Metabolic response to oral glucose tolerance test performed in neutral and warm environmental temperature
Bibliographic record
Abstract
Objective: Hot environments are associated with impaired glucose metabolism at rest in healthy humans. The purpose of this study was to explore the contribution of key glucoregulatory hormones and biomarkers to this altered glucose tolerance.Methods: The effects of ambient temperature on glucose tolerance and its determinants were assessed with a 3-hr oral glucose tolerance test (OGTT) administered to 19 healthy young men and women at 22 °C and 31 °C.Results: The glucose response amplitude was greater in warm environment (AUC 904 ± 151 vs. 721 ± 89 mmol/l·180 min at 31 °C and 22 °C, respectively, p < .001). There was no significant effect of environmental temperature on insulin, growth hormone or pancreatic polypeptide concentrations (all p > .17). The cortisol response to the glucose load was reduced 30, 60, 90 and 120 minutes postload at 31 °C compared with 22 °C (p = .001). The interleukin-6 concentration was also lower in the session at 31 °C (p = .043).Conclusion: We conclude that the effects of environmental temperature on the glucoregulatory hormones and biomarkers reported in this study do not explain the exaggerated increase in blood glucose after a glucose load taken in a warm environmental temperature.Precis statement: This work demonstrates in healthy men and women that the ingestion of glucose elicits an exaggerated increase in blood glucose when the environmental temperature is warm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".