每日网络调查数据收集时间变化的大麻使用动机和背景,对适应性干预有影响:试点研究
Yongchao Ma1, Brady T West1, Sean Esteban McCabe2
1Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, United States.
Drug and alcohol dependence
|November 30, 2025
概括
监测日常使用大麻的动机,特别是与睡眠或可用性相关的动机,可以帮助预测使用量增加和不良结果. 这种理解支持为经常使用大麻的人提供个性化干预措施.
科学领域:
- 成研究研究成研究
- 行为科学是一种行为科学.
- 公共卫生 公共卫生
背景情况:
- 美国每日大麻使用量不断增加,需要了解大麻使用障碍等不良结果.
- 适应性干预通过使用自我报告的大麻使用动机来个性化支持.
- 在不同时间段 (每天,每月,每年) 收集的动机预测大麻使用频率和负面结果.
研究的目的:
- 在28天的时间内分析非医疗大麻使用的日常动机和背景.
- 识别潜伏动机类中的转变及其与大麻使用频率的关联.
- 告知适应性干预措施,以防止大麻使用的不良结果.
主要方法:
- 一项为期28天的每日网络调查评估了非医疗大麻使用的动机和背景.
- 参与者 (N=48,年龄22-76) 完成了基线和后续调查.
- 用随机拦截 (RI-LTA) 进行潜伏过渡分析用于数据分析.
主要成果:
- 确定了四种类型的每周潜伏动机类型过渡,其中明显转向睡眠辅助和大麻可用性动机.
- 转向睡眠辅助和可用性动机的转变与随后更高的大麻使用频率相关.
- 背景数据显示,大麻用于睡眠障碍,与压力相关的焦虑和医疗后治疗恢复.
结论:
- 短期监测大麻使用动机和背景对干预有价值.
- 这种监测可以指导适应性干预的时间和内容.
- 需要对更大样本进行进一步的研究,以复制这些发现.
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