Linked Life Data

15541785

Source:http://linkedlifedata.com/resource/pubmed/id/15541785

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2004-11-15
pubmed:abstractText
This study aimed to identify symptom dimensions in obsessive-compulsive disorder (OCD) in order to reveal distinct clinical phenotypes. Factor analysis of the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) checklist on item level was performed on data from 335 outpatients with primary OCD. The relationship of demographic and clinical characteristics to the resulting factor scores was examined. A principal component analysis identified the following five consistent symptom dimensions: (1) contamination and cleaning, (2) aggressive, sexual and religious obsessions, (3) somatic obsessions and checking, (4) symmetry and counting/arranging compulsions and (5) high-risk assessment and checking. We observed significant differences in sex distribution, age of onset, Y-BOCS scores and familial prevalence of OCD in relation to the symptom dimensions. These findings provide further evidence for distinct clinical phenotypes in OCD.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0165-1781
pubmed:author
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
128
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
273-80
pubmed:dateRevised
2008-4-17
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Use of factor analysis to detect potential phenotypes in obsessive-compulsive disorder.
pubmed:affiliation
Department of Psychiatry, University Medical Center, HP B.01.206, PO Box 85500, GA Utrecht 3508, The Netherlands. D.A.J.P.denys@azu.nl
pubmed:publicationType
Journal Article