Relationship between essential amino acids and muscle mass, independent of habitual diets, in pre- and post-menopausal US women
Bibliographic record
Abstract
The purpose of this secondary analysis was to examine the relationship between protein and essential amino acids (EAAs) intake with the level of muscle mass (MM) independent of the diet. Twenty-one omnivores, 22 ovo-lacto-vegetarians and 20 vegans were recruited. MM (urinary creatinine), dietary intake (5-day dietary records) and biochemical analyses (urinary and plasma sex hormones) were obtained. We observed no significant difference between groups for MM, total EAA intake, leucine, isoleucine, age and body mass index. However, we observed a significant difference between groups for total dietary protein intake and total energy intake. Despite significant differences in total dietary protein, the EAA intake was not different, indicating that neither the amount nor the quality of protein in these diets was a limiting factor in determining the amount of MM. Thus, each of these diet patterns appears adequate to maintain MM.
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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 | 0.000 | 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 | 0.000 |
| 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".