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Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation

BACKGROUND: Factors influencing visual disability among the elderly in China remain largely unclear. We sought to determine the prevalence and identify risk factors for visual disability among older adults in China. METHODS: We employed a nested case-control study design, utilising data from the Chi...

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Autores principales: Gao, Yitian, Liu, Jing, Zhou, Wanqiong, Tian, Jing, Wang, Qiuyi, Zhou, Lanshu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644848/
https://www.ncbi.nlm.nih.gov/pubmed/37962345
http://dx.doi.org/10.7189/jogh.13.04142
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author Gao, Yitian
Liu, Jing
Zhou, Wanqiong
Tian, Jing
Wang, Qiuyi
Zhou, Lanshu
author_facet Gao, Yitian
Liu, Jing
Zhou, Wanqiong
Tian, Jing
Wang, Qiuyi
Zhou, Lanshu
author_sort Gao, Yitian
collection PubMed
description BACKGROUND: Factors influencing visual disability among the elderly in China remain largely unclear. We sought to determine the prevalence and identify risk factors for visual disability among older adults in China. METHODS: We employed a nested case-control study design, utilising data from the China Health and Retirement Longitudinal Study (CHARLS) collected between 2011 and 2018. Cases and controls were matched by a ratio of 1:3 by age and sex. Conditional logistic regression identified factors associated with visual disability. RESULTS: Prior to data matching, the cohort comprised 4729 complete samples, with 785 (16.6%) newly diagnosed cases of visual disability during the follow-up period. Following matching, 3132 subjects remained, with 783 in the case group and 2349 in the control group. Factors associated with the occurrence of visual disability in the elderly included per capita family income (odds ratio (OR) = 0.98; 95% confidence interval (CI) = 0.97-0.99), adequate sleep (OR = 0.75; 95% CI = 0.63-0.90), cognitive function (OR = 0.98; 95% CI = 0.96-0.99), heart disease (OR = 1.51; 95% CI = 1.20-1.89), kidney disease (OR = 1.45; 95% CI = 1.05-1.98), depression (OR = 1.04; 95% CI = 1.03-1.06), history of falls (OR = 1.34; 95% CI = 1.09-1.65), and cataracts (OR = 2.71; 95% CI = 1.81-4.07). CONCLUSIONS: Visual disability among the elderly in China remains a major concern. Per capita family income, adequate sleep, and cognitive function are protective factors, while heart disease, kidney disease, depression, history of falls, and cataracts are risk factors. Future efforts in preventing and treating visual disability in the elderly should target these high-risk factors and provide early interventions to this population.
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spelling pubmed-106448482023-11-15 Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation Gao, Yitian Liu, Jing Zhou, Wanqiong Tian, Jing Wang, Qiuyi Zhou, Lanshu J Glob Health Articles BACKGROUND: Factors influencing visual disability among the elderly in China remain largely unclear. We sought to determine the prevalence and identify risk factors for visual disability among older adults in China. METHODS: We employed a nested case-control study design, utilising data from the China Health and Retirement Longitudinal Study (CHARLS) collected between 2011 and 2018. Cases and controls were matched by a ratio of 1:3 by age and sex. Conditional logistic regression identified factors associated with visual disability. RESULTS: Prior to data matching, the cohort comprised 4729 complete samples, with 785 (16.6%) newly diagnosed cases of visual disability during the follow-up period. Following matching, 3132 subjects remained, with 783 in the case group and 2349 in the control group. Factors associated with the occurrence of visual disability in the elderly included per capita family income (odds ratio (OR) = 0.98; 95% confidence interval (CI) = 0.97-0.99), adequate sleep (OR = 0.75; 95% CI = 0.63-0.90), cognitive function (OR = 0.98; 95% CI = 0.96-0.99), heart disease (OR = 1.51; 95% CI = 1.20-1.89), kidney disease (OR = 1.45; 95% CI = 1.05-1.98), depression (OR = 1.04; 95% CI = 1.03-1.06), history of falls (OR = 1.34; 95% CI = 1.09-1.65), and cataracts (OR = 2.71; 95% CI = 1.81-4.07). CONCLUSIONS: Visual disability among the elderly in China remains a major concern. Per capita family income, adequate sleep, and cognitive function are protective factors, while heart disease, kidney disease, depression, history of falls, and cataracts are risk factors. Future efforts in preventing and treating visual disability in the elderly should target these high-risk factors and provide early interventions to this population. International Society of Global Health 2023-11-15 /pmc/articles/PMC10644848/ /pubmed/37962345 http://dx.doi.org/10.7189/jogh.13.04142 Text en Copyright © 2023 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Gao, Yitian
Liu, Jing
Zhou, Wanqiong
Tian, Jing
Wang, Qiuyi
Zhou, Lanshu
Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation
title Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation
title_full Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation
title_fullStr Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation
title_full_unstemmed Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation
title_short Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation
title_sort exploring factors influencing visual disability in the elderly population of china: a nested case-control investigation
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644848/
https://www.ncbi.nlm.nih.gov/pubmed/37962345
http://dx.doi.org/10.7189/jogh.13.04142
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