Environmental exposure to outdoor artificial light at night during pregnancy and fetal size: A prospective cohort study

怀孕 医学 百分位 胎龄 优势比 产科 人体测量学 出生体重 胎儿 逻辑回归 前瞻性队列研究 巨大儿 混淆 队列研究 队列 妊娠期 妊娠期糖尿病 内科学 生物 统计 遗传学 数学
作者
Lei Zhang,Wanjun Yin,Wenjie Yu,Peng Wang,Haixia Wang,Xiu-Jun Zhang,Peng Zhu
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:883: 163521-163521 被引量:12
标识
DOI:10.1016/j.scitotenv.2023.163521
摘要

Previous studies suggested outdoor artificial light at night (ALAN) exposure may contribute to children and adult obesity, but less is known about the associations of outdoor ALAN exposure during pregnancy with fetal size.From 2015 to 2021, 6210 mother-child pairs were included. Average outdoor ALAN levels during pregnancy were measured using satellite imaging data. Fetal biparietal diameter, head circumference, abdominal circumference (AC), and femur length were measured before delivery with ultrasonography. We also collected anthropometric birth outcomes, including birth length, birth weight, macrosomia, low birth weight, small for gestational age, and large for gestational age at delivery. Multivariable linear regression models and binary logistic regression models were used to examine the potential associations of outdoor ALAN with fetal size adjusting for a broad set of potential confounds.An IQR (14.87 nW/cm2/sr) increase in outdoor ALAN during pregnancy was associated with 1.30 (β = 1.30, 95 % CI: 0.31,2.29) higher AC percentiles and 13 % (OR = 1.13, 95 % CI: 1.00,1.27) higher odds of macrosomia after adjusting confounders. In sex stratification analysis, an IQR (14.87 nW/cm2/sr) increase in outdoor ALAN during pregnancy was associated with 1.65 (β = 1.65, 95 % CI: 0.24,3.06) higher fetal AC percentiles and 27 % (OR = 1.27, 95 % CI: 1.06,1.53) higher odds of macrosomia in females.Our findings suggest that higher outdoor ALAN exposure during pregnancy is associated with larger fetal AC and a higher risk of macrosomia, particularly in the female fetus. Future studies are needed to verify these preliminary findings and identify potential mechanisms for the association.
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