Social Media Intervention for Cannabis Use in Emerging Adults

项目摘要 大麻的使用在新兴成年人中构成了一个重要的公共卫生问题， 大麻使用的可接受性和普遍性，加上州一级的立法， 增加获得法律的大麻的机会。虽然有一些有希望的大麻干预方法， 大学的EA，大约一半的EA不是在大学。此外，这些干预措施是在 美国8个州和哥伦比亚特区娱乐性大麻使用合法化。近年来 与社交媒体的互动显著增加，大多数EA都使用社交媒体 平台，使EA暴露于在线同行影响，这通常不会在 现有的干预方案。与社交媒体内容的高度互动提供了一个动态的 该平台旨在使环境机构参与减少大麻风险的干预措施。拟议研究的具体目标 （1）迭代开发和重点测试一项为期8周的基于社交媒体的大麻使用干预措施， EA和2）测试干预与大麻8周对照条件的初步疗效- 相关成果。我们将使用迭代过程来开发一个社交媒体交付的8周“秘密”组 干预（即，网站上的其他“朋友”不能看到会员资格或内容）由同行教练提供 使用EA中最受欢迎的社交媒体平台（即，Facebook），内容通过其他 允许私人消息传递的平台（例如，Twitter、Snapchat）。在以前工作的基础上，我们将开发具有吸引力的， 通过亚马逊的Mechanical Turk使用众包的用户生成内容，然后进行迭代焦点测试 参与者来自娱乐性大麻法律的和仍然非法的州。干预 将利用同龄人作为教练是积极的影响，这是可扩展的学生的可用性 并将侧重于大麻使用的“上游”因素，如使用动机（例如，压力/应对， 社会），混合基于证据的减少大麻风险的方法（例如，动机访谈， 认知行为治疗策略）。开发的干预措施将在一个随机的试点中进行测试。 在18-25岁人群中进行的对照试验与注意力安慰剂对照（8周社交媒体新闻条件） 经常使用大麻的EA（即，至少每周一次）。居住在以下地区的选举代理人将单独进行分组 有/没有法律的娱乐性大麻的州。将在3个月后测试和6个月后测试时测量结果。 随访1个月，对药物使用进行生物学验证。相对于静态的基于网络的干预措施， 有效期有限，制定一项适应性强、可扩展和有效的大麻使用干预措施 这是公共卫生努力减少大麻使用/后果的关键下一步。本研究 可能会通过改变EA的大麻使用轨迹，预防健康和社会影响， 大麻吸毒疾患的后果和发展，以及为今后的社交媒体提供信息 行为健康干预。

Project Summary Cannabis use poses an important public health problem among emerging adults (EAs), given increasing perceived acceptability and prevalence of cannabis use, combined with state-level legislation resulting in increased access to legal cannabis. Although there are some promising cannabis intervention approaches for college EAs, about half of EAs are not in college. Further, these interventions were developed prior to the legalization of recreational cannabis use in 8 U.S. states and the District of Columbia. In recent years engagement with social media has dramatically increased, with the majority of EAs accessing social media platforms multiple times per day, exposing EAs to online peer influences, which are generally not addressed in existing intervention programs. High levels of engagement with social media content provide a dynamic platform to engage EAs in interventions for cannabis risk reduction. The specific aims of the proposed study are to: 1) iteratively develop and focus test an 8-week social media-based intervention for cannabis use among EAs and 2) test the preliminary efficacy of the intervention versus a 8-week control condition on cannabis- related outcomes. We will use an iterative process to develop a social media-delivered 8-week “secret” group intervention (i.e., other “friends” on the site cannot see membership or content) delivered by peer coaches using the most popular social media platform among EAs (i.e., Facebook), with content pushed across other platforms allowing private messaging (e.g., Twitter, Snapchat). Based on prior work, we will develop engaging, user-generated content using crowdsourcing via Amazon's Mechanical Turk, followed by iterative focus testing with participants from states where recreational cannabis is legal and where it remains illegal. The intervention will harness peers as coaches to be positive influences, which is scalable given the availability of student trainees and will focus on “up-stream” factors for cannabis use such as motives for use (e.g., stress/coping, social), blending evidenced based approaches for cannabis risk reduction (e.g., motivational interviewing, cognitive behavioral therapy strategies). The developed intervention will be tested in a pilot randomized controlled trial versus an attention-placebo control (8-week social media news condition) among 18-25 year-old EAs who regularly use cannabis (i.e., at least weekly). Groups will be conducted separately for EAs residing in states with/without legal recreational cannabis. Outcomes will be measured at a 3-month post-test and 6- month follow-up, with biological verification of drug use. As opposed to static web-based interventions with limited shelf-life, the development of an adaptable, scalable and efficacious intervention for cannabis use among EAs is a critical next step in public health efforts to reduce cannabis use/consequences. This study could have significant impact by altering the cannabis use trajectories of EAs, preventing health and social consequences and the development of cannabis use disorders, as well as informing future social media interventions for behavioral health.