Chia Seed (Salvia hispanica L.), Incorporated Into Cookies, Reduces Postprandial Glycemic Variability but Has Little or No Ef-Fect on Subjective Appetite
Bibliographic record
Abstract
Chia seed, high in dietary-fiber and protein, may have potential to increase satiety. However, previous studies are confounded by differences in energy intake, and none investigated doses <7g. We compared the subjective appetite and glycaemic responses elicited by 30g cookies containing 0, 3, 5 or 7g chia seed (CS0, CS3, CS5 or CS7, respectively, 140-150kcal, 7-8g fat, 4g protein, 0-2g dietary-fiber, 16g available-carbohydrate) using a randomized, double-blind, cross-over design. Overnight-fasted heathy adults (24 males, 22 females; mean±SD age 37±13y; BMI 27.4±3.9kg/m²) consumed test-cookies and had appetite and plasma-glucose measured before and intermittently for 3h after eating. Data were analyzed by ANOVA with Tukey’s test to adjust for multiple comparisons; the criterion for significance was 2-tailed p<0.025 for the primary endpoints of total area under the curve (tAUC0-3h) for hunger and fullness. Hunger tAUC0-3h was similar among treatments (p=0.49) but fullness differed (p=0.019) with tAUC0-3h after CS3>CS7 (mean±SEM) (140±9 vs 122±10mm×h, p<0.025). Mean incremental glucose AUC0-2h after CS3, CS5 and CS7, respectively, were 22%, 23% and 30% less than CS0 (p<0.05). Thus, although chia reduced glycemic responses, we were unable to demonstrate a significant effect of ≤7g chia seed on the primary endpoints of hunger or fullness tAUC0-3h versus control.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.005 |
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; both teacher heads agree on what is shown here.
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".