Using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) to Predict Gambling Disorder Among U.S. College Students.

IF 2.4 3区 心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY
Journal of Gambling Studies Pub Date : 2024-09-01 Epub Date: 2024-02-15 DOI:10.1007/s10899-024-10283-w
Fares Qeadan, Jamie Egbert, Benjamin Tingey, Abigail Plum, Tatiana Pasewark
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引用次数: 0

Abstract

The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) screening tool has not previously been used to evaluate risk for gambling disorder (GD). We aimed to assess the level at which each specific substance involvement score (SSIS), measured by ASSIST, most optimally predicted GD among U.S. college students. Data were analyzed for 141,769 students from the National College Health Assessment (fall 2019-spring 2021) utilizing multivariable logistic regression models. Sensitivities and specificities were utilized to find optimal cutoffs that best identified those with GD, overall and by biological sex and age group. Lower threshold of substance risk related to prescription opioids, cocaine, and hallucinogens (all with SSIS cutoffs of 4) predicts gambling disorder compared to sedatives (SSIS cutoff of 19). Younger students had lower thresholds of substance risk predicting GD than older students for heroin, but for all other substance classifications students 25 years and older had lower thresholds of SSIS predicting GD than students 18-24 years old. This study aids in the understanding that substance use behavior may put students at risk for other addictive behaviors such as GD. This study is the first to utilize the ASSIST tool to predict GD among U.S. college students, extending its application beyond substance use disorders. The identification of optimal cutoffs for each SSIS provides a novel approach to concurrently screen for GD and substance use disorders. This unique contribution could enhance early detection and intervention strategies for GD in the college student population.

使用酗酒、吸烟和物质参与筛查测试 (ASSIST) 预测美国大学生的赌博障碍。
酒精、吸烟和物质参与筛查测试(ASSIST)筛查工具以前从未用于评估赌博障碍(GD)的风险。我们的目的是评估通过 ASSIST 测定的每种特定物质参与得分(SSIS)在多大程度上最能预测美国大学生的 GD。我们利用多变量逻辑回归模型分析了全国大学生健康评估(2019 年秋季至 2021 年春季)中 141769 名学生的数据。利用灵敏度和特异性找到了最佳临界值,以便从整体上以及按生理性别和年龄组别识别出患有广东话的学生。与镇静剂(SSIS 临界值为 19)相比,处方类阿片、可卡因和致幻剂(SSIS 临界值均为 4)的药物风险阈值较低,可预测赌博障碍。就海洛因而言,年轻学生预测赌博障碍的物质风险临界值低于年长学生,但就所有其他物质分类而言,25 岁及以上学生预测赌博障碍的 SSIS 临界值低于 18-24 岁学生。这项研究有助于人们了解,药物使用行为可能会使学生面临其他成瘾行为(如 GD)的风险。本研究首次利用 ASSIST 工具预测美国大学生的 GD,将其应用范围扩展到药物使用障碍之外。为每个 SSIS 确定最佳临界值为同时筛查 GD 和药物使用障碍提供了一种新方法。这一独特的贡献可以加强对大学生群体中 GD 的早期检测和干预策略。
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来源期刊
CiteScore
5.00
自引率
16.70%
发文量
72
期刊介绍: Journal of Gambling Studies is an interdisciplinary forum for the dissemination on the many aspects of gambling behavior, both controlled and pathological, as well as variety of problems attendant to, or resultant from, gambling behavior including alcoholism, suicide, crime, and a number of other mental health problems. Articles published in this journal are representative of a cross-section of disciplines including psychiatry, psychology, sociology, political science, criminology, and social work.
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