exposures to PM total mass and chemical constituents of sulfate (SO) and ammonium (NH) during the third trimester were significantly associated with increased within-pair birth weight difference and intertwin birth weight discordance. The within-pair birth weight difference increased by 30.6 g (β = 30.6, 95% CI, 4.4-56.9), 19.2 g (β = 19.2, 95% CI, 0.2-38.1) and 33.2 g (β = 33.2, 95% CI, 7.9-58.6) for an IQR increase in PM total mass, SO and NH exposure, respectively. While the intertwin birth weight discordance increased by 1.3% (β = 1.3, 95% CI, 0.3-2.2), 0.9% (β = 0.9, 95% CI, 0.2-1.6) and 1.4% (β = 1.4, 95% CI, 0.4-2.3) for the same exposure metrics. Moreover, higher SO and NH exposure was also associated with increased risk of twin growth discordance in linear dose-response manners. Compared to the lowest quartile of SO (OR = 2.51, 95% CI, 1.08-5.82) and NH (OR = 2.97, 95% CI, 1.16-7.58) exposure, the odds of twin growth discordance were doubled in highest quartile of exposure.Our results suggest that fine particle air pollution may be a risk factor for twin growth discordance. Late pregnancy seems to be a critical window for the effects of PM exposure on fetal growth in twins.
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qiao2019twinenvironment Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Qiao, Ping;Zhao, Yan;Cai, Jing;van Donkelaar, Aaron;Martin, Randall;Ying, Hao;Kan, Haidong;
Journal Environment international
Year 2019
DOI S0160-4120(19)32266-4
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