Athletic identity and psychiatric symptoms following retirement from varsity sports
Bibliographic record
Abstract
BACKGROUND: Despite evidence identifying adjustment difficulties among retiring athletes, research investigating factors that contribute to post-retirement complications is limited. Athletic identity may be an important determinant of adverse adaptation to sport retirement. AIMS: The purpose of this study was to address the influence of athletic identity on post-retirement depression and anxiety symptoms among varsity athletes. METHOD: An anonymous, online survey regarding athletic identity and psychiatric symptoms was completed by 72 self-identified varsity athletes during their final season of competition and 3 months after retiring from sport. RESULTS: After controlling for the effects of pre-retirement anxiety symptoms, endorsement of an athletic identity significantly predicted anxiety symptoms in the post-retirement period. A similar, but non-significant, pattern was observed for depressive symptoms. CONCLUSION: The findings of this study suggest that athletes' degree of athletic identity may be a risk factor for the emergence of psychiatric distress in the months following their retirement from sport. Identity-focused screening or intervention during athletes' sport careers could potentially mitigate some of the psychological difficulties associated with sport retirement.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".