Health promotion in elite Para sport: bridging knowledge gaps and addressing individual needs—a qualitative evaluation of the Safe and Healthy Para sport (SHAPE) intervention
Bibliographic record
Abstract
OBJECTIVE: To qualitatively explore the perceptions of Para athletes, coaches and stakeholders of the implementation, use and effects of the health promotion intervention 'Safe and Healthy Para sport' (SHAPE). A secondary aim was to explore participants' perceptions of how safety and health in Para sport could be further developed. METHODS: As part of a process evaluation, this qualitative, descriptive study applied a thematic analysis approach. In total, 18 participants (athletes, coaches and staff) from Sweden and South Africa participated in three focus groups. RESULTS: Three themes were generated from the focus groups: 'how to reach every Para athlete in implementation and use', 'proactive athlete growth and support', and 'opportunities for sustainable Para sport'. Participants perceived that the SHAPE intervention was end-user friendly and that it was difficult to find health promotion material for Para athletes elsewhere. Athletes had used the health information to recover from injuries, and their awareness of mental health conditions had increased. Athletes also identified a need for more individualised content, but some athletes were not aware of the health platform. It was suggested that health promotion in Para sport could be better facilitated by peer support. The weekly athlete health monitoring fostered a sense of accountability both among athletes and within the sports organisation, but participants still perceived that medical evaluations are mostly neglected in Para sport and voiced a need to strengthen medical and economic support structures. CONCLUSION: Health promotion can be used to improve health and well-being among Para athletes. However, it was challenging to reach out to the individual athlete, suggesting that health promotion should be implemented in each layer of the socioecological model within Para sport.
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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 | 0.030 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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 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".