Gambling Among Emerging Adults: How Gender and Risk Level Influence Associated Problem Behaviours
Bibliographic record
Abstract
This study investigates mental health and substance use problems associated with gambling among Canadian emerging adults (ages 18–20 years). Drawing on a cross-sectional wave of 624 (47.8% male) participants from the Manitoba Longitudinal Study of Young Adults, our findings suggest that among emerging adults, problem gambling should be understood as part of a wider syndrome. The profile of syndromic associations varies with both problem gambling risk level and gender. With respect to risk level, regression models indicate that, relative to no-risk gamblers, lower risk gamblers are more likely to use drugs and alcohol, whereas higher risk gamblers report greater symptoms of depression and anxiety. Males and females present different barriers to recovery: High-risk female gamblers are more likely to rely on escape-avoidance coping mechanisms, whereas their male counterparts tend to lack perceived social support. Given the centrality of these two variables and the lack of literature addressing how they interact, we conclude that further research is needed to understand how gender and gambling severity interact to simultaneously influence gambling-related behaviours among emerging adults. RésuméCette étude porte sur les problèmes de santé mentale et de toxicomanie associés au jeu chez les jeunes adultes canadiens (âgés de 18 à 20 ans). Fondés sur une vague transversale de 624 participants (47,8% d’hommes) de l’étude longitudinale des jeunes adultes du Manitoba (MLSYA), nos résultats laissent entendre que, parmi les jeunes adultes, le jeu problématique devrait être abordé comme faisant partie d’un syndrome plus vaste. Le profil des associations syndromiques varie selon le niveau de risque de jeu problématique et le genre. En ce qui concerne le niveau de risque, les modèles de régression indiquent que, par rapport aux joueurs sans risque, les joueurs à faible risque sont plus susceptibles de consommer de la drogue et de l’alcool, tandis que les joueurs à risque plus élevé montrent des symptômes plus importants de dépression et d’anxiété. En parallèle, les hommes et les femmes rencontrent différents obstacles au rétablissement : les joueuses à haut risque sont plus susceptibles de compter sur des mécanismes d’adaptation comme l’échappement ou l’évitement, tandis que leurs homologues masculins ont tendance à manquer de soutien social perçu. Compte tenu de la centralité de ces deux variables et du manque de littérature traitant de leurs interactions, nous concluons qu’il est nécessaire de poursuivre les recherches pour comprendre les interactions entre le genre et la gravité du jeu pathologique afin d’influencer simultanément les comportements liés au jeu chez les jeunes adultes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".