Department of Psychology, Auburn University, Auburn, Alabama.
J Stud Alcohol Drugs. 2019 Jan;80(1):26-31.
Previous research has demonstrated the utility of motivational models of cannabis use to predict the frequency of use and associated negative consequences. However, few existing studies have simultaneously investigated a range of motives across different measures of use-related problems, which limit the ability to assess the differential role various motives play. The purpose of the current study was to examine cannabis use motives as predictors of three measures of cannabis use risk.
Participants (N = 229) who reported cannabis use within the past 30 days completed the Marijuana Motives Measures, as well as measures of typical smoking behavior and risk: Cannabis Use Disorders Identification Test-R (CUDIT-R; screening measure of hazardous cannabis use), Marijuana Problem Index (MPI; measure of broad psychosocial problems), and cannabis use disorder according to criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).
Cannabis use motives-particularly coping, enhancement, and conformity-contributed to the prediction of cannabis-related impairment beyond gender and the frequency of recent use. Among the motives scales, coping emerged as the most robust predictor across the three impairment measures and was the only motive to add unique variance to predictions of DSM-5 symptoms. Enhancement and conformity motives were predictive of the screening measure (CUDIT-R scores), and enhancement motives was also predictive of a measure of broad psychosocial problems related to cannabis use (MPI scores).
The results highlight the differential role various marijuana use motives play across related but distinct measures of impairment.
先前的研究已经证明了使用动机模型来预测大麻使用频率和相关负面后果的有效性。然而,很少有现有研究同时调查了不同使用相关问题测量中一系列的动机,这限制了评估各种动机在不同作用的能力。本研究的目的是检验大麻使用动机作为三种大麻使用风险测量的预测因子。
在过去 30 天内报告使用大麻的参与者(N=229)完成了大麻动机测量,以及典型吸烟行为和风险的测量:大麻使用障碍识别测试-R(CUDIT-R;危险大麻使用的筛查测量)、大麻问题指数(MPI;广泛的心理社会问题测量),以及根据《精神障碍诊断和统计手册》第五版(DSM-5)标准诊断的大麻使用障碍。
大麻使用动机——特别是应对、增强和从众——除了性别和最近使用频率之外,还对大麻相关障碍的预测有贡献。在动机量表中,应对动机在三个障碍测量中是最具预测力的,也是唯一能为 DSM-5 症状预测增加独特方差的动机。增强和从众动机与筛查测量(CUDIT-R 评分)相关,而增强动机也与与大麻使用相关的广泛心理社会问题的测量(MPI 评分)相关。
结果强调了各种大麻使用动机在相关但不同的障碍测量中扮演的不同角色。