Diabetes technology

Evaluation of a Prediction-Based Bedtime Intervention in Reducing Nocturnal Low Glucose in Adults With Type 1 Diabetes: The DailyDose Bedtime Smart Snack Crossover Study

Diabetes CarePublished Randomised crossover trial

Primary result · Nights with low-glucose events <70 mg/dL lasting ≥10 minResult — go to the resultOdds ratio 0.83

Authors' conclusion

DDSS did not significantly reduce the proportion of nights with low-glucose events <70 mg/dL lasting ≥10 min but reduced nocturnal low glucose <54 mg/dL without compromising other glycemic metrics.

Study context

Population
Adults with T1D on CGM-augmented MDI; mean ± SD age 39 ± 15 years, 10 women, HbA1c 7.1% ± 1.0%completed the study
Participants
20 adults
Comparison
Developed the DailyDose Smart Snack (DDSS) app bedtime decision support vs CGM-augmented MDI
Primary endpoint
Proportion of nights with low-glucose events <70 mg/dL lasting ≥10 min
Follow-up
4 weeks per arm
Methodological detailsfree-living conditions
  • Free-living conditions

Primary result

As reported in the abstract

Nights with low-glucose events <70 mg/dL lasting ≥10 min

Odds ratio

0.83

P = 0.207

By group

Further findings

OutcomeORP value
Nights with low-glucose events <54 mg/dL lasting ≥10 minPost hoc analysis0.64P = 0.040
Nights with low-glucose events <54 mg/dL lasting ≥10 min — Significantly reduced in the DDSS arm by
3.5%

Overnight CGM metrics

No difference between arms in overnight CGM metrics

Original publication

Evaluation of a Prediction-Based Bedtime Intervention in Reducing Nocturnal Low Glucose in Adults With Type 1 Diabetes: The DailyDose Bedtime Smart Snack Crossover Study. Diabetes Care. Published 24 July 2025. doi:10.2337/dc25-0407

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