The University of Sydney, Sydney School of Public Health, University Centre for Rural Health, Sydney, NSW, Australia.
The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW, Australia.
Paediatr Perinat Epidemiol. 2022 Jan;36(1):4-12. doi: 10.1111/ppe.12822. Epub 2021 Nov 30.
Exposure to high ambient temperatures has been shown to increase the risk of spontaneous preterm birth. Determining which maternal factors increase or decrease this risk will inform climate adaptation strategies.
This study aims to assess the risk of spontaneous preterm birth associated with exposure to ambient temperature and differences in this relationship between mothers with different health and demographic characteristics.
We used quasi-Poisson distributed lag non-linear models to estimate the effect of high temperature-measured as the 95th percentile of daily minimum, mean and maximum compared with the median-on risk of spontaneous preterm birth (23-36 weeks of gestation) in pregnant women in New South Wales, Australia. We estimated the cumulative lagged effects of daily temperature and analyses on population subgroups to assess increased or decreased vulnerability to this effect.
Pregnant women (n = 916,678) exposed at the 95th percentile of daily mean temperatures (25ºC) had an increased risk of preterm birth (relative risk 1.14, 95% confidence interval 1.07, 1.21) compared with the median daily mean temperature (17℃). Similar effect sizes were seen for the 95th percentile of minimum and maximum daily temperatures compared with the median. This risk was slightly higher among women with diabetes, hypertension, chronic illness and women who smoked during pregnancy.
Higher temperatures increase the risk of preterm birth and women with pre-existing health conditions and who smoke during pregnancy are potentially more vulnerable to these effects.
暴露于高温环境已被证明会增加自发性早产的风险。确定哪些产妇因素会增加或降低这种风险,将为气候适应策略提供信息。
本研究旨在评估暴露于环境温度与自发性早产风险之间的关系,并评估不同健康和人口统计学特征的产妇之间这种关系的差异。
我们使用拟泊松分布滞后非线性模型来估计高温(定义为每日最小、平均和最大温度的第 95 百分位数)与中位数相比对澳大利亚新南威尔士州孕妇自发性早产(23-36 周妊娠)风险的影响。我们估计了每日温度的累积滞后效应,并对人群亚组进行了分析,以评估对这种效应的易感性增加或降低。
暴露于每日平均温度第 95 百分位数(25°C)的孕妇(n=916678)与中位数相比,早产风险增加(相对风险 1.14,95%置信区间 1.07,1.21)。与中位数相比,最低和最高日温度的第 95 百分位数也出现了类似的效应大小。在患有糖尿病、高血压、慢性疾病和怀孕期间吸烟的女性中,这种风险略高。
较高的温度会增加早产的风险,而患有预先存在的健康状况和怀孕期间吸烟的女性可能更容易受到这些影响。