Xueli Yang1, Ze Yang1, Yuanyuan Liu2, Xi Chen1, Baoqun Yao2, Fengchao Liang3, Anqi Shan1, Fangchao Liu4, Song Chen5, Xiaochang Yan6, Jianfeng Huang4, Shaoye Bo7, Yang Liu8, Naijun Tang1, Dongfeng Gu9, Hua Yan10. 1. Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China. 2. Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, China; Tianjin Medical University, Tianjin, 300070, China. 3. School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China. 4. Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China. 5. Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, China. 6. National School of Development, Peking University, Beijing, 100871, China. 7. China Foundation for Disabled Persons, Dongcheng District, Beijing, 100006, China. 8. Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA. 9. School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China. 10. Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, China; Tianjin Medical University, Tianjin, 300070, China. Electronic address: zyyyanhua@tmu.edu.cn.
Abstract
BACKGROUND: A growing body of evidence has confirmed the association between fine particulate matter (PM2.5) and ocular diseases, but little is known on the effect of long-term PM2.5 exposure on glaucoma. METHODS: A national cross-sectional study of the Rural Epidemiology for Glaucoma was conducted in 10 provinces of China, and 33,701 adults aged 40 years or more were included. A satellite-based model at 1-km resolution level was used to estimate PM2.5 concentrations which were assigned to each participant according to geocoded home addresses. Logistic regression model was performed to investigate associations of long-term PM2.5 exposure with glaucoma and its subtypes. RESULTS: Estimated PM2.5 concentrations ranged from 28.0 to 96.4 μg/m3. For each 10 μg/m3 increment in PM2.5, the adjusted odds ratios (ORs) were 1.07 (95% CI: 1.00-1.15) and 1.14 (95% CI: 1.02-1.26) for glaucoma and primary angle-closure glaucoma (PACG), respectively. A positive but non-significant association (OR = 1.05, 95% CI: 0.92-1.18) was detected between long-term exposure to PM2.5 and odds of primary open-angle glaucoma. The middle aged residents and non-smokers were more sensitive to the adverse effects of PM2.5. CONCLUSIONS: Long-term PM2.5 exposure was associated with glaucoma and PACG in Chinese adults, which provided new insights on adverse ophthalmic effect of PM2.5.
BACKGROUND: A growing body of evidence has confirmed the association between fine particulate matter (PM2.5) and ocular diseases, but little is known on the effect of long-term PM2.5 exposure on glaucoma. METHODS: A national cross-sectional study of the Rural Epidemiology for Glaucoma was conducted in 10 provinces of China, and 33,701 adults aged 40 years or more were included. A satellite-based model at 1-km resolution level was used to estimate PM2.5 concentrations which were assigned to each participant according to geocoded home addresses. Logistic regression model was performed to investigate associations of long-term PM2.5 exposure with glaucoma and its subtypes. RESULTS: Estimated PM2.5 concentrations ranged from 28.0 to 96.4 μg/m3. For each 10 μg/m3 increment in PM2.5, the adjusted odds ratios (ORs) were 1.07 (95% CI: 1.00-1.15) and 1.14 (95% CI: 1.02-1.26) for glaucoma and primary angle-closure glaucoma (PACG), respectively. A positive but non-significant association (OR = 1.05, 95% CI: 0.92-1.18) was detected between long-term exposure to PM2.5 and odds of primary open-angle glaucoma. The middle aged residents and non-smokers were more sensitive to the adverse effects of PM2.5. CONCLUSIONS: Long-term PM2.5 exposure was associated with glaucoma and PACG in Chinese adults, which provided new insights on adverse ophthalmic effect of PM2.5.
Authors: Jocelyn Chua; Maya Vania; Chui Ming Gemmy Cheung; Marcus Ang; Soon Phaik Chee; Henry Yang; Jing Li; Tina T Wong Journal: Mol Vis Date: 2012-02-11 Impact factor: 2.367
Authors: Aaron J Cohen; Michael Brauer; Richard Burnett; H Ross Anderson; Joseph Frostad; Kara Estep; Kalpana Balakrishnan; Bert Brunekreef; Lalit Dandona; Rakhi Dandona; Valery Feigin; Greg Freedman; Bryan Hubbell; Amelia Jobling; Haidong Kan; Luke Knibbs; Yang Liu; Randall Martin; Lidia Morawska; C Arden Pope; Hwashin Shin; Kurt Straif; Gavin Shaddick; Matthew Thomas; Rita van Dingenen; Aaron van Donkelaar; Theo Vos; Christopher J L Murray; Mohammad H Forouzanfar Journal: Lancet Date: 2017-04-10 Impact factor: 79.321