Linked Life Data

21425277

Source:http://linkedlifedata.com/resource/pubmed/id/21425277

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2011-5-3
pubmed:abstractText
Behavioral cues are believed to be useful to identify pain among elders who may be experiencing pain but unable to express it. To examine this assumption, we recruited 192 elders who could verbally express pain to determine whether regression models combining behavioral cues (motor and gait patterns) predicted verbal pain reports. In the best model, age (p?<?.01) and subscales that measured guarding (p?<?.001) and joint flexion (p?<?.01) motor patterns were significant predictors of verbal pain reports. The receiver operating characteristic curve indicated that the best cutoff for predictive probability was 40-44%, with a fair to good C statistic of .78 (SD?=?.04). With a 40% cutoff, sensitivity and specificity were 71.6% and 71.0%, respectively. The investigators concluded that the final model could serve as a building block for the development of a tool using behavioral cues to identify elders' pain.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1098-240X
pubmed:author
pubmed:copyrightInfo
Copyright © 2011 Wiley Periodicals, Inc.
pubmed:issnType
Electronic
pubmed:volume
34
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
218-27
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Non-verbal cues to osteoarthritic knee and/or hip pain in elders.
pubmed:affiliation
Alice An-Loh Sun Endowed Professorship in Geriatric Nursing, College of Nursing, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA. tsaipaofeng@uams.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural