Department of Psychiatry and Psychotherapy, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
GESINE Netzwerk Gesundheit.EN/Frauen helfen Frauen EN e.V., Schwelm, Germany.
Aggress Behav. 2021 Sep;47(5):570-582. doi: 10.1002/ab.21981. Epub 2021 Jun 7.
Despite compelling evidence that victimization and offending co-occur, it remains unclear what types of victimization are linked to specific forms of perpetration. Here we examined the relationship between physical, psychological, and sexual violence with respect to influencing variables including mental health, risk-taking behaviors, and coping strategies. Data from 5385 men were collected as part of an epidemiological study on violence experience. A classification and regression tree analysis identified the main predictors of violence perpetration and classified violent offending into high- and low-risk groups. Results indicate that violence is best predicted by previous exposure to violence and polyvictimization. Physical violence is best predicted by prior exposure to physical violence and this is further influenced by the frequency of and the age at which violence was experienced. Drug use was a strong predictor of physical and psychological violence. The latter is best predicted by a history of polyvictimization, the severity and the originator of violence. Sexual violence is strongly predicted by one's sexual violence experience. Other factors such as demographic characteristics are less predictive. Our results may contribute to the development of early prevention and intervention approaches that account for different risk factors. The significance of violence exposure suggest that intervention measures must focus on victims of early and prolonged experience of violence. On the strength of the link between drug use and violence, exposure to violence should be considered in drug prevention and intervention and vice versa.
尽管有确凿的证据表明受害和犯罪是同时发生的,但仍不清楚哪些类型的受害与特定形式的犯罪有关。在这里,我们研究了身体、心理和性暴力与心理健康、冒险行为和应对策略等影响变量之间的关系。作为一项关于暴力经历的流行病学研究的一部分,我们收集了 5385 名男性的数据。分类和回归树分析确定了暴力犯罪的主要预测因素,并将暴力犯罪分为高风险和低风险群体。结果表明,暴力行为最好由先前的暴力暴露和多受害者情况来预测。身体暴力最好由先前的身体暴力暴露来预测,而这又受到暴力发生的频率和年龄的影响。药物使用是身体和心理暴力的强有力预测因素。后者最好由多受害者情况、暴力的严重程度和来源来预测。性暴力是由性暴力经历强烈预测的。其他因素,如人口统计学特征,则不太具有预测性。我们的研究结果可能有助于制定早期预防和干预措施,考虑到不同的风险因素。暴力暴露的意义表明,干预措施必须针对早期和长期遭受暴力的受害者。鉴于药物使用和暴力之间的联系,应在药物预防和干预中考虑到暴力暴露,反之亦然。