研究学校药物课程与学生药物使用之间的关联:对信息集群规模的考虑
Aya A Mitani1, Yushu Zou1, Scott T Leatherdale2
1Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Epidemiologic methods
|August 27, 2025
概括
根据学校的大小,学校为青少年吸毒的方案可能会产生不同的结果. 对信息集群大小 (ICS) 的多变量分析对于准确的学生物质行为发现至关重要.
科学领域:
- 公共卫生
- 生物统计学
- 青少年的健康
背景情况:
- 在加拿大,青少年吸毒问题越来越严重.
- 针对学生物质使用的学校计划已实施,但其有效性尚未确定.
- 学校的多物质使用数据可能会受到信息集群大小 (ICS) 的影响.
研究的目的:
- 为了确定多变量分析,考虑到ICS,与单变量分析相比,产生不同的结论.
- 比较分析方法来估计学校药物计划与青少年药物使用行为之间的关联.
- 研究信息集群大小对学生多种物质使用数据分析的影响.
主要方法:
- 使用了2018/2019年大麻,肥胖,心理健康,体力活动,酒精,吸烟和久坐行为 (COMPASS) 研究的数据.
- 对比了四种分析方法:单变量通用估计方程 (GEE),单变量集群加权GEE (CWGEE),多变量GEE和多变量CWGEE.
- 研究了学校吸毒计划与过度饮酒,大麻,电子烟和烟草使用之间的联系.
主要成果:
- 在较小的学校,学生吸毒率较高,在较大的学校,吸毒率较低.
- 单变量和多变量分析通常产生可比的结果,但CWGEE和GEE之间存在差异.
- 多变量CWGEE表明大麻计划与减少物质使用之间存在显著的关联 (OR 0.83;95% CI 0.73,0.95),而GEE则显示无关联 (OR 0.92;95% CI 0.79,1.07).
结论:
- 聚类学校数据中的信息集群大小 (ICS) 可能导致加权和未加权分析的结果不同.
- 需要仔细考虑集群规模与结果之间的关系,并采用适当的分析方法.
- 多变量方法对于研究青少年物质使用至关重要,因为学校课程可能会影响多种物质行为.
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