Dietary Intake of Vitamins and Minerals in Adolescent Sprint Athletes: A Three Year Follow-up Study
Bibliographic record
Abstract
This study aimed to assess micronutrient intake and supplement use in adolescent sprint athletes. Anthropometrics, micronutrient intake and supplement use of 60 adolescent sprint athletes were recorded every six months over a 3-year period. Age at start was 14.8 ± 1.6 years for the female and 14.7 ± 1.9 years for the male athletes. Over the 3 years, both girls and boys normally gained in body height and - weight. Consistent low intakes were observed for iron in girls, and for calcium, vitamin E and B2 in both sexes, whilst sodium intake exceeded the upper reference limit. Supplements were used without prescription and athletes with the better nutritional profile showed higher supplement use compared to those with poorer habits. General non-stringent advice for dietary improvement resulted in significantly favourable changes only for the consumption of wholegrain bread, vegetables, and soft drinks. Micronutrient intakes of adolescent sprint athletes are relatively stable and not always according the guidelines, regardless of supplement use. Repeated nutritional feedback induced only moderate improvements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".