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Childhood antisocial behaviors as predictors of psychotic symptoms and DSM-III-R borderline criteria among inpatients with borderline personality disorder.

Abstract
Structured clinical interviews of 107 female inpatients diagnosed with borderline personality disorder (BPD) were used to determine whether antisocial personality disorder (APD) diagnostic criteria evident prior to age 15 could be used to predict current Axis I and Axis II psychopathology. Diagnostic information was gathered using the Structured Clinical Interview for DSM-III-R Personality Disorders (SCID-II) and the Structured Clinical Interview for DSM-III-R-Patient Version (SCID-P). Childhood APD criteria were subjected to principal-components analysis, and three factors--rule-breaking, assault, and sadism--emerged. The severity of the childhood APD criteria was related to psychotic symptoms, as well as to the unstable relationships and labile affect BPD criteria and the current overall severity of BPD criteria. Sadism predicted psychotic symptoms and BPD severity, while rule-breaking predicted unstable relationships and BPD severity. Childhood APD severity also had a larger effect on BPD severity than on psychotic symptoms. Possible explanations for these findings are explored and discussed.
AuthorsG Goodman, J W Hull, J F Clarkin, F E Yeomans
JournalJournal of personality disorders (J Pers Disord) Vol. 13 Issue 1 Pg. 35-46 ( 1999) ISSN: 0885-579X [Print] United States
PMID10228925 (Publication Type: Journal Article)
Topics
  • Adult
  • Antisocial Personality Disorder (diagnosis, epidemiology, psychology)
  • Borderline Personality Disorder (diagnosis, epidemiology, therapy)
  • Child
  • Child Behavior Disorders (diagnosis, epidemiology, psychology)
  • Cluster Analysis
  • Comorbidity
  • Factor Analysis, Statistical
  • Female
  • Hospitalization
  • Humans
  • Prevalence
  • Probability
  • Psychiatric Status Rating Scales (statistics & numerical data)
  • Psychotic Disorders (epidemiology, psychology)
  • Sadism (diagnosis, epidemiology)
  • Severity of Illness Index
  • Violence (psychology, statistics & numerical data)

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