Department of Psychology, Boston University, 648 Beacon St., Boston, MA 02215, United States.
Department of Community Health Sciences, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA, United States.
Addict Behav. 2014 Sep;39(9):1346-52. doi: 10.1016/j.addbeh.2014.04.025. Epub 2014 May 9.
This pilot study sought to test the feasibility of procedures to screen students for marijuana use in Student Health Services (SHS) and test the efficacy of a web-based intervention designed to reduce marijuana use and consequences. Students were asked to participate in voluntary screening of health behaviors upon arrival at SHS. One hundred and twenty-three students who used marijuana at least monthly completed assessments and were randomized to one of four intervention conditions in a 2 (intervention: Marijuana eCHECKUP TO GO vs. control)×2 (site of intervention: on-site vs. off-site) between-groups design. Follow-up assessments were conducted online at 3 and 6 months. Latent growth modeling was used to provide effect size estimates for the influence of intervention on outcomes. One thousand and eighty undergraduate students completed screening. The intervention did not influence marijuana use frequency. However, there was evidence of a small overall intervention effect on marijuana-related consequences and a medium effect in stratified analyses in the on-site condition. Analyses of psychological variables showed that the intervention significantly reduced perceived norms regarding peer marijuana use. These findings demonstrate that it is feasible to identify marijuana users in SHS and deliver an automated web-based intervention to these students in different contexts. Effect size estimates suggest that the intervention has some promise as a means of correcting misperceptions of marijuana use norms and reducing marijuana-related consequences. Future work should test the efficacy of this intervention in a full scale randomized controlled trial.
本初步研究旨在检验在学生健康服务中心(SHS)中筛查学生大麻使用情况的程序的可行性,并测试一种旨在减少大麻使用和后果的基于网络的干预措施的效果。学生在到达 SHS 时被要求参与健康行为的自愿筛查。123 名每月至少使用一次大麻的学生完成了评估,并被随机分配到 2(干预:大麻电子检测与去 vs. 对照组)×2(干预地点:现场 vs. 非现场)的四组干预条件中。在 3 个月和 6 个月时进行在线随访评估。潜增长模型用于提供干预对结果的影响的效应大小估计。1080 名本科生完成了筛查。该干预措施并未影响大麻使用频率。然而,有证据表明,在现场条件下,干预对大麻相关后果有总体较小的影响,在分层分析中则有中等影响。对心理变量的分析表明,该干预措施显著降低了对同伴大麻使用的感知规范。这些发现表明,在 SHS 中识别大麻使用者并在不同环境下向这些学生提供自动化的基于网络的干预措施是可行的。效应大小估计表明,该干预措施有一定的希望,可用于纠正对大麻使用规范的误解并减少大麻相关后果。未来的工作应该在一项全面的随机对照试验中测试该干预措施的疗效。