{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yang X"],"funding":["NIEHS NIH HHS"],"pagination":["113858"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9190215"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["238"],"pubmed_abstract":["<h4>Background</h4>A growing body of evidence has confirmed the association between fine particulate matter (PM<sub>2.5</sub>) and ocular diseases, but little is known on the effect of long-term PM<sub>2.5</sub> 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<sub>2.5</sub> concentrations which were assigned to each participant according to geocoded home addresses. Logistic regression model was performed to investigate associations of long-term PM<sub>2.5</sub> exposure with glaucoma and its subtypes.<h4>Results</h4>Estimated PM<sub>2.5</sub> concentrations ranged f"],"journal":["International journal of hygiene and environmental health"],"pubmed_title":["The association between long-term exposure to ambient fine particulate matter and glaucoma: A nation-wide epidemiological study among Chinese adults."],"pmcid":["PMC9190215"],"funding_grant_id":["R01 ES032140"],"pubmed_authors":["Huang J","Shan A","Yan X","Yang X","Gu D","Liu Y","Yang Z","Liang F","Tang N","Yao B","Chen X","Chen S","Yan H","Liu F","Bo S"],"additional_accession":[]},"is_claimable":false,"name":"The association between long-term exposure to ambient fine particulate matter and glaucoma: A nation-wide epidemiological study among Chinese adults.","description":"<h4>Background</h4>A growing body of evidence has confirmed the association between fine particulate matter (PM<sub>2.5</sub>) and ocular diseases, but little is known on the effect of long-term PM<sub>2.5</sub> 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<sub>2.5</sub> concentrations which were assigned to each participant according to geocoded home addresses. Logistic regression model was performed to investigate associations of long-term PM<sub>2.5</sub> exposure with glaucoma and its subtypes.<h4>Results</h4>Estimated PM<sub>2.5</sub> concentrations ranged f","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Sep","modification":"2025-04-18T20:59:46.156Z","creation":"2025-04-07T08:58:56.205Z"},"accession":"S-EPMC9190215","cross_references":{"pubmed":["34634756"],"doi":["10.1016/j.ijheh.2021.113858"]}}