Factors Affecting Ankle Support Device Usage in Young Basketball Players
Bibliographic record
Abstract
This cross-sectional study explores factors affecting the decision of basketball players to wear ankle support devices (ASDs). A questionnaire regarding attitudes towards ASD usage was developed based on the Health Belief Model (HBM). The questionnaire assessed HBM perceptions (susceptibility, severity, benefits, and barriers) and modifying factors (demographic, personal history of ankle injury, influence of coach to preventive action) that may affect an athlete's decision to wear ASDs. One hundred forty basketball players competing at the recreational, high school, or university levels completed the questionnaire, with the questionnaires being completed at the basketball gymnasium or at home. It was found that athletes whose coaches enforced ASD use were significantly more likely to wear them (OR: 35.71; 95% CI: 10.01, 127.36), as were athletes who perceived ankle injuries to be severe (OR: 2.77; 95% CI: 1.04, 7.37). Previous injury did not significantly increase the odds of using an ASD. The combined influence of coach enforcement and previous injury had the greatest effect on increasing ASD use. The largest barrier to ASD use was a lack of aesthetic appeal. Strategies aimed at increasing players' willingness to wear ankle protection should be emphasized among coaches and parents as this may increase use of ASDs.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".