Abstract

Although previous studies have proposed an association between maternal exposure to fine particulate matter (PM2.5) and the risk of gestational diabetes mellitus (GDM), such evidence remains rare. Additionally, the effects of PM2.5 on glycemic control in GDM patients are poorly known. In this study, we conducted a prospective birth cohort study in China, and aimed to investigate the association between maternal exposure to PM2.5 and the risk of GDM, identify the susceptible exposure window, and quantify the exposure-response relationships between PM2.5 and fasting glucose in GDM patients. A spatiotemporal land-use-regression model was used to estimate individual weekly PM2.5 exposure during pregnancy. A distributed lag nonlinear model incorporated with a Cox proportional hazard model was used to estimate the association between maternal exposure to PM2.5 and the risk of GDM. Among the 4174 pregnant women in our study, 1018 (24.4%) were diagnosed with GDM. Each 10 μg m−3 increment in PM2.5 exposures during the 24th gestational week was significantly associated with a higher risk of GDM [hazard ratio (HR) = 1.03, 95% CI (confidence interval): 1.01, 1.06]. Compared to the lowest quartile (Q1) of PM2.5 exposure, participants with the highest quartile (Q4) during the 21st–24th gestational weeks had a higher risk of GDM, and the strongest association was observed in the 22nd gestational week (HR = 1.15, 95%Cl: 1.02, 1.28). The mean PM2.5 exposures during the 21st–24th weeks were positively associated with fasting plasma glucose in pregnant women with GDM. Each 10 μg m−3 increase in the mean PM2.5 exposure was associated with a 0.07 mmol l−1 (95% CI: 0.04, 0.11 mmol l−1) increase in the fasting glucose level. Our findings suggest that maternal exposure to higher PM2.5 during pregnancy may increase the risk of GDM, and result in poor glycemic control among pregnant women with GDM. The 21st–24th gestational week period might be the (most)? susceptible exposure window of PM2.5.

Details

Title
The association between maternal exposure to fine particulate matter (PM2.5) and gestational diabetes mellitus (GDM): a prospective birth cohort study in China
Author
Chen, Guimin 1 ; Sun, Xiaoli 2 ; Wang, Jiaqi 3 ; Moran, Dong 1 ; Ye, Yufeng 4 ; Liu, Xin 3 ; Sun, Jiufeng 3 ; Xiao, Jianpeng 3 ; He, Guanhao 3 ; Hu, Jianxiong 3 ; Guo, Lingchuan 3 ; Li, Xing 3 ; Zuhua Rong 3 ; Zeng, Weilin 3 ; Zhou, He 3 ; Chen, Dengzhou 3 ; Li, Jiali 3 ; Ma, Wenjun 1 ; Bartashevskyy, Maksym 5 ; Wen, Xiaozhong 5 ; Liu, Tao 6   VIAFID ORCID Logo 

1  School of Public Health, Southern Medical University, Guangzhou 510515, People’s Republic of China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, People’s Republic of China 
2  Gynecology Department, Guangdong Women and Children Hospital, Guangzhou 511442, People’s Republic of China 
3  Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, People’s Republic of China 
4  Guangzhou Panyu Central Hospital, Guangzhou 511400, People’s Republic of China 
5  Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, United States of America 
6  School of Public Health, Southern Medical University, Guangzhou 510515, People’s Republic of China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, People’s Republic of China; School of Medicine, Jinan University, Guangzhou 510632, People’s Republic of China 
Publication year
2021
Publication date
May 2021
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1088/1748-9326/abe4f8
ProQuest document ID
2515170638
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.