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Record W2800387935 · doi:10.4309/jgi.2018.38.14

Mobile Gambling Among Youth: A Warning Sign for Problem Gambling?

2018· article· en· W2800387935 on OpenAlexaffvenue
Yaxi Zhao, Loredana Marchica, Jeffrey L. Derevensky, William Ivoska

Bibliographic record

VenueJournal of Gambling Issues · 2018
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyHumanitiesLogistic regressionSocial psychologyArt

Abstract

fetched live from OpenAlex

With the rapid development of technology in the gambling industry, underage mobile gambling has become a growing concern. The present study investigated the prevalence of adolescent mobile gambling and the relationship between frequency of mobile gambling and gambling-related problems. A survey assessing past-year gambling behavior, gambling problems, perceived risk for gambling, and parental and peer disapproval of gambling was completed by 6,818 junior/senior high school students aged 10 to 19. A descriptive analysis demonstrated a 5% prevalence of mobile gambling, and regular mobile gambling (at least monthly) was associated with a higher risk of developing a gambling problem and engagement in other forms of gambling. A hierarchical logistic regression revealed that being female, younger, and perceiving higher parental disapproval of gambling is related to less past-year mobile gambling. Perceived risk of gambling-related harms and peer disapproval were not significant predictors after controlling for other factors. The results suggest that underage mobile gambling may serve as one warning sign of adolescent problem gambling. Given that mobile gambling accessibility is increasing, the results provide valuable information for early intervention and prevention.RésuméAvec le développement rapide de la technologie dans le secteur du jeu, le jeu sur appareil portable chez les personnes mineures devient une préoccupation croissante. La présente étude a examiné la prévalence du jeu sur portable chez les adolescents et la relation entre la fréquence des jeux de hasard sur portable et les problèmes liés au jeu. Un sondage évaluant le comportement de jeu au cours de l’année précédente, les problèmes de jeu, le risque perçu de jeu et la désapprobation des parents et des pairs a été effectué auprès de 6 818 élèves du secondaire, âgés de 10 à 19 ans. Une analyse descriptive a démontré une prévalence de 5 % du jeu sur portable, et le jeu régulier sur portable (au moins une fois par mois) était associé à un risque plus élevé de développer un problème de jeu et de s’engager dans d’autres formes de jeu. Une régression logistique hiérarchique a révélé que le fait d’être une femme, d’être plus jeune et de percevoir une grande désapprobation parentale à l’égard des jeux de hasard a donné lieu à moins de jeu sur portable au cours de l’année écoulée. Le risque perçu de méfaits liés au jeu et la désapprobation par les pairs n’étaient pas des prédicteurs significatifs, après neutralisation d’autres facteurs. Les résultats montrent que le jeu sur appareil portable chez les mineurs peut constituer un signe d’avertissement du jeu problématique chez les adolescents. Étant donné que l’accessibilité au jeu sur portable augmente, les résultats fournissent des données précieuses pour l’intervention précoce et la prévention.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.234
GPT teacher head0.453
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2018
Admission routes2
Has abstractyes

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