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

doi:10.1088/1748-9326/abf58c

	Effects of maternal exposure to fine particulate matter on birth weight in 16 counties across China: a quantile regression analysis
	Wu, Kaipu 1; Hu, Huanqing 6; Ren, Zhoupeng 7; Benmarhnia, Tarik 2,3; Ren, Meng 1; He, Simin 1; Knibbs, Luke D.4; Meng, Xia 5; Di, Jiangli 6; Huang, Cunrui 1
刊名	ENVIRONMENTAL RESEARCH LETTERS
	2021-05-01
卷号	16 期号:5 页码:12
关键词	quantile regression particulate matter birth weight
ISSN号	1748-9326
DOI	10.1088/1748-9326/abf58c
通讯作者	Di, Jiangli(dijiangli@chinawch.org.cn) ; Huang, Cunrui(huangcr@mail.sysu.edu.cn) ; Wang, Qiong(wangqiong@mail.sysu.edu.cn)
英文摘要	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.
资助项目	National Key R&D Program of China[2018YFA0606200] ; National Natural Science Foundation of China[42075178] ; National Natural Science Foundation of China[81602819] ; Guangdong Basic and Applied Basic Research Foundation[2021A1515011947] ; Fundamental Research Funds for the Central Universities[19ykpy88] ; Guangdong Provincial Natural Science Foundation Team Project[2018B030312005]
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	IOP PUBLISHING LTD
WOS记录号	WOS:000646864300001
资助机构	National Key R&D Program of China ; National Natural Science Foundation of China ; Guangdong Basic and Applied Basic Research Foundation ; Fundamental Research Funds for the Central Universities ; Guangdong Provincial Natural Science Foundation Team Project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161740]
专题	中国科学院地理科学与资源研究所
通讯作者	Di, Jiangli; Huang, Cunrui; Wang, Qiong
作者单位	1.Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou, Peoples R China 2.Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA 3.Univ Calif San Diego, Dept Family Med & Publ Hlth, San Diego, CA 92103 USA 4.Univ Queensland, Sch Publ Hlth, Brisbane, Qld, Australia 5.Fudan Univ, Sch Publ Hlth, Shanghai, Peoples R China 6.Chinese Ctr Dis Control & Prevent, Natl Ctr Women & Childrens Hlth, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wu, Kaipu,Hu, Huanqing,Ren, Zhoupeng,et al. Effects of maternal exposure to fine particulate matter on birth weight in 16 counties across China: a quantile regression analysis[J]. ENVIRONMENTAL RESEARCH LETTERS,2021,16(5):12.
APA	Wu, Kaipu.,Hu, Huanqing.,Ren, Zhoupeng.,Benmarhnia, Tarik.,Ren, Meng.,...&Wang, Qiong.(2021).Effects of maternal exposure to fine particulate matter on birth weight in 16 counties across China: a quantile regression analysis.ENVIRONMENTAL RESEARCH LETTERS,16(5),12.
MLA	Wu, Kaipu,et al."Effects of maternal exposure to fine particulate matter on birth weight in 16 counties across China: a quantile regression analysis".ENVIRONMENTAL RESEARCH LETTERS 16.5(2021):12.