Nargund Reshma, Marchesoni Joddy, Bareja Akshay, Sosnowski David W, Peng Gang, Hoyo Cathrine, Pan William, Murphy Susan K
Nicholas School of the Environment, Duke University, Durham, NC, 27708, United States.
North Carolina State University, Raleigh, NC, 27695, United States.
bioRxiv. 2025 Jun 15:2025.06.10.658978. doi: 10.1101/2025.06.10.658978.
This study evaluates the association between ambient temperature exposure during pregnancy and newborn birthweight, using a penalized generalized additive model (GAM) framework with distributed lag non-linear models (DLNM) to identify sensitive windows of exposure. The analysis includes 238 participants from the SHIP study with complete temperature exposure and birthweight data. Weekly maximum temperatures during pregnancy were estimated using Daymet data, and the impact of temperature on birthweight was assessed, adjusting for maternal age, pre-pregnancy BMI, gestational age, race, smoking, diabetes status, and infant biological sex. The model incorporated a crossbasis function for temperature exposure across 42 gestational weeks and allowed penalization for smoother, data-driven lag estimation. Results from the combined-sex model indicated that higher ambient temperatures during the third trimester, particularly in the final weeks of pregnancy, were associated with increased birthweight. Stratified analyses suggested that this association was more pronounced in male infants. These findings highlight the importance of considering prenatal temperature exposures and timing when evaluating determinants of newborn health.
本研究采用带分布滞后非线性模型(DLNM)的惩罚广义相加模型(GAM)框架,评估孕期环境温度暴露与新生儿出生体重之间的关联,以确定暴露的敏感窗口。分析纳入了SHIP研究中的238名参与者,他们有完整的温度暴露和出生体重数据。利用Daymet数据估算孕期每周的最高温度,并评估温度对出生体重的影响,同时对产妇年龄、孕前体重指数、孕周、种族、吸烟情况、糖尿病状态和婴儿生物学性别进行了调整。该模型纳入了一个跨42孕周的温度暴露交叉基函数,并允许对更平滑的数据驱动滞后估计进行惩罚。合并性别模型的结果表明,孕晚期,尤其是妊娠最后几周的较高环境温度与出生体重增加有关。分层分析表明,这种关联在男婴中更为明显。这些发现凸显了在评估新生儿健康决定因素时考虑产前温度暴露及其时间的重要性。