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Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population

In order to explore frailty subtypes and find their associated risk factors, we conducted cross-sectional surveys of 5,341 seniors aged 60 and over in China using the Frailty Index (FI) scale. We identified four frailty subtypes, namely multi-frail, cognitive and functionally frail, psychologically...

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Autores principales: Zhang, Yan, Xu, Xiu-Juan, Lian, Ting-Yu, Huang, Ling-Feng, Zeng, Jin-Mei, Liang, Dong-Mei, Yin, Ming-Juan, Huang, Jing-Xiao, Xiu, Liang-Chang, Yu, Zu-Wei, Li, Yu-Lian, Mao, Chen, Ni, Jin-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053645/
https://www.ncbi.nlm.nih.gov/pubmed/31951595
http://dx.doi.org/10.18632/aging.102671
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author Zhang, Yan
Xu, Xiu-Juan
Lian, Ting-Yu
Huang, Ling-Feng
Zeng, Jin-Mei
Liang, Dong-Mei
Yin, Ming-Juan
Huang, Jing-Xiao
Xiu, Liang-Chang
Yu, Zu-Wei
Li, Yu-Lian
Mao, Chen
Ni, Jin-Dong
author_facet Zhang, Yan
Xu, Xiu-Juan
Lian, Ting-Yu
Huang, Ling-Feng
Zeng, Jin-Mei
Liang, Dong-Mei
Yin, Ming-Juan
Huang, Jing-Xiao
Xiu, Liang-Chang
Yu, Zu-Wei
Li, Yu-Lian
Mao, Chen
Ni, Jin-Dong
author_sort Zhang, Yan
collection PubMed
description In order to explore frailty subtypes and find their associated risk factors, we conducted cross-sectional surveys of 5,341 seniors aged 60 and over in China using the Frailty Index (FI) scale. We identified four frailty subtypes, namely multi-frail, cognitive and functionally frail, psychologically frail and physiologically frail. Old age and low education level were the common risk factors among the four subtypes. Being widowed, divorced or unmarried was a risk factor for multi-frail, cognitive and functionally frail and psychologically frail, and male sex was a protective factor against cognitive and functionally frail and psychologically frail subtypes. Having a harmonious relationship with family was a protective factor against multi-frail, and fewer visits to the elderly by their children was a risk factor for psychologically frail. Dissatisfaction with their housing was a risk factor for cognitive and functionally frail, psychologically frail and physiologically frail, and a pension being the main source of income was a risk factor for cognitive and functionally frail and psychologically frail. Exercising every day was a protective factor against multi-frail and cognitive and functionally frail, and a lower level of physical activity was a risk factor for all four frailty subtypes. Our findings confirm the heterogeneity of frailty and suggest that different frail elderly individuals need more targeted care interventions.
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spelling pubmed-70536452020-03-12 Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population Zhang, Yan Xu, Xiu-Juan Lian, Ting-Yu Huang, Ling-Feng Zeng, Jin-Mei Liang, Dong-Mei Yin, Ming-Juan Huang, Jing-Xiao Xiu, Liang-Chang Yu, Zu-Wei Li, Yu-Lian Mao, Chen Ni, Jin-Dong Aging (Albany NY) Research Paper In order to explore frailty subtypes and find their associated risk factors, we conducted cross-sectional surveys of 5,341 seniors aged 60 and over in China using the Frailty Index (FI) scale. We identified four frailty subtypes, namely multi-frail, cognitive and functionally frail, psychologically frail and physiologically frail. Old age and low education level were the common risk factors among the four subtypes. Being widowed, divorced or unmarried was a risk factor for multi-frail, cognitive and functionally frail and psychologically frail, and male sex was a protective factor against cognitive and functionally frail and psychologically frail subtypes. Having a harmonious relationship with family was a protective factor against multi-frail, and fewer visits to the elderly by their children was a risk factor for psychologically frail. Dissatisfaction with their housing was a risk factor for cognitive and functionally frail, psychologically frail and physiologically frail, and a pension being the main source of income was a risk factor for cognitive and functionally frail and psychologically frail. Exercising every day was a protective factor against multi-frail and cognitive and functionally frail, and a lower level of physical activity was a risk factor for all four frailty subtypes. Our findings confirm the heterogeneity of frailty and suggest that different frail elderly individuals need more targeted care interventions. Impact Journals 2020-01-16 /pmc/articles/PMC7053645/ /pubmed/31951595 http://dx.doi.org/10.18632/aging.102671 Text en Copyright © 2020 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Zhang, Yan
Xu, Xiu-Juan
Lian, Ting-Yu
Huang, Ling-Feng
Zeng, Jin-Mei
Liang, Dong-Mei
Yin, Ming-Juan
Huang, Jing-Xiao
Xiu, Liang-Chang
Yu, Zu-Wei
Li, Yu-Lian
Mao, Chen
Ni, Jin-Dong
Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population
title Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population
title_full Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population
title_fullStr Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population
title_full_unstemmed Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population
title_short Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population
title_sort development of frailty subtypes and their associated risk factors among the community-dwelling elderly population
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053645/
https://www.ncbi.nlm.nih.gov/pubmed/31951595
http://dx.doi.org/10.18632/aging.102671
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