The Role of Sports Psychology in Managing Concussion Recovery and Return to Play
Bibliographic record
Abstract
Objective: This study explores the role of sports psychology in managing concussion recovery and facilitating athletes’ readiness to return to play. Methods and Materials: A qualitative research design was utilized, involving semi-structured online interviews with athletes who had experienced concussions, sports psychologists, and medical professionals. 36 Participants were recruited through purposeful sampling, and data collection continued until theoretical saturation was achieved. The interviews were transcribed and analyzed using NVivo software through an inductive thematic approach, allowing for the emergence of key themes. Reflexivity and researcher triangulation were employed to ensure the rigor and reliability of the findings. Findings: Four main themes emerged: psychological interventions, mental barriers and facilitators in return to play, the role of support systems, and the long-term psychological impact of concussions. Psychological interventions, such as cognitive-behavioral techniques and mindfulness practices, were effective in reducing anxiety and enhancing resilience. Fear of re-injury and performance anxiety were significant barriers, while confidence restoration and motivation levels facilitated recovery. Social support from family, teammates, and coaches played a crucial role in alleviating psychological distress. The long-term impact included identity crises, chronic symptoms, and ongoing mental health concerns, emphasizing the need for holistic support. Conclusion: The findings underscore the importance of integrating psychological interventions in concussion recovery. Addressing fear, anxiety, and identity loss, while enhancing confidence and social support, is crucial for a successful return to play. This study highlights the necessity for comprehensive recovery protocols that consider both physical and psychological readiness. Practitioners should prioritize individualized psychological assessments and foster supportive environments to improve recovery outcomes.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".