Suicidal thoughts (ideation) among elite athletics (track and field) athletes: associations with sports participation, psychological resourcefulness and having been a victim of sexual and/or physical abuse
Bibliographic record
Abstract
Objective To examine associations between suicidal ideation and sexual and physical abuse among active and recently retired elite athletics (track and field) athletes. Methods The study population consisted of all athletes (n=402) selected for a Swedish Athletics team between 2011 and 2017. Data on suicidal ideation, suicidal events (estimated through the 1 year non-sports injury prevalence), lifetime abuse experiences, sociodemographics, sense of coherence and coping strategies were collected using a cross-sectional survey. The data were analysed using binary logistic regression with suicidal ideation and non-sports injury as outcomes. Results 192 athletes (47.8%) returned data. The prevalence of suicidal ideation was 15.6% (men 17.4%; women 14.2%) and the non-sports injury prevalence was 8.0% (men 11.6%; women 5.7%). Among women, suicidal ideation was associated with having been sexually abused (OR 5.94, 95% CI 1.42 to 24.90; p=0.015) and lower sense of coherence (OR 0.90, 95% CI 0.85 to 0.96; p=0.001) (Nagelkerke R 2 =0.33). Among men, suicidal ideation was only associated with use of behavioural disengagement for coping (OR 1.51, 95% CI 1.18 to 1.95; p=0.001) ( R 2 =0.25). Among women, non-sports injury prevalence was associated with having been sexually abused (OR 8.61, 95% CI 1.34 to 55.1; p=0.023) and participating in an endurance event (OR 7.37, 95% CI 1.11 to 48.9; p=0.039 ( R 2 =0.23), while among men, having immigrant parents (OR 5.67, 95% CI 1.31 to 24.5; p=0.020) ( R 2 =0.11) was associated with injury outside sports. Conclusions About one out of six international athletics athletes reported having experienced suicidal ideation. World Athletics and National Olympic Committees need to include suicide prevention in their athlete protection programmes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".