Calhoun Cardiology Center, University of Connecticut Health Center, Farmington, CT 06030-3944, USA.
Exp Clin Psychopharmacol. 2010 Dec;18(6):530-8. doi: 10.1037/a0021718.
Identifying situations in which individuals gamble may be important for developing or improving treatments, but few instruments exist for examining high-risk gambling situations. This study evaluated the factor structure of the Inventory of Gambling Situations (IGS), an instrument that assesses situations that may lead to gambling episodes. Individuals seeking alcohol and drug abuse treatment who were identified as problem or pathological gamblers (N = 283) completed the IGS, and principal component analysis revealed a 4-factor solution best fit the data; the factors represented items related to Negative Affect, Positive Affect, Gambling Cues, and Social Situations. Across the whole scale, Cronbach's alpha was 0.97, ranging from 0.83 to 0.96 for the four factors. IGS total scores correlated with other indices of gambling problems, including number of pathological gambling criteria endorsed and frequency and intensity of gambling. Race, education, and severity of psychiatric, drug, and alcohol problems were significantly predictive of some factor scores. Specifically, African Americans were more likely to gamble in response to Negative Affect situations than Caucasians, and education was inversely associated with wagering in response to Gambling Cues. Psychiatric symptoms were predictive of gambling in response to both Positive and Negative Affect situations and Gambling Cues. Severity of drug and alcohol problems were related to gambling in Social Situations. Results from this study indicate that the IGS has good psychometric properties and suggest areas in which intervention efforts may be tailored to prevent or treat gambling problems among individuals seeking substance abuse treatment.
识别个体赌博的情况可能对开发或改进治疗方法很重要，但很少有工具可以检查高风险赌博情况。本研究评估了赌博情况清单（IGS）的因素结构，该工具评估可能导致赌博发作的情况。被确定为问题或病态赌徒的寻求酒精和药物滥用治疗的个体（N=283）完成了 IGS，主成分分析显示，四因素解决方案最适合数据；这些因素代表与负面情绪、积极情绪、赌博线索和社交情况有关的项目。在整个量表中，克朗巴赫的阿尔法系数为 0.97，四个因素的范围为 0.83 至 0.96。IGS 总分与其他赌博问题指标相关，包括病理性赌博标准的数量以及赌博的频率和强度。种族、教育程度以及精神疾病、药物和酒精问题的严重程度是一些因素得分的显著预测因素。具体而言，与白人相比，非裔美国人更有可能因负面情绪而赌博，而教育程度与因赌博线索而赌博呈负相关。精神疾病症状可预测对积极和消极情绪情况以及赌博线索的赌博。药物和酒精问题的严重程度与社交情况下的赌博有关。本研究的结果表明，IGS 具有良好的心理计量学特性，并表明在哪些方面可以针对接受药物滥用治疗的个体量身定制干预措施以预防或治疗赌博问题。
