‘It’s just my knee’: a qualitative study investigating the process of reframing and young athletes’ perceived quality of life between anterior cruciate ligament injury and surgery
Bibliographic record
Abstract
OBJECTIVES: To understand the factors influencing young athletes' perceptions of quality of life (QOL) following an anterior cruciate ligament (ACL) rupture, prior to reconstructive surgery. DESIGN: Qualitative descriptive study using semi-structured interviews and thematic analysis of data. SETTING: Tertiary sports medicine clinic with patients recruited from the practices of three specialist orthopaedic surgeons. PARTICIPANTS: Twenty athletes aged 14-25 provided consent to participate in the study and completed interviews prior to their ACL reconstruction surgery. Participants were eligible to participate if they were scheduled to undergo ACL reconstruction, were 25 years of age or younger, identified as athletes (participated in any level of organised sport), could communicate in English and agreed to be audio recorded. Participants were not eligible if they had experienced a multiligament injury or fracture. RESULTS: Young athletes shared common factors that made up their QOL; social connections and support, sport, health, and independence. However, participants' perceptions of their current QOL were quite variable (13-95/100 on a Visual Analogue Scale). Participants who were able to reframe their injury experience by shifting focus to the positive or unaffected aspects of their lives tended to have more favourable perceptions of their QOL than participants who shifted focus to the losses associated with injury. CONCLUSIONS: Young athletes who have experienced an ACL injury define their QOL based on social support, sport, health and independence. Individual processes of adaptation and cognitive reframing in response to an ACL injury may exert a greater influence on postinjury QOL than the physical ramifications of the injury itself. Understanding individual perceptions may help target potential interventions or supports to enhance athletes' adaptation to injury.
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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 | 0.016 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".