Victimization Experiences and Mental Health Outcomes Among Grades 7 to 12 Students in Manitoba, Canada
Bibliographic record
Abstract
Abstract Victimization experiences, including traditional forms of bullying, discriminatory harassment, and cyber victimization, are associated with numerous detrimental consequences in adolescence and over the life course. The objective of the current study was to understand the relationships between nine experiences of victimization and mental health outcomes among students in grades 7 to 12 in Manitoba, Canada. Data were drawn from the 2012–2013 Manitoba Youth Health Survey ( N = 64,174; response rate = 67%). Mental health outcomes included mental health functioning and emotional well-being, and feelings of sadness and hopelessness. The prevalence of moderate/languishing mental health functioning and emotional well-being ranged from 35.2% (boys in grades 7 to 9) to 51.0% (girls in grades 10 to 12). The prevalence of feeling sad and hopeless ranged from 31.4% (boys in grades 7 to 9) to 57.7% (girls in grades 10 to 12). All nine victimization types were associated with increased odds of having moderate/languishing mental health functioning and emotional well-being and feeling sad and hopeless for both boys and girls in grades 7 to 9 and 10 to 12, although some gender and grade differences were noted. A dose-response trend was found with increased odds of moderate/languishing mental health functioning and emotional well-being corresponding with increased frequency of being victimized. A similar trend was noted for girls only for feeling sad and hopeless. Effective prevention and intervention strategies targeting boys and girls and across grades 7 to 12 are needed to improve mental health functioning and emotional well-being, and reduce feelings of sadness and hopelessness among adolescents with victimization experiences.
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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 | 0.000 | 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 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".