Cargando…

Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country

BACKGROUND: Frailty has been increasingly recognized as a public health problem for aging populations with significant social impact, particularly in low- and middle-income countries. We aimed to develop a modified version of the Thai Frailty Index (TFI) and explore the association between different...

Descripción completa

Detalles Bibliográficos
Autores principales: Morkphrom, Ekkaphop, Srinonprasert, Varalak, Sura-amonrattana, Unchana, Siriussawakul, Arunotai, Sainimnuan, Supawadee, Preedachitkun, Rinrada, Aekplakorn, Wichai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780471/
https://www.ncbi.nlm.nih.gov/pubmed/36569139
http://dx.doi.org/10.3389/fmed.2022.1060990
_version_ 1784856846312407040
author Morkphrom, Ekkaphop
Srinonprasert, Varalak
Sura-amonrattana, Unchana
Siriussawakul, Arunotai
Sainimnuan, Supawadee
Preedachitkun, Rinrada
Aekplakorn, Wichai
author_facet Morkphrom, Ekkaphop
Srinonprasert, Varalak
Sura-amonrattana, Unchana
Siriussawakul, Arunotai
Sainimnuan, Supawadee
Preedachitkun, Rinrada
Aekplakorn, Wichai
author_sort Morkphrom, Ekkaphop
collection PubMed
description BACKGROUND: Frailty has been increasingly recognized as a public health problem for aging populations with significant social impact, particularly in low- and middle-income countries. We aimed to develop a modified version of the Thai Frailty Index (TFI) and explore the association between different frailty statuses, socioeconomic factors, and mortality in community-dwelling older people from a middle-income country. METHODS: The data from participants aged ≥60 years in the Fourth Thai National Health Examination Survey were used to construct the 30-item TFI. Cutoff points were created based on stratum-specific likelihood ratio. TFI ≤ 0.10 was categorized as fit, 0.10–0.25 as pre-frail, 0.25–0.45 as mildly frail, and >0.45 as severely frail. The association of frailty status with mortality was examined using Cox proportional hazard models. FINDINGS: Among 8,195 older adults with a mean age of 69.2 years, 1,284 died during the 7-year follow-up. The prevalence of frailty was 16.6%. The adjusted hazard ratio (aHR) for mortality in pre-frail was 1.76 (95% CI = 1.50–2.07), mildly frail 2.79 (95% CI = 2.33–3.35), and severely frail 6.34 (95% CI = 4.60–8.73). Having a caretaker in the same household alleviated mortality risk for severely frail participants with an aHR of 2.93 (95% CI = 1.92–4.46) compared with an aHR of 6.89 (95% CI = 3.87–12.26) among those living without a caretaker. INTERPRETATION: The severity of frailty classified by the modified TFI can predict long-term mortality risk for community-dwelling older adults. Identification of severely frail older people to provide appropriate care might alleviate mortality risk. Our findings can inform policymakers to appropriately allocate services in a resource-limited setting.
format Online
Article
Text
id pubmed-9780471
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97804712022-12-24 Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country Morkphrom, Ekkaphop Srinonprasert, Varalak Sura-amonrattana, Unchana Siriussawakul, Arunotai Sainimnuan, Supawadee Preedachitkun, Rinrada Aekplakorn, Wichai Front Med (Lausanne) Medicine BACKGROUND: Frailty has been increasingly recognized as a public health problem for aging populations with significant social impact, particularly in low- and middle-income countries. We aimed to develop a modified version of the Thai Frailty Index (TFI) and explore the association between different frailty statuses, socioeconomic factors, and mortality in community-dwelling older people from a middle-income country. METHODS: The data from participants aged ≥60 years in the Fourth Thai National Health Examination Survey were used to construct the 30-item TFI. Cutoff points were created based on stratum-specific likelihood ratio. TFI ≤ 0.10 was categorized as fit, 0.10–0.25 as pre-frail, 0.25–0.45 as mildly frail, and >0.45 as severely frail. The association of frailty status with mortality was examined using Cox proportional hazard models. FINDINGS: Among 8,195 older adults with a mean age of 69.2 years, 1,284 died during the 7-year follow-up. The prevalence of frailty was 16.6%. The adjusted hazard ratio (aHR) for mortality in pre-frail was 1.76 (95% CI = 1.50–2.07), mildly frail 2.79 (95% CI = 2.33–3.35), and severely frail 6.34 (95% CI = 4.60–8.73). Having a caretaker in the same household alleviated mortality risk for severely frail participants with an aHR of 2.93 (95% CI = 1.92–4.46) compared with an aHR of 6.89 (95% CI = 3.87–12.26) among those living without a caretaker. INTERPRETATION: The severity of frailty classified by the modified TFI can predict long-term mortality risk for community-dwelling older adults. Identification of severely frail older people to provide appropriate care might alleviate mortality risk. Our findings can inform policymakers to appropriately allocate services in a resource-limited setting. Frontiers Media S.A. 2022-12-09 /pmc/articles/PMC9780471/ /pubmed/36569139 http://dx.doi.org/10.3389/fmed.2022.1060990 Text en Copyright © 2022 Morkphrom, Srinonprasert, Sura-amonrattana, Siriussawakul, Sainimnuan, Preedachitkun and Aekplakorn. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Morkphrom, Ekkaphop
Srinonprasert, Varalak
Sura-amonrattana, Unchana
Siriussawakul, Arunotai
Sainimnuan, Supawadee
Preedachitkun, Rinrada
Aekplakorn, Wichai
Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country
title Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country
title_full Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country
title_fullStr Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country
title_full_unstemmed Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country
title_short Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country
title_sort severity of frailty using modified thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780471/
https://www.ncbi.nlm.nih.gov/pubmed/36569139
http://dx.doi.org/10.3389/fmed.2022.1060990
work_keys_str_mv AT morkphromekkaphop severityoffrailtyusingmodifiedthaifrailtyindexsocialfactorsandpredictionofmortalityamongcommunitydwellingolderadultsinamiddleincomecountry
AT srinonprasertvaralak severityoffrailtyusingmodifiedthaifrailtyindexsocialfactorsandpredictionofmortalityamongcommunitydwellingolderadultsinamiddleincomecountry
AT suraamonrattanaunchana severityoffrailtyusingmodifiedthaifrailtyindexsocialfactorsandpredictionofmortalityamongcommunitydwellingolderadultsinamiddleincomecountry
AT siriussawakularunotai severityoffrailtyusingmodifiedthaifrailtyindexsocialfactorsandpredictionofmortalityamongcommunitydwellingolderadultsinamiddleincomecountry
AT sainimnuansupawadee severityoffrailtyusingmodifiedthaifrailtyindexsocialfactorsandpredictionofmortalityamongcommunitydwellingolderadultsinamiddleincomecountry
AT preedachitkunrinrada severityoffrailtyusingmodifiedthaifrailtyindexsocialfactorsandpredictionofmortalityamongcommunitydwellingolderadultsinamiddleincomecountry
AT aekplakornwichai severityoffrailtyusingmodifiedthaifrailtyindexsocialfactorsandpredictionofmortalityamongcommunitydwellingolderadultsinamiddleincomecountry