Linked Life Data

11470394

Source:http://linkedlifedata.com/resource/pubmed/id/11470394

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2001-7-25
pubmed:abstractText
This large prospective cohort study was undertaken to construct a fall-risk model for elderly. The emphasis of the study rests on easily measurable predictors for any falls and recurrent falls. The occurrence of falls among 1285 community-dwelling elderly aged 65 years and over was followed during 1 year by means of a "fall calendar." Physical, cognitive, emotional and social functioning preceding the registration of falls were studied as potential predictors of fall-risk. Previous falls, visual impairment, urinary incontinence and use of benzodiazepines were the strongest predictors identified in the risk profile model for any falls (area under the curve [AUC] = 0.65), whereas previous falls, visual impairment, urinary incontinence and functional limitations proved to be the strongest predictors in the model for recurrent falls (AUC = 0.71). The probability of recurrent falls for subsequent scores of the screening test ranged from 4.7% (95% Confidence Interval [CI]: 4.0-5.4%) to 46.8% (95% CI: 43.0-50.6%). Our study provides a fall-risk screening test based on four easily measurable predictors that can be used for fall-risk stratification in community-dwelling elderly.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0895-4356
pubmed:author
pubmed:issnType
Print
pubmed:volume
54
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
837-44
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Fall-risk screening test: a prospective study on predictors for falls in community-dwelling elderly.
pubmed:affiliation
Institute for Research in Extramural Medicine (EMGO Institute), Amsterdam, The Netherlands.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't