ArticleBorderline personality disorder and emotion dysregulation2022
Cluster analysis of personality traits in psychiatric patients with borderline personality disorder.
Article in Borderline personality disorder and emotion dysregulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 20 citations in OpenAlex.
- Help-seeking patterns for non-suicidal self-injury across borderline symptom profiles in a large sample of university students.Borderline personality disorder and emotion dysregulation · 2026Article
- Ensemble clustering: A practical tutorial.Behavior research methods · 2026Article
- Unveiling the Layers of Borderline Personality Disorder: A Systematic Review of Clinical Subtypes.Behavioral sciences (Basel, Switzerland) · 2025Review
- The relationship between emotional impulsivity (Urgency), aggression, and symptom dimensions in patients with borderline personality disorder.Borderline personality disorder and emotion dysregulation · 2025Article
- Clinical profiles of adolescent personality pathology: a latent structure examination of the Semi-Structured Interview for Personality Functioning DSM-5 (STiP-5.1) in a help-seeking sample.Borderline personality disorder and emotion dysregulation · 2024Article
- Person-Centered Associations between High- and Low-Risk Personality Profiles and Psychological Adjustment in University Students.Depression and anxiety · 2024Article
- Neurophysiological insights into impaired mentalization in borderline personality disorder an electroencephalography study.Frontiers in psychiatry · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThough the heterogeneous expression of symptoms of borderline personality disorder (BPD) is well-known, it is far from fully understood. Hybrid models combining dimensional and categorical ways of diagnosing BPD have been suggested to better handle this heterogeneity, but more research is needed. The aim of this study was to identify potential clusters in BPD, and evaluate if these clusters differed in diagnostic composition, severity, psychiatric symptoms, emotion regulation and control, or sociodemographic features.
methodsClusters were based on personality traits measured with the Swedish universities Scales of Personality (SSP) in 141 psychiatric patients diagnosed with BPD. Hierarchical cluster analysis was performed using Ward's method. We used one-way analysis of variance to explore the different clusters' properties. Effect sizes were calculated using partial eta squared.
resultsWe found three distinct clusters: the lower psychopathology cluster (N = 67), the externalizing cluster (N = 28), and the internalizing cluster (N = 46). The clusters differed regarding trait composition, severity, and emotion regulation and control.
conclusionsOur findings support hybrid models for diagnosing BPD by showing that clusters differed in terms of both severity (lower and higher psychopathology) and personality traits/style (internalizing and externalizing). Assessment of personality traits may be a feasible way to differentiate between clusters. In the future, this knowledge might be used to personalize treatment.
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