Using the biopsychosocial model for identifying subgroups of detained juveniles at different risk of re-offending in practice: a latent class regression analysis approach.

ABSTRACT:

Background

Juvenile delinquents constitute a heterogeneous group, which complicates decision-making based on risk assessment. Various psychosocial factors have been used to define clinically relevant subgroups of juvenile offenders, while neurobiological variables have not yet been integrated in this context. Moreover, translation of neurobiological group differences to individual risk assessment has proven difficult. We aimed to identify clinically relevant subgroups associated with differential youth offending outcomes, based on psychosocial and neurobiological characteristics, and to test whether the resulting model can be used for risk assessment of individual cases.

Methods

A group of 223 detained juveniles from juvenile justice institutions was studied. Latent class re

SUBMITTER: de Ruigh EL 

PROVIDER: S-EPMC8218478 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature