Substance Use Research Group (SURG), Department of Psychology, The University of Central Florida.
Exp Clin Psychopharmacol. 2020 Dec;28(6):622-631. doi: 10.1037/pha0000346. Epub 2020 Jan 20.
Alcohol expectancies have been linked to the development of alcohol pathology. Research has shown college drinkers can be classified into unique drinking profiles that vary by use and related problems. The current study examines paths of alcohol expectancy activation as a function of drinking profile. College student drinkers (n = 1,226; 60.77% female) completed assessments of alcohol involvement and alcohol expectancies. Latent profile analysis (LPA) was used to classify drinking profiles. Multidimensional scaling (MDS) techniques were then applied to examine differences in the likely activation of alcohol expectancies as a function of drinking profile. LPA identified 6 classes of college student drinkers: light drinkers with minor problems, moderate drinkers with mild problems, moderate drinkers with severe problems, heavy drinkers with mild problems, heavy drinkers with severe problems, and heavy drinkers with physical dependence. MDS was used to develop a hypothetical memory network of alcohol expectancies. Preference mapping was then used to plot paths of expectancy activation through the hypothetical memory network for each drinking profile. Light drinkers showed expectancy activation along a prosocial-antisocial dimension. As use patterns became increasingly pathological, paths of activation shifted toward arousal-sedation. The shift in activation paths from prosocial-antisocial to arousal-sedation was driven more by alcohol-related pathology than by consumption. This suggests that individuals high in arousal-sedation expectancies may be at an increased risk for more severe alcohol pathology. Further, individuals high in arousal-sedation expectancies may benefit most from programs that restructure expectancy pathways away from arousal-sedation. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
酒精预期与酒精病理学的发展有关。研究表明，大学生饮酒者可以分为独特的饮酒模式，这些模式因使用和相关问题而异。本研究考察了作为饮酒模式的函数的酒精预期激活的路径。大学生饮酒者（n=1226；60.77%为女性）完成了酒精参与和酒精预期的评估。潜在剖面分析（LPA）用于对饮酒模式进行分类。然后应用多维标度（MDS）技术来检验不同饮酒模式下酒精预期的可能激活差异。LPA 确定了 6 类大学生饮酒者：轻度饮酒且问题较小者、中度饮酒且轻度问题者、中度饮酒且严重问题者、重度饮酒且轻度问题者、重度饮酒且严重问题者和重度饮酒且身体依赖者。MDS 用于开发酒精预期的假设记忆网络。然后使用偏好映射来绘制每个饮酒模式的预期激活路径。轻度饮酒者沿着亲社会-反社会维度显示预期激活。随着使用模式变得越来越病态，激活路径向兴奋-镇静转移。从亲社会-反社会到兴奋-镇静的激活路径的转变更多地是由与酒精相关的病理而不是由消费驱动的。这表明，高兴奋-镇静预期的个体可能面临更严重的酒精病理风险增加。此外，高兴奋-镇静预期的个体可能会从改变预期路径远离兴奋-镇静的项目中受益最多。（PsycInfo 数据库记录（c）2020 APA，保留所有权利）。
