Epidemiology of Acute Soccer Injuries in Canadian Children and Youth
Bibliographic record
Abstract
OBJECTIVES: To describe acute injury characteristics in children and youth soccer players and to identify the characteristics of patients who required hospital admission. METHODS: The analysis of the study was based on the Canadian Hospitals Injury Reporting and Prevention Program. A total of 32,149 patients (aged 5-19 years) with soccer-related injuries presenting to 16 participating hospital emergency departments from 1994 to 2004 were included in the analysis. RESULTS: Males had the highest proportion of injuries (62%). The leading injuries were sprains/strains (38%), followed by fractures/dislocations (31%) and superficial injuries (23%). A total of 896 cases (3%) required hospital admission. Based on logistic regression analysis, being a male, playing unorganized soccer, having multiple body injuries, playing soccer outside school premises, and playing during the summer/fall increased the likelihood of hospital admission. Moreover, having a head/face/neck injury (Odds ratio [OR], 1.3; 95% confidence interval [95% CI], 1.1-1.7) and trunk injury (OR, 1.7; 95% CI, 1.2-2.4) as compared with an upper extremity injury and having injuries from contact with structures/surfaces (OR, 3.1; 95% CI, 2.2-4.3) and with other players (OR, 2.5; 95% CI, 1.8-3.5) as compared with ball contact had the highest odds of hospital admission. CONCLUSIONS: Soccer accounted for a significant proportion of injuries presented to Canadian Hospitals Injury Reporting and Prevention Program emergency departments during 1994-2004. Further studies investigating potential interventional programs and techniques among this population are highly warranted.
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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) | 0.001 | 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".