Center of Alcohol Studies, Rutgers, The State University of New Jersey, 607 Allison Road, Piscataway, NJ 08854, United States.
Addict Behav. 2012 Apr;37(4):449-55. doi: 10.1016/j.addbeh.2011.12.005. Epub 2011 Dec 21.
Drinking-related protective (e.g., pacing consumption) and risk (e.g., participating in drinking games) behaviors influence both the amount of alcohol consumed and the consequences experienced by college students. Previous studies of these behaviors have typically examined use and predictors of these constructs separately. In the current study, latent profile analysis (LPA) was used to identify latent subgroups of drinkers with distinct patterns of use of both drinking-related protective and risk behaviors in a sample of college students. A random sample of first year student drinkers (N=229, 59.4% female) at a large, public university in the Northeastern United States completed a web-based assessment of drinking-related protective and risk behaviors, alcohol use, and related consequences. Three patterns of use were identified, including: 1) students who used protective behaviors frequently and seldom engaged in risk behaviors (10%), 2) students who used risk behaviors more frequently and used protective behaviors less often (30%), and 3) students who used both risk and protective behaviors at similar frequencies (60%). Significant differences in the distribution of profiles were observed when considering gender, age of onset of alcohol use, and recent drinking outcomes including weekend alcohol use, heavy-episodic drinking, and alcohol-related problems. Prevention and intervention programs may benefit from a focus on not only increasing protective actions, but on also reducing risk behaviors beyond that of quantity and frequency of alcohol use alone.
与饮酒相关的保护行为(例如,控制饮酒量)和风险行为(例如,参与饮酒游戏)会影响大学生的饮酒量和所经历的后果。先前对这些行为的研究通常分别检查这些结构的使用和预测因素。在当前的研究中,潜在剖面分析(LPA)用于在大学生样本中识别具有不同的与饮酒相关的保护和风险行为使用模式的饮酒者的潜在亚组。在美国东北部一所大型公立大学的随机抽取的一年级学生饮酒者(N=229,女性占 59.4%)完成了一项基于网络的与饮酒相关的保护和风险行为、饮酒量和相关后果的评估。确定了三种使用模式,包括:1)频繁使用保护行为且很少参与风险行为的学生(10%);2)经常使用风险行为且较少使用保护行为的学生(30%);3)以相似频率使用风险和保护行为的学生(60%)。当考虑性别、饮酒起始年龄和最近的饮酒结果(包括周末饮酒、重度饮酒和与酒精相关的问题)时,观察到了在分布模式方面的显著差异。预防和干预计划可能受益于不仅关注增加保护行为,而且关注减少风险行为,而不仅仅是关注饮酒量和频率。