Department of Psychiatry, Center for Addiction Medicine, Massachusetts General Hospital.
Psychol Assess. 2023 Aug;35(8):659-673. doi: 10.1037/pas0001244. Epub 2023 Jun 8.
The use of cannabis for medical symptoms is increasing despite limited evidence for its efficacy. Expectancies-prior beliefs about a substance or medicine-can modulate use patterns and effects of medicines on target symptoms. To our knowledge, cannabis expectancies have not been studied for their predictive value for symptom relief. The 21-item Cannabis Effects Expectancy Questionnaire-Medical (CEEQ-M) is the first longitudinally validated measure of expectancies for cannabis used for medical symptoms. The questionnaire was developed for a randomized clinical trial of the effect of state cannabis registration (SCR) card ownership on symptoms of pain, insomnia, anxiety, and depression in adults ( = 269 across six questionnaire administrations). Item-level analyses ( = 188) demonstrated between-person stability of expectancies and no aggregate, within-person expectancy changes 3 months after individuals gained access to SCR cards. Exploratory factor analysis ( = 269) indicated a two-factor structure. Confirmatory factor analysis at a later timepoint ( = 193) demonstrated good fit and scalar invariance of the measurement model. Cross-lagged panel models across 3 and 12 months ( = 187 and 161, respectively) indicated that CEEQ-M-measured expectancies did not predict changes in self-reported cannabis use; symptoms of pain, insomnia, anxiety, and depression; and well-being. However, greater baseline cannabis use predicted more positive expectancy changes. The findings suggest that the CEEQ-M is psychometrically sound. Future work should clarify at what timescales cannabis expectancies have predictive value and how cannabis expectancies for medical symptoms are maintained and diverge from other substance use expectancies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
尽管大麻在医学上的疗效证据有限,但人们对其治疗医学症状的用途的需求仍在不断增加。期望——对一种物质或药物的先入之见——可以调节药物的使用模式和对目标症状的影响。据我们所知,尚未研究大麻期望对缓解症状的预测价值。21 项大麻效应期望问卷-医学版(CEEQ-M)是第一个用于测量用于治疗医学症状的大麻期望的纵向验证测量工具。该问卷是为一项关于州级大麻登记(SCR)卡拥有对成年人疼痛、失眠、焦虑和抑郁症状影响的随机临床试验而开发的(六个问卷管理共 269 人)。个体获得 SCR 卡后 3 个月,对其进行的个体间分析(=188)显示,期望具有个体间稳定性,不存在总体内期望变化。探索性因素分析(=269)表明存在两因素结构。稍后的验证性因素分析(=193)表明测量模型具有良好的拟合度和标度不变性。3 个月和 12 个月的交叉滞后面板模型(分别为=187 和=161)表明,CEEQ-M 测量的期望并不能预测自我报告的大麻使用量、疼痛、失眠、焦虑和抑郁症状以及幸福感的变化。然而,基线大麻使用量越大,预期变化越积极。研究结果表明,CEEQ-M 在心理测量学上是合理的。未来的研究应阐明大麻期望在何时具有预测价值,以及如何维持和偏离其他物质使用期望的医学症状的大麻期望。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。