确定孕前和妊娠期空气污染暴露对出生体重的关键窗口:一项前瞻性队列研究。

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Jiawen Liao, Yi Zhang, Zhenchun Yang, Chenyu Qiu, Wu Chen, Junfeng Jim Zhang, Kiros Berhane, Zhipeng Bai, Bin Han, Jia Xu, Yong-Hui Jiang, Frank Gilliland, Weili Yan, Guoying Huang, Zhanghua Chen
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引用次数: 0

摘要

背景:很少有研究评估在怀孕前和怀孕期间空气污染暴露与出生体重的关系。方法:利用2016-2018年中国上海14220名孕妇和新生儿组成的先入为主队列,我们旨在评估在先入为主和妊娠期NO2和PM2.5暴露与包括足月出生体重、出生体重Z评分、,胎龄小(SGA)和胎龄大(LGA)。使用线性和逻辑回归来估计3个月的孕前和妊娠期平均空气污染暴露的相关性;并使用分布式滞后模型(DLM)来确定从预设想到交付的每周分辨率的临界暴露窗口。研究了两种污染物模型和儿童的性别特异性关联。结果:在控制协变量后,妊娠中期和晚期NO2暴露量增加一个标准差(SD)(11.5μg/m3,相当于6.1 ppb),SGA分别增加13%(95%置信区间:2-26%)和14%(95%可信区间:1-29%);妊娠晚期PM2.5暴露量增加一SD(9.6微克/立方米)与SGA增加15%(95%可信区间:1-31%)相关。未发现出生体重、出生体重Z评分和LGA的结果之间存在关联。DLM发现,妊娠22-32周是一个关键窗口,此时NO2暴露与SGA的相关性最强。女性新生儿与空气污染暴露的相关性往往比男性新生儿更强。然而,未发现孕前期空气污染暴露与出生体重结果之间存在显著关联。结论:与先前的研究一致,我们发现妊娠中后期暴露于空气污染与不良出生体重结果有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identifying critical windows of air pollution exposure during preconception and gestational period on birthweight: a prospective cohort study.

Identifying critical windows of air pollution exposure during preconception and gestational period on birthweight: a prospective cohort study.

Identifying critical windows of air pollution exposure during preconception and gestational period on birthweight: a prospective cohort study.

Identifying critical windows of air pollution exposure during preconception and gestational period on birthweight: a prospective cohort study.

Background: Few studies have assessed air pollution exposure association with birthweight during both preconception and gestational periods.

Methods: Leveraging a preconception cohort consisting of 14220 pregnant women and newborn children in Shanghai, China during 2016-2018, we aim to assess associations of NO2 and PM2.5 exposure, derived from high-resolution spatial-temporal models, during preconception and gestational periods with outcomes including term birthweight, birthweight Z-score, small-for-gestational age (SGA) and large-for-gestational age (LGA). Linear and logistic regressions were used to estimate 3-month preconception and trimester-averaged air pollution exposure associations; and distributed lag models (DLM) were used to identify critical exposure windows at the weekly resolution from preconception to delivery. Two-pollutant models and children's sex-specific associations were explored.

Results: After controlling for covariates, one standard deviation (SD) (11.5 μg/m3, equivalent to 6.1 ppb) increase in NO2 exposure during the second and the third trimester was associated with 13% (95% confidence interval: 2 - 26%) and 14% (95% CI: 1 - 29%) increase in SGA, respectively; and one SD (9.6 μg/m3) increase in PM2.5 exposure during the third trimester was associated with 15% (95% CI: 1 - 31%) increase in SGA. No association have been found for outcomes of birthweight, birthweight Z-score and LGA. DLM found that gestational weeks 22-32 were a critical window, when NO2 exposure had strongest associations with SGA. The associations of air pollution exposure tended to be stronger in female newborns than in male newborns. However, no significant associations of air pollution exposure during preconception period on birthweight outcomes were found.

Conclusion: Consistent with previous studies, we found that air pollution exposure during mid-to-late pregnancy was associated with adverse birthweight outcomes.

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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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