Arterial stiffness after glucose ingestion in exercise-trained versus untrained men
Bibliographic record
Abstract
Postprandial hyperglycemia increases arterial stiffness. Arterial stiffness and insulin resistance are lower in exercise-trained humans than in untrained humans. However, the effect of exercise on arterial stiffness after glucose ingestion in young adults remains unknown. The present study investigates the effect of regular aerobic exercise on arterial stiffness after glucose ingestion in young males. Ten exercise-trained males (age, 20.8 ± 0.2 years; ETR) and 9 healthy untrained males (age, 22.2 ± 0.7 years; UTR) participated in this study. Carotid-femoral (aortic) pulse wave velocity (PWV), femoral-ankle (leg) PWV, carotid augmentation index (AIx) (applanation tonometry), brachial and ankle blood pressure (BP), heart rate (oscillometric device and electrocardiography), and blood glucose (glucose oxidase method) were measured at 30 min before (baseline) and 30, 60, and 120 min after a 75-g oral glucose tolerance test. Leg PWV at 30 min after glucose ingestion was significantly higher (P < 0.01) in the UTR group than in the ETR group. Ankle systolic BP at 30 min after glucose ingestion was also significantly higher in the UTR group than in the ETR group (P < 0.05). Blood glucose increased from baseline at 30 min (P < 0.01) and 60 min (P < 0.05) after glucose ingestion in both groups. Aortic PWV, carotid AIx, and brachial systolic BP did not change from baseline after glucose ingestion in both groups. The present findings indicate that leg PWV and ankle systolic BP after glucose ingestion were significantly lower in the ETR group than in the UTR group.
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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".