biostudies-literatureYang XNIEHS NIH HHS113858https://www.ebi.ac.uk/biostudies/studies/S-EPMC9190215biostudies-literatureUnknown238<h4>Background</h4>A growing body of evidence has confirmed the association between fine particulate matter (PM_2.5) and ocular diseases, but little is known on the effect of long-term PM_2.5 exposure on glaucoma.<h4>Methods</h4>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 PM_2.5 concentrations which were assigned to each participant according to geocoded home addresses. Logistic regression model was performed to investigate associations of long-term PM_2.5 exposure with glaucoma and its subtypes.<h4>Results</h4>Estimated PM_2.5 concentrations ranged fInternational journal of hygiene and environmental healthThe association between long-term exposure to ambient fine particulate matter and glaucoma: A nation-wide epidemiological study among Chinese adults.PMC9190215R01 ES032140Huang JShan AYan XYang XGu DLiu YYang ZLiang FTang NYao BChen XChen SYan HLiu FBo SfalseThe association between long-term exposure to ambient fine particulate matter and glaucoma: A nation-wide epidemiological study among Chinese adults.<h4>Background</h4>A growing body of evidence has confirmed the association between fine particulate matter (PM_2.5) and ocular diseases, but little is known on the effect of long-term PM_2.5 exposure on glaucoma.<h4>Methods</h4>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 PM_2.5 concentrations which were assigned to each participant according to geocoded home addresses. Logistic regression model was performed to investigate associations of long-term PM_2.5 exposure with glaucoma and its subtypes.<h4>Results</h4>Estimated PM_2.5 concentrations ranged f2021-01-01T00:00:00Z2021 Sep2025-04-18T20:59:46.156Z2025-04-07T08:58:56.205ZS-EPMC91902153463475610.1016/j.ijheh.2021.113858