Delinquency, depression, and substance use disorder among child welfare-involved adolescent females. 2014

Marina Lalayants, and Jonathan D Prince
Silberman School of Social Work at Hunter College, City University of New York, 2180 3rd Avenue, New York, NY 10035, United States.

Although adolescents with delinquency are known to have higher-than-average rates of depression or substance use disorder (SUD), research on the topic is inconsistent. It remains unclear weather depression or SUD leads to delinquency, whether delinquency leads to depression or SUD, or whether there is bi-directionality. Utilizing the National Survey of Child and Adolescent Well-Being (Wave I: 2008-2009; Wave II: 18 months later: N=5872), we used logistic regression to predict depression from delinquency (and vice versa), and SUD from delinquency (and vice versa). After inclusion of control variables, we found that females with minor theft in Wave I were more than 4 times as likely (adjusted odds ratio [aOR]=4.34; 95% CI: 1.10-17.16) as females without minor theft to be depressed in Wave II, and those with public disorder in Wave I were almost 3 times as likely (aOR=2.74; 95% CI: 1.03-7.30) as those without public disorder to have SUD in Wave II. Overall delinquency also predicted depression or SUD, and SUD predicted delinquency. Practitioners could address risk for depression or SUD among child welfare-involved adolescent females by focusing on overall delinquency or on specific types of delinquency (minor theft for depression and public disorder for SUD) and by offering interventions (e.g., cognitive-behavioral psychotherapy) that have been shown to be effective in preventing depression or SUD. In addition, with respect to our finding that SUD predicts delinquency among adolescent females, practitioners can help prevent delinquency by offering interventions (e.g., intensive outpatient treatments) that have well documented effectiveness in addressing SUD.

UI MeSH Term Description Entries
D007604 Juvenile Delinquency The antisocial acts of children or persons under age which are illegal or lawfully interpreted as constituting delinquency. Delinquency, Juvenile
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002669 Child Welfare Organized efforts by communities or organizations to improve the health and well-being of the child. Adolescent Welfare,Welfare, Adolescent,Welfare, Child
D003863 Depression Depressive states usually of moderate intensity in contrast with MAJOR DEPRESSIVE DISORDER present in neurotic and psychotic disorders. Depressive Symptoms,Emotional Depression,Depression, Emotional,Depressive Symptom,Symptom, Depressive
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic
D019966 Substance-Related Disorders Disorders related to substance use or abuse. Chemical Dependence,Drug Abuse,Drug Addiction,Drug Dependence,Drug Habituation,Drug Use Disorder,Drug Use Disorders,Organic Mental Disorders, Substance-Induced,Substance Abuse,Substance Dependence,Substance Related Disorder,Substance Use,Substance Use Disorder,Substance Use Disorders,Prescription Drug Abuse,Substance Addiction,Abuse, Drug,Abuse, Prescription Drug,Abuse, Substance,Addiction, Drug,Addiction, Substance,Chemical Dependences,Dependence, Chemical,Dependence, Drug,Dependence, Substance,Dependences, Chemical,Disorder, Drug Use,Disorder, Substance Related,Disorder, Substance Use,Disorders, Substance Related,Drug Abuse, Prescription,Habituation, Drug,Organic Mental Disorders, Substance Induced,Related Disorder, Substance,Related Disorders, Substance,Substance Abuses,Substance Uses,Use, Substance

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