谁处于危险之中?运用生物心理社会模式解释青少年非暴力和暴力犯罪问题

IF 4.6 2区 医学 Q1 NEUROSCIENCES
Neeltje E. Blankenstein , Samantha Bouwmeester , Sterre L. van Haeringen , Rowan T. van Klink , Lieke M. van der Meule , Lucres M.C. Jansen
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引用次数: 0

摘要

研究强调了生物测量在解释反社会行为方面的相关性,但将此类测量纳入临床实践的工作却相对滞后。根据生物-心理-社会综合模型,生物测量应与心理和社会环境因素一起研究。在这项以数据为导向的研究中,我们应用了这一综合模型来解释 876 名高风险青少年(715 名男性,9-27 岁)的非暴力和暴力犯罪行为,将 9 项生物(自主神经系统、内分泌)、9 项心理和 7 项社会环境测量结合起来。通过潜类回归分析,我们发现了四个不同的心理驱动生物组群,它们在非暴力和暴力犯罪风险方面存在差异,并受到社会环境变量的调节:生物-心理病理学特征组群、低问题组群、高问题组群和生物-反应组群。个人在(非)暴力犯罪方面的脆弱性取决于社会环境,而不同组别之间的社会环境是不同的。这些发现凸显了在社会环境因素背景下,生物和心理因素在解释(非)暴力犯罪方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Who is at risk? Applying the biopsychosocial model to explain non-violent and violent delinquency in youth

Research has highlighted the relevance of biological measures in explaining antisocial behavior, but the inclusion of such measures in clinical practice is lagging behind. According to the integrative biopsychosocial model, biological measures should be studied together with psychological and social-environmental factors. In this data-driven study, we applied this comprehensive model to explain non-violent and violent delinquency of 876 at-risk youth (715 male, 9–27 years), by combining nine biological (autonomic-nervous-system; endocrinological), nine psychological, and seven social-environmental measures. Using latent-class-regression analysis we uncovered four distinct psychologically-driven biological clusters, which differed in non-violent and violent delinquency-risk, moderated by social-environmental variables: a biological–psychopathic traits; low problem; high problem; and biological–reactive group. Individual vulnerabilities to (non-)violent delinquency depended on social-environmental context that differed between clusters. These findings highlight the importance of biological and psychological factors, in the context of social-environmental factors, in explaining (non)-violent delinquency.

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来源期刊
CiteScore
7.60
自引率
10.60%
发文量
124
审稿时长
6-12 weeks
期刊介绍: The journal publishes theoretical and research papers on cognitive brain development, from infancy through childhood and adolescence and into adulthood. It covers neurocognitive development and neurocognitive processing in both typical and atypical development, including social and affective aspects. Appropriate methodologies for the journal include, but are not limited to, functional neuroimaging (fMRI and MEG), electrophysiology (EEG and ERP), NIRS and transcranial magnetic stimulation, as well as other basic neuroscience approaches using cellular and animal models that directly address cognitive brain development, patient studies, case studies, post-mortem studies and pharmacological studies.
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