The Effects of Escalating Quantities of Salvia hispanica L. (Salba) on Postprandial Glycemia and Appetite in Healthy Individuals
Bibliographic record
Abstract
Objective: To assess the effects of escalating quantities of the whole grain Salvia hispanica L. (Salba) on postprandial glycemia and appetite. Methods: Using an acute randomized controlled design, 12 healthy individuals (7M;5F;BMI 22.3±2.8 kg/m 2 ) received either 0, 7, 15 or 24 g of Salba baked into white bread. The control (0g) was repeated twice. All meals contained 50 g of available carbohydrates. Thus, subjects consumed 5 different meals with at least 3 days in between visits. Fingerprick blood samples and ratings of satiety scores on a 100 mm visual analog scale were taken at 0, 15, 30, 45, 60, 90 and 120 minutes post‐consumption. Results: There was a dose‐response reduction of postprandial glycemia with the highest and intermediate quantities of Salba resulting in an IAUC blood glucose reduction of 43% (p=0.0013) and 33% (p=0.0115), respectively. Only the intermediate dose resulted in a significant reduction in combined satiety score, with an average reduction of 47% compared to the two other experimental meals and controls at every time point after 15 minutes. Conclusions: Addition of the whole grain Salba to white bread lowers postprandial glycemia and appetite, and may be potentially cardioprotective. Thus, further research is warranted to assess the effects of Salba on long‐term reduction of cardiovascular risk factors, carbohydrate metabolism and control of body weight. Sponsor: Salba Inc, Toronto
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".