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ORIGINAL RESEARCH article
Front. Public Health
Sec. Environmental Health and Exposome
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1515597
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Artificial light at night (LAN) is linked to metabolic diseases, but its precise relationship remains underexplored. This study investigates the association between LAN and metabolic diseases.A cross-sectional study of 11,729 participants in 2015 was selected from China Health and Retirement Longitudinal Study. Diabetes, metabolic syndrome (MetS), overweight, obesity, dyslipidemia, and hyperuricaemia (HUA) were defined according to guideline criteria. Using satellite data, we estimated LAN exposure for 2015 and matched each participant's address to the corresponding annual mean LAN value. Multivariate logistic regression models were used to assess the relationship between LAN and metabolic diseases. To explore potential non-linear associations and visualize the dose-response relationship between LAN and metabolic diseases, we applied the restricted cubic splines (RCS).Nighttime Light and Metabolic DiseaseWe found that higher levels of LAN significantly correlate with metabolic diseases. In the final adjusted model, participants in the highest LAN quartile group (Q4) exhibited the greatest risk for
Keywords: China Health and Retirement Longitudinal Study, Metabolic Diseases, Artificial light at night, environmental factors, circadian rhythms
Received: 23 Oct 2024; Accepted: 17 Feb 2025.
Copyright: © 2025 Fan, Yuan, Zhang, Fu, Lu, Wang, Xie and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hong Gao, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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