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Sex differences on the four-facet model of psychopathy predict physical, verbal, and indirect aggression.

Nicholas D ThomsonKiril BozgunovElena PsederskaJasmin Vassileva
Published in: Aggressive behavior (2019)
Psychopathy is a multifaceted construct that has been linked to aggression. Yet, few studies have explored the association between physical, verbal, and indirect aggression using the 4-facet model of psychopathy in community samples, and to date, no studies exist that test for male and female differences. The present study aimed to understand what facets of psychopathy predict aggressive behavior for men and women, while controlling for important risk factors, such as Antisocial Personality Disorder (ASPD). Drawing from a large Bulgarian community sample (N = 565), a confirmatory factor analysis (CFA) supported the use of the 4-facet model of the Psychopathy Checklist: Screening Version (PCL:SV; Hart et al., ). Hierarchical linear regressions revealed that physical aggression was predicted by affective and antisocial psychopathic traits, and ASPD. Verbal aggression was predicted by the interpersonal facet, and indirect aggression was predicted by the antisocial psychopathy facet and ASPD. Sex significantly moderated the associations among facets of psychopathy and physical and indirect aggression. Specifically, the affective facet was positively associated with physical aggression only for women, whereas the antisocial facet was positively associated with indirect aggression only for men. Results suggest that the 4-facet model of psychopathy is sensitive to capture important similarities and differences between males and females when predicting forms of aggression in community samples. These findings underscore the importance of understanding how men and women differ in their risk-factors for aggressive behavior, which will better inform violence interventions based on sex-specific needs.
Keyphrases
  • mental health
  • physical activity
  • risk factors
  • healthcare
  • working memory
  • metabolic syndrome
  • pregnant women
  • type diabetes
  • middle aged
  • insulin resistance
  • bone regeneration