No abstract

Objectives: The present study extracted symptom profiles based on parent and youth report on a broad symptom checklist. Profiles based on parent-reported symptoms were compared to those based on adolescent self-report to clarify discrepancies. Method: The current study used archival data from 1,269 youth and parent dyads whose youth received services at a community mental health center. The mean age of the sample was 14.31 years (standard deviation = 1.98), and the youth sample was half male (50.1%) and primarily Caucasian (86.8%). Latent profile analysis was used to extract models based on parent and self-reported emotional and behavioral problems. Results: Results indicated that a 5-class solution was the best fitting model for youth-reported symptoms and an adequate fit for parent-reported symptoms. For 46.5% of the sample, class membership matched for both parent and youth. Conclusion: Latent profile analysis provides an alternative method for exploring transdiagnostic subgroups within clinic-referred samples. C 2016 Wiley Periodicals, Inc. J. Clin. Psychol. 72:676-688, 2016.

This research examined similarities and differences in gender regarding social aggression, criminal assault, depression, and familial factors. The participants were 251 youth offenders (158 males) who were arrested and incarcerated in a juvenile facility. The measures consisted of self-reported acts of social aggression, simple and aggravated assault, subtypes of depression, and self-reports on parental care and control. Our data demonstrate the importance of including gender, types of aggression/assault, subtypes of depression, and familial factors when examining their association. For example, less parental care predicted more social aggression for both males and females. However, neither did parental care predict aggravated assault for either gender, nor did parental care predict general depression or anhedonia. Parental control had different impact depending on gender. More parental control increased rates of social aggression and simple assault for females but not for males. Symptoms of general depression predicted committing simple assault for both males and females, but not anhedonia. However, general depressive symptoms and anhedonia were associated with committing aggravated assault for both genders. Policy implications were discussed.

The current study used confirmatory factor analysis (CFA) to compare the fit of 2 factor structures for the Children's Depression Inventory (CDI) in an urban community sample of low-income youth. Results suggest that the 6-factor model developed by Craighead and colleagues (1998) was a strong fit to the pattern of symptoms reported by low-income urban youth and was a superior fit with these data than the original 5-factor model of the CDI (Kovacs, 1992). Additionally, results indicated that all 6 factors from the Craighead model contributed to the measurement of depression, including School Problems and Externalizing Problems especially for older adolescents. This pattern of findings may reflect distinct contextual influences of urban poverty on the manifestation and measurement of depression in youth.

Neighborhood research indicates that adolescents are at higher risk for delinquency when they reside in neighborhoods low in collective efficacy, low in perceived prosocial norms and values, and high in availability of substances and firearms. However, as adolescents develop, they are more likely to independently travel during their day-to-day activities, and the effects of their home neighborhood may be weakened as they spend time in other communities. The current study surveyed 179 adolescents involved in the juvenile justice system in a small Midwestern city on their perceptions of their home neighborhood and self-reported delinquency. While perceptions of several home neighborhood characteristics significantly predicted severity of delinquency for all respondents, neighborhood effects were significantly weaker for those adolescents who tended to engage in illegal behaviors outside their home neighborhood. These findings suggest that future research and prevention efforts should include more attention to how adolescents may be influenced by multiple neighborhoods.