Psychological, social and contextual factors across recovery stages following a sport-related knee injury: a scoping review
Bibliographic record
Abstract
OBJECTIVE: To explore the role of psychological, social and contextual factors across the recovery stages (ie, acute, rehabilitation or return to sport (RTS)) following a traumatic time-loss sport-related knee injury. MATERIAL AND METHODS: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews and Arksey and O'Malley framework. Six databases were searched using predetermined search terms. Included studies consisted of original data written in English that identified or described a psychological, social or contextual factor related to recovery after a traumatic time-loss sport-related knee injury. Two authors independently conducted title-abstract and full-text reviews. Study quality was assessed using the Mixed Methods Appraisal Tool. Thematic analysis was undertaken. RESULTS: Of 7289 records, 77 studies representing 5540 participants (37% women, 84% anterior cruciate ligament tears, aged 14-60 years) were included. Psychological factors were investigated across all studies, while social and contextual factors were assessed in 39% and 21% of included studies, respectively. A cross-cutting concept of individualisation was present across four psychological (barriers to progress, active coping, independence and recovery expectations), two social (social support and engagement in care) and two contextual (environmental influences and sport culture) themes. Athletes report multiple barriers to recovery and valued their autonomy, having an active role in their recovery and diverse social support. CONCLUSION: Diverse psychological, social and contextual factors are present and influence all stages of recovery following a traumatic sport-related knee injury. A better understanding of these factors at the time of injury and throughout rehabilitation could assist with optimising injury management, promoting RTS, and long-term health-related quality-of-life.
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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 | 0.015 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".