Social Media Intervention for Cannabis Use in Emerging Adults

项目摘要 大麻的使用在新兴成年人(EA)中构成了一个重要的公共健康问题，因为 大麻使用的可接受性和普及率，与州一级立法相结合，导致 增加合法大麻的获取。尽管有一些有希望的大麻干预方法可以 大学助教，大约一半的助教没有上大学。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。近几年来 与社交媒体的参与度大幅提高，大多数EA都访问社交媒体 平台每天多次，使EA暴露在在线同行影响下，这通常不会在 现有的干预计划。与社交媒体内容的高参与度提供了动态 让环境评估机构参与降低大麻风险干预措施的平台。拟议研究的具体目标 目的是：1)反复开发和重点测试为期8周的基于社交媒体的大麻使用干预 EAS和2)测试干预与为期8周的大麻控制条件的初步效果- 相关结果。我们将使用迭代过程来开发一个由社交媒体提供的为期8周的“秘密”小组 由同行教练提供的干预(即，站点上的其他“朋友”不能看到成员资格或内容) 使用EA中最流行的社交媒体平台(即Facebook)，内容跨其他平台推送 允许私密消息传递的平台(例如Twitter、Snapchat)。在之前工作的基础上，我们将开发吸引人的， 通过Amazon‘s Machine Turk进行众包的用户生成内容，然后进行迭代焦点测试 与会者来自娱乐性大麻合法和非法的州。干预措施 是否会利用同伴作为教练产生积极影响，这是可扩展的，考虑到学生的可用性 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)，混合基于证据的降低大麻风险的方法(例如，激励性访谈， 认知行为治疗策略)。开发的干预措施将在随机试点中进行测试 18-25岁青少年的对照试验和注意力-安慰剂对照(8周社交媒体新闻条件) 经常吸食大麻(即至少每周吸食一次)的紧急吸毒者。对于居住在以下地区的EA，分组将单独进行 有/没有合法娱乐用大麻的国家。结果将在3个月的后测和6- 一个月的随访，并对药物使用情况进行生物验证。与静态的基于Web的干预不同， 有限的保质期，开发适应、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 可通过改变环境保护剂的大麻使用轨迹产生重大影响，防止健康和社会 大麻使用障碍的后果和发展，以及告知未来的社交媒体 行为健康的干预措施。

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.