Development of Chondromalacia Patellae (CP) in Martial Arts Athletes
Bibliographic record
Abstract
Attention to the development of Chondromalacia Patellae (CP) in endurance and aerobic athletes has developed, yet its progression in martial arts and anaerobic activities remains overlooked3. Chondromalacia Patellae characterized by the degeneration of cartilage behind the patella through excessive wear on the patellofemoral joint. This wear is a result of imbalanced and improper mechanics of the knee, hip, and foot in the greater kinetic chain4,5. Although cases of CP progression are well documented, its progression in non-aerobic athletes has not been granted the same attention3. Indiscriminate cartilaginous degeneration in aerobic and non-aerobic athletes ensues from universal mechanics of the musculoskeletal system4. Likened to how aerobic athletes are affected, repetitive stresses exerted on the body in martial arts can ultimately result in CP if an athlete’s body is compromised by vulnerable mechanics of the kinetic chain3. Chondromalacia Patellae is insidious as it develops in subtle misalignments of obscured joint structures2; although martial artists and runners are exposed to different stresses and actions, they share the same kinetic relationships intrinsically governed by the musculoskeletal system. Functional, therapeutic, and morphological studies conclude CP is a chronic structural affliction. Imbalances of muscular strength, ligamentous integrity, and bone morphology each contribute to excessive pressure which causes cartilage wear and chronic knee pain associated with CP5. Its severity can be mitigated, or its progression reversed through correcting improper mechanics. Surrounding musculature can be strengthened to manage structural or functional imbalances through isotonic resistance training, isometric exercises, and isokinetic rehabilitation1,2,5. In addition to functionally balancing the patellofemoral joint, stabilization of the knee and the kinetic chain can be achieved with patellar tracking sleeves, orthotics, or a variety of surgical modalities5. Further study needs to be directed towards diversifying current understandings of CP beyond aerobic athletics, and martial arts provides a frontier where this can be achieved. Department: Allied Health and Human Performance Faculty Mentor: Dr. Dave Kato
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".