Stinchfield Randy, Wynne Harold, Wiebe Jamie, Tremblay Joel
Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, United States.
Department of Psychology, University of Windsor, Windsor, ON, Canada.
Front Psychol. 2017 Dec 19;8:2204. doi: 10.3389/fpsyg.2017.02204. eCollection 2017.
The purpose of this study was to develop and evaluate the initial reliability, validity and classification accuracy of a new brief screen for adolescent problem gambling. The three-item Brief Adolescent Gambling Screen (BAGS) was derived from the nine-item Gambling Problem Severity Subscale (GPSS) of the Canadian Adolescent Gambling Inventory (CAGI) using a secondary analysis of existing CAGI data. The sample of 105 adolescents included 49 females and 56 males from Canada who completed the CAGI, a self-administered measure of DSM-IV diagnostic criteria for Pathological Gambling, and a clinician-administered diagnostic interview including the DSM-IV diagnostic criteria for Pathological Gambling (both of which were adapted to yield DSM-5 Gambling Disorder diagnosis). A stepwise multivariate discriminant function analysis selected three GPSS items as the best predictors of a diagnosis of Gambling Disorder. The BAGS demonstrated satisfactory estimates of reliability, validity and classification accuracy and was equivalent to the nine-item GPSS of the CAGI and the BAGS was more accurate than the SOGS-RA. The BAGS estimates of classification accuracy include = 0.95, = 0.88, = 0.98, = 0.02, and = 0.12. Since these classification estimates are preliminary, derived from a relatively small sample size, and based upon the same sample from which the items were selected, it will be important to cross-validate the BAGS with larger and more diverse samples. The BAGS should be evaluated for use as a screening tool in both clinical and school settings as well as epidemiological surveys.
本研究的目的是开发并评估一种针对青少年问题赌博的新型简短筛查工具的初始信度、效度和分类准确性。三项式简短青少年赌博筛查工具(BAGS)源自加拿大青少年赌博量表(CAGI)的九项赌博问题严重程度分量表(GPSS),采用对现有CAGI数据的二次分析得出。105名青少年样本包括来自加拿大的49名女性和56名男性,他们完成了CAGI(一种针对病理性赌博的DSM-IV诊断标准的自填式测量工具)以及一项由临床医生实施的诊断访谈(包括病理性赌博的DSM-IV诊断标准,两者均进行了调整以得出DSM-5赌博障碍诊断)。逐步多元判别函数分析选择了三项GPSS项目作为赌博障碍诊断的最佳预测指标。BAGS在信度、效度和分类准确性方面表现出令人满意的估计值,与CAGI的九项GPSS相当,且BAGS比SOGS-RA更准确。BAGS的分类准确性估计值包括 = 0.95、 = 0.88、 = 0.98、 = 0.02和 = 0.12。由于这些分类估计是初步的,源自相对较小的样本量,且基于选择项目的同一样本,因此使用更大且更多样化的样本对BAGS进行交叉验证将很重要。应评估BAGS在临床和学校环境以及流行病学调查中作为筛查工具的用途。