Association of Fine Particulate Matter and Its Components with Macrosomia: A Nationwide Birth Cohort Study of 336 Chinese Cities

IF 12.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY ACS Central Science Pub Date : 2023-07-26 DOI:10.1021/acs.est.3c03280
Yuxin Huang, Shenpeng Wu, Huihuan Luo, Ying Yang, Jihong Xu, Ya Zhang, Qiaomei Wang, Haiping Shen, Yiping Zhang, Donghai Yan, Lifang Jiang, Hongping Zhang, Renjie Chen, Haidong Kan, Jing Cai*, Yuan He* and Xu Ma*, 
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Abstract

To examine the associations between macrosomia risk and exposure to fine particulate matter (PM2.5) and its chemical components during pregnancy, we collected birth records between 2010 and 2015 in mainland China from the National Free Preconception Health Examination Project and used satellite-based models to estimate concentrations of PM2.5 mass and five main components, namely, black carbon (BC), organic carbon (OC), nitrate (NO3), sulfate (SO42–), and ammonium (NH4+). Associations between macrosomia risk and prenatal exposure to PM2.5 were examined by logistic regression analysis, and the sensitive subgroups were explored by stratified analyses. Of the 3,248,263 singleton newborns from 336 cities, 165,119 (5.1%) had macrosomia. Each interquartile range increase in concentration of PM2.5 during the entire pregnancy was associated with increased risk of macrosomia (odds ratio (OR) = 1.18; 95% confidence interval (CI), 1.17–1.20). Among specific components, the largest effect estimates were found on NO3 (OR = 1.36; 95% CI, 1.35–1.38) followed by OC (OR = 1.23; 95% CI, 1.22–1.24), NH4+ (OR = 1.22; 95% CI, 1.21–1.23), and BC (OR = 1.21; 95% CI, 1.20–1.22). We also that found boys, women with a normal or lower prepregnancy body mass index, and women with irregular or no folic acid supplementation experienced higher risk of macrosomia associated with PM2.5 exposure.

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细颗粒物及其成分与巨大儿的关系:中国336个城市出生队列研究
为了研究巨大儿风险与妊娠期间暴露于细颗粒物(PM2.5)及其化学成分之间的关系,我们收集了2010年至2015年中国大陆地区国家免费孕前健康检查项目的出生记录,并使用卫星模型估算PM2.5质量浓度和五种主要成分,即黑碳(BC)、有机碳(OC)、硝酸盐(NO3 -)、硫酸盐(SO42 -)和铵(NH4+)。通过logistic回归分析检验巨大儿风险与产前暴露于PM2.5之间的关系,并通过分层分析探讨敏感亚群。336个城市的3248263名单胎新生儿中,有165119名(5.1%)患有巨大儿。在整个怀孕期间,PM2.5浓度每增加一个四分位数范围与巨大儿的风险增加相关(优势比(OR) = 1.18;95%置信区间(CI), 1.17-1.20)。在具体组分中,NO3 -的影响最大(OR = 1.36;95% CI, 1.35-1.38),其次是OC (OR = 1.23;95% ci, 1.22 - 1.24), nh4 + (or = 1.22;95% CI, 1.21 - 1.23)和BC (OR = 1.21;95% ci, 1.20-1.22)。我们还发现,男孩、孕前体重指数正常或较低的女性,以及不规律或没有补充叶酸的女性,与PM2.5暴露相关的巨大儿风险更高。
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来源期刊
ACS Central Science
ACS Central Science Chemical Engineering-General Chemical Engineering
CiteScore
25.50
自引率
0.50%
发文量
194
审稿时长
10 weeks
期刊介绍: ACS Central Science publishes significant primary reports on research in chemistry and allied fields where chemical approaches are pivotal. As the first fully open-access journal by the American Chemical Society, it covers compelling and important contributions to the broad chemistry and scientific community. "Central science," a term popularized nearly 40 years ago, emphasizes chemistry's central role in connecting physical and life sciences, and fundamental sciences with applied disciplines like medicine and engineering. The journal focuses on exceptional quality articles, addressing advances in fundamental chemistry and interdisciplinary research.
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