The one-week prevalence of overuse-related shoulder pain and activity limitation in competitive tennis players living in Toronto: a feasibility study.
Bibliographic record
Abstract
Objective: We aimed to determine the feasibility of conducting a cross-sectional study to estimate the one-week prevalence of overuse-related shoulder pain and activity limitation in competitive tennis players. Methods: Eligible for the study were competitive adult tennis players who reside in Toronto. Using a convenience sample, the Oslo Sports Trauma Research Centre Overuse Shoulder Injury Questionnaire (OSIQ) was administered online to provide preliminary estimates of the prevalence of shoulder pain and activity limitation, injury severity and pain intensity. Feasibility outcomes included evaluating participation rate and missing data in the questionnaire. Results: Forty-three tennis players were included in the questionnaire (68.3% participation rate, 100% completion rate). There was no missing data. The one-week proportion of those with shoulder pain and activity limitation was 41.9% with a mean injury severity of 33/100. Mean pain intensity was 1.9/10. Conclusion: Our study demonstrates that it is feasible to conduct a cross-sectional study to measure the one-week prevalence of shoulder pain and activity limitation in tennis players.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".