JOURNAL ARTICLE
Situating Psychopathy Within the DSM-5 Alternative Model of Personality Disorders (AMPD) Among Italian Community-Dwelling Adults.
Published In: Journal of Personality Disorders, 2023, v. 37, n. 1. P. 49 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Palumbo, Isabella M.; Sica, Claudio; Patrick, Christopher J.; Latzman, Robert D. 3 of 3
Abstract
Given growing evidence for a joint hierarchical framework of clinical and personality symptomatology, situating triarchic traits within this model would acknowledge transdiagnostic trait-related variance and provide a basis for linking the DSM-5 Alternative Model of Personality Disorders (AMPD) domains to established indicators of these neurobehavioral traits. The current study (N = 2,041 Italian adults) sought to replicate and extend recent evidence regarding the locations of triarchic traits within the AMPD and to examine relations with criterion measures at different levels of the hierarchy. "Bass-ackwards" analyses revealed a hierarchical structure of personality pathology in which triarchic traits aligned with broad dispositional domains of the AMPD. Boldness, meanness, and disinhibition were clearly situated within the Externalizing branch of the hierarchy and helped to differentiate the Negative Affect, Antagonism, Detachment, and Disinhibition domains at lower levels. The current findings support the view of psychopathy as multidimensional and encompassing developmentally meaningful and neurobehaviorally relevant traits. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Personality Disorders. 2023/02, Vol. 37, Issue 1, p49
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0885-579X
- DOI:10.1521/pedi.2023.37.1.49
- Accession Number:161621164
- Copyright Statement:Copyright of Journal of Personality Disorders is the property of Guilford Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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