Diabetes technology

Glycaemic Control During School Days and Holidays in Children and Adolescents With Type 1 Diabetes Using Open‐Source Android Artificial Pancreas Systems: A Real‐World Study

Diabetes Obes MetabPublished Retrospective cohort study

Authors' conclusion

CGM-derived glycaemic outcomes were comparable between school days and holidays in participants with T1D using AAPS. Longer nighttime sleep during school days was associated with higher TITR and TIR achievement.

Study context

Population
School-aged children and adolescents with T1D aged 6–19 years using open-source Android artificial pancreas systems (AAPS) for >3 months; 20 (36.36%) male
Participants
55 children
Exposure
School days vs holidays
Outcome
Continuous glucose monitoring (CGM)-derived glycaemic metrics (TIR, TITR, time above range (TAR), time below range (TBR), glucose management indicator (GMI), mean glucose, SD, coefficient of variation (CV), low blood glucose index (LBGI), high blood glucose index (HBGI))
Methodological detailsreal-world
  • Real-world

Main finding

As reported in the abstract

  • No significant differences between school days and holidays across whole day, daytime and nighttime periods
  • School days vs Holidays: P > 0.05

Observational data: associations, not effects.

Further findings

Longer nighttime sleep duration and time in tight range (TITR) achievement during school days

aOR (95% CI)P value
Longer nighttime sleep durationMultivariable logistic regression2.29 (1.29–4.47)P = 0.008

Longer nighttime sleep duration and time in range (TIR) achievement during school days

aOR (95% CI)P value
Longer nighttime sleep durationMultivariable logistic regression2.07 (1.17–3.96)P = 0.018

Total duration of AAPS use

Median total duration of AAPS use
209.39 [170.66, 289.97] days

Original publication

Glycaemic Control During School Days and Holidays in Children and Adolescents With Type 1 Diabetes Using Open‐Source Android Artificial Pancreas Systems: A Real‐World Study. Diabetes Obes Metab. Published 25 June 2026. doi:10.1111/dom.70970

Composed by AI from the published abstract and checked against it. How Briefs are made →

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