Characteristics of injuries among elite badminton players: a systematic review
Bibliographic record
Abstract
Badminton is a fast-paced sport that requires a high level of skill. Despite its non-contact nature, badminton can still result in injuries. This review aimed to identify the characteristics of musculoskeletal injuries in elite badminton players. A systematic search was conducted through the electronic bibliographic databases between 2013 and 2025. The study followed the PRISMA guidelines, registered in PROSPERO, and article quality assessment was conducted using the Newcastle Ottawa Scale. A total of 11 eligible articles were included. Over 45% of elite badminton players have been injured in the past year. The most common location of injuries was at the lower extremity (54-71%), followed by the upper extremity (30-46%); tendinopathy (6-70%) and sprain (10-32%) are the most common types of injury. Identifying the characteristics of injuries in elite badminton players can provide valuable insights for healthcare professionals to develop effective injury prevention strategies for athletes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".