The epidemiology of non-fatal injuries among 11-, 13- and 15-year old youth in 11 countries: findings from the 1998 WHO-HBSC cross national survey
Bibliographic record
Abstract
The primary objective was to present a cross-country comparison of injury rates, contexts and consequences. The research design was the analysis of data from the 1998 cross-national Health Behaviour in School-aged Children survey and 52955 schoolchildren from 11 countries, aged 11, 13 and 15 years, completed a self-administrated questionnaire. A total of 41.3% of all children were injured and needed medical treatment in the past 12 months. Injury rates among boys were higher than among girls, 13.3% reported activity loss due to injury and 6.9% reported severe injury consequences. Most injuries occurred at home and at a sport facility, mainly during sport activity. Fighting accounted for 4.1% of injuries. This paper presents the first cross-national comparison of injury rates and patterns by external cause and context. Findings present cross-country similarities in injury distribution by setting and activity. These findings emphasize the importance of the development of global prevention programmes designed to address injuries among youth.
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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 | 0.008 | 0.002 |
| 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 | 0.001 |
| 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".