International journal of hygiene and environmental health · 2021
The association between long-term exposure to ambient fine particulate matter and glaucoma: A nation-wide epidemiological study among Chinese adults.
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Yang Xueli, Yang Ze, Liu Yuanyuan, Chen Xi, Yao Baoqun, Liang Fengchao, Shan Anqi, Liu Fangchao, Chen Song, Yan Xiaochang, Huang Jianfeng, Bo Shaoye, Liu Yang, Tang Naijun, Gu Dongfeng, Yan Hua
Аннотация
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.
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.