使用隐性类分析来检查10-18岁青少年的多物质使用模式:系统性审查
Neha Skandan1, Martin Hochheimer1, Jacob White2
1Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Addictive behaviors
|February 15, 2025
概括
青少年使用多种物质的模式在不同研究中存在很大差异. 隐性类别分析中更大的样本大小与更为识别的物质使用模式相关,但方法和物质选择显著影响结果.
科学领域:
- 精神病学和行为科学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 药物使用障碍 (SUD) 经常起源于青春期,超过一半的病例发生在这个关键时期.
- 隐性类分析 (LCA) 是一种用于识别青少年多种物质使用的不同模式的统计方法.
研究的目的:
- 系统地审查和描述有关青少年多重物质使用模式的现有研究.
- 为青少年多重物质使用研究领域的方法和发现提供最新的概述.
主要方法:
- 系统性审查侧重于青少年样本研究 (平均年龄高达18岁).
- 分析了54项研究,检查了样本大小,物质数量和提取的潜在类别的变化.
- 评估样本特征与已识别的潜在类数量之间的统计关联.
主要成果:
- 大多数研究是在美国进行的,在样本大小,指标物质和潜在类数量方面存在显著的异质性.
- 更大的样本大小与更多的提取的潜在类相关 (斯皮尔曼的rho = .274,p = .022).
- 贝叶斯信息标准是隐性类型模型中最常用的统计匹配指数.
结论:
- 在研究方法,LCA解决方案和青少年多重物质使用的统计方法中存在显著的异质性.
- 专注于特定人群的研究确定了涉及不太常见物质的模式.
- 未来的研究应该扩大指标物质的范围,并考虑多种物质使用模式的地理影响.
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