PREDICTING CLUSTER C PERSONALITY DISORDERS (AVOIDANT, DEPENDENT AND OBSESSIVE-COMPULSIVE) ACCORDING TO BEHAVIORAL ACTIVATION AND INHIBITION SYSTEMS

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.