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Developing and validating lower risk online gambling thresholds with actual bettor data from a major Internet
Eric R Louderback1, Debi A LaPlante1, Shawn R Currie2
1Division on Addiction.
Researchers identified four optimal lower risk limits for online gambling. These include monthly wagering, income percentage spent, monthly losses, and daily wager variability to prevent gambling harms.
Area of Science:
- Behavioral Psychology
- Addiction Research
- Quantitative Psychology
Background:
- Existing lower risk gambling limits focus on land-based settings.
- Online gambling presents unique challenges and requires specific risk assessment.
Purpose of the Study:
- To establish evidence-based lower risk limits for online gambling involvement.
- To extend previous research on gambling limits to the digital domain.
Main Methods:
- Utilized prospective longitudinal data from online gambling subscribers.
- Employed receiver operating characteristic curve analysis and logistic regression.
- Predicted positive Brief Biosocial Gambling Screen (BBGS) status and other gambling problem indicators.
Main Results:
- Identified five optimal lower risk limits for online gambling.
- Four limits demonstrated empirical support: wagering ≤€167.97/month, spending ≤6.71% of annual income, losing ≤€26.11/month, and daily wager standard deviation ≤€35.14.
- These limits showed adequate sensitivity and specificity for predicting gambling risks.
Conclusions:
- Findings suggest distinct lower risk limits for online versus land-based gambling.
- Highlights the need for tailored risk management strategies in online gambling environments.
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