Linked Life Data

1624692

Source:http://linkedlifedata.com/resource/pubmed/id/1624692

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1992-8-7
pubmed:abstractText
To learn about the value of self-report and performance-based measures of function in predicting mortality and institutionalization, we conducted a longitudinal study of 149 elderly persons at four sites (a senior citizens housing unit, two ambulatory-based geriatrics practices, and a board-and-care facility). At baseline, all subjects were administered a questionnaire containing Katz, Spector, and Rosow-Breslau scale items as well as the Mini-Mental State Exam and two performance-based measures, the Tinetti gait score and Physical Performance Test. At follow-up (average 22 months; range 17-29 months), 17 subjects (11%) had died and seven (5%) had been institutionalized. Univariate analysis demonstrated significant associations between death and all functional status measures. In logistic regression models, Katz items, Tinetti gait score, and the seven-item Physical Performance Test were independent predictors of "death or nursing home placement"; Katz items and the seven-item Physical Performance Test were independent predictors of mortality. These findings support the use of performance-based as well as self-report measures for clinical and research purposes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0022-1422
pubmed:author
pubmed:issnType
Print
pubmed:volume
47
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
M106-10
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1992
pubmed:articleTitle
The predictive validity of self-report and performance-based measures of function and health.
pubmed:affiliation
Multicampus Division of Geriatric Medicine and Gerontology, UCLA School of Medicine.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't