Blood Substrates and Hormonal Response to Increased Egg White Protein Intake Prior to a 12,000m Run in Heat
Bibliographic record
Abstract
This study was undertaken to investigate the effects of isoenergetic and increased amounts of egg white protein one hour before a run on the changes in the post-exercise blood biochemistry and the rating of the perceived exertion (RPE). Twenty-four male distance runners were divided into four groups. Venous blood samples were collected at three time points: just before the experiment (Pre), just after a 12,000 m run (Post 0 h) and one hour after the run (Post 1 h). After the first blood sampling, each participant consumed one of the four isoenergetic supplements (86 kcal); 0 g, 5 g, 10 g, or 20 g of egg white protein. The blood glucose, free amino acid, and branched chain amino acid (BCAA) levels in the 0 g, 5 g, and 10 g protein groups were higher at Post 0 h than at Pre. The pre-exercise intake of the 20 g protein group showed the smallest changes in the blood biochemicals. The RPE scores were significantly higher at Post 0 h, and did not vary among the four protein groups. Accordingly, the pre-exercise carbohydrate intakes significantly altered the post-exercise blood biochemisty findings, but the pre-exercise protein intake did not. Furthermore, the changes in the RPE scores in our present study were not explained by changes in the serum free tryptophan or the BCAA levels, and an increased dietary intake of egg white protein might not prevent post-exercise increases in the RPE scores.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".