Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia.
PLoS One. 2019 Jan 23;14(1):e0209277. doi: 10.1371/journal.pone.0209277. eCollection 2019.
In 2016, the gambling habits of a sample of 3361 adults in the state of Victoria, Australia, were surveyed. It was found that a number of factors that were highly correlated with self-reported gambling frequency and gambling problems were not significant predictors of gambling frequency and problem gambling. The major predictors of gambling frequency were the degree to which family members and peers were perceived to gamble, self-reported approval of gambling, the frequency of discussing gambling offline, and the participant's Canadian Problem Gambling Severity Index (PGSI) score. Age was a significant predictor of gambling frequency for certain types of gambling (e.g. buying lottery tickets). Approximately 91% of the explainable variance in the participant's PGSI score could be explained by just five predictors: Positive Urgency; Frequency of playing poker machines at pubs, hotels or sporting clubs; Participation in online discussions of betting on gaming tables at casinos; Frequency of gambling on the internet, and Overestimating the chances of winning. Based on these findings, suggestions are made as to how gambling-related harm can be reduced.
2016 年,对澳大利亚维多利亚州 3361 名成年人的抽样赌博习惯进行了调查。研究发现,一些与自我报告的赌博频率和赌博问题高度相关的因素并不是赌博频率和赌博问题的显著预测因素。赌博频率的主要预测因素是家庭成员和同伴被认为赌博的程度、自我报告的对赌博的认可程度、线下讨论赌博的频率以及参与者的加拿大赌博严重程度指数(PGSI)得分。年龄是某些类型赌博(例如购买彩票)的赌博频率的一个重要预测因素。仅通过五个预测因素,就可以解释参与者 PGSI 得分中约 91%的可解释方差:积极冲动;在酒吧、酒店或体育俱乐部玩老虎机的频率;参与赌场赌桌投注的在线讨论;在互联网上赌博的频率,以及高估获胜的机会。基于这些发现,提出了如何减少与赌博相关的伤害的建议。