Consuming a small-moderate dose of red wine alone can alter the glucose–insulin relationship
Bibliographic record
Abstract
The aim in the present study was to assess the effect of small-moderate red wine ingestion on the level of serum insulin and plasma glucose when nutritional status is varied. Twenty nondiabetic males (19-22 years) participated in the study. In the fasting trial, all participants underwent a 6 h fast prior to consuming 4 standard units of red wine (40 g alcohol) or the equivalent amount of placebo as dealcoholized wine (containing <0.5% alcohol, 0% resveratrol) over a 135 min period. Alternatively, in the feeding trial, participants consumed food for 45 min prior to ingesting 4 standard units of red wine (40 g alcohol) or placebo over 135 min. Serum insulin and plasma glucose were assessed at regular 45 min intervals during all trials. The results showed a significant decrease in the level of serum insulin and no significant change in plasma glucose concentration in the fasting trial. Alternatively, a significant alcohol-induced decrease in plasma glucose and no change in serum insulin occurred when red wine alone was consumed after food. It was concluded that red wine can alter the glucose-insulin relationship and ingesting red wine alone (without food) should not be encouraged in nondiabetic individuals.
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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) | 0.000 | 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".