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

机译:精神病的四面模型的性差异预测身体,口头和间接侵略

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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.
机译:精神病是一种与侵略有关的多方面结构。然而,很少有研究使用社区样本中的4门精神病理学模型探索了物理,口头和间接侵略之间的关联,并且迄今为止,不存在对男性和女性差异的测试。本研究旨在了解精神病患者的哪个方面预测男女侵略性行为,同时控制重要的风险因素,如反社会人格障碍(ASPD)。从一个大的保加利亚社区样本(n = 565)绘制,一个确认因素分析(CFA)支持使用精神病理清单的4 - 刻面模型:筛选版本(PCL:SV; HART等人。,)。分层线性回归显示,通过情感和反社会精神病性特征和ASPD预测了物理侵略。人际关节预测的言语侵略性,反社会精神病术和ASPD预测了间接侵略。性别显着调节精神病和身体和间接侵略方面的关节方面的关联。具体而言,情感方面仅与女性的物理侵略呈正相关,而反社会面部仅与男性的间接侵略呈正相关。结果表明,在预测社区样本中的侵略形式时,精神病的4位精神病模型对雄性和女性之间的重要相似性和差异敏感。这些调查结果强调了了解男女如何在攻击行为的风险因素方面有何不同,这将更好地告知基于性别特定需求的暴力干预措施。

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