Introduction and Objective: Research on using electronic platforms to adjust diets for type 2 diabetes (T2D) patients with CGM data is scarce. This study aimed to evaluate the effectiveness of personalized dietary advice based on CGM data delivered through a digital platform for newly diagnosed T2D patients, focusing on glycemic control and management adherence.Methods: A 3-month randomized, controlled, open-label, parallel-group study was conducted, enrolling newly diagnosed T2D patients who were allocated into two groups. Group A received standard dietary education for diabetes management, while Group B utilized a mini-program with researcher support and wore a CGM device for one week. Group B received personalized dietary feedback based on CGM data during this period. Both groups were monitored until their 3-month follow-up outpatient clinic visit. The study assessed differences in weight, glycated hemoglobin levels, fasting blood glucose, Diabetes Self-Care Activities (DSCSA), and patient satisfaction between the groups before and after the intervention to evaluate its effectiveness.Results: Out of the initial cohort, 108 patients completed the study’s comprehensive follow-up, with a 10% attrition rate. Following the intervention, both groups exhibited reductions in glycated hemoglobin levels. However, the intervention group demonstrated significantly superior outcomes compared to the control group in terms of glycated hemoglobin (P=0.02), Diabetes Self-Care Activities (DSCSA) scale (P<0.001), and patient satisfaction (P=0.03). Subgroup analyses indicated that younger patients, with higher body weight, greater educational attainment, and elevated initial blood glucose levels experienced more pronounced effects from the intervention.Conclusion: Personalized dietary guidance via a digital platform improves glycated hemoglobin, blood glucose levels, self-management, and treatment satisfaction in newly diagnosed T2D patients.
H. Wan: None. N. Yao: None. Z. Gui: None. D. Wang: None. J. Shen: None.
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