The relationship of the Severe Personality disorders with behavioral activation and inhibition systems in patients with paranoid, borderline and schizotypal personality disorders

authors:

avatar Setareh Jani 1 , * , avatar Mehri Molaee 2

Dept. of Counseling, University of Tabriz, Tabriz, Iran
Dept. of psychology, University of Mohaghegh Ardabili, Ardabil, Iran

how to cite: Jani S, Molaee M. The relationship of the Severe Personality disorders with behavioral activation and inhibition systems in patients with paranoid, borderline and schizotypal personality disorders. J Kermanshah Univ Med Sci. 2016;20(3):e69694. https://doi.org/10.22110/jkums.v20i3.2918.

Abstract

Introduction: Given the disruptive effects of personality disorders on personal and family life, it is essential to recognize their predisposing factors to understand them more accurately, and identify their preventive measures treatment facilitators. Therefore, the present study aimed to examine the relationship of severe personality disorders with behavioral activation and inhibition systems in patients with paranoid, borderline and schizotypal personality disorders.
Methods: The present descriptive-correlational study recruited patients with paranoid, borderline and schizotypal personality disorders presenting to psychiatry clinics in Ardabil using convenient sampling method. A total of 30 paranoid patients, 30 borderline patients and 20 schizotypal patients were selected by a psychiatrist through psychiatric examination, clinical interview and completing Millon Clinical Multiaxial Inventory (MCMI-III). The following instruments were used: MCMI- III and behavioral activation-inhibition system scale (BIS-BAS). The data were analyzed with Pearson’s correlation coefficient and stepwise regression.
Results: BIS and BAS systems were both significant for predicting borderline and paranoid personality disorders, but only BIS was significant for predicting schizotypal personality disorder.
Conclusion: These findings can help experts to have a better and more accurate understanding of personality disorders and use proper methods to predict the probability of these disorders and develop treatments.

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