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Personality Traits in Borderline Personality Disorder: A Cluster Analysis Based on the Millon Test Scores

AI Summary
  • Three empirically derived BPD trait clusters: externalizing-leaning (borderline, histrionic, narcissistic, antisocial), internalizing-leaning (borderline, dependent, avoidant), and attenuated.
  • Patterns 1 and 2 exhibited greater anxious-depressive symptomatology; Pattern 1 also showed elevated anger expression relative to the attenuated pattern.
  • Distinct clusters may inform early characterisation and personalised treatment; the attenuated cluster received more pharmacological treatment.
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J Clin Psychol. 2026 Jul 4. doi: 10.1002/jclp.70176. Online ahead of print.

ABSTRACT

INTRODUCTION: The complexity of the treatment of borderline personality disorder (BPD) is largely due to its heterogeneity. The aim of this study is to identify empirically derived patterns of co-occurring personality traits in individuals with primary BPD and to examine their clinical correlates.

METHODS: Millon’s personality traits (MCMI-IV) of 97 BPD patients were assessed and a cluster analysis of these traits was performed. Patients were evaluated on different clinical dimensions of BPD and compared between the different clusters found.

RESULTS: Three trait-pattern clusters were obtained. Pattern 1 showed higher scores for borderline, histrionic, narcissistic and antisocial traits. Pattern 2 had higher scores for borderline, dependent and avoidant traits. Pattern 3 had lower levels of all the traits. Patients in patterns 1 and 2 showed greater scores on anxious-depressive scales. Pattern 1 also showed greater scores for anger expression. Pattern 3 patients were characterized for receiving more pharmacological treatment.

CONCLUSIONS: Findings provide evidence for three patterns of co-occurring traits within BPD, consistent with dimensional conceptualizations and longstanding categorical overlap. These patterns align with externalizing-leaning, internalizing-leaning, and attenuated configurations and may help generate hypotheses for early characterization and treatment personalization.

PMID:42400289 | DOI:10.1002/jclp.70176

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