ANALYSIS OF TEAM-BASED SUBSTANCE ABUSE PREVENTION

描述：(改编自《调查者摘要》) 续展建议是继续完成并发布对 一项关于校本合成代谢药物作用的前瞻性、随机研究 类固醇和其他药物使用预防方案，名为ATLAS(青少年 培训和学习避免类固醇)。阿特拉斯是一个基于社会影响力的 初级预防计划，旨在改变那些增加的因素 年轻运动员对使用合成类固醇的渴望。此外，营养和 提供了合成类固醇的力量训练替代品。该计划 以团队为中心，利用同行领导和教练发挥积极作用 同龄人的压力和角色塑造。一年后，对 自我报告的类固醇使用，使用类固醇的意图，营养行为，以及 观察到许多影响程序效果的中介因素。31俄勒冈州波特兰-地区高中 学校足球队被随机安排接受ATLAS计划(15级 学校)或有关使用类固醇的标准小册子。从1994年夏天开始 与队列1一起，总共有四个队列的所有足球运动员在这31个高 对学校进行了四年的测量--最后一次数据收集是在11月， 1997年。超过4000名受试者在这个多波纵向数据集中 包括问卷和人体测量(例如，身高、体重、体脂、 力量)措施。对项目的数据进行了收集、清理和合并 在赠款资金到期后五个月。没有新的数据收集 为这一延续提案制定了计划。 我们将把最新开发的统计方法和软件应用于 评估方案效果，调解分析以确定ATLAS如何 计划有效，主持人分析以确定计划所在的子组 最有效或最不有效的，以及病因学分析，以确定前驱疾病 类固醇和其他药物的使用。先进的统计方法，包括增长曲线 模型、混合模型、多中介模型、分层线性模型、 缺少的数据模型和分类数据的模型将应用于 多个浪，并跨越四个队列中的每一个。该计划的总体目的是 GRANT是使用先进的以及更常见的统计方法来提取 从这些数据中获取最重要的信息并发布结果。

DESCRIPTION: (adapted from Investigator's abstract) The purpose of this continuation proposal is to continue to complete and publish the evaluation of a prospective, randomized, study of the effects of the school-based anabolic steroid and other drug use prevention program, entitled ATLAS (Adolescents Training and Learning to Avoid Steroids). ATLAS is a social-influences based primary prevention program aimed at modifying those factors that increase the desire of young athletes to use anabolic steroids. In addition, nutrition and strength training alternatives to anabolic steroids are provided. The program uses peer leaders and coaches in a team-centered approach to exert positive peer pressure and role modeling. After one year, positive effects on self-reported steroid use, intentions to use steroids, nutrition behaviors, and many mediators of program effects were observed. 31 Portland, Oregon-area high school football teams were randomized to receive the ATLAS program (15 high schools) or a standard pamphlet on steroid use. Starting in the summer of 1994 with cohort 1, a total of four cohorts of all football players at these 31 high schools were measured for four years-- the last data collection was November, 1997. Over 4000 subjects are in this multiple wave longitudinal data set that includes questionnaire and anthropometric (e.g., height, weight, body fat, strength) measures. The data for the project were collected, cleaned and merged five months after funding for the grant expired. No new data collection is planned for this continuation proposal. We will apply recently developed statistical methods and software in the evaluation of program effects, mediation analysis to determine how the ATLAS program worked, moderator analysis to identify subgroups where the program is most or least effective, and etiological analysis to identify the precursors to steroid and other drug use. Advanced statistical methods including growth curve models, mixture models, multiple mediator models, hierarchical linear models, missing data models, and models for categorical data will be applied across multiple waves and across each of the four cohorts. The overall purpose of the grant is to use advanced as well as more common statistical methods to extract the maximum important information from these data and publish the results.