Physical and emotional health problems experienced by youth engaged in violent behaviour
Bibliographic record
Abstract
Purpose (1) To provide contemporary cross-national estimates of the prevalence of physical fighting and weapon carrying among children aged 11–15 years; (2) To examine the combined effects of physical fighting and weapon carrying on the occurrence of physical and emotional health outcomes among adolescents. Methods 20 125 adolescents aged 11–15 in five countries (Belgium, Israel, USA, Canada, FYR Macedonia) were surveyed via the 2006 Health Behaviour in School Aged Children survey. Prevalence was calculated for measures of violence (physical fighting, weapon carrying). Reports of specific physical (medically treated injury) and emotional symptom measures that represented potential health outcomes of violence were also assessed. Regression analyses were used to quantify associations between violence and the potential health consequences within each country. Results Large variations in fighting and weapon carrying were observed across the countries. Boys reported more frequent episodes of violent behaviour and medically attended injuries in every country, while girls reported more emotional symptoms. Increased weapon carrying and physical fighting were both independently associated with more frequent reports of the health outcomes (eg, OR point estimates 1.7 to 4.5; p<0.0001), but those adolescents engaged in both behaviours were not proportionally at increased risk. Conclusions Adolescents engaging in violent behaviour are also at risk for physical and emotional health outcomes. Violent behaviour may be part of a constellation of risk behaviours with health implications. Our findings also highlight the importance of the cultural context when examining the nature of violent behaviour for adolescents.
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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 | 0.001 |
| 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".