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 |
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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. |
doi_str_mv | 10.1111/jgs.15214 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1967860653</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2013154788</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4194-aebad09414765567c4f118e740c940f263c969d0aa7ae7e8468cba15c83544333</originalsourceid><addsrcrecordid>eNp1kM1KxDAURoMoOo4ufAEJuNFFNbdN0nQpo-MPgoK6E0ImTTVDm4xJq8zOR_AZfRI7jroQvJu7ORw-DkI7QA6hv6PpYzwElgJdQQNgWZowCmwVDQghaSI40A20GeOUEEiJEOtoIy2ACyGyAXq4CeZF1cZpg32Fx0HZup1j5Up8HKPXVrWmxGOlWx8itg63TwaPfNN0zrbzj7f3k1dT19Y94hs_62rVWu8WotGTdWoLrVWqjmb7-w_R_fj0bnSeXF2fXYyOrxJNoaCJMhNVkoICzTljPNe0AhAmp0QXlFQpz3TBi5IolSuTG0G50BMFTIuMUZpl2RDtL72z4J87E1vZ2Kj7XcoZ30UJBc8FJ5wt0L0_6NR3wfXrZEogA0bzvssQHSwpHXyMwVRyFmyjwlwCkYvksk8uv5L37O63sZs0pvwlfxr3wNESeLW1mf9vkpdnt0vlJ1aIiiQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2013154788</pqid></control><display><type>article</type><title>Prevalence of Frailty and Associated Factors in the Community‐Dwelling Population of China</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Ma, Lina ; Tang, Zhe ; Zhang, Li ; Sun, Fei ; Li, Yun ; Chan, Piu</creator><creatorcontrib>Ma, Lina ; Tang, Zhe ; Zhang, Li ; Sun, Fei ; Li, Yun ; Chan, Piu</creatorcontrib><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.</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. 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><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>China - epidemiology</subject><subject>Chronic Disease - epidemiology</subject><subject>Cognitive ability</subject><subject>Cross-Sectional Studies</subject><subject>Disabled Persons - statistics & numerical data</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Frail Elderly - statistics & numerical data</subject><subject>Frailty</subject><subject>Frailty - epidemiology</subject><subject>geriatric assessment</subject><subject>Geriatric Assessment - statistics & numerical data</subject><subject>Geriatrics</subject><subject>Health Status</subject><subject>Humans</subject><subject>Independent Living - statistics & numerical data</subject><subject>Male</subject><subject>Mental disorders</subject><subject>Mental Health - statistics & numerical data</subject><subject>Older people</subject><subject>Prevalence</subject><subject>Retirement - statistics & numerical data</subject><subject>Risk factors</subject><subject>Sex Distribution</subject><subject>Social behavior</subject><subject>Statistical analysis</subject><subject>Statistical sampling</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kM1KxDAURoMoOo4ufAEJuNFFNbdN0nQpo-MPgoK6E0ImTTVDm4xJq8zOR_AZfRI7jroQvJu7ORw-DkI7QA6hv6PpYzwElgJdQQNgWZowCmwVDQghaSI40A20GeOUEEiJEOtoIy2ACyGyAXq4CeZF1cZpg32Fx0HZup1j5Up8HKPXVrWmxGOlWx8itg63TwaPfNN0zrbzj7f3k1dT19Y94hs_62rVWu8WotGTdWoLrVWqjmb7-w_R_fj0bnSeXF2fXYyOrxJNoaCJMhNVkoICzTljPNe0AhAmp0QXlFQpz3TBi5IolSuTG0G50BMFTIuMUZpl2RDtL72z4J87E1vZ2Kj7XcoZ30UJBc8FJ5wt0L0_6NR3wfXrZEogA0bzvssQHSwpHXyMwVRyFmyjwlwCkYvksk8uv5L37O63sZs0pvwlfxr3wNESeLW1mf9vkpdnt0vlJ1aIiiQ</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>Ma, Lina</creator><creator>Tang, Zhe</creator><creator>Zhang, Li</creator><creator>Sun, Fei</creator><creator>Li, Yun</creator><creator>Chan, Piu</creator><general>Wiley Subscription Services, Inc</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>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201803</creationdate><title>Prevalence of Frailty and Associated Factors in the Community‐Dwelling Population of China</title><author>Ma, Lina ; Tang, Zhe ; Zhang, Li ; Sun, Fei ; Li, Yun ; Chan, Piu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4194-aebad09414765567c4f118e740c940f263c969d0aa7ae7e8468cba15c83544333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>China - epidemiology</topic><topic>Chronic Disease - epidemiology</topic><topic>Cognitive ability</topic><topic>Cross-Sectional Studies</topic><topic>Disabled Persons - statistics & numerical data</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Frail Elderly - statistics & numerical data</topic><topic>Frailty</topic><topic>Frailty - epidemiology</topic><topic>geriatric assessment</topic><topic>Geriatric Assessment - statistics & numerical data</topic><topic>Geriatrics</topic><topic>Health Status</topic><topic>Humans</topic><topic>Independent Living - statistics & numerical data</topic><topic>Male</topic><topic>Mental disorders</topic><topic>Mental Health - statistics & numerical data</topic><topic>Older people</topic><topic>Prevalence</topic><topic>Retirement - statistics & numerical data</topic><topic>Risk factors</topic><topic>Sex Distribution</topic><topic>Social behavior</topic><topic>Statistical analysis</topic><topic>Statistical sampling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Lina</creatorcontrib><creatorcontrib>Tang, Zhe</creatorcontrib><creatorcontrib>Zhang, Li</creatorcontrib><creatorcontrib>Sun, Fei</creatorcontrib><creatorcontrib>Li, Yun</creatorcontrib><creatorcontrib>Chan, Piu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Lina</au><au>Tang, Zhe</au><au>Zhang, Li</au><au>Sun, Fei</au><au>Li, Yun</au><au>Chan, Piu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of Frailty and Associated Factors in the Community‐Dwelling Population of China</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><addtitle>J Am Geriatr Soc</addtitle><date>2018-03</date><risdate>2018</risdate><volume>66</volume><issue>3</issue><spage>559</spage><epage>564</epage><pages>559-564</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><abstract>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.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>29168883</pmid><doi>10.1111/jgs.15214</doi><tpages>6</tpages></addata></record> |
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language | eng |
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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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