Cargando…

Wealth disparity and frailty among community-dwelling older adults in India

BACKGROUND: Due to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequ...

Descripción completa

Detalles Bibliográficos
Autores principales: Saravanakumar, Priya, Balachandran, Arun, Muhammad, T., Drishti, Drishti, Srivastava, Shobhit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675126/
https://www.ncbi.nlm.nih.gov/pubmed/36401189
http://dx.doi.org/10.1186/s12889-022-14434-9
_version_ 1784833301492531200
author Saravanakumar, Priya
Balachandran, Arun
Muhammad, T.
Drishti, Drishti
Srivastava, Shobhit
author_facet Saravanakumar, Priya
Balachandran, Arun
Muhammad, T.
Drishti, Drishti
Srivastava, Shobhit
author_sort Saravanakumar, Priya
collection PubMed
description BACKGROUND: Due to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequality. METHODS: Data were drawn from the first wave of the Longitudinal Ageing Study in India (LASI) conducted during 2017–18. Logistic regression analysis was used to examine the association between wealth status and frailty. We used the concentration index to measure the magnitude of wealth-related inequality in frailty. A decomposition analysis based on the logit model was used to assess the contribution of each predictor to the total inequality. RESULTS: The prevalence of physical frailty was significantly higher among the older adults in the poor group than in the non-poor group [Difference (poor vs. non-poor): 6.4%; p < 0.001]. Regression results indicated that older adults in the poorest group were 23% more likely to be physically frail than those in the richest category [Adjusted odds ratio (AOR) = 1.23; 95% confidence interval (CI): 1.11, 1.38]. The overall concentration index of frailty was 0.058 among the older adults, indicating that frailty is more concentrated among older adults with poor wealth status. Body mass index, wealth index, educational status, and region were the major and significant contributors to the socioeconomic status (SES) related inequalities in frailty. CONCLUSIONS: Results suggest the need for formulating effective prevention and intervention strategies to decelerate the development of physical frailty among older adults in India, especially those with poor socioeconomic background. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14434-9.
format Online
Article
Text
id pubmed-9675126
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96751262022-11-20 Wealth disparity and frailty among community-dwelling older adults in India Saravanakumar, Priya Balachandran, Arun Muhammad, T. Drishti, Drishti Srivastava, Shobhit BMC Public Health Research BACKGROUND: Due to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequality. METHODS: Data were drawn from the first wave of the Longitudinal Ageing Study in India (LASI) conducted during 2017–18. Logistic regression analysis was used to examine the association between wealth status and frailty. We used the concentration index to measure the magnitude of wealth-related inequality in frailty. A decomposition analysis based on the logit model was used to assess the contribution of each predictor to the total inequality. RESULTS: The prevalence of physical frailty was significantly higher among the older adults in the poor group than in the non-poor group [Difference (poor vs. non-poor): 6.4%; p < 0.001]. Regression results indicated that older adults in the poorest group were 23% more likely to be physically frail than those in the richest category [Adjusted odds ratio (AOR) = 1.23; 95% confidence interval (CI): 1.11, 1.38]. The overall concentration index of frailty was 0.058 among the older adults, indicating that frailty is more concentrated among older adults with poor wealth status. Body mass index, wealth index, educational status, and region were the major and significant contributors to the socioeconomic status (SES) related inequalities in frailty. CONCLUSIONS: Results suggest the need for formulating effective prevention and intervention strategies to decelerate the development of physical frailty among older adults in India, especially those with poor socioeconomic background. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14434-9. BioMed Central 2022-11-18 /pmc/articles/PMC9675126/ /pubmed/36401189 http://dx.doi.org/10.1186/s12889-022-14434-9 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
Saravanakumar, Priya
Balachandran, Arun
Muhammad, T.
Drishti, Drishti
Srivastava, Shobhit
Wealth disparity and frailty among community-dwelling older adults in India
title Wealth disparity and frailty among community-dwelling older adults in India
title_full Wealth disparity and frailty among community-dwelling older adults in India
title_fullStr Wealth disparity and frailty among community-dwelling older adults in India
title_full_unstemmed Wealth disparity and frailty among community-dwelling older adults in India
title_short Wealth disparity and frailty among community-dwelling older adults in India
title_sort wealth disparity and frailty among community-dwelling older adults in india
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675126/
https://www.ncbi.nlm.nih.gov/pubmed/36401189
http://dx.doi.org/10.1186/s12889-022-14434-9
work_keys_str_mv AT saravanakumarpriya wealthdisparityandfrailtyamongcommunitydwellingolderadultsinindia
AT balachandranarun wealthdisparityandfrailtyamongcommunitydwellingolderadultsinindia
AT muhammadt wealthdisparityandfrailtyamongcommunitydwellingolderadultsinindia
AT drishtidrishti wealthdisparityandfrailtyamongcommunitydwellingolderadultsinindia
AT srivastavashobhit wealthdisparityandfrailtyamongcommunitydwellingolderadultsinindia