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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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Published in: | Aging (Albany, NY.) NY.), 2020-01, Vol.12 (2), p.1128-1140 |
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creator | 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 |
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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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.</description><identifier>ISSN: 1945-4589</identifier><identifier>EISSN: 1945-4589</identifier><identifier>DOI: 10.18632/aging.102671</identifier><identifier>PMID: 31951595</identifier><language>eng</language><publisher>United States: Impact Journals</publisher><subject>Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Female ; Frail Elderly ; Frailty ; Geriatric Assessment ; Health Status ; Humans ; Independent Living ; Male ; Middle Aged ; Odds Ratio ; Population Surveillance ; Research Paper ; Risk Factors</subject><ispartof>Aging (Albany, NY.), 2020-01, Vol.12 (2), p.1128-1140</ispartof><rights>Copyright © 2020 Zhang et al.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-3692e6cdaf3f5c3062622174ca1f13975c2fc4e2d1ccf334dac0ca43b9a776703</citedby><cites>FETCH-LOGICAL-c387t-3692e6cdaf3f5c3062622174ca1f13975c2fc4e2d1ccf334dac0ca43b9a776703</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053645/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053645/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31951595$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Yan</creatorcontrib><creatorcontrib>Xu, Xiu-Juan</creatorcontrib><creatorcontrib>Lian, Ting-Yu</creatorcontrib><creatorcontrib>Huang, Ling-Feng</creatorcontrib><creatorcontrib>Zeng, Jin-Mei</creatorcontrib><creatorcontrib>Liang, Dong-Mei</creatorcontrib><creatorcontrib>Yin, Ming-Juan</creatorcontrib><creatorcontrib>Huang, Jing-Xiao</creatorcontrib><creatorcontrib>Xiu, Liang-Chang</creatorcontrib><creatorcontrib>Yu, Zu-Wei</creatorcontrib><creatorcontrib>Li, Yu-Lian</creatorcontrib><creatorcontrib>Mao, Chen</creatorcontrib><creatorcontrib>Ni, Jin-Dong</creatorcontrib><title>Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population</title><title>Aging (Albany, NY.)</title><addtitle>Aging (Albany NY)</addtitle><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.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Frail Elderly</subject><subject>Frailty</subject><subject>Geriatric Assessment</subject><subject>Health Status</subject><subject>Humans</subject><subject>Independent Living</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Odds Ratio</subject><subject>Population Surveillance</subject><subject>Research Paper</subject><subject>Risk Factors</subject><issn>1945-4589</issn><issn>1945-4589</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpVkc1P3DAQxa2KqlDaY6_IRy4Bf3tzqVRBoUhIvbRna9axF4MTB9sB5b9v2F0QPc1I89N78_QQ-kbJGV0pzs5hE4bNGSVMafoBHdFWyEbIVXvwbj9En0u5J0RJKdQndMhpK6ls5RF6vHRPLqaxd0PFyWOfIcQ64zKt6zy6gmHocL1zIWMoJdkA1XU4h_KAPdia8kL0adi8MNimvp-GUOeme3YxLn9hFzuX44zHNE4RakjDF_TRQyzu634eo79XP_9c_Gpuf1_fXPy4bSxf6dpw1TKnbAeee2k5UUwxRrWwQD3lrZaWeSsc66i1nnPRgSUWBF-3oLXShB-j7zvdcVr3rrNLwAzRjDn0kGeTIJj_L0O4M5v0ZDSRXAm5CJzuBXJ6nFyppg_FLrlgcGkqhnFBFdWKvXg1O9TmVEp2_s2GErOtyWxrMruaFv7k_W9v9Gsv_B-1VJMW</recordid><startdate>20200116</startdate><enddate>20200116</enddate><creator>Zhang, Yan</creator><creator>Xu, Xiu-Juan</creator><creator>Lian, Ting-Yu</creator><creator>Huang, Ling-Feng</creator><creator>Zeng, Jin-Mei</creator><creator>Liang, Dong-Mei</creator><creator>Yin, Ming-Juan</creator><creator>Huang, Jing-Xiao</creator><creator>Xiu, Liang-Chang</creator><creator>Yu, Zu-Wei</creator><creator>Li, Yu-Lian</creator><creator>Mao, Chen</creator><creator>Ni, Jin-Dong</creator><general>Impact Journals</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200116</creationdate><title>Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-3692e6cdaf3f5c3062622174ca1f13975c2fc4e2d1ccf334dac0ca43b9a776703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Frail Elderly</topic><topic>Frailty</topic><topic>Geriatric Assessment</topic><topic>Health Status</topic><topic>Humans</topic><topic>Independent Living</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Odds Ratio</topic><topic>Population Surveillance</topic><topic>Research Paper</topic><topic>Risk Factors</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yan</creatorcontrib><creatorcontrib>Xu, Xiu-Juan</creatorcontrib><creatorcontrib>Lian, Ting-Yu</creatorcontrib><creatorcontrib>Huang, Ling-Feng</creatorcontrib><creatorcontrib>Zeng, Jin-Mei</creatorcontrib><creatorcontrib>Liang, Dong-Mei</creatorcontrib><creatorcontrib>Yin, Ming-Juan</creatorcontrib><creatorcontrib>Huang, Jing-Xiao</creatorcontrib><creatorcontrib>Xiu, Liang-Chang</creatorcontrib><creatorcontrib>Yu, Zu-Wei</creatorcontrib><creatorcontrib>Li, Yu-Lian</creatorcontrib><creatorcontrib>Mao, Chen</creatorcontrib><creatorcontrib>Ni, Jin-Dong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Aging (Albany, NY.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yan</au><au>Xu, Xiu-Juan</au><au>Lian, Ting-Yu</au><au>Huang, Ling-Feng</au><au>Zeng, Jin-Mei</au><au>Liang, Dong-Mei</au><au>Yin, Ming-Juan</au><au>Huang, Jing-Xiao</au><au>Xiu, Liang-Chang</au><au>Yu, Zu-Wei</au><au>Li, Yu-Lian</au><au>Mao, Chen</au><au>Ni, Jin-Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population</atitle><jtitle>Aging (Albany, NY.)</jtitle><addtitle>Aging (Albany NY)</addtitle><date>2020-01-16</date><risdate>2020</risdate><volume>12</volume><issue>2</issue><spage>1128</spage><epage>1140</epage><pages>1128-1140</pages><issn>1945-4589</issn><eissn>1945-4589</eissn><abstract>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.</abstract><cop>United States</cop><pub>Impact Journals</pub><pmid>31951595</pmid><doi>10.18632/aging.102671</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Cross-Sectional Studies Female Frail Elderly Frailty Geriatric Assessment Health Status Humans Independent Living Male Middle Aged Odds Ratio Population Surveillance Research Paper Risk Factors |
title | Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population |
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