An At-Home, Virtually Administered Graded Exertion Protocol for Use in Concussion Management: Preliminary Evaluation of Safety and Feasibility for Determining Clearance to Return to High-Intensity Exercise in Healthy Youth and Children With Subacute Concussion
Bibliographic record
Abstract
Graded exertion testing (GXT) is an important tool for concussion management, as it is used to personalize post-concussion exercise prescription and return athletes to sport. However, most GXT requires expensive equipment and in-person supervision. Our objective was to assess the safety and feasibility of the Mo ntreal V irtual E xertion (MOVE) protocol, a no-equipment, virtually compatible GXT, in healthy children and children with subacute concussion. The MOVE protocol consists of seven stages of bodyweight and plyometric exercises performed for 60 sec each. Twenty healthy (i.e., non-concussed) children completed the MOVE protocol virtually over Zoom Enterprise. Next, 30 children with subacute concussion (median: 31.5 days post-injury) were randomized to the MOVE protocol or Buffalo Concussion Treadmill Test (BCTT), which increases the incline or speed of the treadmill every minute until maximum exertion. Out of an abundance of caution, all concussed participants completed the MOVE protocol in an in-person clinical space. However, the test evaluator was stationed in a different room within the clinic and administered the MOVE protocol using Zoom Enterprise software to mimic telehealth conditions. Safety and feasibility outcomes were recorded throughout GXT, including heart rate, rate of perceived exertion (RPE), and symptom outcomes. No adverse events were recorded, and all feasibility criteria were successfully met in healthy youth and youth with concussion. Among concussed youth, increases in heart rate (MOVE: 82.4 ± 17.9 bpm, BCTT: 72.1 ± 23.0 bpm; t (28) = 1.36, p = 0.18), RPE (MOVE: 5.87 ± 1.92, BCTT: 5.07 ± 2.34, t (28) = 1.02, p = 0.32), and overall symptom presentation were similar between the MOVE and BCTT protocols. The MOVE protocol is a safe and feasible GXT in healthy youth and youth with subacute concussion. Future studies should assess the fully virtual administration of the MOVE in children with concussion, MOVE protocol tolerability in children with acute concussion, and whether the MOVE protocol can be used to guide individualized exercise prescription.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".