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Related Experiment Videos

Using the five-factor model to represent the DSM-IV personality disorders: an expert consensus approach.

D R Lynam1, T A Widiger

  • 1Department of Psychology, University of Kentucky, Lexington 40506-0044, USA. dlyna1@pop.uky.edu

Journal of Abnormal Psychology
|August 15, 2001
PubMed
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The five-factor dimensional model (FFM) provides a comprehensive framework for understanding personality disorders (PDs), aligning well with existing diagnostic criteria and explaining comorbidity.

Area of Science:

  • Psychology
  • Psychiatry
  • Personality Science

Background:

  • The five-factor dimensional model (FFM) offers a dimensional approach to personality.
  • Previous research has explored translating diagnostic criteria for personality disorders (PDs) into the FFM framework.
  • A need exists for more comprehensive FFM descriptions of prototypic personality disorder cases.

Purpose of the Study:

  • To develop detailed FFM descriptions of prototypic cases for each of the 10 DSM-IV personality disorders.
  • To assess the agreement among experts in FFM translations of PD criteria.
  • To demonstrate the FFM's utility in explaining the high comorbidity rates observed in PDs.

Main Methods:

  • Experts in each of the 10 DSM-IV personality disorders rated prototypic cases using all 30 facets of the FFM.

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  • Data were aggregated across raters to generate a prototypic FFM profile for each disorder.
  • Statistical analysis was used to assess agreement and the FFM's ability to reproduce comorbidity.
  • Main Results:

    • High agreement was found among experts in their FFM ratings of prototypic PD cases.
    • The FFM framework demonstrated good alignment with previous theoretical and empirical translations of DSM diagnostic criteria.
    • The FFM successfully reproduced the high comorbidity rates among personality disorders.

    Conclusions:

    • The DSM personality disorders can be effectively understood through the dimensional lens of the FFM.
    • Schizotypal personality disorder may require further investigation within the FFM framework.
    • The developed FFM prototypes offer a valuable resource for future research, including diagnostic applications.