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
Primary result · Nights with low-glucose events <70 mg/dL lasting ≥10 minResult — go to the resultOdds ratio 0.83Authors' 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
| Outcome | OR | P value |
|---|---|---|
| Nights with low-glucose events <54 mg/dL lasting ≥10 minPost hoc analysis | 0.64 | P = 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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