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Climate change and ocular health

Temperature-pollution synergies amplify uveitis burden

Dados Bibliográficos

ID22085533
AutoresYue Tan (0000-0002-5198-9547, Chinese Academy of Medical Sciences & Peking Union Medical College), Yue Yin (0009-0002-5364-7089, Chinese Academy of Medical Sciences & Peking Union Medical College), Boya Lei (0000-0003-3086-8663, Chinese Academy of Medical Sciences & Peking Union Medical College), Min Zhou (0000-0001-5509-6845, Chinese Academy of Medical Sciences & Peking Union Medical College), Zhouyi Gu (0009-0002-1205-9504, The University of Sydney), Zhengyue Gu, Jingjing You (The University of Sydney), Tong Lin (0009-0000-6110-1794, Chinese Academy of Medical Sciences & Peking Union Medical College, autor correspondente), Lan Gong (0000-0002-3422-0752, Chinese Academy of Medical Sciences & Peking Union Medical College, autor correspondente)
Ano2025
Volume13
Páginas1650255-1650255
Data de publicação2025-07-25
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1650255
PMID40786163
OpenAlexW4412926532
IdiomaEN
Referências citadas38

Background Uveitis, an inflammatory eye disease, exhibits seasonal patterns, which suggest environmental influences. This study examines the link between average temperature and uveitis outpatient visits, considering air pollution’s modifying effects. Methods We analyzed uveitis outpatient data ( n = 8,090) from a major hospital in Shanghai between 2017 and 2023, along with meteorological and air pollutant data. A distributed lag non-linear model (DLNM) was used to assess the associations between temperature and outpatient visits, adjusting for humidity, pollutants, and temporal factors. Results A non-linear relationship exists between temperature and uveitis visits. Lower temperatures increased visits, with peak relative risk at −4°C lagged by 1 day (RR = 1.351, 95%CI: 1.069–1.706). Significant associations were found at lags 0–1 and 12–14, with the highest risk at lag 14 (−4°C, RR = 1.257, 95%CI: 1.113–1.420). Stratified analyses showed stronger associations in males and individuals under 60 years. High humidity and elevated PM 2.5 levels strengthened the cold temperature association, while extremely high temperatures (33–34°C) increased visits under low humidity (RR = 2.625, 95%CI: 1.034–6.668 at 34°C). Conclusion Temperature extremes are linked to increased uveitis outpatient visits in Shanghai, particularly with cold temperatures in high-humidity and high-PM 2.5 environments, and hot temperatures under low humidity

Air pollutants · Air pollution · Air temperature · Apparent temperature · Confidence interval · Distributed lag · Environmental health · Geography · Humidity · Lag · Meteorology · Outpatient clinic · Outpatient visits · Relative humidity · Relative risk · Uveitis · Chemistry · Demography · Entomological Studies and Ecology · Environmental Science · Medicine · Ocular Diseases and Behçet’s Syndrome · Retinal and Optic Conditions · Internal Medicine · Ophthalmology

  • PM 2.5 in China

    Open Access•David Y H Pui, Sheng-Chieh Chen et al.•Particuology•2014

  • Distributed lag non‐linear models

    Open Access•Antonio Gasparrini, Ben Armstrong et al.•Statistics in Medicine•2010

  • Effect of ambient temperature and other environmental factors on stroke emergency department visits in Beijing

    Open Access•Jinhua Zhao, Yongming Zhang et al.•Frontiers in Public Health•2022

  • Nonlinear effects of humidex on risk of outpatient visit for allergic conjunctivitis among children and adolescents in Shanghai, China

    Open Access•Han Zhao, Yun Yang et al.•Journal of Global Health•2023

  • Can China’s Carbon Emissions Trading System Achieve the Synergistic Effect of Carbon Reduction and Pollution Control

    Open Access•Li Chen, Di Wang et al.•International Journal of…•2022

  • Association between uveitis onset and economic development in mainland China

    Open Access•Handan Tan, Xiaojie Feng et al.•BMC Public Health•2023

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