Gillespie, Steven 
ORCID: 0000-0001-7789-5381, Centifanti, Luna ORCID: 0000-0003-4562-8187 and Garofalo, Carlo
(2020)
Variants of psychopathy in male and female civil psychiatric patients: Latent profile analyses of the MacArthur Violence Risk dataset.
Journal of Criminal Justice, 72.
p. 101748.
|
Text
SG_CG_LC_VariantsOfPsychopathy_JCJ2020.pdf - Author Accepted Manuscript Download (1MB) | Preview |
Abstract
Purpose: Psychopathy is a multifaceted disorder of personality that gives rise to distinct profiles of scores across the interpersonal, affective, lifestyle, and antisocial features of the disorder. The identification of distinct profiles of psychopathic traits is of practical importance as they help to distinguish between patients with distinct areas of risk and need. Methods: We used latent profile analysis (LPA) to identify distinct profiles of psychopathic traits in female (N = 357) and male (N = 483) civil psychiatric patients. Results: Three latent profiles were identified that appeared similar in women and in men. These profiles were termed Callous Aggressive, Antisocial, and Low psychopathic traits. A fourth profile identified in men was termed Moderate psychopathic traits. These profiles were distinguishable in terms of internalizing and externalizing behaviors, thoughts and attempts at self-harm, violence, and normal range personality traits. Extending current knowledge, we showed that equivalent profiles in women and in men were nonetheless distinguishable in terms of their associated psychological characteristics. Conclusions: Our results suggest that areas of risk and need vary between profiles of psychopathic traits, and that interventions should incorporate gender-specific features that account for between-gender variation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Psychopathy, Latent profiles, Violence, Gender differences, Psychopathology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 01 Oct 2020 14:45 |
| Last Modified: | 18 Jan 2023 23:30 |
| DOI: | 10.1016/j.jcrimjus.2020.101748 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3103228 |
Dimensions
Dimensions
