Trial reportInternational journal of methods in psychiatric research2018
Typology of online lotteries and scratch games gamblers' behaviours: A multilevel latent class cluster analysis applied to player account-based gambling data.
Trial report in International journal of methods in psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Online Gambling: A Systematic Review of Risk and Protective Factors in the Adult Population.Journal of gambling studies · 2024Pooled it
- 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
- Multidimensional Loss Chasing among Online Gamblers: Assessing Optimized Thresholds for the Prediction of Gambling Harm.Journal of gambling studies · 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
- Within-session chasing of losses and wins in an online eCasino.Scientific reports · 2024Article
- Between-session chasing of losses and wins in an online eCasino.Journal of behavioral addictions · 2024Article
- Behavioural Tracking and Profiling Studies Involving Objective Data Derived from Online Operators: A Review of the Evidence.Journal of gambling studies · 2024Review
- An Empirical Attempt to Operationalize Chasing Losses in Gambling Utilizing Account-Based Player Tracking Data.Journal of gambling studies · 2023Article
- The Effect of a Mandatory Play Break on Subsequent Gambling Behavior among British Online Casino Players: A Large-Scale Real-World Study.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
- Impact of wagering inducements on the gambling behaviors of on-line gamblers: A longitudinal study based on gambling tracking data.Addiction (Abingdon, England) · 2022Observational
- Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis.Journal of medical Internet research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesInternet gambling is often considered as a risk factor for gambling problems compared with land-based gambling. In parallel, this online activity generates data that can be useful to characterize Internet gambling behaviours. The objectives were to define a typology of online lotteries and scratch games gamblers' behaviours in order to identify early risky gambling behaviours and to classify gamblers in order to identify individuals with global risky gambling behaviours.
methodsWe performed a multilevel latent class cluster based on player account-based data of 10,000 gamblers from a French online operator.
resultsWe identified seven clusters of online lotteries and scratch games gamblers' behaviours. A small cluster (3%) was characterized by a very high gambling activity, a high probability of chasing behaviour, a large proportion of bets concerning instant lotteries and scratch games, and a high proportion of women. We also found a group of gamblers having an 81% probability of being each month in this cluster.
conclusionsThe identification of distinct clusters of gambling behaviours and of groups of gamblers having different probabilities of being in these clusters through time could allow the implementation of personalized prevention measures according to the gamblers' profile.
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