scholarly journals Predictors of Intervention Success in a Sports-Based Program for Adolescents at Risk of Juvenile Delinquency

2017 ◽  
Vol 62 (6) ◽  
pp. 1535-1555 ◽  
Author(s):  
Anouk Spruit ◽  
Claudia van der Put ◽  
Eveline van Vugt ◽  
Geert Jan Stams
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Juvenile Delinquency ◽  
Protective Factors ◽  
Crime Prevention ◽  
Prevention Program ◽  
Context Factors ◽  
Sports Club ◽  
Crime Prevention Program ◽  
At Risk Adolescents

To prevent juvenile delinquency, there is growing interest in the use of sports-based interventions. To date, there is little empirical research that provides insights into for whom, how, and when sports-based crime prevention programs are most effective. Therefore, the current study assessed which youth, coach, and context factors were predictive of change in risk factors and protective factors for delinquency in a sports-based crime prevention program for at-risk adolescents. Participants ( N = 155) and their teachers filled in questionnaires about risk and protective factors for delinquency at the start of the intervention and 13 months later. In addition, the coaches and participants filled in questionnaires about the predictors of intervention success. The youths showed significant improvements over the course of the intervention. Various youth, coach, and context factors (e.g., the type of education of youth and the sociomoral climate at the sports club) were associated to change in the outcome variables.

Prospective Risk and Protective Factors for Juvenile Arrest Among Youth At Risk for Maltreatment

2019 ◽  
Vol 24 (3) ◽  
pp. 286-298 ◽  
Author(s):  
Anne S. Morrow ◽  
Miguel T. Villodas ◽  
Moira K. Cunius
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Conduct Disorder ◽  
Protective Factors ◽  
Family Violence ◽  
Risk And Protective Factors ◽  
Chi Squared ◽  
Youth At Risk ◽  
Actuarial Risk ◽  
Prospective Risk

This study aimed to prospectively identify ecological risk factors for juvenile arrest in a sample of youth at risk for maltreatment. Chi-Squared Automatic Interaction Detector analysis was performed with data from 592 youth from the Longitudinal Studies of Child Abuse and Neglect to identify the optimal combination of age 14 predictors of past-year arrest at age 16. Results extended previous research, which has identified being male, having more conduct disorder symptoms, suspension from school, perceived school importance, witnessing family violence, and having a jailed family member as key risk and protective factors for arrest by identifying important interactions among these risk factors. These interactions differentiate youth at the greatest risk of arrest, which, in this sample, were males with greater than two symptoms of conduct disorder who witnessed family violence. These findings suggest that longitudinal and multi-informant data could inform the refinement of actuarial risk assessments for juvenile arrest.

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