ArticleInternational journal of methods in psychiatric research2016
Tracking online poker problem gamblers with player account-based gambling data only.
Article in International journal of methods in psychiatric research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Typology of online lotteries and scratch games gamblers' behaviours: A multilevel latent class cluster analysis applied to player account-based gambling data.International journal of methods in psychiatric research · 2018Trial
- Predicting problem gambling among online sports and race bettors: Assessing the value of machine learning using behavioural and self-reported data.Journal of behavioral addictions · 2026Article
- A portrait of online gambling: a look at a transformation amid a pandemic.Harm reduction journal · 2025Article
- Assessing the Risk of Online Gambling Products: A Replication and Validation of Behavioural Markers of Harm Using the Problem Gambling Severity Index.Journal of gambling studies · 2025Article
- Self-reported Deposits Versus Actual Deposits in Online Gambling: An Empirical Study.Journal of gambling studies · 2024Article
- Behavioural Tracking and Profiling Studies Involving Objective Data Derived from Online Operators: A Review of the Evidence.Journal of gambling studies · 2024Review
- Individual risk factors and prediction of gambling disorder in online sports bettors - the longitudinal RIGAB study.Frontiers in psychiatry · 2024Article
- Characteristics and prediction of risky gambling behaviour study: A study protocol.International journal of methods in psychiatric research · 2023Article
- Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting.Journal of gambling studies · 2023Article
- Second Session at the Virtual Poker Table: A Contemporary Study of Actual Online Poker Activity.Journal of gambling studies · 2023Article
- Attitude Towards Deposit Limits and Relationship with Their Account-Based Data Among a Sample of German Online Slots Players.Journal of gambling studies · 2023Article
- Development and validation of a prediction model for online gambling problems based on players' account data.Journal of behavioral addictions · 2022Article
- Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis.Journal of medical Internet research · 2020Article
- Self-Exclusion among Online Poker Gamblers: Effects on Expenditure in Time and Money as Compared to Matched Controls.International journal of environmental research and public health · 2019Article
- Deposit Limit Prompt in Online Gambling for Reducing Gambling Intensity: A Randomized Controlled Trial.Frontiers in psychology · 2019Article
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- Does Individual Gambling Behavior Vary across Gambling Venues with Differing Numbers of Terminals? An Empirical Real-World Study using Player Account Data.Frontiers in psychology · 2018Article
- Article
- Tracking online poker problem gamblers with player account-based gambling data only.International journal of methods in psychiatric research · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim was to develop and validate an instrument to track online problem poker gamblers with player account-based gambling data (PABGD). We emailed an invitation to all active poker gamblers on the online gambling service provider Winamax. The 14,261 participants completed the Problem Gambling Severity Index (PGSI). PGSI served as a gold standard to track problem gamblers (i.e., PGSI ≥ 5). We used a stepwise logistic regression to build a predictive model of problem gambling with PABGD, and validated it. Of the sample 18% was composed of online poker problem gamblers. The risk factors of problem gambling included in the predictive model were being male, compulsive, younger than 28 years, making a total deposit > 0 euros, having a mean loss per gambling session > 1.7 euros, losing a total of > 45 euros in the last 30 days, having a total stake > 298 euros, having > 60 gambling sessions in the last 30 days, and multi-tabling. The tracking instrument had a sensitivity of 80%, and a specificity of 50%. The quality of the instrument was good. This study illustrates the feasibility of a method to develop and validate instruments to track online problem gamblers with PABGD only. Copyright © 2016 John Wiley & Sons, Ltd.
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