Comparison of Plasma Glucose and Gut Hormone Levels Between Drinking Enteral Formula Over a Period of 5 and 20 Minutes in Japanese Patients With Type 2 Diabetes: A Pilot Study
Bibliographic record
Abstract
BACKGROUND: A fast eating speed is reportedly associated with obesity, fatty liver, and metabolic syndrome. As a comparison of postprandial glucose levels after eating quickly or slowly has not been previously reported for Japanese patients with type 2 diabetes, we evaluated the impact of the fast or slow ingestion of an enteral formula (liquid meal) on glucose metabolism. METHODS: Ten Japanese patients with type 2 diabetes who had been hospitalized at our hospital were enrolled. All the subjects received an enteral formula for breakfast. The study was performed over a 2-day period in each subject (day 1: enteral formula was consumed over a 5-minute period; day 2: enteral formula was consumed over a 20-minute period). The subjects were requested to fast for at least 12 hours before eating breakfast, and blood samples were collected at 0, 30, 60, and 120 min after the start of breakfast. RESULTS: The areas under the curve (AUCs) of the plasma glucose, serum insulin, plasma active ghrelin, glucagon-like peptide-1 (GLP-1), plasma total glucose-dependent insulinotropic polypeptide (GIP), and serum total peptide YY (PYY) levels were not significantly changed by intake over a 5-minute or 20-minute period. CONCLUSIONS: Eating quickly per se probably does not affect postprandial glucose excursions, but the increased energy intake resulting from eating quickly may increase the body weight and increase insulin resistance. Eating quickly may increase energy intake and worsen long-term metabolic parameters.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".