Type 1 diabetes

Identification of Activity, Insulin, and Dietary Thresholds Associated With Exercise‐Related Hypoglycaemia and Hyperglycaemia in Children With Type 1 Diabetes: A Free‐Living Study Using Explainable Machine Learning

Diabetes Obes MetabPublished Prospective observational study using explainable machine learning

Authors' conclusion

Phase-specific thresholds across exercise and insulin domains associated with exercise-related dysglycaemia were identified.

Study context

Population
Children with T1D (11.9 ± 3.3 years) on injections or open-loop pumps, with CGM, accelerometry, self-reported physical activity (PA), diet and insulin data over seven free-living days
Participants
36 children
Outcome
Thresholds of PA characteristics, insulin and carbohydrates associated with hypoglycaemia (< 70 mg/dL) and hyperglycaemia (> 180 mg/dL) during PA, early recovery (2-h post-exercise) and overnight
Methodological detailsfree-living, 7 days
  • Free-living
  • 7 days

Main finding

As reported in the abstract

Thresholds associated with exercise-related dysglycaemia (Shapley analysis)

Model performance across outcomes and phases: AUC

0.65-0.99

Model performance across outcomes and phases: F1-score

0.62-0.95

Observational data: associations, not effects.

Original publication

Identification of Activity, Insulin, and Dietary Thresholds Associated With Exercise‐Related Hypoglycaemia and Hyperglycaemia in Children With Type 1 Diabetes: A Free‐Living Study Using Explainable Machine Learning. Diabetes Obes Metab. Published 2 August 2026. doi:10.1111/dom.71165

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