Abstract

Maintaining good glycemic control is a central part of diabetes care. However, it can be a tedious task because many factors in daily living can affect glycemic control. To support management, a growing number of person living with diabetes are now being prescribed continuous glucose monitors (CGMs) for real-time tracking of their blood glucose levels. In addition, retrospective review of CGM data is invaluable for understanding individual patterns of glycemic control and to guide treatment strategies. Prior research shows that festive periods such as holidays can be a notable contributor to overeating and weight gain. Thus, we sought to investigate patterns of glycemic control around the holidays, particularly Thanksgiving, Christmas, and New Year, by using CGM data from 14 patients with Type 1 Diabetes. In this paper, we used clinically-accepted metrics for quantifying glycemic control from CGM data and the well-established statistical analysis test - Analysis of Variance (ANOVA) - to compare diabetes management on holiday weeks versus non-holiday weeks. We found that 86\% of subjects (12 out of 14) had worse glycemic control (i.e., more adverse glycemic events) during holiday weeks compared to non-holiday weeks. Although this general trend was prevalent, we also observed unique patterns of glycemic control amongst subjects. These preliminary findings serve as a foundation for more research on temporal patterns in diabetes management and individualized interventions that can support patients and caregivers with maintaining good glycemic control all year round.
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