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Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey
BACKGROUND: A rising proportion of elderly in India has infused notable challenges to the healthcare system, which is already underdeveloped. On one side, NCDs are increasing among the elderly in India; however, on the other side, CDs are also a cause of concern among the elderly in India. While con...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552506/ https://www.ncbi.nlm.nih.gov/pubmed/36217103 http://dx.doi.org/10.1186/s12877-022-03481-x |
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author | Chauhan, Shekhar Kumar, Shubham Patel, Ratna Simon, David Jean Kumari, Aradhana |
author_facet | Chauhan, Shekhar Kumar, Shubham Patel, Ratna Simon, David Jean Kumari, Aradhana |
author_sort | Chauhan, Shekhar |
collection | PubMed |
description | BACKGROUND: A rising proportion of elderly in India has infused notable challenges to the healthcare system, which is already underdeveloped. On one side, NCDs are increasing among the elderly in India; however, on the other side, CDs are also a cause of concern among the elderly in India. While controlling the outbreak of communicable diseases (CDs) remained a priority, non-communicable diseases (NCDs) are placing an unavoidable burden on the health and social security system. India, a developing nation in South Asia, has seen an unprecedented economic growth in the past few years; however, it struggled to fight the burden of communicable and non-communicable diseases. Therefore, this study aimed at examining the burden of CDs and NCDs among elderly in India. METHODS: Data from Longitudinal Ageing Study in India (LASI Wave-I, 2017–18) were drawn to conduct this study. The LASI is a large-scale nationwide scientific study of the health, economics, and social determinants and implications of India's aged population. The LASI is a nationally representative survey of 72,250 aged 45 and over from all Indian states and union territories. Response variables were the occurrence of CDs and NCDs. The bi-variate and binary logistic regression were used to predict the association between communicable and non-communicable diseases by various socio-demographic and health parameters. Furthermore, to understand the inequalities of communicable and non-communicable diseases in urban and rural areas, the Fairlie decomposition technique was used to predict the contribution toward rural–urban inequalities in CDs and NCDs. RESULTS: Prevalence of communicable diseases was higher among uneducated elderly than those with higher education (31.9% vs. 17.3%); however, the prevalence of non-communicable diseases was higher among those with higher education (67.4% vs. 47.1%) than uneducated elderly. The odds of NCDs were higher among female elderly (OR = 1.13; C.I. = 1–1.27) than their male counterparts. Similarly, the odds of CDs were lower among urban elderly (OR = 0.70; C.I. = 0.62–0.81) than rural elderly, and odds of NCDs were higher among urban elderly (OR = 1.85; C.I. = 1.62–2.10) than their rural counterparts. Results found that education (50%) contributes nearly half of the rural–urban inequality in the prevalence of CDs among the elderly. Education status and current working status were the two significant predictors of widening rural–urban inequality in the prevalence of NCDs among the elderly. CONCLUSION: The burden of both CD and NCD among the elderly population requires immediate intervention. The needs of men and women and urban and rural elderly must be addressed through appropriate efforts. In a developing country like India, preventive measures, rather than curative measures of communicable diseases, will be cost-effective and helpful. Further, focusing on educational interventions among older adults might bring some required changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03481-x. |
format | Online Article Text |
id | pubmed-9552506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95525062022-10-12 Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey Chauhan, Shekhar Kumar, Shubham Patel, Ratna Simon, David Jean Kumari, Aradhana BMC Geriatr Research BACKGROUND: A rising proportion of elderly in India has infused notable challenges to the healthcare system, which is already underdeveloped. On one side, NCDs are increasing among the elderly in India; however, on the other side, CDs are also a cause of concern among the elderly in India. While controlling the outbreak of communicable diseases (CDs) remained a priority, non-communicable diseases (NCDs) are placing an unavoidable burden on the health and social security system. India, a developing nation in South Asia, has seen an unprecedented economic growth in the past few years; however, it struggled to fight the burden of communicable and non-communicable diseases. Therefore, this study aimed at examining the burden of CDs and NCDs among elderly in India. METHODS: Data from Longitudinal Ageing Study in India (LASI Wave-I, 2017–18) were drawn to conduct this study. The LASI is a large-scale nationwide scientific study of the health, economics, and social determinants and implications of India's aged population. The LASI is a nationally representative survey of 72,250 aged 45 and over from all Indian states and union territories. Response variables were the occurrence of CDs and NCDs. The bi-variate and binary logistic regression were used to predict the association between communicable and non-communicable diseases by various socio-demographic and health parameters. Furthermore, to understand the inequalities of communicable and non-communicable diseases in urban and rural areas, the Fairlie decomposition technique was used to predict the contribution toward rural–urban inequalities in CDs and NCDs. RESULTS: Prevalence of communicable diseases was higher among uneducated elderly than those with higher education (31.9% vs. 17.3%); however, the prevalence of non-communicable diseases was higher among those with higher education (67.4% vs. 47.1%) than uneducated elderly. The odds of NCDs were higher among female elderly (OR = 1.13; C.I. = 1–1.27) than their male counterparts. Similarly, the odds of CDs were lower among urban elderly (OR = 0.70; C.I. = 0.62–0.81) than rural elderly, and odds of NCDs were higher among urban elderly (OR = 1.85; C.I. = 1.62–2.10) than their rural counterparts. Results found that education (50%) contributes nearly half of the rural–urban inequality in the prevalence of CDs among the elderly. Education status and current working status were the two significant predictors of widening rural–urban inequality in the prevalence of NCDs among the elderly. CONCLUSION: The burden of both CD and NCD among the elderly population requires immediate intervention. The needs of men and women and urban and rural elderly must be addressed through appropriate efforts. In a developing country like India, preventive measures, rather than curative measures of communicable diseases, will be cost-effective and helpful. Further, focusing on educational interventions among older adults might bring some required changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03481-x. BioMed Central 2022-10-10 /pmc/articles/PMC9552506/ /pubmed/36217103 http://dx.doi.org/10.1186/s12877-022-03481-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Chauhan, Shekhar Kumar, Shubham Patel, Ratna Simon, David Jean Kumari, Aradhana Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey |
title | Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey |
title_full | Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey |
title_fullStr | Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey |
title_full_unstemmed | Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey |
title_short | Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey |
title_sort | burden of communicable and non-communicable diseases-related inequalities among older adults in india: a study based on lasi survey |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552506/ https://www.ncbi.nlm.nih.gov/pubmed/36217103 http://dx.doi.org/10.1186/s12877-022-03481-x |
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