Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tongji University School of Medicine, Shanghai, China.
Environ Pollut. 2024 Oct 15;359:124722. doi: 10.1016/j.envpol.2024.124722. Epub 2024 Aug 13.
The relationships between the exposure to ambient air pollutants during gestation and the incidence of hypertensive disorders in pregnancy (HDPs) or preeclampsia are contradictory. This prospective cohort study enrolled the participants between January 2020 and December 2021 from the Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology. The exposure to ambient air pollutants and daily temperatures were obtained from the ChinaHighAirPollutants dataset and the Big Earth Data Platform for Three Poles, respectively. Logistic regression models were used as single- and two-pollutant models. Restricted cubic splines were applied to each ambient air pollutant exposure to further evaluate the exposure-response relationships. Quantile G-computation approaches were employed to evaluate the cumulative impact of mixed ambient air pollutants on the incidence risk HDPs and preeclampsia. Among 19,325 participants (median age: 30.2 years), 1669 (8.64%) were diagnosed with HDPs and 180 (0.94%) with preeclampsia. While mostly null risk estimates were observed, exposure to PM, PM, PM and NO correlated with a decreased incidence risk for HDPs and preeclampsia during most gestational periods. Additionally, our multi-pollutant model presented that an increase by one quartile in the cumulative effect of ambient air pollutants was associated with a significantly decreased incidence risk for HDPs in the trimester before gestation and in the third trimester during gestation, as well as for preeclampsia in the third trimester during gestation. These findings warrant further investigation into the mechanisms underlying these associations.
在妊娠期间接触环境空气污染物与妊娠高血压疾病（HDPs）或子痫前期发生率之间的关系存在争议。这项前瞻性队列研究于 2020 年 1 月至 2021 年 12 月期间从华中科技大学同济医学院附属湖北省妇幼保健院招募了参与者。环境空气污染物和每日温度的暴露数据分别来自中国高空气污染物数据集和三极大数据平台。使用逻辑回归模型作为单污染物和双污染物模型。应用受限立方样条进一步评估每种环境空气污染物暴露的暴露-反应关系。使用分位数 G 计算方法来评估混合环境空气污染物对 HDPs 和子痫前期发生率风险的累积影响。在 19325 名参与者（中位数年龄：30.2 岁）中，1669 名（8.64%）被诊断为 HDPs，180 名（0.94%）被诊断为子痫前期。虽然观察到大多数风险估计值为零，但在大多数妊娠期间，PM2.5、PM10、PM2.5 和 NO 的暴露与 HDPs 和子痫前期的发生率风险降低相关。此外，我们的多污染物模型表明，在妊娠前三个月和妊娠第三个三个月中，环境空气污染物累积效应增加一个四分位距与 HDPs 的发生率风险显著降低相关，在妊娠第三个三个月中与子痫前期的发生率风险显著降低相关。这些发现需要进一步研究这些关联的机制。
