Linked Life Data

2955993

Source:http://linkedlifedata.com/resource/pubmed/id/2955993

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
221
pubmed:dateCreated
1987-9-9
pubmed:abstractText
Low back pain has major socioeconomic implications; much of the costs relate to disability and compensation. Theoretically, the early identification of patients at risk to become disabled from a low back episode would lead to more aggressive intervention and reduction of subsequent disability. Low back disability is related to occupational, psychosocial, diagnostic, demographic, anthropometric, health behavior, and injury factors that have been reported in the literature. The multiattribute utility model is a new experimental approach to prediction of disability. The relative weights of the various factors that might be predictive of low back disability are determined by a panel of experts. Although this model is not yet scientifically proven, it offers a promising method of answering the question, "Can low back disability be predicted?"
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0009-921X
pubmed:author
pubmed:issnType
Print
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
89-98
pubmed:dateRevised
2005-3-3
pubmed:meshHeading
pubmed:year
1987
pubmed:articleTitle
Predictors of low back pain disability.
pubmed:publicationType
Journal Article