584-P: Similar Variability in Pre- and Post-exercise Glucose Levels between Morning-Fasted and Afternoon-Fed Resistance Exercise in Adults with Type 1 Diabetes
Bibliographic record
Abstract
Background: Exercise increases longevity and decreases the incidence/progression of diabetes-related complications for those with type 1 diabetes (T1D), but it complicates blood glucose management. Understanding variability in blood glucose response to exercise may help guide choices of exercise strategies for people with T1D. Our primary objective was to compare the variability in capillary glucose (CG) response to morning, fasted resistance exercise (AMre), to afternoon post-prandial exercise (PMre). We hypothesized that CG responses would be less variable during morning fasted RE. Methods: Seven participants [4F/3M; mean (SD): age = 29.1 (11.3) yrs; diabetes duration = 19.4 (6.7) yrs; HbA1c = 7.5 (0.7)%] completed a standardized resistance exercise protocol (3 sets of 8 repetitions of seven exercises involving all major muscle groups with 90 seconds between sets) three times in the morning (~7am) while in a fasted state and three times in the afternoon (~5pm) in a fed state. Sessions were performed in a random order with at least 48 hrs between sessions. Participants aimed for close consistency in the timing of the sessions, any associated meals (PMre only) and related insulin adjustments. To determine the intra-individual variability in CG response during AMre and PMre, as well as subsequent 30-minute recovery periods, we performed paired t-tests of the within-participant SD of the change in CG. Results: From the beginning to the end of RE, mean within-participant SD of CG change was 1.2 (0.5) and 1.9 (1.2) mmol/L during AMre and PMre respectively (p=0.08), and 1.2 (0.4) and 1.2 (1.2) mmol/L during subsequent 30-minute recovery periods (p=0.98). Conclusion: For adults with T1D the variability in CG response may be similar between AMre and PMre. More data are needed to clarify these effects. Disclosure R.Mcclure: None. C.J.Nitz: None. J.E.Yardley: Speaker's Bureau; Dexcom, Inc., Abbott. Funding LifeScan
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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 | 0.001 | 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) | 0.003 | 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".