Hormonal responses associated with the nadir in blood glucose during graded cycling exercise
Bibliographic record
Abstract
The response of glucoregulatory hormones associated with the nadir in serum glucose (i.e., glucose threshold) was examined during graded exercise to exhaustion in 22 physically active male participants. A comparison was also made between the glucose, lactate, and ventilatory thresholds. The mean (±SD) age, height, and body mass of the participants was 24.5 (±4.0) years, 182.0 (±9.1) cm, and 84.8 (±17.4) kg, respectively. Blood samples were collected at rest and during the final minute of each power output of a graded exercise test. The nadir in blood glucose concentration occurred at the same time as the lowest concentration of plasma glucagon, and both were significantly elevated at maximal exercise. Insulin response showed a significant decrease from rest but was maintained prior to the glucose nadir followed by a significant decrease. Cortisol was significantly elevated at maximal exercise intensity only. There was no difference in the power output and oxygen consumption (VO2) at the glucose and lactate thresholds but both occurred at one power output prior to the ventilatory threshold. In conclusion, a nadir in serum glucose occurred in a predictable fashion in relation to other measures of anaerobic threshold. The nadir in blood glucose occurred prior to an increase in plasma glucagon concentration and a decrease in circulating insulin concentration during the re-establishment of euglycemia during graded exercise.
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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".