Prevalence of Frailty and Associated Factors in the Community‐Dwelling Population of China

Background/Objectives Frailty in older adults predicts dependence and mortality and is a major challenge for healthcare systems in countries with rapidly aging populations. Little is known about frailty in China. We investigated the prevalence and associated risk factors of frailty in older adults i...

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Veröffentlicht in:Journal of the American Geriatrics Society (JAGS) 2018-03, Vol.66 (3), p.559-564
Hauptverfasser: Ma, Lina, Tang, Zhe, Zhang, Li, Sun, Fei, Li, Yun, Chan, Piu
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creator Ma, Lina
Tang, Zhe
Zhang, Li
Sun, Fei
Li, Yun
Chan, Piu
description Background/Objectives Frailty in older adults predicts dependence and mortality and is a major challenge for healthcare systems in countries with rapidly aging populations. Little is known about frailty in China. We investigated the prevalence and associated risk factors of frailty in older adults in China. Design Cross‐sectional. Setting Data were obtained from the China Comprehensive Geriatric Assessment Study, conducted in 2011–12, which was the first uniform comprehensive assessment system adopted in China. Participants Older adults from 7 cities were selected based on well‐established cluster, stratification, and random selection statistical sampling techniques (N = 5,844). Measurements The Comprehensive Geriatric Assessment‐Frailty Index was measured based on demographic characteristics, physical health, physical function, living behavior and social function, mental health, and cognitive function. Results The overall weighted prevalence of frailty was 9.9%: 12.7% in southwestern China, 11.0% in northern China, 5.9% in northwestern China, 5.0% in south‐central China, 2.5% in eastern China, and 2.3% in northeastern China. The prevalence of frailty increased with age and was significantly higher in women and those living in rural areas. After adjusting for sex, age, area, region, and education, activity of daily living impairment was the strongest risk factor for frailty. Chronic diseases, depression, poor lifestyle, and geriatric syndromes were also independent risk factors. Conclusion Our study provides epidemiological characteristics and the risk factors of frailty in China; the findings indicate greater regional disparities. Efforts to promote physical, psychological, and social health in older adults are a core objective of health policy, especially in women and those living in rural areas.
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Little is known about frailty in China. We investigated the prevalence and associated risk factors of frailty in older adults in China. Design Cross‐sectional. Setting Data were obtained from the China Comprehensive Geriatric Assessment Study, conducted in 2011–12, which was the first uniform comprehensive assessment system adopted in China. Participants Older adults from 7 cities were selected based on well‐established cluster, stratification, and random selection statistical sampling techniques (N = 5,844). Measurements The Comprehensive Geriatric Assessment‐Frailty Index was measured based on demographic characteristics, physical health, physical function, living behavior and social function, mental health, and cognitive function. Results The overall weighted prevalence of frailty was 9.9%: 12.7% in southwestern China, 11.0% in northern China, 5.9% in northwestern China, 5.0% in south‐central China, 2.5% in eastern China, and 2.3% in northeastern China. The prevalence of frailty increased with age and was significantly higher in women and those living in rural areas. After adjusting for sex, age, area, region, and education, activity of daily living impairment was the strongest risk factor for frailty. Chronic diseases, depression, poor lifestyle, and geriatric syndromes were also independent risk factors. Conclusion Our study provides epidemiological characteristics and the risk factors of frailty in China; the findings indicate greater regional disparities. Efforts to promote physical, psychological, and social health in older adults are a core objective of health policy, especially in women and those living in rural areas.</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/jgs.15214</identifier><identifier>PMID: 29168883</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject><![CDATA[Aged ; Aged, 80 and over ; Aging ; China - epidemiology ; Chronic Disease - epidemiology ; Cognitive ability ; Cross-Sectional Studies ; Disabled Persons - statistics & numerical data ; Epidemiology ; Female ; Frail Elderly - statistics & numerical data ; Frailty ; Frailty - epidemiology ; geriatric assessment ; Geriatric Assessment - statistics & numerical data ; Geriatrics ; Health Status ; Humans ; Independent Living - statistics & numerical data ; Male ; Mental disorders ; Mental Health - statistics & numerical data ; Older people ; Prevalence ; Retirement - statistics & numerical data ; Risk factors ; Sex Distribution ; Social behavior ; Statistical analysis ; Statistical sampling]]></subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2018-03, Vol.66 (3), p.559-564</ispartof><rights>2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society</rights><rights>2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.</rights><rights>2018 American Geriatrics Society and Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4194-aebad09414765567c4f118e740c940f263c969d0aa7ae7e8468cba15c83544333</citedby><cites>FETCH-LOGICAL-c4194-aebad09414765567c4f118e740c940f263c969d0aa7ae7e8468cba15c83544333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjgs.15214$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjgs.15214$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29168883$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ma, Lina</creatorcontrib><creatorcontrib>Tang, Zhe</creatorcontrib><creatorcontrib>Zhang, Li</creatorcontrib><creatorcontrib>Sun, Fei</creatorcontrib><creatorcontrib>Li, Yun</creatorcontrib><creatorcontrib>Chan, Piu</creatorcontrib><title>Prevalence of Frailty and Associated Factors in the Community‐Dwelling Population of China</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J Am Geriatr Soc</addtitle><description>Background/Objectives Frailty in older adults predicts dependence and mortality and is a major challenge for healthcare systems in countries with rapidly aging populations. Little is known about frailty in China. We investigated the prevalence and associated risk factors of frailty in older adults in China. Design Cross‐sectional. Setting Data were obtained from the China Comprehensive Geriatric Assessment Study, conducted in 2011–12, which was the first uniform comprehensive assessment system adopted in China. Participants Older adults from 7 cities were selected based on well‐established cluster, stratification, and random selection statistical sampling techniques (N = 5,844). Measurements The Comprehensive Geriatric Assessment‐Frailty Index was measured based on demographic characteristics, physical health, physical function, living behavior and social function, mental health, and cognitive function. Results The overall weighted prevalence of frailty was 9.9%: 12.7% in southwestern China, 11.0% in northern China, 5.9% in northwestern China, 5.0% in south‐central China, 2.5% in eastern China, and 2.3% in northeastern China. The prevalence of frailty increased with age and was significantly higher in women and those living in rural areas. After adjusting for sex, age, area, region, and education, activity of daily living impairment was the strongest risk factor for frailty. Chronic diseases, depression, poor lifestyle, and geriatric syndromes were also independent risk factors. Conclusion Our study provides epidemiological characteristics and the risk factors of frailty in China; the findings indicate greater regional disparities. 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Little is known about frailty in China. We investigated the prevalence and associated risk factors of frailty in older adults in China. Design Cross‐sectional. Setting Data were obtained from the China Comprehensive Geriatric Assessment Study, conducted in 2011–12, which was the first uniform comprehensive assessment system adopted in China. Participants Older adults from 7 cities were selected based on well‐established cluster, stratification, and random selection statistical sampling techniques (N = 5,844). Measurements The Comprehensive Geriatric Assessment‐Frailty Index was measured based on demographic characteristics, physical health, physical function, living behavior and social function, mental health, and cognitive function. Results The overall weighted prevalence of frailty was 9.9%: 12.7% in southwestern China, 11.0% in northern China, 5.9% in northwestern China, 5.0% in south‐central China, 2.5% in eastern China, and 2.3% in northeastern China. 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subjects Aged
Aged, 80 and over
Aging
China - epidemiology
Chronic Disease - epidemiology
Cognitive ability
Cross-Sectional Studies
Disabled Persons - statistics & numerical data
Epidemiology
Female
Frail Elderly - statistics & numerical data
Frailty
Frailty - epidemiology
geriatric assessment
Geriatric Assessment - statistics & numerical data
Geriatrics
Health Status
Humans
Independent Living - statistics & numerical data
Male
Mental disorders
Mental Health - statistics & numerical data
Older people
Prevalence
Retirement - statistics & numerical data
Risk factors
Sex Distribution
Social behavior
Statistical analysis
Statistical sampling
title Prevalence of Frailty and Associated Factors in the Community‐Dwelling Population of China
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