百分位
置信区间
相对风险
泊松回归
医学
人口学
独生子女
可归因风险
人口
随机效应模型
产科
怀孕
统计
内科学
荟萃分析
数学
环境卫生
生物
社会学
遗传学
作者
Shuhei Terada,Hisaaki Nishimura,Naoyuki Miyasaka,Takeo Fujiwara
标识
DOI:10.1111/1471-0528.17720
摘要
Abstract Objective To investigate the association between ambient temperature and preterm birth (PTB) and to estimate the population attributable fraction (PAF) of PTBs due to low and high temperatures. Design Time‐stratified case‐crossover design. Setting Japan (46 prefectures, excluding Okinawa), 2011–2020. Sample 214 050 PTBs registered in the Japan Perinatal Registry Network database among 1 908 168 singleton live births. Methods A quasi‐Poisson regression model with a distributed lag nonlinear model was employed to assess the associations between daily mean temperature and PTBs for a lag of 0–27 days in each prefecture. A random effects meta‐analysis was conducted by combining effect estimates from the 46 prefectures to estimate pooled relative risks (RRs). The PAFs of the PTBs due to below or above the mean of the 46 median temperatures (16.0°C) were calculated. Main outcome measures Preterm singleton live births. Results The association between daily mean temperature and PTB risk exhibited a U‐shaped curve. The adjusted RRs were 1.15 (95% confidence interval [CI] 1.05–1.25) at the mean of the 1st percentiles (0.8°C) and 1.08 (95% CI 1.00–1.17) at the mean of the 99th percentiles (30.2°C) of 46 prefectures, with 16.0°C as the reference temperature. Approximately 2.3% (95% CI 0.6–4.0) of PTBs were attributable to low temperatures. Conclusions Both low and possibly high temperatures were associated with an increased risk of PTBs. These findings may help to inform preventive measures for pregnant women.
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