JOURNAL ARTICLE

Prevalence and Correlates of Psychopathy in the General Population.

  • Published In: Journal of Personality Disorders, 2025, v. 39, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Berluti, Kathryn; Ploe, Montana L.; Doherty, Heather; Jones, Danielle N.; Patrick, Christopher J.; Marsh, Abigail A. 3 of 3

Abstract

Psychopathy encompasses a constellation of personality traits—including callousness, boldness, and disinhibition—associated with lifetime outcomes such as criminal activity, substance use, aggression, and other antisocial behaviors. However, psychopathy's relationship with these outcomes can vary depending on the sample tested, and no prior study has assessed outcomes related to psychopathy in a representative U.S. population sample. We thus assessed the relationship between psychopathy and relevant outcomes using the Triarchic Psychopathy Measure (TriPM) administered to a sample recruited to be demographically representative of American adults (N = 289). Results showed that TriPM psychopathy was normally distributed and associated with antisociality and criminal behavior. Unlike some prior results, we found that neither gender nor income moderated the relationship between psychopathy and criminal behavior. Disinhibition and boldness subscales, but not meanness, were associated with criminal behavior. These results underscore the importance of understanding psychopathy in the general population to improve public safety and health. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Personality Disorders. 2025/02, Vol. 39, Issue 1, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0885-579X
  • DOI:10.1521/pedi.2025.39.1.1
  • Accession Number:183347597
  • 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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