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冲动控制与冷酷无情特质区分了涉司法青少年的犯罪与物质使用模式:探究邻里环境的调节作用。

Impulse Control and Callous-Unemotional Traits Distinguish Patterns of Delinquency and Substance Use in Justice Involved Adolescents: Examining the Moderating Role of Neighborhood Context.

作者信息

Ray James V, Thornton Laura C, Frick Paul J, Steinberg Laurence, Cauffman Elizabeth

机构信息

Department of Criminal Justice, University of Texas at San Antonio, San Antonio, TX, 78207, USA.

University of New Orleans, New Orleans, LA, USA.

出版信息

J Abnorm Child Psychol. 2016 Apr;44(3):599-611. doi: 10.1007/s10802-015-0057-0.

Abstract

Both callous-unemotional (CU) traits and impulse control are known risk factors associated with delinquency and substance use. However, research is limited in how contextual factors such as neighborhood conditions influence the associations between these two dispositional factors and these two externalizing behaviors. The current study utilized latent class analysis (LCA) to identify unique classes of delinquency and substance use within an ethnically diverse sample (n = 1216) of justice-involved adolescents (ages 13 to 17) from three different sites. Neighborhood disorder, CU traits, and impulse control were all independently associated with membership in classes with more extensive histories of delinquency and substance use. The effects of CU traits and impulse control in distinguishing delinquent classes was invariant across levels of neighborhood disorder, whereas neighborhood disorder moderated the association between impulse control and substance use. Specifically, the probability of being in more severe substance using classes for those low in impulse control was stronger in neighborhoods with fewer indicators of social and physical disorder.

摘要

冷酷无情(CU)特质和冲动控制都是与犯罪及物质使用相关的已知风险因素。然而,关于邻里环境等情境因素如何影响这两种性格因素与这两种外化行为之间的关联,研究有限。本研究利用潜在类别分析(LCA),在来自三个不同地点的1216名涉及司法事务的青少年(13至17岁)的种族多样化样本中,识别出犯罪和物质使用的独特类别。邻里混乱、CU特质和冲动控制均与有更广泛犯罪和物质使用历史的类别成员身份独立相关。CU特质和冲动控制在区分犯罪类别方面的作用在邻里混乱程度的各个水平上是不变的,而邻里混乱调节了冲动控制与物质使用之间的关联。具体而言,在社会和物质混乱指标较少的社区中,冲动控制能力低的人处于更严重物质使用类别的可能性更大。

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