Department of Psychiatry, Harvard Medical School and Cambridge Health Alliance, Medford, MA 02155, USA.
Psychol Addict Behav. 2012 Sep;26(3):527-35. doi: 10.1037/a0028545. Epub 2012 Jun 11.
As the worldwide popularity of Internet gambling increases, concerns about the potential for gambling-related harm also increase. This paper reports the results of a study examining actual Internet gambling behavior during 10 years of play. We examined the electronic gambling records of subscribers (N=2,066) who triggered a responsible gaming alert system at a large international online gaming company. We compared these cases with control subscribers (N=2,066) who had the same amount of exposure to the Internet gambling service provider. We used discriminant function analysis to explore what aspects of gambling behavior distinguish cases from controls. Indices of the intensity of gambling activity (e.g., total number of bets made, number of bets per betting day) best distinguished cases from controls, particularly in the case of live-action sports betting. Control group players evidenced behavior similar to the population of players using this service. These results add to our understanding of behavioral markers for disordered Internet gambling and will aid in the development of behavior-based algorithms capable of predicting the presence and/or the onset of disordered Internet gambling.
随着互联网赌博在全球范围内的普及,人们对赌博相关危害的担忧也与日俱增。本文报告了一项研究的结果,该研究考察了在 10 年的游戏过程中实际的互联网赌博行为。我们检查了一家大型国际在线博彩公司的用户(N=2066)触发负责任博彩警报系统时的电子赌博记录。我们将这些案例与控制用户(N=2066)进行了比较,这些用户与互联网博彩服务提供商的接触量相同。我们使用判别函数分析来探讨赌博行为的哪些方面可以区分案例和控制组。赌博活动强度指数(例如,下注总数、每个投注日的下注数)可以最好地区分案例和对照组,特别是在现场体育博彩中。对照组玩家的行为与使用该服务的玩家群体相似。这些结果增加了我们对紊乱性互联网赌博行为标志的理解,并将有助于开发基于行为的算法,以预测紊乱性互联网赌博的存在和/或发病。