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Related Experiment Videos

Psychopathology: description and classification.

P E Nathan1, J W Langenbucher

  • 1Department of Psychology, University of Iowa, Iowa City 52242, USA. peter-nathan@uiowa.edu

Annual Review of Psychology
|March 13, 1999
PubMed
Summary
This summary is machine-generated.

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The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) shows good reliability and validity, but some disorders like schizophrenia and personality disorders still need improvement. Dimensional approaches show promise but require more research.

Area of Science:

  • Psychiatry
  • Psychological diagnostics
  • Mental health research

Background:

  • The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) is a widely used diagnostic system.
  • Its empirical foundation has led to improvements in reliability and validity.
  • However, challenges remain in diagnosing certain mental health conditions.

Purpose of the Study:

  • To evaluate the reliability and validity of the DSM-IV.
  • To examine the diagnostic challenges associated with specific mental health disorders.
  • To explore the implications of comorbidity and the potential of dimensional diagnostic approaches.

Main Methods:

  • Review of empirical research on DSM-IV reliability and validity.
  • Analysis of studies validating diagnostic criteria using neurobiological, genetic-familial, and trait-based models.

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  • Examination of research on the comorbidity of mental disorders.
  • Conceptual evaluation of dimensional versus syndromal diagnostic systems.

    • Main Results:

    • DSM-IV demonstrates good to excellent reliability and improved validity overall.
    • Reliability remains problematic for schizophrenic spectrum, personality, and some childhood/adolescent disorders.
    • Diagnostic validity shows mixed results: modest success with neurobiological validators for schizophrenia spectrum disorders, but success with trait models for depressive and anxiety disorders.
    • High comorbidity is noted for substance-related disorders, personality disorders, depression, and anxiety.
    • Dimensional approaches show conceptual advantages but require further empirical investigation.

    Conclusions:

    • While DSM-IV has strengths, specific diagnostic categories require further refinement.
    • Comorbidity presents significant challenges and adverse consequences in clinical practice.
    • Dimensional diagnostic systems offer a promising alternative but need more empirical validation before widespread adoption.