Bullying Victimization and Problem Video Gaming: The Mediating Role of Externalizing and Internalizing Problems
Bibliographic record
Abstract
BACKGROUND: Adolescent victims of bullying are more likely to experience a range of mental health problems. Although research has investigated the relationship between bullying victimization and various addictive behaviors, the impact of bullying on problem video gaming (PVG) remains largely unexplored. The purpose of this study is to investigate the relationship between bullying victimization and PVG as mediated by the presence of internalizing and externalizing problems. METHODS: Survey responses were collected from 6353 high-school students aged 12 to 18. Measures include bullying victimization (physical, verbal, cyber and indirect), internalizing (e.g., anxious and depressive symptoms) and externalizing (e.g., aggressive and delinquent problems) problems, and PVG (measured by the Internet Gaming Disorder Scale-Short Form). RESULTS: Mediation analyses indicated that the relationship between verbal bullying and PVG was completely mediated by the presence of internalizing and externalizing problems. The relationship between physical bullying and PVG was completely mediated by externalizing problems and the relationship between cyberbullying and PVG was completely mediated by internalizing problems. Lastly, the relationship between indirect bullying and PVG was partially mediated by externalizing and internalizing problems. CONCLUSIONS: Results suggest that different types of bullying victimization are differentially associated with PVG, with mental health symptoms significantly mediating this relationship.
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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 | 0.002 | 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 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".