540-P: Meta-analysis of Blood Glucose Response to High Intensity Exercise in Adults with Type 1 Diabetes
Bibliographic record
Abstract
Background: High intensity exercise-induced hyperglycemia is recognized in T1D clinical guidelines, but its occurrence after high intensity intermittent exercise (HIIE) in acute studies is inconsistent. This meta-analysis aimed to examine the available evidence of BG responses to HIIE in adults with T1D. The secondary aim was to assess the role of prandial status (fasted/fed) , sex (by percentage of female participants ≤ 50, or > 50) , mean age, fitness (VO2peak) , interval duration, and total exercise duration on BG outcomes. We hypothesized that there would be no consistent effect on BG from HIIE, unless examined in the context of participant prandial status. Methods: We conducted a literature search using keywords related to T1D and HIIE. Studies were required to have a minimum of 6 participants with T1D aged ≥17 years, involving a HIIE intervention, and a pre- and post-exercise measure of BG to be included. Analyses were performed using a general inverse variance statistical method with a random effects model on RevMan5® statistical software and a weighted multiple regression on STATA17® statistical software. Results: Seventeen interventions from 13 studies were included in the final analysis. A mean overall BG change of -1.4 mmol/L (-3.0, 0.2) was found during exercise albeit with high heterogeneity (I2= 92%) . Fasted exercise increased BG by +1.7 mmol/L (-0.2, 3.6) , while fed exercise decreased BG by -2.6 mmol/L (3.7, -1.5) , with a statistically significant difference between groups (p<0.001) . There were no significant effects from sex (p=0.74) , fitness (p=0.46) , age (p=0.89) , interval duration (p=0.25) or exercise duration (p=0.38) . Conclusions: The effect of HIIE on BG is inconsistent, but partially explained by prandial status. Disclosure R.Mcclure: None. E.Weseen: None. F.Alcántara cordero: None. M.Maldaner: None. S.Hart: None. N.G.Boulé: None. J.E.Yardley: Research Support; Abbott, Dexcom, Inc., LifeScan, Speaker's Bureau; Abbott Diabetes.
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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 | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.055 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".