Tong Mingkun, Li Pengfei, Wang Meng, Sun Yilun, Han Yiqun, Liu Hengyi, Li Jiajianghui, Li Jiwei, Wu Fei, Guan Tianjia, Xue Tao
Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Advanced Institute of Information Technology, Peking University, Beijing, China.
Int J Epidemiol. 2022 Dec 13;51(6):1984-1999. doi: 10.1093/ije/dyac103.
Gestational exposure to fine particulate matter (PM2.5) has been reported to be associated with an increased risk of fetal death in recent studies, but earlier studies in the past century have usually reported a non-significant association. As such, it remains unknown whether this adverse effect of PM2.5 exposure varies with time.
Nearly 49.2 million eligible birth and fetal death records from 1989 to 2004 were selected from the United States (US) birth and fetal death certificate datasets. For each record, the level of prenatal exposure to PM2.5 was taken as the average concentration in the mother's residential county during the entire gestational period, according to well-established estimates of monthly levels across the contiguous US. We first stratified the dataset by the month of the last menstrual period (LMP) and then independently evaluated the nationwide association between PM2.5 exposure and fetal death within each stratum using five typical logit models: unadjusted, covariate-adjusted, propensity-score, double robust, and diagnostic-score models. Finally, we conducted a meta-analysis to pool estimated LMP-specific associations and explored how the overall association varied by LMP month.
Different models showed temporal heterogeneity in the estimated association between PM2.5 exposure and fetal death. According to the meta-analysis, double robust model estimates were more homogeneous than the rest, and thus the model outcome was recognized as the main result. For each 1-µg/m3 increase in prenatal exposure to PM2.5, the pooled odds ratio (OR) of fetal death was estimated to be 1.08 [95% confidence interval (CI): 1.05, 1.10]. The LMP-specific ORs exhibited a slightly increasing trend and a significant seasonal pattern. Compared with the pooled OR among samples with the LMP in spring, the estimates for summer, fall and winter were higher by 11.1% (95% CI: 6.2%, 16.3%), 27.8% (95% CI: 22.1%, 33.8%) and 28.8% (95% CI: 23.7%, 34.1%), respectively. We also found that temporal patterns in the association between PM2.5 exposure and fetal death could be explained by several population-level indicators or modifiers (i.e. ethnicity, maternal age, gestational weight gain, previous pregnancy of abnormal termination and diabetes).
Prenatal exposure to PM2.5 can increase the risk of fetal death. The effects of PM2.5 exposure may be modified by complex factors, which leads to a time-varying association.
近期研究报道,孕期暴露于细颗粒物(PM2.5)与胎儿死亡风险增加有关,但过去一个世纪的早期研究通常报道两者无显著关联。因此,PM2.5暴露的这种不良影响是否随时间变化仍不清楚。
从美国出生和胎儿死亡证明数据集中选取了1989年至2004年近4920万条符合条件的出生和胎儿死亡记录。对于每条记录,根据美国本土每月PM2.5水平的既定估算值,将孕期PM2.5暴露水平作为母亲居住县整个孕期的平均浓度。我们首先按末次月经日期(LMP)月份对数据集进行分层,然后使用五个典型的逻辑回归模型分别评估各层内PM2.5暴露与胎儿死亡之间的全国性关联:未调整模型、协变量调整模型、倾向得分模型、双重稳健模型和诊断得分模型。最后,我们进行了荟萃分析,汇总LMP特异性关联的估计值,并探讨总体关联如何随LMP月份变化。
不同模型显示,PM2.5暴露与胎儿死亡之间估计关联存在时间异质性。根据荟萃分析,双重稳健模型的估计值比其他模型更具同质性,因此该模型结果被视为主要结果。孕期PM2.5暴露每增加1μg/m3,胎儿死亡的合并比值比(OR)估计为1.08 [95%置信区间(CI):1.05,1.10]。LMP特异性OR呈略微上升趋势且有显著的季节性模式。与LMP在春季的样本中的合并OR相比,夏季、秋季和冬季的估计值分别高出11.1%(95% CI:6.2%,16.3%)、27.8%(95% CI:22.1%,33.8%)和28.8%(95% CI:23.7%,34.1%)。我们还发现,PM2.5暴露与胎儿死亡之间关联的时间模式可由一些人群水平指标或调节因素(即种族、母亲年龄、孕期体重增加、既往异常终止妊娠史和糖尿病)解释。
孕期暴露于PM2.5会增加胎儿死亡风险。PM2.5暴露的影响可能受复杂因素调节,从而导致随时间变化的关联。