Duration of physical activity required to Ameliorate hyperglycemia without causing hypoglycemia in type 1 diabetes: A T1DEXI adults and pediatric cohort analyses
Bibliographic record
Abstract
AIMS: To estimate physical activity (activity) duration required to lower glucose from above target range (>180 mg/dL) to within target range (TIR: 70-180 mg/dL) in individuals with type 1 diabetes (T1D). METHODS: Continuous glucose monitoring and activity data were collected from 404 adults (28-day observation) and 149 adolescents (10-day observation) with T1D. Activities (N = 1902) with a starting glucose between 181-300 mg/dL, duration 10-60 min, and no reported meals during activity were included in the analysis. Kaplan-Meier curves were used to estimate activity duration required to drop starting glucose levels from above to within TIR. RESULTS: An overall starting glucose value of 181-199, 200-224, 225-249, and 250-300 mg/dL required an estimated activity duration of 15, 31, 59, and ≥ 60 min, respectively, to have a 50 % chance of reducing glucose to be within target range, with a 0-11 % incidence of hypoglycemia in the hour after activity. Activity duration requirements increased irrespective of starting glucose levels when glucose was trending upwards before activity and with zero bolus insulin on board at the start of activity. Adult and adolescent results were similar. CONCLUSIONS: Time-limited activity is an effective means of restoring TIR when hyperglycemia exists in adolescents and adults with T1D.
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 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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".