Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-23T14:23:18.567Z Has data issue: false hasContentIssue false

Applying the Five-Factor Model of Personality to the Exploration of the Construct of Risk-Taking in Obsessive-Compulsive Disorder

Published online by Cambridge University Press:  14 December 2005

Clare S. Rees
Affiliation:
Curtin University, Perth, Australia
Rebecca A. Anderson
Affiliation:
Curtin University, Perth, Australia
Sarah J. Egan
Affiliation:
Curtin University, Perth, Australia

Abstract

Although there has been a long interest in the personality traits associated with obsessive-compulsive disorder (OCD), few studies have examined differences on normal, dimensional personality traits for individuals with OCD compared with other clinical disorders. The purpose of this study was to replicate and extend upon the work of Rector et al. (2002) who found unique associations between OCD and trait domains and facets of the five-factor model of personality (FFM) when compared with a clinical sample of depressed individuals. The current study compared individuals with a current diagnosis of OCD (n=21) with individuals with a current diagnosis of anxiety or depression but no OCD symptoms (n=39) on the Revised NEO Personality Inventory (NEO PI-R Form S). Of particular interest was whether individuals with OCD would differ from other clinically anxious/depressed individuals on the actions facet of the FFM, as this facet is known to be related to harm and risk avoidance, and previous research suggests specific relationships between these forms of avoidance and OCD. Individuals with OCD were found to have lower scores on the actions, competence and self-discipline facets. These results add further support to previous research that suggests unique associations between trait domains and facets of the FFM and OCD.

Type
Research Article
Copyright
© 2006 British Association for Behavioural and Cognitive Psychotherapies

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)
Submit a response

Comments

No Comments have been published for this article.