Temporal Glycemic Patterns in Type 1 and Type 2 Diabetes: Insights From Extended Continuous Glucose Monitoring
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.
Authors
- Kerry Zhou
- Peter D. Reaven (ORCID: https://orcid.org/0000-0001-8923-6690)
- T Okuno (ORCID: https://orcid.org/0009-0006-9884-0906)
- Gregory J. Norman (ORCID: https://orcid.org/0000-0001-7989-9597)
- Jin J. Zhou (ORCID: https://orcid.org/0000-0001-7983-0274)
- Lucas Sort
- Bowen Zhang (ORCID: https://orcid.org/0000-0002-2911-9422)
- Victor Li (ORCID: https://orcid.org/0009-0005-6051-2723)
- Donald R. Miller (ORCID: https://orcid.org/0000-0002-7881-8801)
- Martin Kitchen
Institutions
- Centre National de la Recherche Scientifique (FR)
- University of Massachusetts Lowell (US)
- University of California, Los Angeles (US)
- Université Paris-Saclay (FR)
- Bronx High School of Science (US)
- Portola Pharmaceuticals (United States) (US)
- CentraleSupélec (FR)
- Phoenix VA Health Care System (US)
- Medication Management (United States) (US)
- Dexcom (United States) (US)
Publication Details
- Journal
- Journal of Diabetes Science and Technology
- Published
- 2025-05-24
- DOI
- https://doi.org/10.1177/19322968251341264
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- National Science Foundation
- National Institutes of Health