Injuries and training recommendations in elite rhythmic gymnastics
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Bibliographic record
Abstract
Objective: To identify risk factors for injury in rhythmic sportive gymnastics and to provide recommendations for reducing the risk of injury. Methods: A one-year retrospective survey of injuries in twenty national-level rhythmic gymnasts (ages 14.8 to 18.8 years; mean age 17.1 years). Hours of rhythmic gymnastics (RG) training per week, minutes of stretching per day, and hours of conditioning per week, were analyzed as potential risk factors for injury. Main outcome measures were injuries that required time off, major injuries (at least 7 days off), injuries to muscle-tendon units, and fractures. Results: Thirteen (65%) of 20 gymnasts sustained time-loss injuries, and 4 gymnasts (20%) reported major injuries. Seventeen (85%) gymnasts reported muscle-tendon unit injuries and 5 (25%) suffered fractures. Sixteen (80%) of the gymnasts reported back pain or stress fractures of the back, 8 of whom required time off training. One gymnast (5%) incurred a concussion. Logistic regression indicated that rhythmic gymnastics training and stretching were associated with muscle-tendon unit injury. On multivariate analysis, stretching was found to be the only independent predictor of muscle-tendon unit injuries with each additional minute lowering the risk by approximately 10% (p = 0.01). Conditioning and stretching were both independent predictors of fractures. The risk of fracture was estimated to increase by over 60% for each additional hour of weekly conditioning (odds ratio = 1.62; p = 0.03) and decrease by almost 20% for each additional minute of daily stretching (odds ratio = 0.81; p = 0.04). None of the variables studied were predictive of back pain or injury. Conclusions: Injuries in rhythmic gymnastics may be reduced by increasing the amount of time spent stretching per day (at least 40 minutes), and limiting conditioning to a maximum of 6 hours per week.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it