Problem gambling in adolescents: what are the psychological, social and financial consequences?
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The paper examines the roles of sociodemographic traits, family quality and risk behaviour in adolescent problem gambling, with focus on the psychological, social and financial consequences from the socio-ecological model approach. This model emphasizes the most important risk-protective factors in the development and maintenance of problem gambling on an individual level, a relationship level, as well as a community and societal level. METHODS: The research was done using the Canadian Adolescent Gambling Inventory with a sample of 366 participants, 239 females (65.3%) using descriptive statistics and t-test, ANOVA, correlation and hierarchical regression analysis. RESULTS: Males reported significantly higher gambling consequences on all scales (p < .001) and significantly more risk behaviour (p < .05). Age was significant for psychological consequences (p < .01), problem gambling (p < .01) and risk behaviour (p < .001) with older participants scoring higher. Students with lower school success reported significantly higher psychological consequences of gambling (p < .01), higher risk behaviour activity (p < .001) and lower family life satisfaction (p < .001). The psychological, financial and social consequences were positively correlated with problem gambling (p < .001). Age (p < .05), gender (p < .001), school success (p < .01) and the father's education level (p. < 05) were significant predictors of problem gambling, with older male adolescents who struggle academically and have lower educated fathers being at greater risk. CONCLUSIONS: Results indicate an important relation between adolescent gambling behaviour and very serious psychological, social and financial consequences. There is a constellation of risk factors that likely place certain individuals at high risk for problem gambling.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it