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    ABSTRACT: Objective Current knowledge regarding psychiatric disorders and crime in youth is limited to juvenile justice and community samples. This study examined relationships between psychiatric disorders and self-reported crime involvement in a sample of youth representative of the US population. Method The National Comorbidity Survey-Adolescent Supplement (N=10,123; ages 13-17; 2001-2004) was used to examine the relationship between lifetime DSM-IV-based diagnoses, reported crime (property, violent, other), and arrest history. Logistic regression compared the odds of reported crime involvement with specific psychiatric disorders to those without any diagnoses, and examined the odds of crime by psychiatric comorbidity. Results Prevalence of crime was 18.4%. Youth with lifetime psychiatric disorders, compared to no disorders, had significantly greater odds of crime, including violent crime. For violent crime resulting in arrest, conduct disorder (CD; OR=57.5; 95% CI=30.4,108.8), alcohol use disorders (OR=19.5; 95% CI=8.8,43.2), and drug use disorders (OR=16.1; 95% CI=9.3,27.7) had the greatest odds with similar findings for violent crime with no arrest. Psychiatric comorbidity increased the odds of crime. Youth with 3 or more diagnoses (16.0% of population) accounted for 54.1% of those reporting arrest for violent crime. Youth with at least 1 diagnosis committed 85.8% of crime, which was reduced to 67.9% by removing those with CD. Importantly, 88.2% of youth with mental illness report never committing any crime. Conclusion Our findings highlight the importance of improving access to mental health services for youthful offenders in community settings given the substantial associations found between mental illness and crime in this nationally representative epidemiological sample.
    Journal of the American Academy of Child & Adolescent Psychiatry 08/2014; 53(8). DOI:10.1016/j.jaac.2014.05.007 · 6.35 Impact Factor
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    ABSTRACT: Background: This paper provides results from a pilot study focused on assessing early-stage effectiveness and usability of a smartphone-based intervention system that provides a stand-alone, self-administered intervention option, the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A). The LBMI-A provided numerous features for intervening with ongoing drinking, craving, connection with supportive others, managing life problems, high-risk location alerting, and activity scheduling. Methods: Twenty-eight participants, ranging in age from 22 to 45, who met criteria for an alcohol use disorder used an LBMI-A–enabled smartphone for 6 weeks. Results: Participants indicated the LBMI-A intervention modules were helpful in highlighting alcohol use patterns. Tools related to managing alcohol craving, monitoring consumption, and identifying triggers to drink were rated by participants as particularly helpful. Participants also demonstrated significant reductions in hazardous alcohol use while using the system (56% of days spent hazardously drinking at baseline vs. 25% while using the LBMI-A) and drinks per day diminished by 52%. Conclusions: Implications for system improvement as well as suggestions for designing ecological momentary assessment and intervention systems for substance use disorders are discussed.
    Substance Abuse 05/2014; 35(2). DOI:10.1080/08897077.2013.821437 · 1.62 Impact Factor