Childs Kristina, Viglione Jill, Chapman Jason E, Drazdowski Tess K, McCart Michael R, Sheidow Ashli J
University of Central Florida, Department of Criminal Justice.
Oregon Social Learning Center (OSLC).
J Crime Justice. 2023;46(2):211-230. doi: 10.1080/0735648x.2022.2103014. Epub 2022 Aug 18.
There is a significant gap in research examining the prevalence of problem behaviors among youth involved in the juvenile justice system in rural areas. The current study sought to address this gap by exploring the behavioral patterns of 210 youth who were on juvenile probation in predominantly rural counties and who were identified as having a substance use disorder. First, we examined the correlation among 7 problem behaviors representing different forms of substance use, delinquency, and sexual risk-taking and 8 risk factors related to recent service utilization, internalizing and externalizing difficulties, and social support networks. Then, we used latent class analysis (LCA) to identify distinct behavioral profiles based on the observed problem behaviors. LCA identified a 3-class model representing distinct groups labeled and Finally, we assessed differences (i.e., ANOVA, χ) in each risk factor across the behavioral profiles. Important similarities and differences in the association among the problem behaviors, behavioral profiles, and the risk factors were revealed. These findings underscore the need for an interconnected behavioral health model within rural juvenile justice systems that is able to address youths' multidimensional needs including criminogenic, behavioral, and physical health needs.
在研究农村地区少年司法系统中青少年问题行为的患病率方面，存在显著差距。当前的研究试图通过探索210名在主要为农村的县接受少年缓刑且被认定患有物质使用障碍的青少年的行为模式来填补这一差距。首先，我们研究了代表不同形式物质使用、犯罪行为和性冒险行为的7种问题行为与8种与近期服务利用、内化和外化困难以及社会支持网络相关的风险因素之间的相关性。然后，我们使用潜在类别分析（LCA）根据观察到的问题行为识别出不同的行为概况。LCA识别出一个3类模型，代表分别标记为 和 的不同群体。最后，我们评估了各行为概况中每个风险因素的差异（即方差分析、卡方检验）。揭示了问题行为、行为概况和风险因素之间关联的重要异同。这些发现强调了农村少年司法系统中需要一个相互关联的行为健康模型，该模型能够满足青少年的多维度需求，包括犯罪成因、行为和身体健康需求。
