{"title":"Association of Fine Particulate Matter and Its Components with Macrosomia: A Nationwide Birth Cohort Study of 336 Chinese Cities","authors":"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*, ","doi":"10.1021/acs.est.3c03280","DOIUrl":null,"url":null,"abstract":"<p >To examine the associations between macrosomia risk and exposure to fine particulate matter (PM<sub>2.5</sub>) 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 PM<sub>2.5</sub> mass and five main components, namely, black carbon (BC), organic carbon (OC), nitrate (NO<sub>3</sub><sup>–</sup>), sulfate (SO<sub>4</sub><sup>2–</sup>), and ammonium (NH<sub>4</sub><sup>+</sup>). Associations between macrosomia risk and prenatal exposure to PM<sub>2.5</sub> 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 PM<sub>2.5</sub> 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 NO<sub>3</sub><sup>–</sup> (OR = 1.36; 95% CI, 1.35–1.38) followed by OC (OR = 1.23; 95% CI, 1.22–1.24), NH<sub>4</sub><sup>+</sup> (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 PM<sub>2.5</sub> exposure.</p>","PeriodicalId":36,"journal":{"name":"环境科学与技术","volume":"57 31","pages":"11465–11475"},"PeriodicalIF":11.3000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学与技术","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.est.3c03280","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences.
Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.