Background-The Good Behavior Game (GBG), a method of classroom behavior management used by teachers, was tested in first-and second-grade classrooms in 19 Baltimore City Public * Supplementary data on Cohort 2 and additional information on the Good Behavior Game intervention are available with the online version of this paper at http://dx.doi.org by entering doi: xxxxxxxx.Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Schools beginning in the 1985-1986 school year. The intervention was directed at the classroom as a whole to socialize children to the student role and reduce aggressive, disruptive behaviors, confirmed antecedents of later substance abuse and dependence disorders, smoking, and antisocial personality disorder. This article reports on impact to age 19-21. NIH Public AccessMethods-In five poor to lower-middle class, mainly African American urban areas, three or four schools were matched and within each set randomly assigned to one of three conditions: 1) GBG, 2) a curriculum-and-instruction program directed at reading achievement, or 3) the standard program. Balanced assignment of children to classrooms was made, and then, within intervention schools, classrooms and teachers were randomly assigned to intervention or control.Results-By young adulthood significant impact was found among males, particularly those in first grade who were more aggressive, disruptive, in reduced drug and alcohol abuse/dependence disorders, regular smoking, and antisocial personality disorder. These results underline the value of a first-grade universal prevention intervention.Replication-A replication was implemented with the next cohort of first-grade children with the same teachers during the following school year, but with diminished mentoring and monitoring of teachers. The results showed significant GBG impact for males on drug abuse/dependence disorders with some variation. For other outcomes the effects were generally smaller but in the same direction.

Randomized field trials provide unique opportunities to examine the effectiveness of an intervention in real world settings and to test and extend both theory of etiology and theory of intervention. These trials are designed not only to test for overall intervention impact but also to examine how impact varies as a function of individual level characteristics, context, and across time. Examination of such variation in impact requires analytical methods that take into account the trial's multiple nested structure and the evolving changes in outcomes over time. The models that we describe here merge multilevel modeling with growth modeling, allowing for variation in impact to be represented through discrete mixtures-growth mixture models-and nonparametric smooth functions-generalized additive mixed models. These methods are part of an emerging class of multilevel growth mixture models, and we illustrate these with models that examine overall impact and variation in impact. In this paper, we define intent-to-treat analyses in group-randomized multilevel field trials and discuss appropriate ways to identify, examine, and test for variation in impact without inflating the Type I error rate. We describe how to make causal inferences more robust to misspecification of covariates * Corresponding author. Tel.: +1 813 974 6672. E-mail address: hbrown@health.usf.edu (C.H. Brown). Conflict of InterestAuthor Muthén is a co-developer of Mplus, which is discussed in this paper. There are no conflicts of interest. in such analyses and how to summarize and present these interactive intervention effects clearly. Practical strategies for reducing model complexity, checking model fit, and handling missing data are discussed using six randomized field trials to show how these methods may be used across trials randomized at different levels. NIH Public Access

Caring for dependent relatives has become a normative challenge for families in the USA and throughout the world. The study objective was to examine the relationship of family caregiving responsibilities and the mental health and well-being of individuals, ages 18-24 years, referred to as emerging young adults. It was hypothesized that young adult caregivers with past and present responsibilities would report significantly more symptoms of depression and anxiety, have lower self-esteem, and use less adaptive coping styles than non-caregiving peers. The sample consisted of 353 undergraduates (81 past caregivers, 76 current/past caregivers, and 196 non-caregivers). Caregivers were also evaluated in terms of care recipients, duration of caregiving, tasks, and hours of effort. Caregivers had significantly higher levels of symptoms of depression and anxiety than non-caregivers. Research to clarify how caregiving interacts with other stressors in emerging young adults and influences behavioral health should be a priority.

Background-The Good Behavior Game (GBG) is a classroom behavior management strategy focused on socializing children to the role of student and aimed at reducing early aggressive, disruptive behavior, a confirmed antecedent to service use. The GBG was tested in a randomized field trial in 19 elementary schools in two cohorts of children as they attended first and second grades. This article reports on the impact of the GBG on service use through young adulthood.Methods-Three or four schools in each of five urban areas were matched and randomly assigned to one of three conditions: 1) GBG, 2) an intervention aimed at academic achievement, or 3) the standard program of the school system. Children were assigned to classrooms to ensure balance, and teachers and classrooms were randomly assigned to intervention conditions.Results-This study provides evidence of a positive impact of a universal preventive intervention on later service use by males, although not by females, for problems with emotions, behavior, or drugs or alcohol. For both cohorts, males in GBG classrooms who had been rated as highly aggressive, disruptive by their teachers in the fall of first grade had a lower rate of school-based service use than their counterparts in control classrooms.Phone: 410-347-8553, Email: jpoduska@air.org. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Replication-The design employed two cohorts of students. Although both first-and second-grade teachers received less training and support with the second cohorts of students than with the first cohort, the impact of GBG was similar across both cohorts. NIH Public Access KeywordsGood Behavior Game; developmental epidemiology; universal prevention; classroom behavior management; aggressive behavior; mental health service use

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