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Gambling Problem Trajectories and Associated Individuals Risk Factors: A Three-Year Follow-Up Study Among Poker Players.

Magali DufourAdèle MorvannouNatacha BrunelleSylvia KairouzÉmélie LaverdièreLouise NadeauDjamal BerbicheÉlise Roy
Published in: Journal of gambling studies (2020)
Despite the popularity in poker-related activities in recent years, few studies have focused on the evolution of gambling habits of poker players over a long period of time. The aim of this study is to examine factors influencing trajectories of poker players. The results are based on data collected at a four-time measurement of a prospective cohort study conducted in Quebec (n = 304 poker players). A latent class growth analysis was performed to identify trajectories based on the Problem Gambling Severity Index score. Multinomial multivariable logistic regression analyses were conducted to determine the correlates of gambling trajectories. Over the 3 years of the study, three gambling problem trajectories were identified, comprising one decreasing trajectory (1st: non-problematic-diminishing), one stable trajectory (2nd: low risk-stable), and one increasing trajectory (3th: problem gamblers-increasing). Internet as the main poker form and number of game played were associated with at-risk trajectories. Depression symptoms were significant predictors of the third trajectory whereas impulsivity predicted the second trajectory. This study shows that the risk is remaining low over years for the vast majority of poker players. However, the vulnerable poker players at the beginning of the study remain on a problematic increasing trajectory. It is therefore important to prioritize individuals in the third trajectory for interventions.
Keyphrases
  • depressive symptoms
  • risk factors
  • sleep quality
  • artificial intelligence
  • deep learning
  • obsessive compulsive disorder