Linked Life Data

2521645

Source:http://linkedlifedata.com/resource/pubmed/id/2521645

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1989-3-17
pubmed:abstractText
Depressive symptoms in three samples are assessed using grade-of-membership analysis to clarify the distribution of depressive symptoms across traditional affective diagnoses. The technique is used to examine whether depressive symptoms and symptoms frequently associated with depressive disorders cluster into recognizable syndromes or pure types that parallel current operational diagnoses. Three hundred and ninety subjects were studied to address the question: among a mixed population with a range of depressive symptoms, will syndromes resembling endogenous depression and demoralization emerge from the range of presentation of depressive symptoms? A single pure type is nearly identical to the DSM-III classification of major depression with melancholia. No such pure type emerged that resembled demoralization.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0165-0327
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
11-20
pubmed:dateRevised
2009-9-28
pubmed:meshHeading
pubmed:articleTitle
A statistical analysis of the classification of depression in a mixed community and clinical sample.
pubmed:affiliation
Department of Psychiatry, Duke University Medical Center, Durham, NC 27710.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.