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The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics

OBJECTIVES: To identify the prevalence of, and factors associated with, cognitive frailty and prefrailty, and to investigate correlation between frailty tools. METHODS: One hundred and ninety five older adults were recruited from the medical outpatient clinics of 3 tertiary hospitals in Bangkok metr...

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Autores principales: Wongtrakulruang, Panuwat, Muangpaisan, Weerasak, Panpradup, Bubpha, Tawatwattananun, Aree, Siribamrungwong, Monchai, Tomongkon, Sasinapha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: HYLONOME PUBLICATIONS 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461353/
https://www.ncbi.nlm.nih.gov/pubmed/32885103
http://dx.doi.org/10.22540/JFSF-05-062
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author Wongtrakulruang, Panuwat
Muangpaisan, Weerasak
Panpradup, Bubpha
Tawatwattananun, Aree
Siribamrungwong, Monchai
Tomongkon, Sasinapha
author_facet Wongtrakulruang, Panuwat
Muangpaisan, Weerasak
Panpradup, Bubpha
Tawatwattananun, Aree
Siribamrungwong, Monchai
Tomongkon, Sasinapha
author_sort Wongtrakulruang, Panuwat
collection PubMed
description OBJECTIVES: To identify the prevalence of, and factors associated with, cognitive frailty and prefrailty, and to investigate correlation between frailty tools. METHODS: One hundred and ninety five older adults were recruited from the medical outpatient clinics of 3 tertiary hospitals in Bangkok metropolitan region. The data collected were demographic information, lifestyle factors, functional status, mood assessment, and cognitive and frailty assessments. The frailty tools used were Frailty Phenotype and FRAIL scale. RESULTS: The prevalence of pre-frailty, frailty, mild cognitive impairment (MCI), cognitive pre-frailty and cognitive frailty was 57.4%, 15.9%, 26.2%, 14.4% and 6.7%, respectively. A multivariate analysis showed that age ≥70 years (OR 5.34; 95% CI 2.06-12.63), and education at primary school or under (OR 4.18; 95% CI 1.61-10.82) were associated with cognitive frailty and cognitive pre-frailty. The correlation between physical frailty rated by the Modified Fried Frailty Phenotype and the FRAIL scale was good (Kappa coefficient = 0.741). CONCLUSIONS: The prevalence of cognitive frailty is not uncommon which requires screening and interventions. Age and a low educational level were related to cognitive frailty/prefrailty. The FRAIL scale yielded a high correlation with Frailty phenotypes, implying its benefit in routine clinical use in primary care practice, where there is limited time and resources.
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spelling pubmed-74613532020-09-02 The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics Wongtrakulruang, Panuwat Muangpaisan, Weerasak Panpradup, Bubpha Tawatwattananun, Aree Siribamrungwong, Monchai Tomongkon, Sasinapha J Frailty Sarcopenia Falls Original Article OBJECTIVES: To identify the prevalence of, and factors associated with, cognitive frailty and prefrailty, and to investigate correlation between frailty tools. METHODS: One hundred and ninety five older adults were recruited from the medical outpatient clinics of 3 tertiary hospitals in Bangkok metropolitan region. The data collected were demographic information, lifestyle factors, functional status, mood assessment, and cognitive and frailty assessments. The frailty tools used were Frailty Phenotype and FRAIL scale. RESULTS: The prevalence of pre-frailty, frailty, mild cognitive impairment (MCI), cognitive pre-frailty and cognitive frailty was 57.4%, 15.9%, 26.2%, 14.4% and 6.7%, respectively. A multivariate analysis showed that age ≥70 years (OR 5.34; 95% CI 2.06-12.63), and education at primary school or under (OR 4.18; 95% CI 1.61-10.82) were associated with cognitive frailty and cognitive pre-frailty. The correlation between physical frailty rated by the Modified Fried Frailty Phenotype and the FRAIL scale was good (Kappa coefficient = 0.741). CONCLUSIONS: The prevalence of cognitive frailty is not uncommon which requires screening and interventions. Age and a low educational level were related to cognitive frailty/prefrailty. The FRAIL scale yielded a high correlation with Frailty phenotypes, implying its benefit in routine clinical use in primary care practice, where there is limited time and resources. HYLONOME PUBLICATIONS 2020-09-01 /pmc/articles/PMC7461353/ /pubmed/32885103 http://dx.doi.org/10.22540/JFSF-05-062 Text en Copyright: © 2020 Hylonome Publications http://creativecommons.org/licenses/by-nc-sa/4.0 All published work is licensed under Creative Commons Attribution NonCommercial - ShareAlike 4.0 International
spellingShingle Original Article
Wongtrakulruang, Panuwat
Muangpaisan, Weerasak
Panpradup, Bubpha
Tawatwattananun, Aree
Siribamrungwong, Monchai
Tomongkon, Sasinapha
The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics
title The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics
title_full The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics
title_fullStr The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics
title_full_unstemmed The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics
title_short The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics
title_sort prevalence of cognitive frailty and pre-frailty among older people in bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7461353/
https://www.ncbi.nlm.nih.gov/pubmed/32885103
http://dx.doi.org/10.22540/JFSF-05-062
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