Using Target Efficiency to Select Program Participants and Risk-Factor Models: An Application to Child Mental Health Interventions for Preventing Future Crime

Statistical risk factor models are often proposed for screening high-risk children to participate in early intervention programs. Recent contributions to the program evaluation literature demonstrate the need for incorporating judgments about relative importance of false positives versus false negatives in screening. This paper formalizes these judgments as commensurable economic costs and benefits and applies them to demonstrate an approach to participant selection motivated by the standard cost-benefit criterion of maximizing expected net benefits. Implications of this approach are explored using data from a mental health prevention trial. We illustrate the response of expected net benefits to the choice of a selection risk level, the sensitivity of the optimal selection risk level to per participant cost/benefit magnitudes, and the use of the target-efficiency approach for choosing among alternative risk-factor models. Several strategies that directly incorporate expected net benefit maximization as a criterion in the model estimation process are also examined.

Adverse Life Events and Depressive Symptoms in African American Youth: The Role of Control-Related Beliefs

The association between experiences of adverse life events and adolescent depressive symptoms has been well documented. However, this association is not consistently observed in urban and low income African American youth. In addition, mechanisms linking life event stress and African American adolescents' depressive symptoms have received little attention. This study examined past year violent and nonviolent life events assessed in 6th grade as predictors of 7th grade depressive symptoms among a community epidemiologically defined sample of 447 (47% girls) urban African American adolescents. Depressive symptoms were assessed twice, at a 1-year interval, and initial depressive symptoms were controlled in the analyses. Control-related beliefs were examined as mediators of the association between life events and depressive symptoms, and gender was examined as a moderator of the association between control-related beliefs and depressive symptoms. Associations among study variables were examined in a series of models, from general to more specific. A model in which nonviolent and violent life events were examined separately and control and contingency beliefs examined as one latent variable was the most informative about the etiology of depressive symptoms in a sample of urban, African American youth. Implications of the findings for preventive interventions and future research are discussed

Parental monitoring trajectories and gambling among a longitudinal cohort of urban youth

Aim: To test the strength of the association between parental monitoring trajectories throughout early adolescence (ages 11–14) and gambling behaviours by young adulthood (age 22). Design: Longitudinal cohort design. Setting: Baltimore, Maryland. Participants: The sample of 514 participants with gambling data between ages 16–22 and parental monitoring data between ages 11–14 were predominantly African American and received subsidized lunches at age 6. Measurements: The South Oaks Gambling Screen and South Oaks Gambling Screen–Revised for Adolescents collected self-reports on annual gambling and gambling problems between ages 16–22. The Parental Monitoring Subscale of the Structured Interview of Parent Management Skills and Practices–Youth Version collected self-reports on annual parental monitoring between ages 11–14. Findings: General growth mixture modelling identified two parental monitoring trajectories: (i) ‘stable’ class (84.9%) began with a high level of parental monitoring at age 11 that remained steady to age 14; (ii) ‘declining’ class (15.1%) began with a significantly lower level of parental monitoring at age 11 and experienced a significant to through age 14. The declining class had increased significantly unadjusted (OR = 1.91; 95% CI = 1.59, 2.23; P ≤ 0.001) and adjusted (aOR = 1.57; 95% CI = 1.24, 1.99; P = 0.01) odds of problem gambling compared with non-gambling. Conclusion: Low and/or declining parental monitoring of children between the ages of 11 and 14 is associated significantly with problem gambling when those children reach young adulthood

Implications of Middle School Behavior Problems for High School Graduation and Employment Outcomes of Young Adults: Estimation of a Recursive Model

The potentially serious adverse impacts of behavior problems during adolescence on employment outcomes in adulthood provide a key economic rationale for early intervention programs. However, the extent to which lower educational attainment accounts for the total impact of adolescent behavior problems on later employment remains unclear As an initial step in exploring this issue, we specify and estimate a recursive bivariate probit model that 1) relates middle school behavior problems to high school graduation and 2) models later employment in young adulthood as a function of these behavior problems and of high school graduation. Our model thus allows for both a direct effect of behavior problems on later employment as well as an indirect effect that operates via graduation from high school. Our empirical results, based on analysis of data from the NELS, suggest that the direct effects of externalizing behavior problems on later employment are not significant but that these problems have important indirect effects operating through high school graduation.

Transitions in Gambling Participation During Late Adolescence and Young Adulthood

Purpose: The purpose of this study was to examine transitions in gambling participation from late adolescence into emerging adulthood and to identify factors (i.e., gender, race, intervention status, lunch status, conduct disorder, parental monitoring, neighborhood environment, and substance use) that might influence these transitions. Methods: Markov modeling was used to describe the movement between past-year gambling states (i.e., nongambling and gambling) across 5 years. Annual data on the past-year gambling behavior and substance use were collected from 515 young men and women starting at the age of 17 years. Results: Past-year gambling declined from 51% prevalence at the age of 17 years to 21% prevalence at the age of 22 years. Participants who reported no past-year gambling at a particular annual assessment had more than an 80% probability of also reporting no past-year gambling at the following assessment. Men were 1.07–2.82 times more likely than women to transition from past-year nongambling to gambling year to year, and women were 1.27–5.26 times more likely than men to transition from past-year gambling to nongambling year to year. In addition, gender and past-year tobacco use interacted such that men who used tobacco were most likely (and men who did not use tobacco least likely) to gamble at baseline. Conclusions: Transition rates between gambling states appear to be relatively stable over time from late adolescence into emerging adulthood; however, men and those who engage in substance use may be at an increased risk of gambling participation

Transitions in Gambling Participation During Late Adolescence and Young Adulthood

Purpose: The purpose of this study was to examine transitions in gambling participation from late adolescence into emerging adulthood and to identify factors (i.e., gender, race, intervention status, lunch status, conduct disorder, parental monitoring, neighborhood environment, and substance use) that might influence these transitions. Methods: Markov modeling was used to describe the movement between past-year gambling states (i.e., nongambling and gambling) across 5 years. Annual data on the past-year gambling behavior and substance use were collected from 515 young men and women starting at the age of 17 years. Results: Past-year gambling declined from 51% prevalence at the age of 17 years to 21% prevalence at the age of 22 years. Participants who reported no past-year gambling at a particular annual assessment had more than an 80% probability of also reporting no past-year gambling at the following assessment. Men were 1.07–2.82 times more likely than women to transition from past-year nongambling to gambling year to year, and women were 1.27–5.26 times more likely than men to transition from past-year gambling to nongambling year to year. In addition, gender and past-year tobacco use interacted such that men who used tobacco were most likely (and men who did not use tobacco least likely) to gamble at baseline. Conclusions: Transition rates between gambling states appear to be relatively stable over time from late adolescence into emerging adulthood; however, men and those who engage in substance use may be at an increased risk of gambling participation