Understanding and Preventing Childhood Drug Use Risk

了解和预防儿童吸毒风险

基本信息

批准号：
7473559
负责人：
Melvin N. Wilson
金额：
$ 65.93万
依托单位：
UNIVERSITY OF VIRGINIA
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-05-01 至 2013-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7473559
关键词：
Academic achievement Accounting Address Adolescence Adolescent Affect African American Age Aggressive behavior All Sites American Anxiety Anxiety Disorders Attention Behavior Behavioral Behavioral inhibition Budgets Caregivers Case Management Characteristics Child Child Development Child Mental Health Child Nutrition Childhood Clinical Code Collaborations Communication Communities Comorbidity Competence Conflict (Psychology)Consensus Consult Consultations Control Groups Data Data Analyses Data Collection Data Set Decision Making Development Dimensions Discrimination Disruption Disruptive Behavior Disorder Distress Documentation Drug usage Early Intervention Education Educational Intervention Effectiveness Effectiveness of Interventions Elements Emotions Ensure Environment Environmental Impact Environmental Risk Factor Ethnic Origin European Family Family Characteristics Family Study Fathers Feedback Funding Future Gender Generations Gills Growth HIV Head Health Home environment Home visitation Horns House Call Individual Infant Informal Social Control Intervention Intervention Studies Intervention Trial Joints Laboratories Latino Lead Leadership Link Location Longitudinal Studies Low income Manuals Measurement Measures Mediating Mediation Mental Depression Mental Health Mental disorders Methodology Methods Minority Modeling Monitor Nature Numbers Oregon Outcome Outcomes Research Paper Parenting behavior Parents Pattern Pennsylvania Performance Phase Policies Poverty Predictive Value Prevention Principal Investigator Probability Problem behavior Procedures Process Production Protocols documentation Psychology Public Health Publications Randomized Range Rate Readiness Reading Recruitment Activity Relative (related person)Reporting Research Research Infrastructure Research Personnel Risk Risk Behaviors Risk Factors Risk Reduction Role Rural Sampling Schedule School-Age Population Schools Science Scientist Self-control as a personality trait Series Services Siblings Site Speech Stress Structure System Techniques Telephone Temperament Testing Time Training Translating United Kingdom Universities Videoconferences Videoconferencing Videotape Virginia Week Woman Work adolescent drug use anti social base checkup examination clinically significant contextual factors cost design deviant dissemination research early childhood early onset early onset drug use elementary school emotional adjustment emotional distress experience family management high risk sexual behavior improved literacy maternal depression member parent project peer prevent prognostic programs service intervention skills social staff intervention success symposium synergism therapy design

项目摘要

DESCRIPTION (provided by applicant): The revised application proposes a five-year extension of the Early Steps Multisite Project (ES-M) focused on Understanding and Preventing Childhood Drug Use Risk. The ES-M project is a collaboration of the Child and Family Center at the University of Oregon (Dishion), the University of Pittsburgh (Shaw), and the University of Virginia (Wilson). During its first five years the project exceeded expected recruitment rates (731), maintained high retention rates (85%), successfully engaged families in our family-intervention model, and produced reductions in problem behavior and emotion distress in children from ages 2 to 4 years. We have found that improvements in children's adjustment were mediated by improved family management practices. In the next five years we propose to adapt the family intervention model to provide support for each child's transition into the public school system, and conduct developmental analyses to better understand early emergence of school competence, early deviant peer involvement problem behavior, and emotion distress. We will also address the role of siblings in children's development and as an intervention outcome variable. Biannual intensive assessments are proposed that include home visits and direct observations, as well as yearly assessments of the child's problem behavior and self-regulation in the family context. This assessment builds on an existing multiagent-multimethod assessment strategy across all three sites that has included yearly direct observations as well as measurement of child and family characteristics. We propose that the study will test the effectiveness of a feasible, cost-effective, family-centered intervention that can be initiated within WIC or similar service settings and be continued and maintained in the public school environment. In addition, the data set affords a rich opportunity to link caregiver engagement in the intervention with child and family outcomes. The net effect of this family-centered, early intervention strategy is significant reduction of risk for early-onset problem behavior, improved school competence, reduction in children's mental health disorders, and reductions in risk for drug use from age 2 to 10. Advancements in multivariate data analysis such as general growth mixture modeling will be used to study the environmental factors associated with the formation of health and of high-risk developmental trajectories, as well as to determine the effectiveness of the family intervention in altering those trajectories.

描述（由申请人提供）：修订后的申请提出了针对理解和预防儿童毒品使用风险的早期步骤项目（ES-M）的五年延长。 ES-M项目是俄勒冈大学（Dishion），匹兹堡大学（Shaw）和弗吉尼亚大学（Wilson）的儿童和家庭中心的合作。在最初的五年中，该项目超过了预期的招聘率（731），保持较高的保留率（85％），成功地参与了我们家庭干预模型，并减少了2至4岁儿童的问题行为和情绪困扰。我们发现，改善家庭管理惯例可以改善儿童调整的改善。在接下来的五年中，我们建议调整家庭干预模型，以为每个孩子过渡到公立学校系统提供支持，并进行发展分析，以更好地了解学校能力的早期出现，早期的同伴参与问题问题行为和情绪困扰。我们还将解决兄弟姐妹在儿童发育中的作用，并作为干预结果变量。提出了两年一次的密集评估，包括家庭访问和直接观察，以及对孩子的问题行为和家庭背景下的自我调节的年度评估。这项评估基于在所有三个地点的现有多种多样的评估策略上，包括年度直接观察以及对儿童和家庭特征的测量。我们建议该研究将测试可在WIC或类似服务环境中启动的可行，具有成本效益，以家庭为中心的干预措施的有效性，并在公立学校环境中继续和维护。此外，数据集为与儿童和家庭成果的干预联系起来，提供了一个很大的机会。这种以家庭为中心的早期干预策略的净影响大大降低了早期发作的问题行为的风险，改善学校能力，减少儿童精神健康疾病的降低以及降低药物使用的风险从2岁到10岁到10岁。多变量数据分析的进步。改变这些轨迹。