Addiction department, Hôpital Paul Brousse, APHP, 12 avenue Paul Vaillant-Couturier, 94804, Villejuif cedex, France.
Université Paris-Saclay, Univ. Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France.
Qual Life Res. 2018 Oct;27(10):2629-2637. doi: 10.1007/s11136-018-1923-3. Epub 2018 Jun 22.
The objective for this study was to combine drinking characteristics and two subjective measures, drinker identity and alcohol-related quality of life, i.e., negative impact of alcohol on quality of life, to determine relevant profiles for indicated prevention programs. In particular, we hypothesized that different profiles of students with high level of alcohol consumption exist when exploring subjectivity.
We performed an online survey among 16,930 students. We collected sociodemographics and environmental data, including alcohol-related quality of life, drinker identity, and drinking characteristics. We performed a hierarchical clustering on principal components. We described all variables in each cluster and explored between clusters differences by Kruskal-Wallis tests.
We identified five clusters as regarding drinker identity, drinking characteristics, and alcohol-related quality of life. Among these five clusters, three clusters presented high drinking characteristics. A very vulnerable cluster showed high level of alcohol consumption, impact on quality of life and on academic results, and strong drinker identity. An egodystonic cluster showed high level of consumption, mild impact on quality of life and on academic results, but low drinker identity. A cluster seemed short-term super-adapted in heavy drinking environment, showing high level of alcohol consumption and drinker identity, but low impact on quality of life and on academic results (all between clusters p values < 0.001 with Kruskal-Wallis tests).
The subjective experience of students from these clusters was significantly different (p value < 0.001), and could explain some inadequacy of certain prevention strategies, considering binge drinker student as a homogeneous group. Prospective studies are needed to explore changes over time of these clusters.
本研究的目的是将饮酒特征与两种主观测量方法（饮酒者身份和与酒精相关的生活质量，即酒精对生活质量的负面影响）相结合，以确定针对特定预防计划的相关特征。特别是，我们假设在探索主观性时，存在具有高水平饮酒的学生的不同特征。
我们对 16930 名学生进行了在线调查。我们收集了社会人口统计学和环境数据，包括与酒精相关的生活质量、饮酒者身份和饮酒特征。我们对主要成分进行了层次聚类。我们描述了每个集群中的所有变量，并通过 Kruskal-Wallis 检验探索了集群之间的差异。
我们确定了五个关于饮酒者身份、饮酒特征和与酒精相关的生活质量的集群。在这五个集群中，有三个集群表现出高水平的饮酒特征。一个非常脆弱的集群表现出高水平的饮酒量、对生活质量和学业成绩的影响以及强烈的饮酒者身份。一个自我失调的集群表现出高水平的消费、对生活质量和学业成绩的轻度影响，但饮酒者身份较低。一个集群似乎在重度饮酒环境中短期适应过度，表现出高水平的饮酒量和饮酒者身份，但对生活质量和学业成绩的影响较低（所有集群间 Kruskal-Wallis 检验 p 值均<0.001）。
这些集群学生的主观体验存在显著差异（p 值<0.001），这可能解释了某些预防策略的不足，因为将 binge drinker 学生视为同质群体。需要进行前瞻性研究来探索这些集群随时间的变化。
