The relationship between core stability and rupture of anterior cruciate ligament in soccer players
Bibliographic record
Abstract
Introduction: ACL Tearing is one of the most common injuries among athletes. In previous studies, the association between ACL injury and factors such as gender, age, type of sport activity, level of sexual hormones and joint laxity has been evaluated. Although diminished endurance of the lower trunk and core body muscles seems to play a potential role in ACL injury, these factors have not been evaluated adequately. The main objective of the present study is to assess the relationship between core stability and rupture of anterior cruciate ligament in soccer players. Materials and Methods: In this cross-sectional study, the endurance of trunk extensors, trunk flexors and trunk lateral flexors were measured in 30 professional soccer players among whom 15 persons had unilateral torn ACL (mean age = 23.4) and the remaining had normal ACL (mean age = 21.7) .We performed the McGill and Biering-Sorensen tests to measure the endurance of these muscles in both groups utilizing a digital chronometer. Results: The endurance of trunk extensors, trunk flexors and trunk lateral flexors were statistically lower in soccer players with torn ACL compared to the soccer players with normal functioning ACL (P < 0.05). Conclusion: Diminished endurance of the trunk muscles is a possible factor that increases the chance of ACL rupture in soccer players. This certainly has to be proved with prospective comparative studies and, if it is the case, then increasing the endurance of these muscles can possibly decrease the risk of ACL injury. Keywords: Core stability, Lower trunk muscles, Anterior cruciate ligament, Soccer 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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".