Developing and validating lower risk online gambling thresholds with actual bettor data from a major Internet gambling operator.

Abstract

To help individuals avoid potential negative consequences associated with their gambling, researchers have developed lower risk limits for time and financial involvement among populations of land-based gamblers. The present study extended these efforts to online gambler populations with prospective longitudinal data. We used receiver operating characteristic curve analysis and logistic regression models predicting a positive Brief Biosocial Gambling Screen (BBGS; Gebauer et al., Canadian Journal of Psychiatry, 55, 2010, 82-90) to develop lower risk limits for six measures of gambling involvement among subscribers to an online gambling operator. We also tested the utility of these six newly developed online limits and three existing land-based limits for the BBGS outcome and proxies for gambling problems including: (a) voluntary self-limiting, (b) voluntary self-exclusion, (c) closing one's account, and (d) being assigned a flag for potential problem gambling by customer service. We identified five optimal limits for lower risk online gambling with adequate sensitivity and specificity for predicting BBGS-positive status, and four of those that also received additional empirical support. These four empirically supported gambling limits were: (a) wagering 167.97 Euros or less each month; (b) spending 6.71% or less of one's annual income on online gambling wagers; (c) losing 26.11 Euros or less on online gambling per month; and (d) demonstrating variability (i.e., standard deviation) in daily amount wagered of 35.14 Euros or less during one's duration active. Our findings have implications for lower risk gambling limits research and suggest that unique limits might apply to online and land-based gambler populations. (PsycInfo Database Record (c) 2021 APA, all rights reserved).