Which psychosocial factors are associated with return to sport following concussion? A systematic review
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Psychosocial factors predict recurrent injury and return to preinjury level of performance following orthopedic injury but are poorly understood following concussion. Current management protocols prioritize physical measures of recovery. Therefore, the objective of this study was to describe the psychosocial factors associated with return to sport (RTS) and how they are measured in athletes who sustained a concussion. METHODS: MEDLINE, Embase, APA PsycINFO, CINAHL, and SPORTDiscus were searched through February 2, 2021. Eligible studies included original peer-reviewed publications describing psychosocial factors associated with RTS following a diagnosed concussion. The primary outcome was scales or measures employed and/or key thematic concepts. RESULTS: Of the 3615 studies identified, 10 quantitative cohort studies (Oxford Centre for Evidence-Based Medicine Level-3) representing 2032 athletes (85% male; high-school and collegiate collision/contact athletes) and 4 qualitative studies representing 66 athletes (74% male; 70% American football; aged 9-28 years) were included. We identified 3 overarching themes and 10 outcome measures related to psychosocial factors associated with RTS following concussion: (a) fear (e.g, of recurrent concussion, of RTS, of losing playing status); (b) emotional factors (e.g, depression, anxiety, perceived stress, mental health, disturbance mood); and (c) contextual factors (e.g, social support, pressure, sense of identity). CONCLUSION: Although current medical clearance decisions prioritize physical measures of recovery, evidence suggests diverse psychosocial factors influence RTS following concussion. It remains unclear which psychosocial factors contribute to a successful RTS, including the influence of sex/gender and age. Future studies should evaluate the association of psychological readiness with physical measures of recovery at medical clearance, preinjury level of performance, and risk of recurrent concussion to support RTS clinical decision-making.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it