a Department of Psychology , University of North Texas , Denton , Texas , USA.
b Department of Preventive Medicine, Center for Behavioral Intervention Technologies , Northwestern University , Chicago , Illinois , USA.
Subst Use Misuse. 2019;54(9):1485-1498. doi: 10.1080/10826084.2019.1588325. Epub 2019 Apr 24.
: Given that marijuana use is often associated with detrimental physical and mental health problems, research examining motives for its use is critical for effective remedial and preventive treatment. To date, the majority of research on marijuana use motives has used variable-centered analyses, which overlooks potentially meaningful heterogeneous response patterns and the associations of those patterns with other risk/protective factors. : To address this gap, in the current study, we conducted a person-centered analysis (latent profile analysis) to identify subgroups of participants based on endorsed marijuana use motives, and examined the construct validity of the optimal class solution (covariates included sociodemographic (e.g., age), psychiatric (e.g., depression), and marijuana-use indices (e.g., use-frequency, use-related problems). Participants were 898 college students ( = 20.93, = 3.10; 68.9% female) who completed an anonymous online survey examining substance use and psychological well-being, were 18 years or older, and endorsed lifetime marijuana use. Data were collected November 2016 through February 2018. : Results identified four unique classes of coping, conformity, social, and enhancement marijuana use motives: (a) "Low Motives" (37.6%), (b) "High Conformity" (4.9%), (c) "Low Conformity" (45.8%), and (d) "High Motives" (11.7%). In terms of covariates, higher motive classes tended to report more frequent and problematic use. The two classes uniquely characterized by conformity motives only differed on past-month marijuana use frequency. : The current findings provide evidence that specific classes of motives were not only associated with marijuana use frequency and problems but other risk and protective factors, such as anxiety sensitivity and social support.
鉴于大麻的使用常常与身体和心理健康问题有关,因此研究其使用动机对于有效的治疗和预防措施至关重要。迄今为止,大多数关于大麻使用动机的研究都使用了变量中心分析,而这种方法忽略了潜在有意义的异质反应模式以及这些模式与其他风险/保护因素的关联。为了解决这一差距,在当前的研究中,我们进行了一项基于个体的分析(潜在剖面分析),根据被认可的大麻使用动机对参与者进行分组,并考察了最佳类别解决方案的构念效度(包括社会人口统计学(例如,年龄)、精神疾病(例如,抑郁)和大麻使用指数(例如,使用频率、与使用相关的问题)等协变量)。参与者为 898 名大学生( = 20.93, = 3.10;68.9%为女性),他们完成了一项匿名在线调查,内容涉及物质使用和心理健康,年龄在 18 岁及以上,且报告有终生大麻使用史。数据收集于 2016 年 11 月至 2018 年 2 月。结果确定了四种独特的大麻使用动机类别:应对、从众、社交和增强型:(a)“低动机”(37.6%)、(b)“高从众”(4.9%)、(c)“低从众”(45.8%)和(d)“高动机”(11.7%)。就协变量而言,较高的动机类别往往报告更频繁和更具问题性的使用。仅以从众动机为特征的两个类别仅在过去一个月的大麻使用频率上有所不同。目前的研究结果表明,特定类别的动机不仅与大麻使用频率和问题有关,还与其他风险和保护因素有关,例如焦虑敏感性和社会支持。