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Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study
BACKGROUND: Although several studies have reported the relationship between vision impairment (VI) and multimorbidity in high-income countries, this relationship has not been reported in low- and middle-income countries. This study aimed to explore the relationship between VI with multimorbidity and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594768/ https://www.ncbi.nlm.nih.gov/pubmed/37875816 http://dx.doi.org/10.1186/s12877-023-04393-0 |
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author | Xiong, Kun Mao, Huiyan Zhang, Qi’ao Lei, Changrong Liang, Yuanbo |
author_facet | Xiong, Kun Mao, Huiyan Zhang, Qi’ao Lei, Changrong Liang, Yuanbo |
author_sort | Xiong, Kun |
collection | PubMed |
description | BACKGROUND: Although several studies have reported the relationship between vision impairment (VI) and multimorbidity in high-income countries, this relationship has not been reported in low- and middle-income countries. This study aimed to explore the relationship between VI with multimorbidity and chronic conditions among the elderly Chinese population. METHODS: The cross-sectional analysis was applied to data from the China Health and Retirement Longitudinal Study (CHARLS) in 2018. A total of 8,108 participants ≥ 60 years old were included, and 15 chronic conditions were used in this study. Logistic regression analysis was used to analyze the relationship between VI with multimorbidity and chronic conditions. RESULTS: The prevalence of 15 chronic conditions and multimorbidity was higher among the elderly with VI than those without VI. After adjusting for demographic and socioeconomic confounders, 10 chronic conditions were associated with VI (all P < 0.05). Furthermore, positive association was observed between VI and one (odds ratio [OR]: 1.52; 95% confidence intervals [95%CI]: 1.16–2.00; P = 0.002), two (OR: 2.09; 95%CI: 1.61–2.71; P < 0.001), three (OR: 2.87; 95%CI: 2.22–3.72; P < 0.001), four (OR: 3.60; 95%CI: 2.77–4.69; P < 0.001), and five or more (OR: 5.53; 95%CI: 4.32–7.09; P < 0.001) chronic conditions, and the association increased as the number of chronic conditions (P for trend < 0.001). Sensitivity analysis stratified by gender, education, smoking status, and annual per capita household expenditure still found VI to be positively associated with multimorbidity. CONCLUSIONS: For patients older than 60 years, VI was independently associated with multimorbidity and various chronic conditions. This result has important implications for healthcare resource plans and clinical practice, for example, increased diabetes and kidney function screening for patients with VI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04393-0. |
format | Online Article Text |
id | pubmed-10594768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105947682023-10-25 Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study Xiong, Kun Mao, Huiyan Zhang, Qi’ao Lei, Changrong Liang, Yuanbo BMC Geriatr Research BACKGROUND: Although several studies have reported the relationship between vision impairment (VI) and multimorbidity in high-income countries, this relationship has not been reported in low- and middle-income countries. This study aimed to explore the relationship between VI with multimorbidity and chronic conditions among the elderly Chinese population. METHODS: The cross-sectional analysis was applied to data from the China Health and Retirement Longitudinal Study (CHARLS) in 2018. A total of 8,108 participants ≥ 60 years old were included, and 15 chronic conditions were used in this study. Logistic regression analysis was used to analyze the relationship between VI with multimorbidity and chronic conditions. RESULTS: The prevalence of 15 chronic conditions and multimorbidity was higher among the elderly with VI than those without VI. After adjusting for demographic and socioeconomic confounders, 10 chronic conditions were associated with VI (all P < 0.05). Furthermore, positive association was observed between VI and one (odds ratio [OR]: 1.52; 95% confidence intervals [95%CI]: 1.16–2.00; P = 0.002), two (OR: 2.09; 95%CI: 1.61–2.71; P < 0.001), three (OR: 2.87; 95%CI: 2.22–3.72; P < 0.001), four (OR: 3.60; 95%CI: 2.77–4.69; P < 0.001), and five or more (OR: 5.53; 95%CI: 4.32–7.09; P < 0.001) chronic conditions, and the association increased as the number of chronic conditions (P for trend < 0.001). Sensitivity analysis stratified by gender, education, smoking status, and annual per capita household expenditure still found VI to be positively associated with multimorbidity. CONCLUSIONS: For patients older than 60 years, VI was independently associated with multimorbidity and various chronic conditions. This result has important implications for healthcare resource plans and clinical practice, for example, increased diabetes and kidney function screening for patients with VI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04393-0. BioMed Central 2023-10-24 /pmc/articles/PMC10594768/ /pubmed/37875816 http://dx.doi.org/10.1186/s12877-023-04393-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xiong, Kun Mao, Huiyan Zhang, Qi’ao Lei, Changrong Liang, Yuanbo Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study |
title | Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study |
title_full | Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study |
title_fullStr | Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study |
title_full_unstemmed | Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study |
title_short | Associations between vision impairment and multimorbidity among older Chinese adults: results from the China health and retirement longitudinal study |
title_sort | associations between vision impairment and multimorbidity among older chinese adults: results from the china health and retirement longitudinal study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594768/ https://www.ncbi.nlm.nih.gov/pubmed/37875816 http://dx.doi.org/10.1186/s12877-023-04393-0 |
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