ArticleFrontiers in public health2025
Exploring association between ambient air pollution and glaucoma in China: a nationwide analysis with predictive modeling based on the China Health and Retirement Longitudinal Study.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A novel link between enhanced chenodeoxycholic acid synthesis and multi-walled carbon nanotubes-induced proliferation inhibition and apoptosis in human ocular cells.Journal of advanced research · 2026Article
- Mendelian randomization analysis of gut microbiota-immune cell interactions in malignant neoplasm of nasopharynx.AMB Express · 2025Article
- ePWV as a scalable risk factor for large-scale glaucoma screening: evidence from a national Chinese cohort.Frontiers in cell and developmental biology · 2025Article
- Ambient Air Pollution and Glaucoma: A Systematic Review and Meta-analysis of Observational Studies.Journal of current glaucoma practiceReview
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Authors and funding
6 authors.
Funding
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Abstract
Background: Glaucoma, a leading global cause of blindness, has garnered increasing research attention in recent years concerning its potential association with environmental factors. This study investigates the influence of various environmental pollutants on glaucoma prevalence among middle-aged and older adult populations in China, a country with a high incidence of the disease. Methods: Using data from 17,184 participants in the 2015 China Health and Retirement Longitudinal Study (CHARLS), individuals were grouped based on glaucoma diagnosis. Environmental pollutant exposure levels were derived from satellite-based spatiotemporal models. Standardized linear regression and restricted cubic spline (RCS) analysis were applied to evaluate the impact of pollutants on glaucoma across different covariate-adjusted models, while logistic regression was used to assess significant variables for constructing and evaluating a predictive model. Results: After adjusting for covariates, six pollutants (PM Conclusion: In conclusion, this study offers a novel perspective on glaucoma risk prediction by integrating environmental pollutants, potentially contributing to enhanced preventive strategies for this condition.
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