Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population
AIM: To investigate the risk and protective factors associated with the retinal nerve fiber layer defect (RNFLD) in a Chinese adult population. METHODS: This study was a cross-sectional population-based investigation including employees and retirees of a coal mining company in Kailuan City, Hebei Pr...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Press of International Journal of Ophthalmology (IJO PRESS)
2023-03-01
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| Series: | International Journal of Ophthalmology |
| Subjects: | |
| Online Access: | http://ies.ijo.cn/en_publish/2023/3/20230314.pdf |
| _version_ | 1827999850509107200 |
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| author | Ye-Nan Wang Ya-Xing Wang Jin-Qiong Zhou Qian-Qian Wan Li-Jian Fang Hai-Wei Wang Jing-Yan Yang Li Dong Jin-Yuan Wang Xuan Yang Yan-Ni Yan Qian Wang Shou-Ling Wu Shuo-Hua Chen Jing-Yuan Zhu Wen-Bin Wei Jost B. Jonas |
| author_facet | Ye-Nan Wang Ya-Xing Wang Jin-Qiong Zhou Qian-Qian Wan Li-Jian Fang Hai-Wei Wang Jing-Yan Yang Li Dong Jin-Yuan Wang Xuan Yang Yan-Ni Yan Qian Wang Shou-Ling Wu Shuo-Hua Chen Jing-Yuan Zhu Wen-Bin Wei Jost B. Jonas |
| author_sort | Ye-Nan Wang |
| collection | DOAJ |
| description | AIM: To investigate the risk and protective factors associated with the retinal nerve fiber layer defect (RNFLD) in a Chinese adult population. METHODS: This study was a cross-sectional population-based investigation including employees and retirees of a coal mining company in Kailuan City, Hebei Province. All the study participants underwent a comprehensive systemic and ophthalmic examination. RNFLD was diagnosed on fundus photographs. Binary logistic regression was used to investigate the risk and protective factors associated with the RNFLD. RESULTS: The community-based study included 14 440 participants. There were 10 473 participants in our study, including 7120 males (68.0%) and 3353 females (32.0%). The age range was 45-108y, averaging 59.56±8.66y. Totally 568 participants had RNFLD and the prevalence rate was 5.42%. A higher prevalence of RNFLD was associated with older age [P<0.001, odds ratio (OR): 1.032; 95% confidence interval (CI): 1.018-1.046], longer axial length (P=0.010, OR: 1.190; 95%CI: 1.042-1.359), hypertension (P=0.007, OR: 0.639; 95%CI: 0.460-0.887), and diabetes mellitus (P=0.019, OR: 0.684; 95%CI: 0.499-0.939). The protective factors of RNFLD were visual acuity (P=0.038, OR: 0.617; 95%CI: 0.391-0.975), and central anterior chamber depth (P=0.046, OR: 0.595; 95%CI: 0.358-0.990). CONCLUSION: In our cross-sectional community-based study, with an age range of 45-108y, RNFLD is associated with older age, longer axial length, hypertension, and diabetes mellitus. The protective factors of RNFLD are visual acuity and central anterior chamber depth. These can help to predict and evaluate RNFLD related diseases and identify high-risk populations early. |
| first_indexed | 2024-04-10T06:06:04Z |
| format | Article |
| id | doaj.art-510f551ca99a47f89273f78088a6d215 |
| institution | Directory Open Access Journal |
| issn | 2222-3959 2227-4898 |
| language | English |
| last_indexed | 2024-04-10T06:06:04Z |
| publishDate | 2023-03-01 |
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) |
| record_format | Article |
| series | International Journal of Ophthalmology |
| spelling | doaj.art-510f551ca99a47f89273f78088a6d2152023-03-03T03:26:29ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982023-03-0116342743310.18240/ijo.2023.03.1420230314Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult populationYe-Nan Wang0Ya-Xing Wang1Jin-Qiong Zhou2Qian-Qian Wan3Li-Jian Fang4Hai-Wei Wang5Jing-Yan Yang6Li Dong7Jin-Yuan Wang8Xuan Yang9Yan-Ni Yan10Qian Wang11Shou-Ling Wu12Shuo-Hua Chen13Jing-Yuan Zhu14Wen-Bin Wei15Jost B. Jonas16Wen-Bin Wei. Department of Ophthalmology, Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Dongjiaominxiang Street, No.1, Dongcheng District, Beijing 100730, China. weiwenbintr@163.comBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaDepartment of Ophthalmology, the Second Hospital of Anhui Medical University, Hefei 230011, Anhui Province, ChinaDepartment of Ophthalmology, Beijing Liangxiang Hospital, Capital Medical University, Beijing 102401, ChinaDepartment of Ophthalmology, Fuxing Hospital, Capital Medical University, Beijing 100045, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaCardiology Department, Kailuan General Hospital, Tangshan 063001, Hebei Province, ChinaHealth Care Center, Kailuan Group, Tangshan 063000, Hebei Province, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaBeijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology＆Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, ChinaDepartment of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karls-University of Heidelberg, Heidelberg 68167, GermanyAIM: To investigate the risk and protective factors associated with the retinal nerve fiber layer defect (RNFLD) in a Chinese adult population. METHODS: This study was a cross-sectional population-based investigation including employees and retirees of a coal mining company in Kailuan City, Hebei Province. All the study participants underwent a comprehensive systemic and ophthalmic examination. RNFLD was diagnosed on fundus photographs. Binary logistic regression was used to investigate the risk and protective factors associated with the RNFLD. RESULTS: The community-based study included 14 440 participants. There were 10 473 participants in our study, including 7120 males (68.0%) and 3353 females (32.0%). The age range was 45-108y, averaging 59.56±8.66y. Totally 568 participants had RNFLD and the prevalence rate was 5.42%. A higher prevalence of RNFLD was associated with older age [P<0.001, odds ratio (OR): 1.032; 95% confidence interval (CI): 1.018-1.046], longer axial length (P=0.010, OR: 1.190; 95%CI: 1.042-1.359), hypertension (P=0.007, OR: 0.639; 95%CI: 0.460-0.887), and diabetes mellitus (P=0.019, OR: 0.684; 95%CI: 0.499-0.939). The protective factors of RNFLD were visual acuity (P=0.038, OR: 0.617; 95%CI: 0.391-0.975), and central anterior chamber depth (P=0.046, OR: 0.595; 95%CI: 0.358-0.990). CONCLUSION: In our cross-sectional community-based study, with an age range of 45-108y, RNFLD is associated with older age, longer axial length, hypertension, and diabetes mellitus. The protective factors of RNFLD are visual acuity and central anterior chamber depth. These can help to predict and evaluate RNFLD related diseases and identify high-risk populations early.http://ies.ijo.cn/en_publish/2023/3/20230314.pdfretinal nerve fiber layer defectretinal nerve fiber layerageaxial lengthhypertensiondiabetes mellitusvisual acuitycentral anterior chamber depth |
| spellingShingle | Ye-Nan Wang Ya-Xing Wang Jin-Qiong Zhou Qian-Qian Wan Li-Jian Fang Hai-Wei Wang Jing-Yan Yang Li Dong Jin-Yuan Wang Xuan Yang Yan-Ni Yan Qian Wang Shou-Ling Wu Shuo-Hua Chen Jing-Yuan Zhu Wen-Bin Wei Jost B. Jonas Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population International Journal of Ophthalmology retinal nerve fiber layer defect retinal nerve fiber layer age axial length hypertension diabetes mellitus visual acuity central anterior chamber depth |
| title | Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population |
| title_full | Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population |
| title_fullStr | Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population |
| title_full_unstemmed | Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population |
| title_short | Analysis of risk and protective factors associated with retinal nerve fiber layer defect in a Chinese adult population |
| title_sort | analysis of risk and protective factors associated with retinal nerve fiber layer defect in a chinese adult population |
| topic | retinal nerve fiber layer defect retinal nerve fiber layer age axial length hypertension diabetes mellitus visual acuity central anterior chamber depth |
| url | http://ies.ijo.cn/en_publish/2023/3/20230314.pdf |
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