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Personality disorders: model for conceptual approach and classification. Part I: General model
M Divac-Jovanovic1, D Svrakic, D Lecic-Tosevski
1Washington University School of Medicine, Department of Psychiatry, St. Louis, MO 63110.
American Journal of Psychotherapy
|January 1, 1993
Summary
A core deficit in personality disorders (PDs) appears to be a common borderline dimension. This shared characteristic distinguishes individuals with PDs from those without, suggesting a new classification principle.
Area of Science:
- Psychiatry
- Clinical Psychology
- Personality Disorders
Background:
- Current classifications of personality disorders (PDs) in DSM-IIIR categorize them as discrete syndromes.
- There is significant overlap in diagnostic criteria among various PDs.
- A unifying dimension underlying PDs has been proposed but not fully elucidated.
Purpose of the Study:
- To investigate a common core deficit across personality disorders.
- To determine if borderline personality features represent a shared dimension distinguishing PDs from non-PDs.
- To explore the utility of this dimension as a classificatory principle for PDs.
Main Methods:
- Utilized the Millon Clinical Multiaxial Inventory (MCMI) and the Diagnostic Interview for Borderlines.
- Compared 121 subjects with PDs against 67 control subjects.
- Analyzed MCMI scales for behavior styles and specifically the MCMI borderline scale.
Main Results:
- Individuals with PDs and controls showed similar profiles on general behavior style scales.
- Subjects with PDs scored significantly higher on the MCMI borderline scale (above 75) and the Diagnostic Interview for Borderlines compared to controls.
- Borderline features were markedly more prevalent in individuals with PDs, serving as a differentiator.
Conclusions:
- Most symptoms previously considered unique to borderline personality are present in other PDs.
- Borderline features represent a common, shared dimension across various personality disorders.
- This shared borderline dimension can potentially serve as a more efficient classificatory principle for PDs.