Linked Life Data

10670658

Source:http://linkedlifedata.com/resource/pubmed/id/10670658

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2000-3-2
pubmed:abstractText
The objective of this study was to compare the utility of ICIDH-based models and needs-based models for predicting subjective quality of life in individuals with traumatic brain injury (TBI). Using an existing data base of individuals with TBI living in the community, seven predictive models were tested using multiple regression analyses. In comparing adjusted R2 associated with each of seven models, it was concluded that needs-based models using subjective indicators clearly predict more variance in measures of life satisfaction, or subjective well-being, than do either type of model relying on objective measures. It is suggested that, in documenting 'outcomes' of rehabilitation, the degree to which the focal individual's important needs are met defines more directly his/her well-being than do measures of impairment, disability or handicap.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0269-9052
pubmed:author
pubmed:issnType
Print
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5-19
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Models for predicting subjective quality of life in individuals with traumatic brain injury.
pubmed:affiliation
Department of Community and Preventive Medicine Mount Sinai School of Medicine, New York, NY 10029, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.