Rhythmic gymnasts’ injuries in a pediatric sports medicine clinic in the United States: a 10-year retrospective chart review
Bibliographic record
Abstract
OBJECTIVES: Rhythmic gymnastics injuries have not been studied thoroughly especially in the United States. Existing research studies are predominantly from Europe or Canada or from more than 15 years ago. The purpose of our study was to provide an updated description of injury patterns among rhythmic gymnasts in the United States. METHODS: A retrospective chart review was conducted of 193 rhythmic gymnastics injuries in 79 females, ages 6-20. Patients were seen between January 2010 and March 2020 in a hospital-based pediatric sports medicine clinic. Gymnast demographics, injury locations, and injury types were collected as available. Descriptive and bivariate statistical analysis was performed using general linear mixed models. RESULTS: 2.61 years. Overuse injuries (76.7%) were more common than acute injuries (23.3%). The most common injury types were strain (20.7%), nonspecific pain (15.5%), and tendinitis/tenosynovitis (10.36%). The most frequently injured body regions were lower extremity (75.1%), followed by trunk/back (19.2%), upper extremity (4.7%), and head/neck (1.0%). The most common injured body parts were foot (24.9%), ankle (15.5%), knee (15.0%), lower back (14.0%), and hip (13.0%). General linear mixed models revealed that older age (p = 0.001) and higher competitive level (p = 0.016) were associated with a greater number of diagnoses. Gymnasts with foot injuries were older than gymnasts with ankle (p = 0.026), hip (p < 0.0001), and knee (p = 0.002) injuries. Gymnasts with higher BMI-for-age percentile were more likely to have acute injuries than overuse (p = 0.035). CONCLUSION: Our data showed that injuries among rhythmic gymnasts were most frequently located in the lower extremities, specifically the foot, followed by trunk/back. Additionally, the most frequent injury types were strains and nonspecific pain, and overuse was the most prevalent mechanism. Gymnasts with foot injuries were older than gymnasts with ankle, hip, and knee injuries. Higher BMI is a predictor of acute injuries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".