Holliday Stephanie Brooks, Sreenivasan Shoba, Elbogen Eric, Thornton David, McGuire Jim
RAND Corporation.
Keck USC School of Medicine.
Int J Forensic Ment Health. 2022;21(2):120-132. doi: 10.1080/14999013.2021.1943569. Epub 2021 Jul 5.
Although veterans have lower incarceration rates than civilians, large national surveys find higher rates of incarceration for sexual offenses among veterans compared to non-veterans. However, little is known about the factors associated with repeat sexual offending among veterans. This study examines characteristics of veterans who committed sexual offenses and how they differ from civilians with those offenses. It also examined if the factors that differ between veterans and civilians who have a history of repeat sexual offenses and those who do not. Based on previous research related to risk in veterans, we expected there may be veteran-specific risk factors. This study used the Survey of Inmates in State and Federal Correctional Facilities. Predictors were identified through a review of the literature regarding sexual offense risk assessment and justice-involved veterans. Risk factors were examined using logistic regression analysis. In a multivariate logistic regression, there were significant interactions between veteran status and age, race, and education in the prediction of repeat offense status. Prior incarceration for a non-sexual offense was also associated with repeat offense status. Findings suggests that civilian risk factors are relevant to veteran risk assessment, an important finding that can help inform intervention and risk management with veterans.
尽管退伍军人的监禁率低于平民,但大型全国性调查发现,退伍军人中性犯罪的监禁率高于非退伍军人。然而,对于退伍军人中与重复性犯罪相关的因素知之甚少。本研究调查了实施性犯罪的退伍军人的特征,以及他们与实施此类犯罪的平民有何不同。研究还考察了有重复性犯罪史的退伍军人与无此犯罪史的退伍军人之间存在差异的因素。基于此前与退伍军人风险相关的研究,我们预计可能存在退伍军人特有的风险因素。本研究使用了州和联邦惩教设施在押人员调查。通过回顾有关性犯罪风险评估和涉及司法事务的退伍军人的文献来确定预测因素。使用逻辑回归分析来检验风险因素。在多变量逻辑回归中,退伍军人身份与年龄、种族和教育程度在预测重复性犯罪状态方面存在显著交互作用。非性犯罪前科也与重复性犯罪状态相关。研究结果表明,平民风险因素与退伍军人风险评估相关,这一重要发现有助于为退伍军人的干预和风险管理提供信息。