Comparable Dose‐Response Glucose Lowering Effect with Whole vs finely Ground, Novel Omega‐3 rich Grain Salba (Salvia Hispanica L) Baked into White Bread
Bibliographic record
Abstract
Objective Oily grains such as flax, sesame and poppy are common additions to bakery products. To evaluate the effect of particle size on postprandial glycemia, whole or finely ground omega‐3 rich grain Salba was baked into white bread in a dose response study. Methods Using an acute randomized, double‐blind, crossover design, 13 healthy subjects (5M; 8F; BMI 26.3 ± 7.3kg/m2) received, on 8 different occasions, either 7, 15 or 24 g of whole or finely ground Salba baked into white bread cotaining 50g available carbohydrate or bread control given twice. Capillary blood was taken fasting and at 15, 30, 45, 60, 90 and 120 minutes after consumption. Results Compared to control, all treatments containing 7,15,or 24g of whole and ground Salba reduced blood glucose iAUC (p=0.03) by 20%, 28% and 35% respectively compared to control (p<0.05), in dose dependent fashion (slope = ‐1.2 ± 0.05). No differences in glucose responses were found between whole vs ground Salba at the same dose levels. Conclusions Addition of either whole or finely ground Salba to white bread lowers postprandial glycemia equally in a dose‐dependent manner making this novel omega‐3 grain versatile for consumption. Baking whole Salba in bread may also extend shelf life by minimizing fat oxidation.
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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 | 0.001 |
| 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".