Profile of an American Amateur Rugby Union Sevens Series
Bibliographic record
Abstract
BACKGROUND: Rugby union will enter the Olympic arena as Rugby Sevens in 2016. PURPOSE: To investigate the injury rate, injury type, and nature of injuries sustained in an amateur American rugby union sevens tournament series. STUDY DESIGN: Descriptive epidemiology study. METHODS: The rate, demographics, and characteristics of injury were evaluated in 1536 rugby union sevens players, from 128 sides, competing in 4 amateur 1-day tournaments in a USA Rugby local area rugby union. RESULTS: Forty-eight injuries occurred over 4 tournaments, for an injury rate of 55.4 injuries per 1000 playing hours. Head and neck injuries were most common (33.3% of injuries), followed by upper extremity (31.3%), trunk (18.8%), lower extremity (14.6%), and physiologic injuries (2.1%). The most common type of injury was ligament sprain (25.0%); followed by concussion (14.6%), hematoma/contusion (12.5%), muscle strain (10.4%), and abrasion (8.3%). Tackling was the most common mechanism of injury (74.5%). Males were injured at a significantly higher rate than females (RR, 7.5, P < .01), but no significant difference was observed based on player position (P = .08). CONCLUSION: Injuries are common among American amateur rugby athletes, with a substantial proportion involving the head and neck region. CLINICAL RELEVANCE: Understanding injury patterns in an American rugby union will be important for formulating future injury prevention, assessment, and treatment protocols.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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".