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双过程决策模型检验大学生饮酒者中酒精所致昏迷与酒精使用障碍风险之间的纵向关联。

A Dual-Process Decision-Making Model Examining the Longitudinal Associations Between Alcohol-Induced Blackouts and Alcohol Use Disorder Risk Among College Student Drinkers.

机构信息

Department of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania.

Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania.

出版信息

J Stud Alcohol Drugs. 2024 Jan;85(1):73-83. doi: 10.15288/jsad.23-00063. Epub 2023 Sep 28.

Abstract

OBJECTIVE

The purpose of this study was to use a dual-process decision-making model to examine the longitudinal associations between alcohol-induced blackouts (blackouts) and alcohol use disorder (AUD) risk symptoms among college student drinkers.

METHOD

Undergraduate drinkers ( = 2,024; 56% female; 87% White; 5% Hispanic) at a large northeastern university completed online surveys each semester during their first (Time [T] 1, T2), second (T3, T4), third (T5, T6), and fourth (T7, T8) years of college (87% retention across the study). Path analyses were examined testing the longitudinal associations between T1 willingness to experience a blackout, T1 intentions to avoid a blackout, T2-T8 drinking, T2-T8 blackouts, and T8 AUD risk symptoms. Hypotheses 1 and 2 tested the associations between T1 willingness, T1 intentions, T2-T8 drinking, and T2-T8 blackouts. Hypothesis 3 tested the associations between T2-T8 drinking, T2-T8 blackouts, and T8 AUD risk symptoms.

RESULTS

Students experienced an average of 8 ( = 8) blackouts during college. Approximately 1,514 (88.8%) participants reported experiencing 1 of 8 AUD risk symptoms. T1 willingness was positively associated with T2-T8 blackouts. T2-T8 drinking and T2-T8 blackouts were positively associated with T8 AUD risk symptoms. T1 willingness significantly indirectly affected T8 AUD risk symptoms through its association with T2-T8 blackouts.

CONCLUSIONS

Results estimated that, on average, college student drinkers experienced eight blackouts across 4 years of college, and 88% of participants reported experiencing at least one symptom of AUD in the last semester of college. Willingness to experience a blackout influenced students' AUD risk symptoms through the number of blackouts they experienced throughout college.

摘要

目的

本研究旨在使用双过程决策模型来检验大学生饮酒者中酒精所致断片(断片)和酒精使用障碍(AUD)风险症状之间的纵向关联。

方法

在一所大型东北大学,本科生饮酒者(=2024;56%女性;87%白人;5%西班牙裔)在大学第一年(时间 [T]1、T2)、第二年(T3、T4)、第三年(T5、T6)和第四年(T7、T8)期间每学期完成在线调查(研究期间保留率为 87%)。路径分析检验了 T1 体验断片的意愿、T1 避免断片的意愿、T2-T8 饮酒、T2-T8 断片和 T8 AUD 风险症状之间的纵向关联。假设 1 和 2 检验了 T1 意愿、T1 意图、T2-T8 饮酒和 T2-T8 断片之间的关联。假设 3 检验了 T2-T8 饮酒、T2-T8 断片和 T8 AUD 风险症状之间的关联。

结果

学生在大学期间平均经历了 8 次(=8)断片。大约 1514 名(88.8%)参与者报告在大学最后一学期经历了 8 项 AUD 风险症状中的 1 项。T1 意愿与 T2-T8 断片呈正相关。T2-T8 饮酒和 T2-T8 断片与 T8 AUD 风险症状呈正相关。T1 意愿通过与 T2-T8 断片的关联,对 T8 AUD 风险症状有显著的间接影响。

结论

结果估计,平均而言,大学生饮酒者在 4 年的大学生活中经历了 8 次断片,88%的参与者在大学最后一学期报告了至少一种 AUD 症状。体验断片的意愿通过他们在整个大学期间经历的断片数量影响学生的 AUD 风险症状。

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本文引用的文献

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A risk algorithm that predicts alcohol use disorders among college students.一种预测大学生酒精使用障碍风险的算法。
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