Gender Differences in Problem Gambling of University Students and their Relationship with Health Risk Behaviors
Bibliographic record
Abstract
Objectives: This study aims to identify differences in problem gambling among Korean university students by gender and to analyze the relationship between problem gambling and health risk behaviors. Methods: With a sample of 2,026 4-year university students, a questionnaire included CPGI (Canadian Problem Gambling Index) scale and health risk behavior items was administered. Descriptive statistics, t-test, and ANOVA were performed on the data. Results: The prevalence of gambling addiction of male students(14.6%) was two times higher than that of female students(6.6%). The severity of problem gambling was higher in: smokers, those with drug use experience, heavy drinkers, and those with frequently recurring suicidal thoughts, respectively. Conclusions: This study suggests that the problem gambling of university students is a complicated and comprehensive public health problem that is related with health risk behaviors such as alcohol drinking, smoking, drug use, and suicidal thoughts. Prevention strategies and policies are suggested based on the study results.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".