Self-Administration of Medicines and Dietary Supplements Among Female Amateur Runners: A Cross-Sectional Analysis
Bibliographic record
Abstract
INTRODUCTION: Self-administration of medicines or dietary supplements without any physician's advice is a widespread behavior and appears to be more frequently practiced by women. Moreover, reasons to self-administer products are often pains and injuries especially among athletes who might also use remedies to improve physical performance. The objective of this study was thus to assess the prevalence of self-administration of medicines and dietary supplements as well as its determinants among female amateur runners. METHODS: Our sample was comprised of women who took part in amateur running events. Data regarding self-administration of substances, exclusively aiming at being physically prepared for the running event (i.e., intake the week before), were collected through an anonymous self-administered questionnaire including four specific themes (i.e., general information, self-administered medicines and dietary supplements, context of self-administration of substances and knowledge of the anti-doping regulations). RESULTS: A total of 136 women, with a median age of 39 years (interquartile range: 27-47), volunteered. Among them, 34.6% reported self-administration of medicines during the period immediately preceding the running event, with the aim to be physically prepared. More than one third (33.8%) also declared self-administration of dietary supplements. Furthermore, we observed that about 8.1% of the sample had consumed a potentially doping substance. After adjustments for confounding variables, the probability of self-administration of products (medicines or supplements) increased significantly with the intensity of the activity and the membership in a sports club. CONCLUSIONS: Our study showed that self-administration of products among female runners seems to be a widespread behavior, where the intensity of the sports practice and the network of runners seem to influence the decision to resort to this behavior.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".