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使用统计学习模型区分亲密伴侣暴力的施害者与其他暴力罪犯:认知和生活史变量的作用。

Differentiating Perpetrators of Intimate Partner Violence From Other Violent Offenders Using a Statistical Learning Model: The Role of Cognition and Life History Variables.

机构信息

Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

University of California, Los Angeles, USA.

出版信息

J Interpers Violence. 2022 Feb;37(3-4):1106-1132. doi: 10.1177/0886260520918567. Epub 2020 May 21.

DOI:10.1177/0886260520918567
PMID:32438883
Abstract

Intimate partner violence (IPV) is a widespread crime that victimizes over 4-million women per year in the United States and results in significant monetary cost and unmeasured physical and psychological consequences for victims. Specialized IPV offender treatment programs demonstrate limited effectiveness, which may be due to an insufficient understanding of the factors that differentiate between IPV perpetrators and non-IPV violent offenders. In this study, we utilized classification and regression tree (CART) analysis to identify combinations of factors that best discriminate IPV perpetrators from non-IPV violent offenders. We also compared cognitive abilities between IPV perpetrators and non-IPV violent offenders using standardized neurocognitive tests. CART analysis presented two pathways for identifying offenders as IPV perpetrators: (a) extensive nonviolent criminal history and (b) moderate-to-severe expression of interpersonal traits of psychopathy without attentional deficits. In addition, a third pathway identified non-IPV violent offenders: (c) low levels of interpersonal psychopathic traits and no history of neurodevelopmental diagnosis. IPV perpetrators demonstrated intact cognition relative to test norms, and study groups did not significantly differ on cognitive performance. These findings suggest that individuals with multiple arrests for nonviolent crime or individuals with interpersonal traits of psychopathy without attentional difficulties may be at enhanced risk for IPV perpetration.

摘要

亲密伴侣暴力 (IPV) 是一种普遍存在的犯罪,每年在美国有超过 400 万名女性成为受害者,给受害者带来了巨大的经济损失和无法衡量的身体和心理后果。专门针对 IPV 罪犯的治疗方案效果有限,这可能是由于对区分 IPV 犯罪者和非 IPV 暴力犯罪者的因素了解不足。在这项研究中,我们利用分类和回归树 (CART) 分析来确定最佳区分 IPV 犯罪者和非 IPV 暴力犯罪者的因素组合。我们还使用标准化神经认知测试比较了 IPV 犯罪者和非 IPV 暴力犯罪者的认知能力。CART 分析提出了两种识别犯罪者为 IPV 犯罪者的途径:(a) 广泛的非暴力犯罪史和 (b) 人际特质精神病态的中度至重度表现,而无注意力缺陷。此外,第三种途径确定了非 IPV 暴力犯罪者:(c) 人际精神病态特征水平低,且无神经发育诊断史。与测试规范相比,IPV 犯罪者的认知能力完整,且研究组在认知表现上没有显著差异。这些发现表明,有多次非暴力犯罪被捕记录的个人或有注意力困难的人际特质精神病态的个人可能面临更高的 IPV 犯罪风险。

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