Research Unmuted – Episode 8: Monday Blues, Blood Sugar Edition
Rattachement africain : dk. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This episode is part of Research Unmuted (https://research-unmuted.uk), a scientific audio journal aimed at translating contemporary medical and digital health research into an accessible, yet academically, audio format. Abstract To identify and characterize daily and weekly patterns in glycemic management in longitudinal real‐world continuous glucose monitoring (CGM) data from people with diabetes to enhance clinical interpretation and support more effective personalized diabetes management.This observational, retrospective study used two independent, multiyear, real-world CGM cohorts (T1DiabetesGranada and Connected Pen), comprising 86,779 participants with diabetes. Their mean age (SD) was 40.3 (15.8) and 44.0 (15.9), respectively, and there was a total of 21,011,021 measurement days. Weekly variations in CGM metrics and bolus insulin dose were examined using linear mixed-effects models, and daily temporal patterns were assessed. Weekly and daily glycemic patterns emerged. Mid‐week time in range was consistently higher (e.g., Wednesday: +0.96 percentage points [%-points]; 95% CI 0.93–0.99; P < 0.001), with deterioration during weekends and Mondays (e.g., Sunday: –1.74%-points; 95% CI –1.77, –1.72; P < 0.001), mirrored by shifts in other CGM metrics. Bolus insulin dose increased on weekend days (e.g., Sunday: +0.69 units; 95% CI 0.64–0.74; P < 0.001). Daily analyses revealed distinct diurnal profiles, with the most favorable glycemic control during morning and midday hours on weekdays and consistently poorer control during evening and nighttime periods, particularly on weekends. Daily and weekly glycemic patterns revealed statistically robust and consistent temporal variations in glycemic control across two large real-world cohorts. Although the magnitude of these differences was small, the findings provide novel population-level evidence and underscore the value of longer-term CGM perspectives in routine care. Citation Cichosz, S. (2026, august 25). Research Unmuted – Episode 8: Monday Blues, Blood Sugar Edition. References Iben E. Giese, Stine Hangaard, Niels V. Hartvig, Irl B. Hirsch, Morten H. Jensen, Simon L. Cichosz; Glucose in Motion: Characterizing Temporal Patterns in Real-World Glycemic Control in a Large Observational Cohort. Diabetes Care 2026 Sponsor Publimetra is a free, open-access researcher discovery platform that enables anyone to explore the publications, citation metrics, and bibliometric profiles of researchers worldwide—without registration or subscription fees. https://publimetra.uk Tags #Diabetes #Data_Science #Digital_Health ##Wearables #Cardiometabolic Episode Link https://research-unmuted.uk/?episode=7c8c4a5c-f754-4981-86c8-28a91373ed2e
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