Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Research Center for Public Health, Tsinghua University, Beijing, China.
Environ Res. 2022 Nov;214(Pt 3):114008. doi: 10.1016/j.envres.2022.114008. Epub 2022 Aug 3.
Previous studies have examined the associations between ambient fine particulate matter (PM) exposure and gestational diabetes mellitus (GDM). However, limited studies explored the relationships between PM exposure and blood glucose levels during pregnancy, especially in highly polluted areas.
To examine the associations of prenatal ambient PM exposure with GDM and blood glucose levels, and to identify the sensitive exposure windows in a highly air-polluted area.
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 PM 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 non-linear model was applied to explore the sensitive weeks of PM exposure.
Of 165 pregnant women, 23 (13.94%) developed GDM. After adjusting for potential confounders, PM exposure during the 1 trimester was associated with higher odds of GDM (10 μg/m increase: OR = 1.89, 95% CI: 1.04-3.49). Each 10 μg/m increase in PM during the 2 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, Δ1h-fasting (1-h minus fasting), and Δ2h-fasting (2-h minus fasting) blood glucose levels, respectively. PM exposure at 24-27 weeks after LMP was associated with increased GDM risk. We identified sensitive exposure windows of 21-24 weeks for higher 1-h and 2-h blood glucose levels and of 20-22 weeks for increased Δ1h-fasting and Δ2h-fasting.
Ambient PM 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.
先前的研究已经考察了环境细颗粒物(PM)暴露与妊娠糖尿病(GDM)之间的关联。然而,有限的研究探讨了 PM 暴露与怀孕期间血糖水平之间的关系,特别是在污染严重的地区。
检验产前环境 PM 暴露与 GDM 和血糖水平的关系,并确定高度污染地区的敏感暴露窗口。
本研究于 2016 年 7 月至 2017 年 10 月在中国北京开展了一项出生队列研究。参与者在每个孕早期和孕晚期分别就人口统计学、生活方式、生活和工作环境以及医疗条件进行了访谈。采用混合时空模型估计了参与者从末次月经前 3 个月到孕晚期的每日环境 PM 水平。根据环境烟草烟雾、通风、烹饪、绘画、农药和除草剂的使用情况,计算室内空气质量指数。采用分布式滞后非线性模型探讨 PM 暴露的敏感周。
在 165 名孕妇中,有 23 名(13.94%)患有 GDM。在调整了潜在混杂因素后,第 1 孕期的 PM 暴露与 GDM 的发病风险增加相关(每增加 10μg/m3:OR=1.89,95%CI:1.04-3.49)。第 2 孕期每增加 10μg/m3的 PM 暴露与 1 小时、2 小时、Δ1h-空腹(1 小时减去空腹)和Δ2h-空腹(2 小时减去空腹)的血糖水平分别增加 17.70%(2.21-33.20)、15.99%(2.96-29.01)、18.82%(4.11-33.52)和 17.10%(3.28-30.92)。妊娠后 24-27 周的 PM 暴露与 GDM 发病风险增加相关。我们确定了较高的 1 小时和 2 小时血糖水平的敏感暴露窗口为 21-24 周,以及较高的Δ1h-空腹和Δ2h-空腹的敏感暴露窗口为 20-22 周。
第 2 孕期的环境 PM 暴露与 GDM 发病风险增加和血糖水平升高相关。在敏感窗口避免暴露于高空气污染水平可能有助于预防女性发生 GDM。