Meal Composition and Iron Status of Experienced Male and Female Distance Runners
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study compared the iron status of middle-distance runners consuming meals providing low-medium iron availability (LMIA) or medium-high iron availability (MHIA), and determined the effect of a 4-week intervention on iron status in LMIA participants. Seventeen university-aged competitive runners and eight inactive controls participated. Mean serum ferritin levels were significantly greater in the MHIA group (58.7 ± 9.7ng·mL−1) than in the LMIA group (43.6 ± 10.9 ng·mL−1). Significant (p < 0.05) correlations were noted between absorbable dietary iron and serum iron (r = 0.639), total iron binding capacity (r = −0.636) and hemoglobin (r = 0.523). The mean absorbable dietary iron was significantly greater following the intervention in LMIA males (Test 1, 0.97 ± 0.3 mg·day−1; Test 2, 1.54 ± 0.5 mg·day−1; p < 0.05). Dietary advice did not improve iron status. These data suggest that meal composition may influence the amount of iron available for absorption and for maintaining iron status over time.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it