Linked Life Data

20205500

Source:http://linkedlifedata.com/resource/pubmed/id/20205500

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-3-8
pubmed:abstractText
The results of three rigorous studies of the naturalistic course of personality disorders indicate the following: (1) personality psychopathology improves over time at unexpectedly significant rates; (2) particular maladaptive personality traits are more stable than personality disorder diagnoses; (3) although personality psychopathology improves, residual effects are usually seen in the form of persistent functional impairment and ongoing Axis I psychopathology; and (4) improvement in personality psychopathology may eventually be associated with reduction in ongoing personal and social burden. A comparison of the longitudinal stability of personality disorders and mood disorders does not support a clear distinction between them based on differential stability of either psychopathology (at least based on remission rates) or functional impairment. Differences may yet emerge with respect to relapse rates over the longer term. Both types of disorders may share some common underlying vulnerabilities best conceptualized in term of personality traits. A group of promising, though methodologically flawed, family studies suggest familiality of at least BPD among the personality disorders and the coaggregation of BPD and depressive disorders (but not bipolar disorders) that may contribute to their frequent co-occurrence. Again, underlying personality traits may prove to be more heritable than either type of disorder.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1943-2763
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
83-108
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Personality disorders and mood disorders: perspectives on diagnosis and classification from studies of longitudinal course and familial associations.
pubmed:affiliation
Sunbelt Collaborative, Tucson, AZ 85718, USA. askodol@gmail.com
pubmed:publicationType
Journal Article, Review