空气污染和夜间人造光对糖尿病风险的协同作用：一项前瞻性队列研究

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution Pub Date : 2025-05-16 DOI:10.1016/j.envpol.2025.126472

Desong Wen, Fei Lin, Chaowei Zhang, Ziyu Ge, Xiaohang Li, Zhenzhou Liu, Hanqing Zhao, Weimin Wang, Zhigang Chen, Guoan Zhao

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引用次数: 0

摘要

先前的研究表明，空气污染物、夜间室外人造光（ALAN）暴露与糖尿病风险之间存在关联，但它们之间的相互作用仍未得到充分证实。基于两个大型中国队列（CHARLS和CFPS）的数据，28,903名参与者随访3年（2013-2018），我们采用Cox比例风险回归模型评估污染物和室外ALAN与糖尿病发病风险的关联及其相互作用，并进行分层分析。结果显示，PM1和PM2.5浓度与糖尿病风险之间存在显著的线性关系。PM1和PM2.5每增加10 μg/m3，风险比分别为1.065 （95% CI: 1.061 ~ 1.069）和1.036 （95% CI: 1.034 ~ 1.038）。其他污染物（SO2、NO2和CO）和室外ALAN暴露与糖尿病风险呈非线性相关，室外ALAN暴露的每个标准差增加与风险比为1.004 （95% CI: 1.001-1.007）。此外，PM1、PM2.5、PM10和SO2与室外ALAN共暴露表现出显著的加性效应。分层分析显示，年龄≥65岁和未婚人群患糖尿病的风险明显较高。区域差异表明，北方居民对污染物的敏感性更高，而南方居民对室外ALAN暴露的敏感性更高。本研究首次揭示了环境污染物与室外ALAN暴露对糖尿病风险的显著协同效应，突出了环境和光污染在糖尿病防治中的重要性，为未来政策制定提供理论依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Synergistic effects of air pollution and artificial light at night on diabetes risk: A prospective cohort study

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Synergistic effects of air pollution and artificial light at night on diabetes risk: A prospective cohort study

Previous studies have indicated associations between air pollutants, outdoor artificial light at night (ALAN) exposure, and diabetes risk, but their interactive effects remain insufficiently validated. Based on data from two large Chinese cohorts (CHARLS and CFPS) with 28,903 participants followed for 3 years (2013-2018), we employed Cox proportional hazards regression models to evaluate the associations of pollutants and outdoor ALAN with diabetes incidence risk and their interactions, along with stratified analyses. Results demonstrated significant linear relationships between PM₁ and PM_2.5 concentrations and diabetes risk. Each 10 μg/m³ increase in PM₁ and PM_2.5 was associated with hazard ratios (HRs) of 1.065 (95% CI: 1.061-1.069) and 1.036 (95% CI: 1.034-1.038), respectively. Other pollutants (SO₂, NO₂, and CO) and outdoor ALAN exposure showed non-linear associations with diabetes risk, with each standard deviation increase in outdoor ALAN exposure associated with an HR of 1.004 (95% CI: 1.001-1.007). Furthermore, co-exposure to PM₁, PM_2.5, PM₁₀, and SO₂ with outdoor ALAN demonstrated significant additive effects. Stratified analyses revealed significantly higher diabetes risks among individuals aged ≥65 years and unmarried populations. Regional differences showed higher pollutant susceptibility among northern residents, while southern residents demonstrated greater sensitivity to outdoor ALAN exposure. This study revealed for the first time significant synergistic effects between environmental pollutants and outdoor ALAN exposure on diabetes risk, highlighting the importance of environmental and light pollution in diabetes prevention and control, and providing theoretical basis for future policy development.

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来源期刊

Environmental Pollution 环境科学-环境科学

CiteScore

16.00

自引率

6.70%

发文量

2082

审稿时长

2.9 months

期刊介绍： Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.