Former athletes’ lifestyle and self-definition changes after retirement from sports
Bibliographic record
Abstract
BACKGROUND: Every high-level athlete will eventually see his or her sport career come to an end. Most former athletes will experience changes in their self-definition and everyday behaviors as they accept a nonathletic way of life. The present study aimed to identify discrepancies between actual and former athletes regarding athletic identity, physical activity (PA), and nutrition habits. METHODS: Actual athletes (AA; n = 122), former athletes (FA; n = 230), and nonathletes (NA; n = 74) were asked to complete an online questionnaire on athletic identity, duration and intensity levels of occupational and leisure time PA, and nutritional habits. RESULTS: FA healthy nutrition score was the lowest of the 3 groups and significantly different from that of AA. Athletic identity and intense and moderate PA during leisure time consistently decreased (p < 0.01) across the 3 groups (AA > FA > NA). No significant difference between FA and NA was found regarding either nutritional habits or type of PA. CONCLUSION: Sport retirement may affect FA quality of nutritional habits that tends to decline below the NA level, as well as the amount of time spent practicing physical activities during leisure time. Athletic status does not ensure PA practice during sport postcareer.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".