Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States; Department of Epidemiology and Center for Environmental Health and Technology, Brown University School of Public Health, Providence, RI, United States.
Department of Epidemiology and Center for Environmental Health and Technology, Brown University School of Public Health, Providence, RI, United States; School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Environ Int. 2020 Jul;140:105825. doi: 10.1016/j.envint.2020.105825. Epub 2020 May 30.
The public health impacts of tropical cyclones (TCs) are expected to increase due to the continued growth of coastal populations and the increasing severity of these events. However, the impact of TCs on pregnant women, a vulnerable population, remains largely unknown. We aimed to estimate the association between prenatal exposure to TCs and risk of preterm birth in the eastern United States (US) and to assess whether the association varies by individual- and area-level characteristics.
We included data on 19,529,748 spontaneous singleton births from 1989 to 2002 across 378 US counties. In each county, we classified days as exposed to a TC when TC-associated peak sustained winds at the county's population-weighted center were >17.2 m/s (gale-force winds or greater). We defined preterm birth as births delivered prior to 37 completed weeks of gestation. We used distributed lag log-linear mixed-effects models to estimate the relative risk (RR) and absolute risk difference (ARD) for TC exposure by comparing preterm births occurring in TC-periods (from 2 days before to 30 days after the TC's closest approach to the county's population center) to matched non-TC periods. We conducted secondary analyses using other wind thresholds (12 m/s and 22 m/s) and other exposure metrics: county distance to storm track (30 km, 60 km, and 100 km) and cumulative rainfall within the county (75 mm, 100 mm, and 125 mm).
During the study period, there were 1,981,797 (10.1%) preterm births and 58 TCs that affected at least one US county on which we had birth data. The risk of preterm birth was positively associated with TC exposure defined as peak sustained wind speed >17.2 m/s (gale-force winds or greater) [RR: 1.01 (95% CI: 0.99, 1.03); ARD: 9 (95% CI: -7, 25) per 10,000 pregnancies], distance to storm track <60 km [RR: 1.02 (95% CI: 1.01, 1.04); ARD: 23 (95% CI: 9, 38) per 10,000 pregnancies], and cumulative rainfall >100 mm [RR: 1.04 (95% CI: 1.02, 1.06); ARD: 36 (95% CI: 16, 56) per 10,000 pregnancies]. Results were comparable when considering other wind, distance, or rain thresholds. The association was more pronounced among early preterm births and mothers living in more socially vulnerable counties but did not vary across strata of other hypothesized risk factors.
Maternal exposure to TC was associated with a higher risk of preterm birth. Our findings provide initial evidence that severe storms may trigger preterm birth.
由于沿海地区人口持续增长以及这些事件的严重程度不断增加,预计热带气旋(TC)对公共卫生的影响将会增加。然而,TC 对孕妇这一弱势群体的影响在很大程度上仍未可知。我们旨在估计在美国东部(美国)产前暴露于 TC 与早产风险之间的关联,并评估这种关联是否因个体和地区特征而有所不同。
我们纳入了 19529748 例 1989 年至 2002 年期间美国 378 个县的自发性单胎分娩数据。在每个县,当县人口加权中心的与 TC 相关的峰值持续风速>17.2m/s(大风或更强)时,我们将这些天归类为暴露于 TC 中。我们将早产定义为分娩前在 37 周完成妊娠之前。我们使用分布式滞后对数线性混合效应模型,通过比较 TC 期间(从 TC 最接近县人口中心前 2 天到 30 天后)发生的早产与匹配的非 TC 期间,来估计 TC 暴露的相对风险(RR)和绝对风险差异(ARD)。我们使用其他风速阈值(12m/s 和 22m/s)和其他暴露指标(县到风暴轨迹的距离(30km、60km 和 100km)和县内累计降雨量(75mm、100mm 和 125mm)进行了二次分析。
在研究期间,有 1981797 例(10.1%)早产和 58 次 TC 影响了我们有分娩数据的至少一个美国县。早产风险与 TC 暴露呈正相关,定义为峰值持续风速>17.2m/s(大风或更强)[RR:1.01(95%CI:0.99,1.03);ARD:9(95%CI:-7,25)/每 10000 例妊娠]、距离风暴轨迹<60km[RR:1.02(95%CI:1.01,1.04);ARD:23(95%CI:9,38)/每 10000 例妊娠]和累计降雨量>100mm[RR:1.04(95%CI:1.02,1.06);ARD:36(95%CI:16,56)/每 10000 例妊娠]。当考虑其他风速、距离或降雨阈值时,结果是可比的。这种关联在早期早产和生活在社会脆弱县的母亲中更为明显,但在其他假设风险因素的分层中没有差异。
母体暴露于 TC 与早产风险增加相关。我们的研究结果提供了初步证据,表明强风暴可能会引发早产。