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
BackgroundGlaucoma, 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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1541803/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850179271273742336 |
|---|---|
| author | Xiang Li Xiang Li Zhan-Yang Luo Sen Lei Zhi-Jie Zhang Jia-feng Tang Yi-qing Sun Yi-qing Sun |
| author_facet | Xiang Li Xiang Li Zhan-Yang Luo Sen Lei Zhi-Jie Zhang Jia-feng Tang Yi-qing Sun Yi-qing Sun |
| author_sort | Xiang Li |
| collection | DOAJ |
| description | BackgroundGlaucoma, 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.MethodsUsing 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.ResultsAfter adjusting for covariates, six pollutants (PM2.5, PM10, PM1, NH4, Cl, and NO3) demonstrated significant associations with glaucoma incidence. Subsequent logistic regression revealed that the occurrence of glaucoma may be influenced by a combination of environmental pollutants (NH4 and NO3), regional categories, gender, age, educational level, and diabetes history.ConclusionIn conclusion, this study offers a novel perspective on glaucoma risk prediction by integrating environmental pollutants, potentially contributing to enhanced preventive strategies for this condition. |
| format | Article |
| id | doaj-art-ac3e2dde757f47bc95fdbab3b0ff3b27 |
| institution | OA Journals |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-ac3e2dde757f47bc95fdbab3b0ff3b272025-08-20T02:18:32ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-04-011310.3389/fpubh.2025.15418031541803Exploring association between ambient air pollution and glaucoma in China: a nationwide analysis with predictive modeling based on the China Health and Retirement Longitudinal StudyXiang Li0Xiang Li1Zhan-Yang Luo2Sen Lei3Zhi-Jie Zhang4Jia-feng Tang5Yi-qing Sun6Yi-qing Sun7Eye Institute and Affiliated Xiamen Eye Center, School of Medicine, Xiamen University, Xiamen, Fujian, ChinaChongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Chongqing Three Gorges Medical College, Wanzhou, ChinaDepartment of Pharmacy, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, ChinaDepartment of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, ChinaEye Institute and Affiliated Xiamen Eye Center, School of Medicine, Xiamen University, Xiamen, Fujian, ChinaChongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Chongqing Three Gorges Medical College, Wanzhou, ChinaChongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Chongqing Three Gorges Medical College, Wanzhou, ChinaDepartment of Orthopedics, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, Shaanxi, ChinaBackgroundGlaucoma, 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.MethodsUsing 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.ResultsAfter adjusting for covariates, six pollutants (PM2.5, PM10, PM1, NH4, Cl, and NO3) demonstrated significant associations with glaucoma incidence. Subsequent logistic regression revealed that the occurrence of glaucoma may be influenced by a combination of environmental pollutants (NH4 and NO3), regional categories, gender, age, educational level, and diabetes history.ConclusionIn conclusion, this study offers a novel perspective on glaucoma risk prediction by integrating environmental pollutants, potentially contributing to enhanced preventive strategies for this condition.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1541803/fullglaucomaair pollutantCHARLSmachine learningmiddle-aged and older adults |
| spellingShingle | Xiang Li Xiang Li Zhan-Yang Luo Sen Lei Zhi-Jie Zhang Jia-feng Tang Yi-qing Sun Yi-qing Sun 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 Frontiers in Public Health glaucoma air pollutant CHARLS machine learning middle-aged and older adults |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | glaucoma air pollutant CHARLS machine learning middle-aged and older adults |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1541803/full |
| work_keys_str_mv | AT xiangli exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy AT xiangli exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy AT zhanyangluo exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy AT senlei exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy AT zhijiezhang exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy AT jiafengtang exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy AT yiqingsun exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy AT yiqingsun exploringassociationbetweenambientairpollutionandglaucomainchinaanationwideanalysiswithpredictivemodelingbasedonthechinahealthandretirementlongitudinalstudy |