通过隐性类分析来区分大量使用大麻的人
Arturo Alvarez-Roldan1, Teresa García-Muñoz2, Juan F Gamella3
1Department of Social Anthropology, University of Granada, 18071, Granada, Spain. aalvarez@ugr.es.
Substance abuse treatment, prevention, and policy
|June 1, 2023
概括
严重的大麻使用者可以根据消费模式分为三个不同的组. 了解这些差异对于有针对性的降低伤害策略和预防工作至关重要.
科学领域:
- 大麻使用研究 大麻使用研究
- 药物成科学 药物成科学
- 公共卫生 公共卫生
背景情况:
- 每天或几乎每天使用大麻的剂量和频率差异很大.
- 消费模式影响体验到的影响和不良后果.
- 确定不同重度大麻使用者群体对于有针对性的干预措施至关重要.
研究的目的:
- 根据消费模式,确定不同重度大麻使用者群体.
- 分析与这些特定群体的成员身份相关的因素.
- 为大麻使用者提供减少伤害和预防策略的信息.
主要方法:
- 对380名西班牙居民使用大麻≥3天/周的横截面研究.
- 隐性类别分析 (LCA) 以消费强度 (频率,关节/天,剂量,时间) 的方式对用户进行分类.
- 多位数回归和统计测试 (ANOVA,千二) 识别相关因素.
主要成果:
- 确定了三个潜在类别:中度重量 (21.8%),重量 (68.2%) 和非常重量 (10%) 的用户.
- 非常沉重的用户是老年人,受教育程度较低,长期使用者.
- 与大麻有关的问题 (CAST分数) 在不同使用者群体中显著增加;非常重的使用者从俱乐部获得大麻.
结论:
- 严重的大麻使用者可以根据消费频率和数量分为三个不同的群体.
- 较高的大麻使用强度与增加的大麻相关问题相关.
- 针对不同重度大麻使用者个人资料,特别是大麻社交俱乐部内,需要量身定制的减伤和预防策略.
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