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.
Published: 2024-08-10
Who is at risk? Applying the biopsychosocial model to explain non-violent and violent delinquency in youth
Neeltje E. Blankenstein, Samantha Bouwmeester, Sterre L. van Haeringen, Rowan T. van Klink, Lieke M. van der Meule, Lucres M. C. Jansen
Biopsychosocial, Data-driven, Latent-class regression, Non-violent, Violent delinquency, Youth
- Item Type: journalArticle
- Publication Title: Developmental Cognitive Neuroscience
- Volume: 69
- Pages: 101428
- Series:
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- Journal Abbreviation: Dev Cogn Neurosci
- DOI: /10.1016/j.dcn.2024.101428
- ISSN: 1878-9307
- Short Title: Who is at risk?
- Library Catalog: PubMed
