Concussion and concurrent cognitive and sport-specific task performance in youth ice hockey players: a pilot study
Bibliographic record
Abstract
Objective To determine the influence of concussion on cognitive performance while completing concurrent sport-specific tasks to further inform return to play protocols for youth athletes. Design This descriptive case pilot study compared the performance of youth ice hockey players who had experienced a concussion in the last ice hockey season to non-injured controls. Setting Youth athletes were assessed while performing ice hockey skills in an ice hockey arena. Participants Four male youth ice hockey players who experienced a concussion during the previous ice hockey season (mean age=11.7±0.29 years; mean time since injury=92.5±49.0 days) and nine non-injured control subjects (mean age=11.4±1.0 years). Intervention Participants completed a randomised combination of four tasks (unobstructed skating, visual interference task, avoiding a fixed obstacle, stickhandling an ice hockey puck). Outcome Measures Response errors and response reaction time dual-task costs during visual interference task (modified Stroop task). Results Participants who experienced a concussion within the past ice hockey season and were ≤58 days post-injury demonstrated significantly poorer cognitive performance (increased dual task cost) across all conditions when performing concurrent sport-specific skills (based on 95% CI). Conclusions Youth ice hockey players with a more recent concussion demonstrated greater cognitive deficits compared to controls. This study acts as an initial step towards the development of an ecologically valid, sport-specific assessment of functional performance following concussion in youth ice hockey players. Acknowledgements Ontario Neurotrauma Foundation, Quebec Rehabilitation Research Network (ONF-REPAR). 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 | 0.001 |
| 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) | 0.001 | 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".