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谁有风险?运用生物心理社会模型解释青少年的非暴力犯罪和暴力犯罪。

Who is at risk? Applying the biopsychosocial model to explain non-violent and violent delinquency in youth.

机构信息

Section Youth at Risk, Department of Child and Adolescent Psychiatry and Psychosocial Care, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Amsterdam Public Health, Mental Health, Amsterdam, the Netherlands; Developmental and Educational Psychology, Institute of Psychology, Leiden University, the Netherlands.

Out of the Box Plot, Rotterdam, the Netherlands; Developmental Psychology, Tilburg School of Social and Behavioral Sciences, Tilburg University, the Netherlands.

出版信息

Dev Cogn Neurosci. 2024 Oct;69:101428. doi: 10.1016/j.dcn.2024.101428. Epub 2024 Aug 10.

Abstract

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.

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,但此类测量在临床实践中的应用却滞后了。根据综合的生物心理社会模型,应结合心理和社会环境因素来研究生物测量。在这项数据驱动的研究中,我们通过结合九项生物(自主神经系统;内分泌)、九项心理和七项社会环境措施,将这一综合模型应用于解释 876 名高危青年(715 名男性,9-27 岁)的非暴力和暴力犯罪行为。通过潜在类别回归分析,我们发现了四个不同的心理驱动的生物群,它们在非暴力和暴力犯罪风险方面存在差异,受到社会环境变量的调节:生物心理病理特征;低问题;高问题;和生物反应性群体。个体对(非)暴力犯罪的脆弱性取决于不同群体之间存在差异的社会环境背景。这些发现强调了在解释(非)暴力犯罪时,生物和心理因素在社会环境因素背景下的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8742/11385395/8f8daa1483b4/gr1.jpg

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