Injuries during the 2006 Women’s Rugby World Cup
Bibliographic record
Abstract
BACKGROUND: Although there have been reports of injury rates in men's World Cup rugby, there has been no research into injury rates in women's international rugby. OBJECTIVE: To determine the rate of injury at the 2006 Women's Rugby World Cup (WRWC). METHODS: All participating teams in the 2006 WRWC were enrolled prospectively in this study. Healthcare workers for each team collected data on training and game exposure and information on injuries. RESULTS: 55 players (16%) sustained at least one injury (10.0/1000 player hours); 4 players (1%) sustained two injuries. 45 injuries occurred during games (37.5/1000 player hours) and 14 injuries occurred during practice (12.5/1000 player hours), a statistically significant difference (RR = 12.5, 95% CI 6.9 to 22.8). The injury rate was 39.3/1000 player hours for the forwards and 42.2/1000 player hours for the backs (RR = 1.3, 95% CI 0.7 to 2.3). The front row had the highest injury rate (62.5/1000 player hours). 63.6% of injuries occurred during the tackle. Most injuries occurred to the neck, knee and head/face. The majority of injuries were sprains, muscle injuries and contusions. There were five fractures during the event and four reported concussions. CONCLUSION: Female players sustained a considerable rate of injury during the 2006 WRWC. Backs had a slightly higher rate of injury than forwards, but the players most often injured were in the front row. The neck/cervical spine and knee were the most commonly injured regions, followed by the head and face. This is the first study to examine injury rates in female rugby players at a World Cup and reports valuable data in this population.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".