The Effect Of Bodyweight Exercise On Glycemic Variability Using Continuous Glucose Monitoring In Inactive Adults.
Bibliographic record
Abstract
Brief vigorous exercise can enhance indices of glycemic control. Limited work has investigated the effect of simple, practical activities that do not require specialized equipment. PURPOSE: To determine the acute effect of brief bodyweight exercise (BWE) on glycemic variability over 24 h using continuous glucose monitoring (CGM) under controlled dietary conditions in healthy inactive adults. METHODS: A sample size of 27 was estimated to detect a medium effect size (dz = 0.5) in 24 h mean glucose with 80% power at an alpha level of 0.05 for a one-tailed (matched pairs) t-test. Participants (8 males, 19 females; age: 23 ± 3 y) completed two virtually supervised trials in a randomized order after familiarization. The trials involved either an 11-min BWE protocol or an equivalent non-exercise sitting control period (CON). BWE consisted of five, 1-min bouts performed at a self-selected pace interspersed with 1-min active recovery periods. Individualized pre-packaged meals were provided to each participant to standardize food intake during the 24 hours following each trial. Measures of GV included the mean amplitude of glycemic excursions (MAGE), coefficient of variation (CV), and mean standard deviation (SD) of the 24 h glucose means. This study was registered prior to data collection (ClinicalTrials.gov NCT05144490). RESULTS: Mean heart rate (HR) over the 11-min BWE protocol was 147 ± 14 beats/min (~75% of age-predicted HR maximum). Mean 24 h glucose following BWE and CON were not different (5.0 ± 0.4 mM vs 5.0 ± 0.5 mM, respectively; p = 0.39). Similarly, indices of GV were not different after BWE vs CON [MAGE: 2.20 ± 0.67 mM vs 2.37 ± 0.63 mM (p = 0.06), CV: 19 ± 5% vs 20 ± 5% (p = 0.21), mean SD: 0.97 ± 0.26 mM vs 0.99 ± 0.24 mM (p = 0.30), respectively]. CONCLUSIONS: An 11-min BWE protocol did not alter acute glycemic control in previously inactive adults who were otherwise young and healthy. These data nonetheless highlight the feasibility of completing remotely supervised BWE combined with CGM under free-living conditions. Future studies should investigate the effects of BWE in people with impaired glycemic control as well as the impact of repeated sessions of BWE training.
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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 | 0.002 | 0.002 |
| 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".