Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis.
Gaëlle Challet-BoujuJean-Benoit HardouinElsa ThiabaudAnaïs SaillardYann DonnioMarie Grall-BronnecBastien PerrotPublished in: Journal of medical Internet research (2020)
Classes 1, 2, 3 may be considered to represent recreational gambling. Class 4 had higher gambling activity and higher breadth of involvement and may be representative of players at risk for future gambling problems. Class 5 stood out in terms of much higher gambling activity and breadth of involvement, and the presence of chasing behavior. Individuals in classes 4 and 5 may benefit from early preventive measures.