Ringwald Whitney R, Creswell Kasey G, Low Carissa A, Doryab Afsaneh, Chung Tammy, Oliva Junier B, Fisher Zachary F, Gates Kathleen M, Wright Aidan G C
Department of Psychology, University of Minnesota, Twin Cities.
Department of Psychology, Carnegie Mellon University.
Psychol Addict Behav. 2025 Jan 9. doi: 10.1037/adb0001055.
Alcohol use offers social benefits for young adults, but also carries risk of significant negative consequences. Better understanding of processes driving alcohol use for those who experience negative consequences can prevent these harms. These at-risk young adults likely have drinking patterns in common and patterns unique to each individual. Evidence for these processes have been limited by methods that fail to capture the complex, heterogeneous, multivariate nature of drinking. We overcome these limitations with idiographic computational models.
We studied a sample of 97 young adults who regularly binge drink and experience negative drinking consequences. Participants completed daily surveys for 120 days. We estimated temporal networks of each person's drinking patterns by searching all possible dynamic relations among self-reported alcohol consumption and various cognitive, motivational, and emotional constructs. This method allowed us to identify common and uncommon drinking processes in a data-driven manner.
We found clear patterns of drinking characteristic of this population (i.e., shared by 60%-100% of the sample) in which young adults drink more per occasion, when they expect positive outcomes and are motivated to get drunk and enhance social experiences, which leads to positive and negative consequences. We also identified subsets of participants with uncommon (i.e., shared by < 51% of the sample) drinking patterns.
Most young adults may continue to drink despite experiencing negative drinking consequences, because it also satisfies their desire for fun and social connection. Additionally, subsets of young adults have relatively uncommon drinking patterns that may reflect risk or resilience factors. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
饮酒对年轻人有社交益处，但也存在产生重大负面后果的风险。更好地理解那些经历负面后果的人饮酒的驱动过程可以预防这些危害。这些高危年轻人可能有共同的饮酒模式以及每个人独特的模式。由于未能捕捉到饮酒复杂、异质、多变量性质的方法，这些过程的证据一直有限。我们用个性化计算模型克服了这些局限性。
我们研究了97名经常暴饮暴食且经历饮酒负面后果的年轻人样本。参与者连续120天每天完成调查。通过搜索自我报告的酒精摄入量与各种认知、动机和情感结构之间所有可能的动态关系，我们估计了每个人饮酒模式的时间网络。这种方法使我们能够以数据驱动的方式识别常见和不常见的饮酒过程。
我们发现了该人群典型的饮酒模式（即样本中60%-100%的人共有），即年轻人在预期有积极结果且有动机喝醉并增强社交体验时，每次饮酒量更多，这会导致正面和负面后果。我们还识别出了具有不常见（即样本中<51%的人共有）饮酒模式的参与者子集。
大多数年轻人尽管经历了饮酒的负面后果，可能仍会继续饮酒，因为饮酒也满足了他们对乐趣和社交联系的渴望。此外，一部分年轻人有相对不常见的饮酒模式，这可能反映了风险或恢复力因素。（《心理学文摘数据库记录》（c）2025美国心理学会，保留所有权利）
