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性别的四因素模型对精神变态的预测作用体现在身体、语言和间接攻击上。

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

机构信息

Division of Acute Care Surgical Services, Department of Surgery, Virginia Commonwealth University Health, Richmond, Virginia.

Department of Psychology, University of Durham, Durham, UK.

出版信息

Aggress Behav. 2019 May;45(3):265-274. doi: 10.1002/ab.21816. Epub 2019 Jan 30.

Abstract

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.

摘要

精神病态是一个多方面的结构,与攻击性有关。然而,很少有研究使用精神病态的 4 个方面模型在社区样本中探索身体、言语和间接攻击之间的关联,迄今为止,还没有研究测试男性和女性之间的差异。本研究旨在了解精神病态的哪些方面可以预测男性和女性的攻击行为,同时控制反社会人格障碍(ASPD)等重要风险因素。本研究从一个大型保加利亚社区样本(N=565)中得出,验证性因素分析(CFA)支持使用精神病态检查表的 4 个方面模型:筛查版本(PCL:SV;Hart 等人,)。分层线性回归显示,身体攻击由情感和反社会精神病态特征以及 ASPD 预测。言语攻击由人际关系方面预测,间接攻击由反社会精神病态方面和 ASPD 预测。性别显著调节了精神病态各方面与身体和间接攻击之间的关系。具体来说,情感方面仅与女性的身体攻击呈正相关,而反社会方面仅与男性的间接攻击呈正相关。研究结果表明,精神病态的 4 个方面模型在预测社区样本中的攻击形式时,对捕捉男性和女性之间的相似性和差异非常敏感。这些发现强调了了解男性和女性在攻击性行为风险因素方面的差异的重要性,这将更好地根据性别特定的需求为基于性别的暴力干预提供信息。

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