The primary aim of this project is to evaluate the effects of a comprehensive intervention to prevent severe and chronic conduct problems in a sample of children selected as high-risk when they first entered school. It is hypothesized that the intervention will have positive effects on proximal child behavior in middle school, and high school affecting long-term adolescent outcomes such as conduct disorder, juvenile delinquency, school dropout, substance use, teen pregnancy, relational competence with peers, romantic partners and parents, education and employment and social and community integration.

This study is a comprehensive intervention project designed to look at how children develop across their lives by providing academic tutoring and lessons in developing social skills and regulating their behaviors. There can be multiple stressors and influences on children and families that increase their risk levels. In such contexts, some families that experience marital conflict and instability can cause inconsistent and ineffective parenting. These children can sometimes enter school poorly prepared for the social, emotional, and cognitive demands of this setting. Often the child will then attend a school with a high number of other children who are similarly unprepared and are negatively influenced by disruptive classroom situations and punitive teacher practices. Over time, children in these circumstances tend to demonstrate particular behaviors, are rejected by families and peers, and tend to receive less support from teachers, further increasing aggressive exchanges and academic difficulties. Thus, this project is based on the hypothesis that improving child competencies, parenting effectiveness, school context and school-home communications will, over time, contribute to preventing certain behaviors across the period from early childhood through adolescence.

Four geographic sites were selected for the study: Durham, NC, a small city with a large low-income population that is primarily African American; Nashville, TN, a moderated-sized city with a mix of low-to-middle income and African American and European-American population; Seattle, WA, a moderate-sized city with a low-to-middle ethnically diverse population; and central PA, a mostly rural area with low-to-middle income European American population. These sites varied widely in ethnicity (most minorities were African American, with some Latino) and poverty (as measured by free/reduced lunch rates) as follows: Durham, NC, 90% minority and 80% reduced lunch; Nashville, TN, 54% minority and 78% reduced lunch; rural PA; 1% minority and 39% reduced lunch; and Seattle, WA, 52% minority and 46% reduced lunch. "High risk" schools within each site (12 in Durham, 9 in Nashville, 18 in PA, and 16 in Seattle) were selected based on crime and poverty statistics of the communities that they served. Within each site, schools were divided into one to three paired sets matched for demographics (size, percentage free or reduced lunch, and ethnic composition), and one set within each pair was randomly assigned to intervention and one to control condition. Students at these elementary schools moved into middle school at grade 5, 6 or 7. A multiple-gating screening procedure that combined teacher and parent ratings of disruptive behavior was applied to all kindergarteners across three cohorts (1991-93) in these 55 schools. Children were screened initially for classroom conduct problems by teachers, using the Teacher Observation of Child Adjustment-Revised (TOCA-R) Authority Acceptance Score. Those children scoring in the top 40% within cohort and site were then solicited for the next stage of screening for home behavior problems by the parents, using a novel 22-item instrument that included items from the Child Behavior Checklist (Achenbach, 1991a), the Revised Behavior Problem Checklist, and novel items that we created for this study. 91% (n=3,274) completed the home-behavior screen. The teacher and parent screening scores were then standardized within site, based on screening a representative sample of approximately 100 children within each site (which also served as a normative comparison), and then summed to yield a total severity-of-risk screen score. Children were selected for inclusion into this study based on this screen score, moving from the highest score downward until desired sample sizes were reached within sites, cohorts, and conditions. Exceptions to this inclusion rule were made when a child failed to matriculate in the first grade at a core school (n=59) or refused to participate (n=75), or to accommodate a superceding rule that no child would be the only female in an intervention group. The outcome was that three successive cohorts were recruited in 1991, 1992, and 1993 to yield a sample of 891 children (445 in the intervention group and 446 in the control group).

Inclusion Criteria:

• must be in public schools in 4 study sites
• must be in 1st grade

Exclusion Criteria:

• cannot be older than 1st grade
• could not score in the top 40% on the TOCA-R

The Fast Track Project is committed to a policy of allowing the research community access to data, under conditions that strictly protect the rights and privacy of Fast Track participants. The research design that has guided Fast Track data collection over the entire study period requires a restricted-use mechanism for sharing the data with the research community. As noted, the restricted-use data policy currently applies to data collected in grades K-12 and at ages 19, 20, 25, 32 and 34.

The full terms of the Fast Track data sharing plan and access criteria exceed the 1000 character limit. Full information about the data-use policy and application forms can be found at http://fasttrackproject.org/request-use-data.php

Time Frames will vary, depending on the individual research plan.

Eligibility of Investigators and Receiving Institutions In order to be considered eligible to receive Fast Track data, an investigator must have a Ph.D. or other terminal degree, and hold a faculty appointment or other research position at the receiving institution. Graduate students who wish to use Fast Track data for dissertation research must apply through their faculty advisors.

Eligible receiving institutions include not-for-profit research organizations, government agencies, and institutions of higher education. Receiving institutions must have established protocols for reviewing research using sensitive data, through an Institutional Review Board or equivalent body.