FRONTAL KNEE ANGLE DURING SINGLE LEG SQUAT AND VERTICAL DROP JUMP; A COMPARISON OF YOUTH ATHLETES WITH OR WITHOUT A HISTORY OF KNEE INJURY
Bibliographic record
Abstract
Background Knee joint injury has been associated with changes in hip and knee joint function and is a known risk factor for the development of post-traumatic osteoarthritis (PTOA). The Vertical Drop Jump (VDJ) and Single Leg Squat Test (SLS) have been used to examine lower extremity neuromuscular control. Objective To determine if young adults with and without a 3–10 year history of knee joint injury differ in frontal knee angles or knee ankle ratio during VDJ and SLS. Design Historical Cohort. Setting Laboratory Setting. Participants 25 individuals with history of intra-articular knee joint injury, sustained participating in sport 3–10 years previously, and 25 matched (age, sex, sport) uninjured controls (16 males;17–26 yrs: 34 females;14–26 yrs). Risk factor assessment History or no history of intra-articular knee injury (clinical diagnosis resulting in time loss from sport). Main outcome measurements Frontal knee angle (FKA) (degrees) and knee and ankle separation distances (KAR) were measured from an image representing the lowest moment of the SLS and VDJ extracted from video and measured using ImageJ (National Institute of Health, v.1.47) software. Test-retest reliability (sub-sample n=20) was examined (ICC) and descriptive statistics (means, 95%CI) used to compare study groups. Results No differences in right to left FKA differential was found for the injured participants compared to matched controls during the SLS (ICC 0.97) [injured 5.78°(3.01, 8.54); uninjured 4.75°(1.85, 7.66) or VDJ (ICC 0.98) [injured 7.69°(2.58, 12.80); uninjured 9.64°(5.57, 13.70)]. Similarly, no between groups differences for KAR (ICC 0.99) were demonstrated [injured 1.00 (0.90, 1.09); uninjured 1.04 (0.97, 1.12)]. Conclusions Individuals with a 3–10 year history of knee injury demonstrate similar FKA and KAR during the VDJ and SLS compared to healthy controls. These finding are encouraging as the functional joint changes associated with knee joint injury do not appear to be present in this timeframe post-injury.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".