Investigating correlates of athletic identity and sport-related injury outcomes: a scoping review
Bibliographic record
Abstract
OBJECTIVES: To conduct a scoping review that (1) describes what is known about the relationship between athletic identity and sport-related injury outcomes and (2) describes the relationship that an injury (as an exposure) has on athletic identity (as an outcome) in athletes. DESIGN: Scoping review. PARTICIPANTS: A total of n=1852 athletes from various sport backgrounds and levels of competition. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary measure used within the studies identified was the Athletic Identity Measurement Scale. Secondary outcome measures assessed demographic, psychosocial, behavioural, physical function and pain-related constructs. RESULTS: Twenty-two studies were identified for inclusion. Samples were dominated by male, Caucasian athletes. The majority of studies captured musculoskeletal injuries, while only three studies included sport-related concussion. Athletic identity was significantly and positively associated with depressive symptom severity, sport performance traits (eg, ego-orientation and mastery-orientation), social network size, physical self-worth, motivation, rehabilitation overadherence, mental toughness and playing through pain, as well as injury severity and functional recovery outcomes. Findings pertaining to the association that an injury (as an exposure) had on athletic identity (as an outcome) were inconsistent and limited. CONCLUSIONS: Athletic identity was most frequently associated with psychosocial, behavioural and injury-specific outcomes. Future research should seek to include diverse athlete samples (eg, women, athletes of different races, para-athletes) and should continue to reference theoretical injury models to inform study methodologies and to specify variables of interest for further exploration.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".