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Effects of maternal exposure to fine particulate matter on birth weight in 16 counties across China: a quantile regression analysis

机译:母体暴露在中国16个县出生体重的细颗粒物质:分量回归分析

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摘要

The adverse effects of air pollution during pregnancy have been studied intensively, but mainly utilizing linear and logistic models, which generally yield little information about how air pollution may change the distribution of birth weight in populations. We aimed to examine the effects of fine particulate matter (PM2.5) on quantiles of birth weight, and if effects were heterogeneous in different populations and regions. We used a prospective cohort study of 196 283 singleton term live births from 16 counties across China during 2014-2018. PM2.5 exposure for full gestation, each trimester and last gestational month were assessed by Inverse Distance Weighting interpolation. Linear and quantile regression were conducted to estimate associations between PM2.5 exposure and mean birth weight, as well as birth weight distribution, with birthweight z-score as the main outcome. Stratified analyses and Cochran Q tests were conducted by maternal and geographical characteristics. Each 10 mu g m(-3) increase in average PM2.5 over the entire pregnancy was associated with reduced birthweight z-score (-0.010, 95% CI: -0.015, -0.005) and birth weight (-3.21 g, 95% CI: -5.27, -1.15). In quantile regression, more pronounced effects were observed in lower and intermediate quantiles, with a decrease of 0.021 (95% CI: 0.033, 0.009) and 0.009 (95% CI: 0.015, 0.002) in the 5th and 50th quantiles of birthweight z-score, respectively. Additionally, we observed stronger associations among well-educated, migrant and primiparous mothers as well as in coastal areas. Maternal exposure to PM2.5 was associated with reduction in birth weight, especially for those with very low birth weight. Well-educated, migrant and primiparous mothers, as well as births in coastal areas may be more sensitive to PM2.5 in our study population. The results may be relevant to targeted public health interventions to reduce maternal exposure to air pollution.
机译:人们对怀孕期间空气污染的不利影响进行了深入研究,但主要是利用线性和逻辑模型,这些模型通常很少提供空气污染如何改变人口出生体重分布的信息。我们旨在研究细颗粒物(PM2.5)对出生体重分位数的影响,以及不同人群和地区的影响是否存在异质性。我们使用了一项前瞻性队列研究,对2014-2018年间中国16个县的196 283例单胎足月活产进行了研究。PM2。5.通过反距离加权插值法评估整个妊娠期、每三个月和最后一个妊娠月的暴露情况。采用线性和分位数回归估计PM2之间的相关性。5暴露和平均出生体重,以及出生体重分布,出生体重z评分为主要结果。根据母亲和地理特征进行分层分析和Cochran Q检验。平均PM2每增加10μg m(-3)。5在整个妊娠期间,与出生体重z评分下降(0.010,95%可信区间:-0.015,-0.005)和出生体重下降(3.21克,95%可信区间:-5.27,-1.15)有关。在分位数回归中,在低分位数和中间分位数中观察到更显著的影响,在出生体重z评分的第5和第50分位数中,分别降低了0.021(95%可信区间:0.033,0.009)和0.009(95%可信区间:0.015,0.002)。此外,我们还观察到,受过良好教育的母亲、移民母亲、初产母亲以及沿海地区的母亲之间的联系更强。母亲接触PM2。5与出生体重减轻有关,尤其是对于出生体重非常低的人。受过良好教育的移民和初产母亲以及沿海地区的新生儿可能对PM2更敏感。5在我们的研究人群中。研究结果可能与有针对性的公共卫生干预措施有关,以减少产妇暴露于空气污染的风险。

著录项

  • 来源
    《Pediatric obesity.》 |2021年第5期|共12页
  • 作者单位

    Sun Yat Sen Univ Sch Publ Hlth Guangzhou Peoples R China;

    Chinese Ctr Dis Control &

    Prevent Natl Ctr Women &

    Childrens Hlth Beijing Peoples R China;

    Chinese Acad Sci Inst Geog Sci &

    Nat Resources Res State Key Lab Resources &

    Environm Informat;

    Univ Calif San Diego Dept Family Med &

    Publ Hlth San Diego CA 92103 USA;

    Sun Yat Sen Univ Sch Publ Hlth Guangzhou Peoples R China;

    Sun Yat Sen Univ Sch Publ Hlth Guangzhou Peoples R China;

    Univ Queensland Sch Publ Hlth Brisbane Qld Australia;

    Fudan Univ Sch Publ Hlth Shanghai Peoples R China;

    Chinese Ctr Dis Control &

    Prevent Natl Ctr Women &

    Childrens Hlth Beijing Peoples R China;

    Sun Yat Sen Univ Sch Publ Hlth Guangzhou Peoples R China;

    Sun Yat Sen Univ Sch Publ Hlth Guangzhou Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 儿科学;
  • 关键词

    quantile regression; particulate matter; birth weight;

    机译:分量数回归;颗粒物质;出生体重;

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