The Effects of Pistachios on Postprandial Glucose and Insulin Levels, Gut Satiety Hormones and Measures of Oxidative Stress
Bibliographic record
Abstract
Background: Nuts are associated with a reduced risk of CHD and Type 2 Diabetes possibly relating to their favorable fat, protein and antioxidant profiles. Moreover, nuts have also been shown to reduce serum LDL‐C. Previous studies have demonstrated that pistachios decreased the postprandial glycemic response of white bread in a dose‐dependent manner and attenuated the glucose excursions of common carbohydrate foods when consumed with 2oz of pistachios. Objective: To assess the effect of pistachios on postprandial serum insulin levels, gut satiety hormone responses and measures of tissue oxidative stress. Methods: After an overnight fast, 15 healthy subjects consumed 2 iso‐caloric test meals and 1 control meal in a randomized fashion, each separated by 1 week. Test meals, with similar macronutrient profiles, consisted of white bread (97g) plus 2oz of pistachios; white bread (97g) plus butter (14g) and cheese (68g). The control meal was white bread. Capillary finger‐prick and venous blood samples were taken and subjective satiety measures via a visual analogue scale were assessed over 3 hours. The relative glycemic and insulinemic responses were assessed by calculating the incremental area under the 3h curve (IAUC). Results: Differences are assessed by least squares means with a Tukey adjustment for multiple comparisons. To be presented. Funding Support: Western Pistachio Association
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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 | 0.001 | 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".