Linked Life Data

12547307

Source:http://linkedlifedata.com/resource/pubmed/id/12547307

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2003-1-27
pubmed:abstractText
Insight is a complex phenomenon that can be interpreted according to a dimensional model. Given the controversial data of insight in obsessive-compulsive disorder (OCD), our study aimed to investigate insight in an Italian sample of patients with OCD by means of the specific item on the Yale-Brown obsessive-compulsive scale (Y-BOCS) and to explore the possible correlations between it and clinical features. One hundred and seventeen out-patients with a DSM-IV diagnosis of OCD and different comorbid psychiatric disorders were included in the study and assessed by means of the Y-BOCS, Hamilton rating scale for depression (HRSD) and the global clinical impression. The results showed that almost 50% of the patients had an excellent level of insight and 15% had a little or no insight. No correlation between levels of insight and clinical features was observed, except for a negative trend with the presence of somatic obsessions. In addition, a trend towards a lower level of insight was observed in those bipolar patients with a positive history of repeated manic or hypomanic episodes. Further studies seem to be necessary in order to establish whether or not OCD patients with poor insight represent a distinct sub-group of patients.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0924-9338
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
407-10
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Insight in obsessive-compulsive disorder: a study of an Italian sample.
pubmed:affiliation
Dipartimento di Psichiatria, Neurobiologia, Farmacologia e Biotecnologie, University of Pisa, via Roma, 67, 56100, Pisa, Italy. dmarazzi@psico.med.unipi.it
pubmed:publicationType
Journal Article