Effects of exercise on symptoms, cognitive and motor performance tasks using the sport concussion assessment tool (SCAT2) in healthy young adults and children
Bibliographic record
Abstract
Objective To document the effect of high intensity exercise on the Sport Concussion Assessment Tool 2 (SCAT2) scores in healthy young adults and children. Design Repeated measures design. Setting McGill University Athletics Department (adults) and Elementary School in the Montreal area (children). Participants Seventy six healthy young adults (45 women and 31 men, mean age 22.5±1.9 years) and 13 children (6 girls and 7 boys, mean age 10.7±0.4 years) participated in this study. Intervention Participants performed the Léger Test, a maximal multistage 20 m shuttle run test, to their perceived volitional exhaustion. Main Outcome Measurements The SCAT2 was used to evaluate participants at rest, 2 min and 25 min post-exercise. Results In adults, total SCAT2 scores were significantly decreased immediately after high intensity exercise (p<0.001) and returned to baseline after the allocated rest period (p=0.350). Individual components of the SCAT2 also reflected this for symptom severity (p<0.001), and total balance score (p<0.001). High intensity exercise had no effect on delayed recall memory (p=0.242). Children in our small sample revealed a tendency for a similar impact of high intensity exercise on SCAT2 scores although statistical significance was not reached. Conclusions High intensity exercise, such as that achieved during a sporting event, has an impact on aspects of functioning assessed by the SCAT2. Clinical Relevance In order to eliminate the effects of exercise when testing individuals on the field immediately post-injury, professionals should allow for proper rest before using the SCAT2. Acknowledgements Participants and their families, Gardenview Elementary School for allowing testing within their institutions, Fonds de recherche du Québec-Santé, School of Physical and Occupational Therapy McGill University. Competing interests None.
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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) | 0.001 | 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) | 0.001 | 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".