Comorbidity of Alcohol and Gambling Problems in Emerging Adults: A Bifactor Model Conceptualization.
Comorbidity of Alcohol and Gambling Problems in Emerging Adults: A Bifactor Model Conceptualization.
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DOI：
10.1007/s10899-016-9618-6
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发表时间：
2017-03
影响因子：
2.4
通讯作者：
Edward G
中科院分区：
文献类型：
--
作者：
Tackett JL;Krieger H;Neighbors C;Rinker D;Rodriguez L;Edward G
成瘾性疾病，如病理性赌博和酒精使用障碍，经常以大于机会的水平共同发生。实质性的问题源于这一共同点，即赌博和饮酒之间的共同差异在多大程度上反映了成瘾倾向的心理核心，以及这是否因性别而异。本研究的目的是区分共同的和独特的方差在酒精和赌博问题的双因素模型，检查测量不变性的性别，并确定实质性的最终双因素模型。来自西北部一所大型大学的本科生（N = 4475）完成了一份在线筛选问卷，其中包括人口统计学、赌博时输赢的金钱数量、南奥克斯赌博屏幕、AUDIT、赌博动机、饮酒动机、个性和简明症状量表。结果表明，双因素模型拟合数据以及在全样本。虽然数据表明，性别之间的结构不变性，因素负荷不能被限制为男女之间是平等的。因此，按性别分别检查了一般和特定因素，并对女性和男性进行了更深入的子样本（n = 264）。与动机倾向，人格特质和心理健康症状的相关性表明支持的双因素模型的有效性，以及性别特异性的关联模式。结果表明，信息共享和独特的属性之间的区别有问题的饮酒和赌博。
Addictive disorders, such as pathological gambling and alcohol use disorders, frequently co-occur at greater than chance levels. Substantive questions stem from this comorbidity regarding the extent to which shared variance between gambling and alcohol use reflects a psychological core of addictive tendencies, and whether this differs as a function of gender. The aims of this study were to differentiate both common and unique variance in alcohol and gambling problems in a bifactor model, examine measurement invariance of this model by gender, and identify substantive correlates of the final bifactor model. Undergraduates (N = 4475) from a large northwestern university completed an online screening questionnaire which included demographics, quantity of money lost and won when gambling, the South Oaks Gambling Screen, the AUDIT, gambling motives, drinking motives, personality, and the Brief Symptom Inventory. Results suggest that the bifactor model fit the data well in the full sample. Although the data suggest configural invariance across gender, factor loadings could not be constrained to be equal between men and women. As such, general and specific factors were examined separately by gender with a more intensive subsample of females and males (n = 264). Correlations with motivational tendencies, personality traits, and mental health symptoms indicated support for the validity of the bifactor model, as well as gender-specific patterns of association. Results suggest informative distinctions between shared and unique attributes related to problematic drinking and gambling.