Student drinking during the college years can result in many adverse outcomes. Emotion-based decision-making (EBDM), or the use of emotional information to influence future plans and behavior, may lead to increased harmful consequences of alcohol. The current study examined both the number of types and total frequency of alcohol consequences as a function of EBDM. Undergraduate students from three large universities (n = 814) were assessed on EBDM and typical weekly drinking during their 2nd year of college, and alcohol-related consequences during their 2nd, 3rd, and 4th years. Alcohol-related consequences were operationalized both as unique types of consequences and total consequences experienced in the previous year. Latent growth modeling used EBDM in year 2 to predict unique and total alcohol consequences in years 2, 3, and 4. Students who endorsed higher levels of EBDM experienced a significantly increased total frequency of consequences over the three years, without differences in trajectory between students high and low on this construct. Participants with higher levels of EBDM experienced a significantly greater number of unique consequences at all time points, but these consequences increased at a significantly lower rate than individuals lower on this construct. Findings of this study indicate Emotion-Based Decision-Making may be a useful predictor of harmful consequences of student drinking over time.

学生在大学期间饮酒可能会导致许多不良后果。基于情绪的决策（EBDM），或使用情绪信息来影响未来的计划和行为，可能会导致酒精的有害后果增加。当前的研究考察了酒精后果的类型数量和总频率作为 EBDM 的函数。来自三所大型大学的本科生 (n = 814) 在大学第二年接受了 EBDM 和典型每周饮酒情况以及第二年、第三年和第四年与酒精相关的后果的评估。与酒精相关的后果被具体化为独特类型的后果和上一年经历的总体后果。潜在增长模型在第 2 年使用 EBDM 来预测第 2 年、第 3 年和第 4 年的独特和总体酒精后果。支持较高水平 EBDM 的学生在三年内经历了后果的总频率显着增加，学生之间的轨迹没有差异这个结构的高和低。 EBDM 水平较高的参与者在所有时间点都经历了明显更多的独特后果，但这些后果的增加速度明显低于此构造中较低水平的个体。这项研究的结果表明，基于情绪的决策可能是预测学生长期饮酒有害后果的有用指标。