Kong Grace, Tsai Jack, Krishnan-Sarin Suchitra, Cavallo Dana A, Hoff Rani A, Steinberg Marvin A, Rugle Loreen, Potenza Marc N
From the Department of Psychiatry (GK, JT, SK-S, DAC, RAH, and MNP), Department of Epidemiology (RAH), and Child Study Center (MNP), Yale University School of Medicine, New Haven, CT; Veterans Affairs New England Mental Illness, Research, Education, and Clinical Center (JT), West Haven, CT; Connecticut Council on Problem Gambling (RAH and MAS), Guilford, CT; and Problem Gambling Services (LR), Middletown, CT.
J Addict Med. 2014 Nov-Dec;8(6):421-30. doi: 10.1097/ADM.0000000000000074.
To identify subtypes of adolescent gamblers based on the 10 Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria for pathological gambling and the 9 Diagnostic and Statistical Manual of Mental Disorders, fifth edition criteria for gambling disorder and to examine associations between identified subtypes with gambling, other risk behaviors, and health/functioning characteristics.
Using cross-sectional survey data from 10 high schools in Connecticut (N = 3901), we conducted latent class analysis to classify adolescents who reported past-year gambling into gambling groups on the basis of items from the Massachusetts Gambling Screen. Adolescents also completed questions assessing demographic information, substance use (cigarette, marijuana, alcohol, and other drugs), gambling behaviors (relating to gambling formats, locations, motivations, and urges), and health/functioning characteristics (eg, extracurricular activities, mood, aggression, and body mass index).
The optimal solution consisted of 4 classes that we termed low-risk gambling (86.4%), at-risk chasing gambling (7.6%), at-risk negative consequences gambling (3.7%), and problem gambling (PrG) (2.3%). At-risk and PrG classes were associated with greater negative functioning and more gambling behaviors. Different patterns of associations between at-risk and PrG classes were also identified.
Adolescent gambling classifies into 4 classes, which are differentially associated with demographic, gambling patterns, risk behaviors, and health/functioning characteristics. Early identification and interventions for adolescent gamblers should be sensitive to the heterogeneity of gambling subtypes.
根据《精神疾病诊断与统计手册》第四版中病理性赌博的标准以及《精神疾病诊断与统计手册》第五版中赌博障碍的标准,确定青少年赌徒的亚型,并研究已确定的亚型与赌博、其他风险行为以及健康/功能特征之间的关联。
利用来自康涅狄格州10所高中的横断面调查数据(N = 3901),我们进行了潜在类别分析,根据马萨诸塞州赌博筛查项目将报告过去一年有赌博行为的青少年分类为不同的赌博群体。青少年还完成了评估人口统计学信息、物质使用(香烟、大麻、酒精和其他毒品)、赌博行为(与赌博形式、地点、动机和冲动有关)以及健康/功能特征(如课外活动、情绪、攻击性和体重指数)的问题。
最佳分类方案包含4类,我们将其称为低风险赌博(86.4%)、风险追逐型赌博(7.6%)、风险后果型赌博(3.7%)和问题赌博(PrG)(2.3%)。风险型和问题赌博类与更严重的负面功能和更多的赌博行为相关。还确定了风险型和问题赌博类之间不同的关联模式。
青少年赌博可分为4类,它们在人口统计学、赌博模式、风险行为以及健康/功能特征方面存在差异关联。对青少年赌徒的早期识别和干预应考虑到赌博亚型的异质性。