Maternal Pm2.5 Exposure During Gestation and Offspring Neurodevelopment: Findings from a Prospective Birth Cohort Study

28 Pages Posted: 2 Apr 2022

See all articles by Xin Xu

Xin Xu

Nanjing Medical University

Shiyao Tao

Nanjing Medical University

Lei Huang

Nanjing Medical University

Jiangbo Du

Nanjing Medical University

Cong Liu

Fudan University

Yangqian Jiang

Nanjing Medical University

Tao Jiang

Nanjing Medical University - School of Public Health

Hong Lv

Nanjing Medical University

Qun Lu

Nanjing Medical University

Qingxia Meng

affiliation not provided to SSRN

Xiaoyan Wang

affiliation not provided to SSRN

Rui Qin

Nanjing Medical University

Cong Liu

Nanjing Medical University

Hongxia Ma

Nanjing Medical University - Department of Epidemiology

Guangfu Jin

Nanjing Medical University - Department of Epidemiology

Yankai Xia

Nanjing Medical University - School of Public Health; Nanjing Medical University - State Key Laboratory of Reproductive Medicine; Nanjing Medical University - Key Laboratory of Modern Toxicology

Haidong Kan

Fudan University - Key Laboratory of Public Health Safety

Yuan Lin

Nanjing Medical University

Rong Shen

affiliation not provided to SSRN

Zhibin Hu

Nanjing Medical University

Abstract

Emerging data has suggested the potential role of prenatal PM 2.5 exposure as a neurotoxin for offspring. However, the existing results are equivocal, and no study has examined the effects of complex chemical constituents of the particular matter on offspring neurodevelopment. Therefore, we aimed to investigate the associations of prenatal exposure to PM 2.5 and to specific chemical constituents with offspring neurodevelopment in a prospective birth cohort study conducted in Jiangsu, China. A total of 1,531 children who had available data on daily PM 2.5 exposure prenatally and completed assessment on neurodevelopment at 1 year old were enrolled. We used the high-performance machine-learning model to estimate daily PM 2.5 exposure concentrations at 1 km spatial revolution, and the combined geoscience-statistical model to evaluate average concentrations of six chemical constituents [organic matter(OM), black carbon(BC), sulfate(SO 4 2- ), nitrate(NO 3 - ), ammonium(NH 4 + ), and soil dust(Dust)]. Neurodevelopment of children was assessed using Bayley-Ⅲ Screening Test. After adjusting for confounding factors, the risk of non-optimal gross motor development increased by 31% for every 10μg/m 3 increase in average PM 2.5 exposure during gestation (aRR: 1.31; 95%CI: 1.04, 1.63). Further analysis of PM 2.5 constituents showed that prenatal exposed to high SO 4 2- was associated with the risk of non-optimal gross motor development (aRR: 1.40; 95%CI: 1.09, 1.81). Null associations were observed for the rest four domains. Collectively, our study suggested that prenatal exposure to PM 2.5 , particular with high SO 4 2- concentration, was associated with children’s non-optimal gross motor development at 1 year old. The short- and long-term influences of perinatal PM 2.5 exposure on children neurodevelopment warrants further investigation.

Keywords: fine particulate matter, Chemical constituents, Birth Cohort, neurodevelopment

Suggested Citation

Xu, Xin and Tao, Shiyao and Huang, Lei and Du, Jiangbo and Liu, Cong and Jiang, Yangqian and Jiang, Tao and Lv, Hong and Lu, Qun and Meng, Qingxia and Wang, Xiaoyan and Qin, Rui and Liu, Cong and Ma, Hongxia and Jin, Guangfu and Xia, Yankai and Kan, Haidong and Lin, Yuan and Shen, Rong and Hu, Zhibin, Maternal Pm2.5 Exposure During Gestation and Offspring Neurodevelopment: Findings from a Prospective Birth Cohort Study. Available at SSRN: https://ssrn.com/abstract=4073415 or http://dx.doi.org/10.2139/ssrn.4073415

Xin Xu

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Shiyao Tao

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Lei Huang

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Jiangbo Du

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Cong Liu

Fudan University ( email )

Beijing West District Baiyun Load 10th
Shanghai, 100045
China

Yangqian Jiang

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Tao Jiang

Nanjing Medical University - School of Public Health ( email )

Hong Lv

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Qun Lu

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Qingxia Meng

affiliation not provided to SSRN ( email )

Xiaoyan Wang

affiliation not provided to SSRN ( email )

Rui Qin

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Cong Liu

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Hongxia Ma

Nanjing Medical University - Department of Epidemiology ( email )

Nanjing
China

Guangfu Jin

Nanjing Medical University - Department of Epidemiology ( email )

Nanjing
China

Yankai Xia

Nanjing Medical University - School of Public Health

Nanjing
China

Nanjing Medical University - State Key Laboratory of Reproductive Medicine ( email )

Nanjing
China

Nanjing Medical University - Key Laboratory of Modern Toxicology ( email )

Nanjing
China

Haidong Kan

Fudan University - Key Laboratory of Public Health Safety ( email )

Yuan Lin

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Rong Shen

affiliation not provided to SSRN ( email )

Zhibin Hu (Contact Author)

Nanjing Medical University ( email )

300 Guangzhou Road
Nanjing, 210029
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
37
Abstract Views
277
PlumX Metrics