Poker playing among women: Understanding factors associated with gambling problems
Bibliographic record
Abstract
Poker players are at high risk of experiencing gambling problems. Despite the feminization of gambling, little is known about the problems associated with poker playing among women. This cross-sectional study aims to examine relationships between gambling problems and factors generally associated with gambling problems (gambling behaviours, substance use and mental health) among women poker players. A total of 46 women were recruited through a broader prospective cohort study from the province of Quebec, Canada. The outcome variable of interest was participants’ scores on the Problem Gambling Severity Index (PGSI); the predictive variables were gambling behaviours, alcohol and drug misuse (DEBA-Alcohol and drugs) and mental health (Beck anxiety and depression). Multiple logistic regression analyses revealed that the factors associated with gambling problems among women poker players are distinct from those of men. For women, severity of gambling problems is positively associated with Internet poker playing, playing slot machines and smoking cigarettes (p < .05). However, among these women, alcohol and drug misuse and mental health are not associated with gambling problems. Therefore, it is important to understand the risks associated with women poker players to develop preventive strategies adapted for this population and to adjust interventions accordingly.RésuméLes joueurs de poker sont une population à risque de présenter des problèmes de jeu. Malgré la féminisation des jeux de hasard et d’argent (JHA), les connaissances sont limitées quant aux problèmes liés au poker chez les femmes. Cette étude transversale vise à documenter le lien entre les problèmes de jeu et les facteurs généralement associés aux problèmes de jeu (comportements de jeu, consommation de substances et santé mentale) chez les joueuses de poker. Au total, 46 femmes ont été recrutées dans le cadre d'une étude de cohorte prospective plus large réalisée dans la province de Québec, au Canada. Le score à l'Indice Canadien du Jeu Excessif (ICJE) était la variable dépendante; les variables prédictives étaient les comportements de jeu, l'abus d'alcool et de drogues (DEBA-Alcool et Drogues) et la santé mentale (Inventaire d’anxiété et de dépression de Beck). Les analyses de régression logistique ont révélé que les facteurs associés aux problèmes de jeu chez les joueuses de poker sont distincts de ceux des hommes. Pour les femmes, la gravité des problèmes de jeu est positivement associée à jouer au poker sur Internet, à jouer aux machines à sous et à fumer des cigarettes (p < 0,05). Toutefois, chez ces femmes, ni l'abus d'alcool et de drogues, ni la santé mentale ne sont pas associés aux problèmes de jeu. Il est donc important de comprendre les risques associés aux problèmes de jeu chez les joueuses de poker afin de développer des stratégies de prévention adaptées à cette population et d'ajuster les interventions en conséquence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".