Trajectories of Outdoor Light at Night, Small for Gestational Age, and Effect Modification by Socio-Economic Status: A Population-Based Retrospective Cohort Study.

IF 11.3 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Manman Chen,Yadan Liu,Yuanyuan Li,Qu Lu,Anying Bai,Fangyi Ruan,Yu Jiang,Xiaotian Li,Qiongjie Zhou
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Abstract

Outdoor artificial light at night (ALAN) is a widespread environmental pollution associated with the urbanization worldwide. Whether its trajectories as well as temporal patterns increase the risk of small for gestational age (SGA) remains underexplored. Based on a national population-based retrospective cohort study including 572,989 women of reproductive age (21-49 years) across 220 counties in China and satellite ALAN data, this study aimed to explore the association between the trajectories of ALAN and SGA and the effect modification by socio-economic status (SES). Group-based trajectory models according to the lowest Bayesian information criterion were used to characterize the trajectories of ALAN. Logistic regression models were used to estimate the risk ratios (RRs) of SGA associated with different trajectories of outdoor ALAN, as well as the effect modification by age, education, occupation, and region. We identified three latent classes, including low- [n = 304,577, 53.2%], moderate- [208,290, 36.4%], and high- [60,122, 10.5%] curve groups. Compared to the low-curve group, the high-curve group exhibited the highest risk of SGA (RR = 3.16, 95% CI: 2.76-3.63), followed by the moderate-curve group (RR = 1.25, 95% CI: 1.12-1.40) (P for difference <0.001). Similar associations were observed across all SES subgroups. These findings suggest that higher trajectories of outdoor ALAN exposure are associated with increased risks of SGA across populations with different SES levels.
夜间户外光的轨迹、胎龄小和社会经济地位的影响:一项基于人群的回顾性队列研究。
室外夜间人造光是伴随城市化进程而来的一种普遍的环境污染。其轨迹以及时间模式是否会增加小胎龄(SGA)的风险仍未得到充分研究。本研究基于中国220个县572,989名育龄妇女(21-49岁)的全国人群回顾性队列研究和卫星ALAN数据,旨在探讨ALAN和SGA轨迹与社会经济地位(SES)影响的关系。采用基于最低贝叶斯信息准则的群体轨迹模型对ALAN的轨迹进行表征。采用Logistic回归模型估计室外ALAN不同轨迹与SGA的风险比,以及年龄、教育程度、职业和地区对SGA影响的修正。我们确定了三个潜在类别,包括低曲线组[n = 304,577, 53.2%]、中曲线组[208,290,36.4%]和高曲线组[60,122,10.5%]。与低曲线组相比,高曲线组发生SGA的风险最高(RR = 3.16, 95% CI: 2.76 ~ 3.63),其次是中等曲线组(RR = 1.25, 95% CI: 1.12 ~ 1.40) (P <0.001)。在所有SES亚组中观察到类似的关联。这些发现表明,在不同社会经济地位的人群中,较高的户外ALAN暴露轨迹与SGA风险增加有关。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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