Association of ambient fine particulate matter exposure with gestational diabetes mellitus and blood glucose levels during pregnancy

被引:9
|
作者
Liu, Rujie [1 ]
Zhang, Jun [2 ]
Chu, Li [3 ]
Guo, Yanjun [4 ]
Qiao, Lihua [2 ]
Niu, Zhongzheng [5 ]
Wang, Meng [5 ]
Farhat, Zeinab [5 ]
Grippo, Alexandra [5 ]
Zhang, Yifan [1 ]
Ma, Changxing [6 ]
Zhang, Yingying [1 ]
Zhu, Kexin [5 ]
Mu, Lina [5 ,8 ]
Lei, Lijian [1 ,7 ]
机构
[1] Shanxi Med Univ, Sch Publ Hlth, Dept Epidemiol, Taiyuan, Shanxi, Peoples R China
[2] Tsinghua Univ, Res Ctr Publ Hlth, Beijing, Peoples R China
[3] Capital Med Univ, Beijing Anzhen Hosp, Dept Obstet & Gynecol, Beijing, Peoples R China
[4] Aerosp Ctr Hosp, Dept Obstet & Gynecol, Beijing, Peoples R China
[5] SUNY Buffalo, Sch Publ Hlth & Hlth Profess, Dept Epidemiol & Environm Hlth, Buffalo, NY USA
[6] SUNY Buffalo, Sch Publ Hlth & Hlth Profess, Dept Biostat, Buffalo, NY USA
[7] Shanxi Med Univ, Taiyuan 030001, Shanxi, Peoples R China
[8] 3435 Main St,273A Farber Hall, Buffalo, NY 14214 USA
关键词
Ambient PM 2; 5; exposure; GDM; Blood glucose levels; DLNM; AIR-POLLUTION EXPOSURE; INSULIN-RESISTANCE; TOLERANCE; GLYCEMIA; WOMEN; INFLAMMATION; HOMEOSTASIS; INTOLERANCE; PREVALENCE; MODEL;
D O I
10.1016/j.envres.2022.114008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Previous studies have examined the associations between ambient fine particulate matter (PM2.5) exposure and gestational diabetes mellitus (GDM). However, limited studies explored the relationships between PM2.5 exposure and blood glucose levels during pregnancy, especially in highly polluted areas. Objectives: To examine the associations of prenatal ambient PM2.5 exposure with GDM and blood glucose levels, and to identify the sensitive exposure windows in a highly air-polluted area.Methods: From July 2016 to October 2017, a birth cohort study was conducted in Beijing, China. Participants were interviewed in each trimester regarding demographics, lifestyle, living and working environment, and medical conditions. Participant's daily ambient PM2.5 levels from 3 m before last menstrual period (LMP) to the third trimester was estimated by a hybrid spatiotemporal model. Indoor air quality index was calculated based on environmental tobacco smoke, ventilation, cooking, painting, pesticide, and herbicide use. Distributed lag nonlinear model was applied to explore the sensitive weeks of PM2.5 exposure.Results: Of 165 pregnant women, 23 (13.94%) developed GDM. After adjusting for potential confounders, PM2.5 exposure during the 1st trimester was associated with higher odds of GDM (10 mu g/m3 increase: OR = 1.89, 95% CI: 1.04-3.49). Each 10 mu g/m3 increase in PM2.5 during the 2nd trimester was associated with 17.70% (2.21-33.20), 15.99% (2.96-29.01), 18.82% (4.11-33.52), and 17.10% (3.28-30.92) increase in 1-h, 2-h, Delta 1hfasting (1-h minus fasting), and Delta 2h-fasting (2-h minus fasting) blood glucose levels, respectively. PM2.5 exposure at 24th-27th weeks after LMP was associated with increased GDM risk. We identified sensitive exposure windows of 21st-24th weeks for higher 1-h and 2-h blood glucose levels and of 20th-22nd weeks for increased Delta 1hfasting and Delta 2h-fasting. Conclusions: Ambient PM2.5 exposure during the second trimester was associated with higher odds of GDM and higher blood glucose levels. Avoiding exposure to high air pollution levels during the sensitive windows might prevent women from developing GDM.
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页数:9
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