{"doi":"10.1038/s41433-024-03470-x","title":"Socioeconomic and environmental factors associated with glaucoma in an African Ancestry Population: findings from the Primary Open-Angle African American Glaucoma Genetics (POAAGG) study","abstract":"BACKGROUND/OBJECTIVES: Glaucoma is the leading cause of irreversible blindness, disproportionately affecting individuals of African ancestry. Limited research has examined the impact of neighbourhood quality and socioeconomic factors on primary open-angle glaucoma (POAG) risk in this population. This study aims to address these gaps by evaluating associations between ocular health and neighbourhood characteristics using geospatial data. SUBJECTS/METHODS: We conducted a case-control study with 5192 African ancestry individuals from the Philadelphia area using data from the Primary Open-Angle African American Glaucoma Genetics (POAAGG) study. Geocoded U.S. Census data were merged with individual-level demographics and neighbourhood-level measures, including air quality, food accessibility, and socioeconomic indicators, to assess their association with glaucoma risk and severity. RESULTS: increase, p = 0.003), and nonuse of alcohol (OR 0.56 for alcohol use, p < 0.001). Low food access was more common in controls (OR 0.86, p = 0.03), and severe POAG cases were associated with lower homeownership rates (OR 0.95 per 10% increase, p = 0.049). However, most socioeconomic and environmental factors (air quality, education, income, occupation, family structure) were not significantly linked to POAG risk or severity. CONCLUSION: Socioeconomic status did not significantly protect against POAG in African ancestry individuals. Individual factors were more influential, suggesting neighbourhood and socioeconomic factors may have a lesser impact than previously hypothesised.","journal":"Eye","year":2024,"id":458959,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9582,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1285773,"name":"Amy Shi","orcid":null,"position":1,"is_corresponding":false},{"id":446774,"name":"Roy Lee","orcid":"0000-0001-7602-3979","position":2,"is_corresponding":false},{"id":1285248,"name":"Yan Zhu","orcid":"0000-0002-5804-8926","position":3,"is_corresponding":false},{"id":781411,"name":"Yineng Chen","orcid":"0000-0003-4808-4525","position":4,"is_corresponding":false},{"id":1285774,"name":"Isabel Di Rosa","orcid":null,"position":5,"is_corresponding":false},{"id":448002,"name":"Rebecca Salowe","orcid":null,"position":6,"is_corresponding":false},{"id":258447,"name":"Gui‐Shuang Ying","orcid":"0000-0002-5752-1355","position":7,"is_corresponding":false},{"id":291481,"name":"Joan M. O’Brien","orcid":"0000-0003-4109-2928","position":8,"is_corresponding":false},{"id":1285247,"name":"Anusha Mamidipaka","orcid":"0009-0002-2725-0133","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-19T02:03:50.608887Z","pmid":"39663397","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}