History and mobility exam index to identify community-dwelling elderly persons at risk of falling

Falls are common in community-dwelling elderly persons and are a frequent source of morbidity. Simple indices to prospectively stratify people into categories at different fall-risk would be useful to health care practitioners. Our goal was to develop a fall-risk index that discriminated between peo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The journals of gerontology. Series A, Biological sciences and medical sciences Biological sciences and medical sciences, 2001-04, Vol.56 (4), p.M253-M259
Hauptverfasser: Covinsky, K E, Kahana, E, Kahana, B, Kercher, K, Schumacher, J G, Justice, A C
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page M259
container_issue 4
container_start_page M253
container_title The journals of gerontology. Series A, Biological sciences and medical sciences
container_volume 56
creator Covinsky, K E
Kahana, E
Kahana, B
Kercher, K
Schumacher, J G
Justice, A C
description Falls are common in community-dwelling elderly persons and are a frequent source of morbidity. Simple indices to prospectively stratify people into categories at different fall-risk would be useful to health care practitioners. Our goal was to develop a fall-risk index that discriminated between people at high and low risk of falling. We evaluated the risk of falling over a one-year period in 557 elderly persons (mean age 81.6) living in a retirement community. On the baseline interview, we asked subjects if they had fallen in the previous year and evaluated risk factors in six additional conceptual categories. On the follow-up interview one year later, we again asked subjects if they had fallen in the prior year. We evaluated risk factors in the different conceptual categories and used logistic regression to determine the independent predictors of falling over a one-year period. We used these independent predictors to create a fall-risk index. We compared the ability of a prior falls history with other risk factors and with the combination of a falls history and other risk factors to discriminate fallers from nonfallers. A fall in the previous year (OR = 2.42, 95% CI = 1.49-3.93), a symptom of either balance difficulty or dizziness (OR = 1.83, 95% CI = 1.16-2.89), or an abnormal mobility exam (OR = 2.64, 95% CI = 1.64-4.26) were independent predictors of falling over the subsequent year. These three risk factors together (c statistic =.71) discriminated fallers from nonfallers better than previous history of falls alone (c statistic =.61) or the symptomatic and exam risk factors alone (c statistic =.68). When combined into a risk index, the three independent risk factors stratify people into groups whose risk for falling over the subsequent year ranges from 10% to 51%. A history of falling over the prior year, a risk factor that can be obtained from a clinical history (balance difficulty or dizziness), and a risk factor that can be obtained from a physical exam (mobility difficulty) stratify people into groups at low and high risk of falling over the subsequent year. This risk index may provide a simple method of assessing fall risk in community-dwelling elderly persons. However, it requires validation in other subjects before it can be recommended for widespread use.
doi_str_mv 10.1093/gerona/56.4.m253
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_77023754</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>71366873</sourcerecordid><originalsourceid>FETCH-LOGICAL-c430t-ba097d25ff39834eca7a95de4682b8e704c7458910df8f1622cc0301827db7cf3</originalsourceid><addsrcrecordid>eNpdkM1LHTEUxUNpqR_t3lUJXbib500ymWSWIq0KSjcV3IVMPiQ6k7wmM-j8942-B4J3c8_idw6Hg9AJgQ2Bnp09uJyiPuPdpt1MlLNP6JAILhvO-P3nqkH0DQfoDtBRKY_wepx-RQeEUMkowCHSV6HMKa9YR4unNIQxzCt2L3rCIVr3gueEg3VxDn7FJk3TEivQ2Gc3jiE-YDdal8cVb10uKRasZ5xDecLJY6_fkG_oS1XFfd__Y3T3-9ffi6vm5s_l9cX5TWNaBnMzaOiFpdx71kvWOqOF7rl1bSfpIJ2A1oiWy56A9dKTjlJjgAGRVNhBGM-O0ekud5vTv8WVWU2hmFpTR5eWooQAygRvK_jzA_iYlhxrN0VBdrSTEioEO8jkVEp2Xm1zmHReFQH1ur3aba94p1p1W7evlh_73GWYnH037Mdm_wFQKoIW</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>208626880</pqid></control><display><type>article</type><title>History and mobility exam index to identify community-dwelling elderly persons at risk of falling</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><creator>Covinsky, K E ; Kahana, E ; Kahana, B ; Kercher, K ; Schumacher, J G ; Justice, A C</creator><creatorcontrib>Covinsky, K E ; Kahana, E ; Kahana, B ; Kercher, K ; Schumacher, J G ; Justice, A C</creatorcontrib><description>Falls are common in community-dwelling elderly persons and are a frequent source of morbidity. Simple indices to prospectively stratify people into categories at different fall-risk would be useful to health care practitioners. Our goal was to develop a fall-risk index that discriminated between people at high and low risk of falling. We evaluated the risk of falling over a one-year period in 557 elderly persons (mean age 81.6) living in a retirement community. On the baseline interview, we asked subjects if they had fallen in the previous year and evaluated risk factors in six additional conceptual categories. On the follow-up interview one year later, we again asked subjects if they had fallen in the prior year. We evaluated risk factors in the different conceptual categories and used logistic regression to determine the independent predictors of falling over a one-year period. We used these independent predictors to create a fall-risk index. We compared the ability of a prior falls history with other risk factors and with the combination of a falls history and other risk factors to discriminate fallers from nonfallers. A fall in the previous year (OR = 2.42, 95% CI = 1.49-3.93), a symptom of either balance difficulty or dizziness (OR = 1.83, 95% CI = 1.16-2.89), or an abnormal mobility exam (OR = 2.64, 95% CI = 1.64-4.26) were independent predictors of falling over the subsequent year. These three risk factors together (c statistic =.71) discriminated fallers from nonfallers better than previous history of falls alone (c statistic =.61) or the symptomatic and exam risk factors alone (c statistic =.68). When combined into a risk index, the three independent risk factors stratify people into groups whose risk for falling over the subsequent year ranges from 10% to 51%. A history of falling over the prior year, a risk factor that can be obtained from a clinical history (balance difficulty or dizziness), and a risk factor that can be obtained from a physical exam (mobility difficulty) stratify people into groups at low and high risk of falling over the subsequent year. This risk index may provide a simple method of assessing fall risk in community-dwelling elderly persons. However, it requires validation in other subjects before it can be recommended for widespread use.</description><identifier>ISSN: 1079-5006</identifier><identifier>EISSN: 1758-535X</identifier><identifier>DOI: 10.1093/gerona/56.4.m253</identifier><identifier>PMID: 11283200</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Accidental Falls ; Aged ; Aged, 80 and over ; Aging - physiology ; Discriminant Analysis ; Falls ; Female ; Forecasting ; Humans ; Male ; Medical Records ; Movement ; Older people ; Risk Factors</subject><ispartof>The journals of gerontology. Series A, Biological sciences and medical sciences, 2001-04, Vol.56 (4), p.M253-M259</ispartof><rights>Copyright Gerontological Society of America, Incorporated Apr 2001</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-ba097d25ff39834eca7a95de4682b8e704c7458910df8f1622cc0301827db7cf3</citedby><cites>FETCH-LOGICAL-c430t-ba097d25ff39834eca7a95de4682b8e704c7458910df8f1622cc0301827db7cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11283200$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Covinsky, K E</creatorcontrib><creatorcontrib>Kahana, E</creatorcontrib><creatorcontrib>Kahana, B</creatorcontrib><creatorcontrib>Kercher, K</creatorcontrib><creatorcontrib>Schumacher, J G</creatorcontrib><creatorcontrib>Justice, A C</creatorcontrib><title>History and mobility exam index to identify community-dwelling elderly persons at risk of falling</title><title>The journals of gerontology. Series A, Biological sciences and medical sciences</title><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><description>Falls are common in community-dwelling elderly persons and are a frequent source of morbidity. Simple indices to prospectively stratify people into categories at different fall-risk would be useful to health care practitioners. Our goal was to develop a fall-risk index that discriminated between people at high and low risk of falling. We evaluated the risk of falling over a one-year period in 557 elderly persons (mean age 81.6) living in a retirement community. On the baseline interview, we asked subjects if they had fallen in the previous year and evaluated risk factors in six additional conceptual categories. On the follow-up interview one year later, we again asked subjects if they had fallen in the prior year. We evaluated risk factors in the different conceptual categories and used logistic regression to determine the independent predictors of falling over a one-year period. We used these independent predictors to create a fall-risk index. We compared the ability of a prior falls history with other risk factors and with the combination of a falls history and other risk factors to discriminate fallers from nonfallers. A fall in the previous year (OR = 2.42, 95% CI = 1.49-3.93), a symptom of either balance difficulty or dizziness (OR = 1.83, 95% CI = 1.16-2.89), or an abnormal mobility exam (OR = 2.64, 95% CI = 1.64-4.26) were independent predictors of falling over the subsequent year. These three risk factors together (c statistic =.71) discriminated fallers from nonfallers better than previous history of falls alone (c statistic =.61) or the symptomatic and exam risk factors alone (c statistic =.68). When combined into a risk index, the three independent risk factors stratify people into groups whose risk for falling over the subsequent year ranges from 10% to 51%. A history of falling over the prior year, a risk factor that can be obtained from a clinical history (balance difficulty or dizziness), and a risk factor that can be obtained from a physical exam (mobility difficulty) stratify people into groups at low and high risk of falling over the subsequent year. This risk index may provide a simple method of assessing fall risk in community-dwelling elderly persons. However, it requires validation in other subjects before it can be recommended for widespread use.</description><subject>Accidental Falls</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging - physiology</subject><subject>Discriminant Analysis</subject><subject>Falls</subject><subject>Female</subject><subject>Forecasting</subject><subject>Humans</subject><subject>Male</subject><subject>Medical Records</subject><subject>Movement</subject><subject>Older people</subject><subject>Risk Factors</subject><issn>1079-5006</issn><issn>1758-535X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkM1LHTEUxUNpqR_t3lUJXbib500ymWSWIq0KSjcV3IVMPiQ6k7wmM-j8942-B4J3c8_idw6Hg9AJgQ2Bnp09uJyiPuPdpt1MlLNP6JAILhvO-P3nqkH0DQfoDtBRKY_wepx-RQeEUMkowCHSV6HMKa9YR4unNIQxzCt2L3rCIVr3gueEg3VxDn7FJk3TEivQ2Gc3jiE-YDdal8cVb10uKRasZ5xDecLJY6_fkG_oS1XFfd__Y3T3-9ffi6vm5s_l9cX5TWNaBnMzaOiFpdx71kvWOqOF7rl1bSfpIJ2A1oiWy56A9dKTjlJjgAGRVNhBGM-O0ekud5vTv8WVWU2hmFpTR5eWooQAygRvK_jzA_iYlhxrN0VBdrSTEioEO8jkVEp2Xm1zmHReFQH1ur3aba94p1p1W7evlh_73GWYnH037Mdm_wFQKoIW</recordid><startdate>20010401</startdate><enddate>20010401</enddate><creator>Covinsky, K E</creator><creator>Kahana, E</creator><creator>Kahana, B</creator><creator>Kercher, K</creator><creator>Schumacher, J G</creator><creator>Justice, A C</creator><general>Oxford University Press</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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20010401</creationdate><title>History and mobility exam index to identify community-dwelling elderly persons at risk of falling</title><author>Covinsky, K E ; Kahana, E ; Kahana, B ; Kercher, K ; Schumacher, J G ; Justice, A C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-ba097d25ff39834eca7a95de4682b8e704c7458910df8f1622cc0301827db7cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Accidental Falls</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging - physiology</topic><topic>Discriminant Analysis</topic><topic>Falls</topic><topic>Female</topic><topic>Forecasting</topic><topic>Humans</topic><topic>Male</topic><topic>Medical Records</topic><topic>Movement</topic><topic>Older people</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Covinsky, K E</creatorcontrib><creatorcontrib>Kahana, E</creatorcontrib><creatorcontrib>Kahana, B</creatorcontrib><creatorcontrib>Kercher, K</creatorcontrib><creatorcontrib>Schumacher, J G</creatorcontrib><creatorcontrib>Justice, A C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Covinsky, K E</au><au>Kahana, E</au><au>Kahana, B</au><au>Kercher, K</au><au>Schumacher, J G</au><au>Justice, A C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>History and mobility exam index to identify community-dwelling elderly persons at risk of falling</atitle><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><date>2001-04-01</date><risdate>2001</risdate><volume>56</volume><issue>4</issue><spage>M253</spage><epage>M259</epage><pages>M253-M259</pages><issn>1079-5006</issn><eissn>1758-535X</eissn><abstract>Falls are common in community-dwelling elderly persons and are a frequent source of morbidity. Simple indices to prospectively stratify people into categories at different fall-risk would be useful to health care practitioners. Our goal was to develop a fall-risk index that discriminated between people at high and low risk of falling. We evaluated the risk of falling over a one-year period in 557 elderly persons (mean age 81.6) living in a retirement community. On the baseline interview, we asked subjects if they had fallen in the previous year and evaluated risk factors in six additional conceptual categories. On the follow-up interview one year later, we again asked subjects if they had fallen in the prior year. We evaluated risk factors in the different conceptual categories and used logistic regression to determine the independent predictors of falling over a one-year period. We used these independent predictors to create a fall-risk index. We compared the ability of a prior falls history with other risk factors and with the combination of a falls history and other risk factors to discriminate fallers from nonfallers. A fall in the previous year (OR = 2.42, 95% CI = 1.49-3.93), a symptom of either balance difficulty or dizziness (OR = 1.83, 95% CI = 1.16-2.89), or an abnormal mobility exam (OR = 2.64, 95% CI = 1.64-4.26) were independent predictors of falling over the subsequent year. These three risk factors together (c statistic =.71) discriminated fallers from nonfallers better than previous history of falls alone (c statistic =.61) or the symptomatic and exam risk factors alone (c statistic =.68). When combined into a risk index, the three independent risk factors stratify people into groups whose risk for falling over the subsequent year ranges from 10% to 51%. A history of falling over the prior year, a risk factor that can be obtained from a clinical history (balance difficulty or dizziness), and a risk factor that can be obtained from a physical exam (mobility difficulty) stratify people into groups at low and high risk of falling over the subsequent year. This risk index may provide a simple method of assessing fall risk in community-dwelling elderly persons. However, it requires validation in other subjects before it can be recommended for widespread use.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>11283200</pmid><doi>10.1093/gerona/56.4.m253</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1079-5006
ispartof The journals of gerontology. Series A, Biological sciences and medical sciences, 2001-04, Vol.56 (4), p.M253-M259
issn 1079-5006
1758-535X
language eng
recordid cdi_proquest_miscellaneous_77023754
source MEDLINE; Oxford University Press Journals All Titles (1996-Current)
subjects Accidental Falls
Aged
Aged, 80 and over
Aging - physiology
Discriminant Analysis
Falls
Female
Forecasting
Humans
Male
Medical Records
Movement
Older people
Risk Factors
title History and mobility exam index to identify community-dwelling elderly persons at risk of falling
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T00%3A09%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=History%20and%20mobility%20exam%20index%20to%20identify%20community-dwelling%20elderly%20persons%20at%20risk%20of%20falling&rft.jtitle=The%20journals%20of%20gerontology.%20Series%20A,%20Biological%20sciences%20and%20medical%20sciences&rft.au=Covinsky,%20K%20E&rft.date=2001-04-01&rft.volume=56&rft.issue=4&rft.spage=M253&rft.epage=M259&rft.pages=M253-M259&rft.issn=1079-5006&rft.eissn=1758-535X&rft_id=info:doi/10.1093/gerona/56.4.m253&rft_dat=%3Cproquest_cross%3E71366873%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=208626880&rft_id=info:pmid/11283200&rfr_iscdi=true