15478153

Source:http://linkedlifedata.com/resource/pubmed/id/15478153

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0003862, umls-concept:C0018684, umls-concept:C0029408, umls-concept:C0242485, umls-concept:C0348000, umls-concept:C0441889, umls-concept:C0679823, umls-concept:C0686907, umls-concept:C2603343
pubmed:issue	5
pubmed:dateCreated	2004-10-18
pubmed:abstractText	To identify health measurement instruments to investigate levels of participation associated with joint pain in a population survey questionnaire.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0370605
pubmed:citationSubset	AIM
pubmed:status	MEDLINE
pubmed:month	Oct
pubmed:issn	0004-3591
pubmed:author	pubmed-author:CroftP RPR, pubmed-author:PeanMM, pubmed-author:ThomasEE, pubmed-author:WilkieRR
pubmed:issnType	Print
pubmed:day	15
pubmed:volume	51
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	755-62
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:15478153-Arthralgia, pubmed-meshheading:15478153-Health Status Indicators, pubmed-meshheading:15478153-Humans, pubmed-meshheading:15478153-Observer Variation, pubmed-meshheading:15478153-Osteoarthritis
pubmed:year	2004
pubmed:articleTitle	Measuring the consequences of osteoarthritis and joint pain in population-based studies: can existing health measurement instruments capture levels of participation?
pubmed:affiliation	Primary Care Sciences Research Centre, Keele University, UK. r.wilkie@keele.ac.uk
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't