Performing Resistance Exercise Prior to Aerobic Exercise Results in Higher Growth Hormone Levels during Exercise in Physically Active Individuals with Well‐Controlled Type 1 Diabetes
Bibliographic record
Abstract
Background Performing resistance exercise before aerobic exercise (rather than the reverse) can protect against exercise‐induced hypoglycemia in physically active well‐controlled individuals with type 1 diabetes (T1D). Growth hormone (GH) is a potential mediator of this phenomenon as it promotes lipolysis, thereby sparing blood glucose. Purpose This research aimed to determine whether GH secretion is affected by the order in which resistance ( R ) and aerobic ( A ) exercise are performed in people with T1D. Methods On separate days, 6 physically active participants with T1D (HbA 1c 7.0±1.0%) either ran on a treadmill for 45‐min prior to performing 45‐min of weight lifting ( AR ) or performed the resistance exercise before running ( RA ). Results GH (mean±SE) rose only transiently in AR, but the rise was larger and more sustained in RA. Differences between sessions were statistically significant for the last 30‐min of exercise (mean at 60 minutes: AR = 2.86±1.03 vs RA = 5.86±1.91 μg/L; at 75 minutes: AR = 1.98±0.78 vs RA = 7.17±2.54 μg/L; at 90 minutes: AR = 1.98±0.82 vs RA = 6.67±2.51 μg/L. Conclusion GH patterns are consistent with this hormone being a mediator in the stabilization of blood glucose levels when aerobic exercise is performed subsequent to resistance exercise in habitually active individuals with T1D. Supported by the Canadian Diabetes Association and the Ottawa Hospital Research Institute.
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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".