Predicting juvenile delinquency: the nexus of childhood maltreatment, depression and bipolar disorder

Crim Behav Ment Health. 2009;19(4):235-46. doi: 10.1002/cbm.737.

Abstract

Background: It is important to identify and provide preventative interventions for youth who are most at risk for offending behaviour, but the connection between early childhood or adolescent experiences and later delinquency adjudication is complicated.

Aim: To test for associations between specified mental disorders or maltreatment and later delinquency adjudication.

Method: Participants were a random sample of youth before the juvenile courts in two Northeast Ohio counties in the USA (n = 555) over a 4-year time frame (2003 to 2006).

Results: Logistic regression analysis identified a lifetime diagnosis of depression and/or bipolar disorder to be predictive of later youth delinquency adjudication, but found that childhood maltreatment (or involvement with the child welfare system) made delinquency outcomes less likely.

Implications: Study implications are discussed as they relate to professionals working in the fields of child welfare, social work, mental health and juvenile justice. Awareness of risks associated with maltreatment may have led to effective interventions, while there may be less awareness of risks from depression in young people; however, studies tend not to take account of intervention variables.

MeSH terms

  • Adaptation, Psychological
  • Adolescent
  • Adolescent Behavior / psychology
  • Attention Deficit Disorder with Hyperactivity / complications
  • Attention Deficit Disorder with Hyperactivity / psychology*
  • Bipolar Disorder / classification
  • Bipolar Disorder / complications
  • Bipolar Disorder / psychology*
  • Child
  • Child Abuse / classification
  • Child Abuse / psychology*
  • Cohort Studies
  • Depressive Disorder, Major / complications
  • Depressive Disorder, Major / psychology
  • Female
  • Humans
  • Juvenile Delinquency / prevention & control
  • Juvenile Delinquency / psychology*
  • Logistic Models
  • Male
  • Ohio
  • Predictive Value of Tests
  • Retrospective Studies
  • Stress, Psychological / complications