088 The epidemiology of sport-related shoulder injuries among youth: a systematic review
Bibliographic record
Abstract
<h3>Background</h3> Youth around the globe place their shoulders at risk for injury when participating in sports. Shoulder injuries may vary in severity, produce the potential for time-loss from sport, and result in functional disability. <h3>Objective</h3> To explore youth sport-related shoulder injuries by identifying injury rates, risk factors, injury mechanisms, and injury prevention strategies. <h3>Design</h3> Systematic review. <h3>Setting</h3> All relevant full-text articles identified from searching MEDLINE, EMBASE, CINAHL, Sport Discus, and Cochrane Controlled Trials Registry (no date restrictions; final search August 3<sup>rd</sup>, 2021) <h3>Participants</h3> All full-text studies reporting original research describing the burden of sport-related shoulder injury among female and/or male youth from 5 to 18 years old. Studies were excluded if they were synthesis/review papers, were small case series (<10 participants), the participants included >10% adult participants; or if the full-text was not available. <h3>Main Outcome Measures</h3> Injury rates, risk factors, injury mechanisms, and injury prevention modalities as they relate to youth sport-related shoulder injuries. <h3>Results</h3> Of 3,889 studies screened, 97 described shoulder injury in youth sport. Shoulder injuries were identified in 23 unique sports. Median seasonal prevalence of shoulder injury was 10.9% (range 1.2–28.2%). The most common injury mechanisms identified were contact with another player, contact with the playing environment, and falling to the ground. Risk factors for shoulder injury identified were side-to-side strength imbalances, weak external rotator muscles, and scapular dyskinesia. Two studies evaluated successful training strategies to prevent shoulder injury, but two others demonstrated no effect. <h3>Conclusions</h3> Sport-related shoulder injuries are prevalent among youth athletes. Injury risk factors identified included modifiable intrinsic factors such as strength, range-of-motion, and training load. The most common injury mechanism was direct contact with either another person or an object in the playing environment. Innovative shoulder-specific strategies are needed to reduce shoulder injuries 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".