Relationship between Ground Reaction Force and Stability Level of the Lower Extremity in Runners
Bibliographic record
Abstract
Background: Neuromuscular control is critical for providing protection from injury during dynamic activities. Running injuries have been associated with high ground reaction forces (GRF) which may be related to poor lower extremity stability in runners. Objective: To identify the relationship between peak active vertical GRF (VGRF) measured during running and Star Excursion Balance Test (SEBT) scores in a group of recreational runners. Design and Setting: Subjects were assessed for lower extremity stability using the SEBT, and for peak active VGRF while running across a force plate in a laboratory setting. Scores were then correlated. Subjects: Seventeen healthy adults who ran at least 15 miles/wk were recruited. Measurements: The reaching length of the SEBT was measured from 3 directions (anterior, lateral, & posterior) of each foot, and the peak active VGRF was measured from the left foot while running across a force plate. Data were reduced using Pearson correlation coefficient, p < 0.05. Results: While the previously injured runners produced higher active VGRF (2.48 v 2.24 BW) and lower SEBT scores (45.09 v 51.83cm) as compared to the previously non-injured runners, there was no
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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 | 0.000 |
| 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".