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Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18
BACKGROUND: Older adults experience a natural decline in health, physical and cognitive functionality, and vision impairment (VI) is one among them and has become an increasing health concern worldwide. The present study assessed the association of chronic morbidities such as diabetes, hypertension,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240694/ https://www.ncbi.nlm.nih.gov/pubmed/37277715 http://dx.doi.org/10.1186/s12886-023-03009-w |
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author | Srivastava, Shobhit Kumar, Manish Muhammad, T. Debnath, Paramita |
author_facet | Srivastava, Shobhit Kumar, Manish Muhammad, T. Debnath, Paramita |
author_sort | Srivastava, Shobhit |
collection | PubMed |
description | BACKGROUND: Older adults experience a natural decline in health, physical and cognitive functionality, and vision impairment (VI) is one among them and has become an increasing health concern worldwide. The present study assessed the association of chronic morbidities such as diabetes, hypertension, stroke, heart diseases and various socioeconomic factors with VI among older Indian adults. METHODS: Data for this study were derived from the nationally-representative Longitudinal Ageing Study in India (LASI), wave-1 (2017–18). VI was assessed using the cut-off of visual acuity worse than 20/80, and additional analysis was carried out using the definition of VI with a cut-off of visual acuity worse than 20/63. Descriptive statistics along with cross-tabulation were presented in the study. Proportion test was used to evaluate the significance level for sex differentials in VI among older adults. Additionally, multivariable logistic regression analysis was conducted to explore the factors associated with VI among older adults. RESULTS: About 33.8% of males and 40% of females suffered from VI in India (visual acuity worse than 20/80). Meghalaya (59.5%) had the highest prevalence for VI among older males followed by Arunachal Pradesh (58.4%) and Tripura (45.2%). Additionally, Arunachal Pradesh (77.4%) had the highest prevalence for VI among females followed by Meghalaya (68.8%) and Delhi (56.1%). Among the health factors, stroke [AOR: 1.20; CI: 1.03–1.53] and hypertension [AOR: 1.12; CI: 1.01–1.22] were the significant risk factors for VI among older adults. Additionally, being oldest old [AOR: 1.58; CI: 1.32–1.89] and divorced/separated/deserted/others [AOR: 1.42; CI: 1.08–1.87] were significantly associated with VI. Moreover, older adults with higher educational status [AOR: 0.42; CI: 0.34, 0.52], currently working [AOR: 0.77; CI: 0.67, 0.88], from urban areas [AOR: 0.86; CI: 0.76–0.98] and from western region [AOR: 0.55; CI: 0.48–0.64] had lower odds of VI in this study. CONCLUSION: This study identified higher rates of VI among those who are diagnosed with hypertension or stroke, currently unmarried, socioeconomically poorer, less educated and urban resident older people that can inform strategies to engage high risk groups. The findings also suggest that specific interventions that promote active aging are required for those who are socioeconomically disadvantaged as well as visually impaired. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-023-03009-w. |
format | Online Article Text |
id | pubmed-10240694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102406942023-06-06 Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18 Srivastava, Shobhit Kumar, Manish Muhammad, T. Debnath, Paramita BMC Ophthalmol Research BACKGROUND: Older adults experience a natural decline in health, physical and cognitive functionality, and vision impairment (VI) is one among them and has become an increasing health concern worldwide. The present study assessed the association of chronic morbidities such as diabetes, hypertension, stroke, heart diseases and various socioeconomic factors with VI among older Indian adults. METHODS: Data for this study were derived from the nationally-representative Longitudinal Ageing Study in India (LASI), wave-1 (2017–18). VI was assessed using the cut-off of visual acuity worse than 20/80, and additional analysis was carried out using the definition of VI with a cut-off of visual acuity worse than 20/63. Descriptive statistics along with cross-tabulation were presented in the study. Proportion test was used to evaluate the significance level for sex differentials in VI among older adults. Additionally, multivariable logistic regression analysis was conducted to explore the factors associated with VI among older adults. RESULTS: About 33.8% of males and 40% of females suffered from VI in India (visual acuity worse than 20/80). Meghalaya (59.5%) had the highest prevalence for VI among older males followed by Arunachal Pradesh (58.4%) and Tripura (45.2%). Additionally, Arunachal Pradesh (77.4%) had the highest prevalence for VI among females followed by Meghalaya (68.8%) and Delhi (56.1%). Among the health factors, stroke [AOR: 1.20; CI: 1.03–1.53] and hypertension [AOR: 1.12; CI: 1.01–1.22] were the significant risk factors for VI among older adults. Additionally, being oldest old [AOR: 1.58; CI: 1.32–1.89] and divorced/separated/deserted/others [AOR: 1.42; CI: 1.08–1.87] were significantly associated with VI. Moreover, older adults with higher educational status [AOR: 0.42; CI: 0.34, 0.52], currently working [AOR: 0.77; CI: 0.67, 0.88], from urban areas [AOR: 0.86; CI: 0.76–0.98] and from western region [AOR: 0.55; CI: 0.48–0.64] had lower odds of VI in this study. CONCLUSION: This study identified higher rates of VI among those who are diagnosed with hypertension or stroke, currently unmarried, socioeconomically poorer, less educated and urban resident older people that can inform strategies to engage high risk groups. The findings also suggest that specific interventions that promote active aging are required for those who are socioeconomically disadvantaged as well as visually impaired. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-023-03009-w. BioMed Central 2023-06-05 /pmc/articles/PMC10240694/ /pubmed/37277715 http://dx.doi.org/10.1186/s12886-023-03009-w 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 Srivastava, Shobhit Kumar, Manish Muhammad, T. Debnath, Paramita Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18 |
title | Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18 |
title_full | Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18 |
title_fullStr | Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18 |
title_full_unstemmed | Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18 |
title_short | Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18 |
title_sort | prevalence and predictors of vision impairment among older adults in india: evidence from lasi, 2017–18 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240694/ https://www.ncbi.nlm.nih.gov/pubmed/37277715 http://dx.doi.org/10.1186/s12886-023-03009-w |
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