319 Knee and ankle overuse injuries in youth basketball players
Bibliographic record
Abstract
<h3>Background</h3> Current scientific evidence reveals that overuse injuries may be more prevalent in youth basketball players than previously reported. Many basketball injuries result from gradual onset overuse mechanisms associated with pain, but not resulting in absence from basketball participation. <h3>Objective</h3> To determine the season prevalence and burden of all complaint overuse knee injuries (OKIs) and ankle injuries (OAIs) in youth basketball players. <h3>Design</h3> Cohort study. <h3>Setting</h3> Youth basketball, Calgary, Canada. <h3>Patients (or Participants)</h3> A convenience sample of 83 (47F, 36M; Ages 16–18; N=7) senior team high school basketball players. <h3>Interventions (or Assessment of Risk Factors)</h3> The Oslo Sports Trauma Research Centre Overuse Injury Questionnaire was used weekly to register OKIs and OAIs over 16 weeks. <h3>Main Outcome Measurements</h3> Self-reported OKIs (e.g., patellar tendinopathy, patellofemoral syndrome) and OAIs (e.g., Achilles tendinopathy) and symptom duration. <h3>Results</h3> Female teams participated in 52 basketball sessions (range 42–61, SD 8.6, 42% games) and males in 53 sessions (range 51–54, SD 1.2, 42% games). In the season, 30.4% of females and 27.8% of males reported an OKI and 19.1% of females and 8.3% of males an OAI. The median symptom duration (burden) of OKIs was 7 weeks for females and 4 weeks for males. Median time to onset for new OKI cases was 4 weeks for female players and 7 weeks for male players. The median symptom duration of OAIs was 9 weeks for females and 2 weeks for males. Median time to onset for new OAI cases was 3 weeks for females and 7 weeks for males. <h3>Conclusions</h3> The seasonal prevalence and symptom duration of OKIs and OAIs is higher in female youth basketball players compared to males. OKIs represent a greater proportion of lower extremity overuse injury in males compared to OAIs. Females reported new OKIs and OAIs earlier in the season compared to males.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".