Dietary protein requirement of 65–75 year old females using indicator amino acid oxidation (IAAO) technique
Bibliographic record
Abstract
Studies of dietary protein requirement in vulnerable groups, including elderly adults, are needed using methods other than nitrogen balance. The objective of this study was to determine the protein requirement in 8 healthy free‐living elderly females (65 – 75y old) by measuring the oxidation of L‐[1‐ 13 C]‐phenylalanine to 13 CO 2 in response to graded intakes of protein. Subjects received a maximum of 7 protein intakes (0.2 to 2.0g.kg −1 .d −1 ) for a total of 43 studies (preliminary data). The diets provided energy at 1.7 times measured resting energy expenditure and were isocaloric. Protein was given as an amino acid mixture patterned after egg protein. All subjects consumed controlled diets containing 1 g protein.kg −1 .d −1 for 2 days prior to the study day. The mean protein requirement was determined by applying a 2‐phase linear regression crossover analysis on F 13 CO 2 (label tracer oxidation in 13 CO 2 ), which identified a breakpoint in the F 13 CO 2 in response to graded intakes of protein. Mean protein requirement was determined to be 1.1 g.kg −1 .d −1 . These preliminary results suggest the mean protein requirement of elderly women is higher than current recommendation derived from nitrogen balance studies. This study was supported by a CIHR grant.
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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 | 0.000 | 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) | 0.001 | 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".