Temporal Glycemic Patterns in Type 1 and Type 2 Diabetes: Insights From Extended Continuous Glucose Monitoring
Authors' conclusion
Our findings underscore the importance of recognizing day-of-week and seasonal glycemic variations in diabetes management. Tailoring interventions to account for these real-world fluctuations may enhance patient engagement, optimize glycemic control, and ultimately improve health outcomes.
Study context
- Population
- Veterans Health Administration patients with T1D or T2D using Dexcom continuous glucose monitoring (CGM) (2015–2020); first three years of CGM use>2.1 million glucose readings
- Participants
- 892 vs 1,716
- Exposure
- Type 1 vs Type 2
- Type 1n = 892
- Type 2n = 1,716
- Outcome
- Temporal trends in mean daily glucose and TIR
- Follow-up
- First three years of CGM use
Methodological detailsreal-world CGM data linked with electronic health records
- Real-world CGM data linked with electronic health records
Main finding
As reported in the abstract
first three years of CGM use
- Both Type 1 and Type 2 cohorts showed a gradual rise in mean daily glucose over time
- Higher CGM usage frequency associated with lower overall glucose or attenuated increases
- Sundays consistently showed the highest glucose values; Wednesdays tended to have the lowest
- Glycemic control deteriorated Oct–Feb and rebounded Apr–Aug, with more pronounced fluctuations in the Northeast vs Southwest U.S.
Observational data: associations, not effects.
Original publication
Temporal Glycemic Patterns in Type 1 and Type 2 Diabetes: Insights From Extended Continuous Glucose Monitoring. J Diabetes Sci Technol. Published 24 May 2025. doi:10.
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