Hip Pain Increases With Age and Experience Level in Adult Karate Athletes: A Statewide Survey Study
Bibliographic record
Abstract
Purpose: To investigate the prevalence of hip pain from labral tears and femoroacetabular impingement (FAI) in karate athletes using a statewide online survey. Methods: An anonymous electronic survey was distributed via Qualtrics to all registered members of a statewide karate organization who were a purple belt or higher. Basic demographic information was collected as well as belt level, competitive level, and information regarding hip pain and treatment for hip pain. Microsoft Excel was used to store and analyze data. Results: Of 180 respondents, 123 (68.3%) never had hip pain when practicing karate, and 54 (30.0%) had hip pain at some point in their karate career. Three subjects did not provide an answer and were excluded. Furthermore, of the symptomatic individuals, 52 reported the location of their hip pain, whereas 2 subjects did not. Of the symptomatic individuals (54), 32 had formal diagnoses by a medical professional, 4 (12.5%) were diagnosed with FAI of the hip, 6 (18.8%) diagnosed with a hip labral tear, 3 (9.4%) diagnosed with hip bursitis, 3 (9.4%) diagnosed with hip arthritis, and 16 (50%) had other diagnoses. The remaining 22 participants have not received a formal diagnosis by a medical professional. Conclusions: The prevalence of hip pain in karate athletes in this survey was lower compared to athletes of other martial arts and kicking sports. No differences in the percentage of injuries were found between sex and years practiced; however a higher incidence of hip pain was found between elite status and age group. When evaluating hip pain in the karate population, orthopaedic surgeons should maintain an index of suspicion for FAI and hip labral tears. Level of Evidence: Level IV, retrospective cross-sectional study.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".