Dimensional models of personality disorder: Diagnostic and Statistical Manual of Mental Disorders Fifth Edition and beyond

Curr Opin Psychiatry. 2007 Jan;20(1):52-6. doi: 10.1097/YCO.0b013e328010c838.

Abstract

Purpose of review: We describe several dimensional models of personality disorders and highlight future directions for the integration of dimensional approaches in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V). This review is timely and relevant, given the upcoming revision of DSM (DSM-V).

Recent findings: Research has identified four common higher order factors that could be used to characterize personality pathology. Evidence supports the inclusion of this dimensional representation of personality disorders in DSM-V, possibly as an adjunct to the traditional categorical classification scheme. A dimensional approach would ameliorate many of the problems associated with the categorical approach. Issues that still need to be addressed are on how to integrate these dimensions into the current classification system in a way that they will be accepted by clinicians and psychopathologists. The clinical utility of the dimensional models must be demonstrated, and the development of a method that combines trait elevations and impairment associated with personality pathology is needed in order to define personality disorder from a dimensional perspective.

Summary: Although there may be some initial resistance to the incorporation of the dimensional models in the future diagnostic manuals, researchers and clinicians are expected to benefit from the more reliable and valid portrayal of personality pathology.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Diagnosis, Differential
  • Diagnostic and Statistical Manual of Mental Disorders*
  • Humans
  • Models, Psychological
  • Personality Disorders / classification
  • Personality Disorders / diagnosis*
  • Personality Disorders / psychology
  • Reproducibility of Results