Volume 25, Issue 10 (Monthly_Dec 2014)                   J Urmia Univ Med Sci 2014, 25(10): 931-939 | Back to browse issues page

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Molaee M, Jani S, Hamedi R, Jangi Gojebiglou S. PREDICTING CLUSTER C PERSONALITY DISORDERS (AVOIDANT, DEPENDENT AND OBSESSIVE-COMPULSIVE) ACCORDING TO BEHAVIORAL ACTIVATION AND INHIBITION SYSTEMS. J Urmia Univ Med Sci. 2014; 25 (10) :931-939
URL: http://umj.umsu.ac.ir/article-1-2549-en.html
Department of Counseling, Parsabad Moghan Branch, Islamic Azad University, Parsabad , Jani_s11@yahoo.com
Abstract:   (6335 Views)

 

Background & Aims: Due to the expansiveness problems caused by personality disorders in personal and familial life, recognition of predisposing factors of such diseases leads to more accurate and better understanding of them. It also helps diagnose the preventive measures in treating these disorders and because personality disorders affect all aspects of interpersonal relationships of patients, the present research was done to predict the cluster C personality disorders according to behavioral inhibition system and behavioral activation system.

Materials & Methods: This descriptive-correlational research was conducted on 300 stuedents selected by multi steps cluster sampling from students of Tabriz University in 2013. They filled Millon clinical multi-axial inventory-3 (MCMI) and Behavioral activation-inhibition system scale (BIS-BAS). The data were analyzed with Pearson correlation coefficient and simultaneous regression.

Results: Accordingly, only BIS was significantly helpful to predict the avoidant and dependent personality disorders. Not BIS nor BAS were significant to predict the obsessive-compulsive 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 diseases and expand helpful treatments.

 

SOURCE: URMIA MED J 2014: 25(10): 939 ISSN: 1027-3727

Full-Text [PDF 420 kb]   (1832 Downloads)    
Type of Study: case report | Subject: آناتومی

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