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The burden of non-disabled frailty and its associated factors among older adults in Bangladesh

OBJECTIVE: The present study aims to measure the prevalence of non-disabled frailty and its associated factors among Bangladeshi older adults. METHODS: This cross-sectional study was conducted during September and October 2021 among 1,045 Bangladeshi older adults (≥60 years). Telephone interviews, u...

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Autores principales: Mistry, Sabuj Kanti, Ali, A. R. M. Mehrab, Yadav, Uday Narayan, Ghimire, Saruna, Anwar, Afsana, Huda, Md. Nazmul, Khanam, Fouzia, Mahumud, Rashidul Alam, Parray, Ateeb Ahmad, Bhattacharjee, Shovon, Lim, David, Harris, Mark Fort
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684086/
https://www.ncbi.nlm.nih.gov/pubmed/38015967
http://dx.doi.org/10.1371/journal.pone.0294889
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author Mistry, Sabuj Kanti
Ali, A. R. M. Mehrab
Yadav, Uday Narayan
Ghimire, Saruna
Anwar, Afsana
Huda, Md. Nazmul
Khanam, Fouzia
Mahumud, Rashidul Alam
Parray, Ateeb Ahmad
Bhattacharjee, Shovon
Lim, David
Harris, Mark Fort
author_facet Mistry, Sabuj Kanti
Ali, A. R. M. Mehrab
Yadav, Uday Narayan
Ghimire, Saruna
Anwar, Afsana
Huda, Md. Nazmul
Khanam, Fouzia
Mahumud, Rashidul Alam
Parray, Ateeb Ahmad
Bhattacharjee, Shovon
Lim, David
Harris, Mark Fort
author_sort Mistry, Sabuj Kanti
collection PubMed
description OBJECTIVE: The present study aims to measure the prevalence of non-disabled frailty and its associated factors among Bangladeshi older adults. METHODS: This cross-sectional study was conducted during September and October 2021 among 1,045 Bangladeshi older adults (≥60 years). Telephone interviews, using a semi-structured questionnaire, were undertaken to collect data on participants’ characteristics and level of frailty. The non-disabled frailty was measured using the ‘Frail Non-Disabled (FiND)’ questionnaire. A multinomial logistic regression model assessed the factors associated with frailty among the participants. RESULTS: Around a quarter of the participants (24.8%) were frail. The multinomial regression analysis showed that older participants aged ≥80 years (RRR = 3.23, 95% CI: 1.41–7.37) were more likely to be frail compared to participants aged 60–69 years. Likewise, the participants living in a large family with ≥4 members (RRR = 1.39, 95% CI: 1.01–1.92) were more likely to be frail compared to those living in smaller families. Also, participants having memory or concentration problems (RRR = 1.56, 95% CI: 1.12–2.17) were more likely to be frail compared to those who were not suffering from these problems. Moreover, participants whose family members were non-responsive to their day-to-day assistance (RRR = 1.47, 95% CI: 1.06–2.03) were more likely to be frail compared to those whose family members were responsive. Furthermore, participants who were feeling lonely (RRR = 1.45, 95% CI: 1.07–1.98) were more likely to be frail than their counterparts who were not feeling lonely. CONCLUSIONS: The findings of the present study suggest developing tailored interventions to address the burden of frailty among the older populations in Bangladesh. In particular, providing long-term care and health promotion activities can be of value in preventing frailty and reducing adverse health outcomes among this vulnerable population group.
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spelling pubmed-106840862023-11-30 The burden of non-disabled frailty and its associated factors among older adults in Bangladesh Mistry, Sabuj Kanti Ali, A. R. M. Mehrab Yadav, Uday Narayan Ghimire, Saruna Anwar, Afsana Huda, Md. Nazmul Khanam, Fouzia Mahumud, Rashidul Alam Parray, Ateeb Ahmad Bhattacharjee, Shovon Lim, David Harris, Mark Fort PLoS One Research Article OBJECTIVE: The present study aims to measure the prevalence of non-disabled frailty and its associated factors among Bangladeshi older adults. METHODS: This cross-sectional study was conducted during September and October 2021 among 1,045 Bangladeshi older adults (≥60 years). Telephone interviews, using a semi-structured questionnaire, were undertaken to collect data on participants’ characteristics and level of frailty. The non-disabled frailty was measured using the ‘Frail Non-Disabled (FiND)’ questionnaire. A multinomial logistic regression model assessed the factors associated with frailty among the participants. RESULTS: Around a quarter of the participants (24.8%) were frail. The multinomial regression analysis showed that older participants aged ≥80 years (RRR = 3.23, 95% CI: 1.41–7.37) were more likely to be frail compared to participants aged 60–69 years. Likewise, the participants living in a large family with ≥4 members (RRR = 1.39, 95% CI: 1.01–1.92) were more likely to be frail compared to those living in smaller families. Also, participants having memory or concentration problems (RRR = 1.56, 95% CI: 1.12–2.17) were more likely to be frail compared to those who were not suffering from these problems. Moreover, participants whose family members were non-responsive to their day-to-day assistance (RRR = 1.47, 95% CI: 1.06–2.03) were more likely to be frail compared to those whose family members were responsive. Furthermore, participants who were feeling lonely (RRR = 1.45, 95% CI: 1.07–1.98) were more likely to be frail than their counterparts who were not feeling lonely. CONCLUSIONS: The findings of the present study suggest developing tailored interventions to address the burden of frailty among the older populations in Bangladesh. In particular, providing long-term care and health promotion activities can be of value in preventing frailty and reducing adverse health outcomes among this vulnerable population group. Public Library of Science 2023-11-28 /pmc/articles/PMC10684086/ /pubmed/38015967 http://dx.doi.org/10.1371/journal.pone.0294889 Text en © 2023 Mistry et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mistry, Sabuj Kanti
Ali, A. R. M. Mehrab
Yadav, Uday Narayan
Ghimire, Saruna
Anwar, Afsana
Huda, Md. Nazmul
Khanam, Fouzia
Mahumud, Rashidul Alam
Parray, Ateeb Ahmad
Bhattacharjee, Shovon
Lim, David
Harris, Mark Fort
The burden of non-disabled frailty and its associated factors among older adults in Bangladesh
title The burden of non-disabled frailty and its associated factors among older adults in Bangladesh
title_full The burden of non-disabled frailty and its associated factors among older adults in Bangladesh
title_fullStr The burden of non-disabled frailty and its associated factors among older adults in Bangladesh
title_full_unstemmed The burden of non-disabled frailty and its associated factors among older adults in Bangladesh
title_short The burden of non-disabled frailty and its associated factors among older adults in Bangladesh
title_sort burden of non-disabled frailty and its associated factors among older adults in bangladesh
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684086/
https://www.ncbi.nlm.nih.gov/pubmed/38015967
http://dx.doi.org/10.1371/journal.pone.0294889
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