Psychological and Physiological Markers of Stress in Concussed Athletes Across Recovery Milestones
Bibliographic record
Abstract
BACKGROUND: Sport-related concussions are associated with a range of physical, cognitive, and behavioral disturbances that are highly variable across individuals. Much remains unknown about the effects of sport concussion, and changes in markers of psychological and physiological stress over the recovery timeline. OBJECTIVE: To examine psychological (mood, stress, sleep quality, and symptoms) and physiological (heart rate variability and salivary cortisol) measures in concussed athletes over clinical recovery milestones. SETTING: University athletic program, sport medicine clinic, Canada. PARTICIPANTS: A sample of 52 interuniversity athletes (32 male and 20 female), 26 with concussion and 26 healthy controls. DESIGN: Case-control repeated measures study at 3 time points of the clinical recovery process. Measures were administered to a matched control sample of uninjured athletes as well. MAIN MEASURES: Physiological measures were heart rate variability and salivary cortisol; psychological measures were mood, perceived stress, and quality of sleep. RESULTS: Psychological measures were significantly worse for concussed athletes relative to controls at the symptomatic phase (acute injury), but significantly better at return-to-play (RTP). Multivariate analysis of heart rate variability identified main effects of sex and concussion, with reduced high-frequency heart rate variability for females and concussed athletes extending into the post-RTP phase. An interaction effect was also observed, showing the cardiac response of female athletes was more sensitive to concussion compared with males. Conversely, male athletes showed greater suppression of low-frequency heart rate variability associated with mood disturbances. CONCLUSION: This integrated study of psychological and physiological markers in concussed athletes confirmed the resolution of mood disturbances, symptoms, and sleep quality by RTP, but identified autonomic nervous system disturbances, as measured by depressed heart rate variability beyond RTP.
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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) | 0.001 | 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".