4.6 Article

Integration of the ICD-11 and DSM-5 Dimensional Systems for Personality Disorders Into a Unified Taxonomy With Non-overlapping Traits

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FRONTIERS IN PSYCHIATRY
卷 12, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fpsyt.2021.591934

关键词

ICD-11; DSM-5; personality disorders; discriminant validity; general factor

资金

  1. Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion 2013-2016 - ISCIII Subdireccion General de Evaluacion [PI15/00536]
  2. European Regional Development Fund (ERDF, A way to build Europe)

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The study found that the dimensional taxonomies of ICD-11 and DSM-5 share similar traits and can roughly interchange scores. The overlap of the four domains in the five-factor structure reduces discriminant validity. After extracting a general personality disorder factor through bifactor analysis, a comprehensive model with mutually independent traits was achieved.
The promise of replacing the diagnostic categories of personality disorder with a better-grounded system has been only partially met. We still need to understand whether our main dimensional taxonomies, those of the International Classification of Diseases, 11th Revision (ICD-11) and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), are the same or different, and elucidate whether a unified structure is possible. We also need truly independent pathological domains, as they have shown unacceptable overlap so far. To inquire into these points, the Personality Inventory for DSM-5 (PID-5) and the Personality Inventory for ICD-11 (PiCD) were administered to 677 outpatients. Disattenuated correlation coefficients between 0.84 and 0.93 revealed that both systems share four analogous traits: negative affectivity, detachment, dissociality/antagonism, and disinhibition. These traits proved scalar equivalence too, such that scores in the two questionnaires are roughly interchangeable. These four domains plus psychoticism formed a theoretically consistent and well-fitted five-factor structure, but they overlapped considerably, thereby reducing discriminant validity. Only after the extraction of a general personality disorder factor (g-PD) through bifactor analysis, we could attain a comprehensive model bearing mutually independent traits.

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