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Introduction: Reducing cardiovascular risk factors (CVRFs) exposure in children and youths with type 1 diabetes (T1D) is critical for cardiovascular disease (CVD) prevention. Long-term exposure to hyperglycemia, measured by HbA1c, had been recognized as the main factor affecting the CVRFs profile. To date, the possible association between short-term glycemic control and variability measured by continuous glucose monitoring (CGM) metrics and CVRFs has not been explored. The aim of this study was to test the hypothesis that CGM metrics independently contribute to CVRF exposure in children and youths with T1D.
Method: BMI, blood pressure (BP), lipid profile, and CGM data of 895 children and youths with T1D were analyzed. Binary multivariable logistic regression analyses were performed to test independent associations between CVRFs (BMI >85th percentile, LDL-c>100 mg/dL, BP >90th percentile) and CGM metrics according to sex and adjusting for confounding factors.
Results: In both sexes, metrics of hypoglycemia and glycemic variabilities (coefficient of variation [%CV]) positively correlated with BMI percentile. LDL-c positively correlated with mean glucose and metrics of hyperglycemia. A negative correlation was found between LDL-c and time in range (TIR). No significant correlations were found between CGM metrics and BP percentiles. In both sexes, TIR <70% was significantly associated with LDL-c>100 mg/dL (OR 3.2 in males, 2.1 in females). In females, CV >36% was significantly associated with overweight (OR 2.1).
Conclusions: CGM metrics of glycemic control and variability were significantly associated with the risk of overweight in females and high LDL-c in both sexes.
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http://dx.doi.org/10.1159/000535554 | DOI Listing |
Diabetes Obes Metab
September 2025
Diabetes Care Unit, Nancy University Hospital, Nancy, France.
Aims: To assess the frequency and management of hypoglycaemia during unstructured physical activity (PA) in adults with type 1 diabetes (T1D) using automated insulin delivery (AID) systems in real-life settings.
Materials And Methods: RAPPID is a prospective, multicenter, observational study conducted over 1 month in four French tertiary care centres. Adults with T1D using one of three AID systems (MiniMed 780G, Tandem t:slim X2 with Control-IQ, or Ypsopump with CamAPS FX) and performing ≥2 unstructured PA sessions per week were included.
Diabet Med
September 2025
Edinburgh Centre for Endocrinology & Diabetes, NHS Lothian, Edinburgh, UK.
Aims: This study aimed to assess the impact of the Omnipod 5 automated insulin delivery (AID) system on continuous glucose monitoring (CGM) metrics, HbA1c, and weight in a real-world setting. Additionally, independent predictors of glycaemic response were assessed.
Methods: Observational analysis of adults with type 1 diabetes using Omnipod 5 (n = 353).
Diabetes Care
September 2025
Manchester Diabetes, Endocrine and Metabolism Centre, Manchester Royal Infirmary, Manchester University Hospitals National Health Service Foundation Trust, Manchester, U.K.
Diabetes Res Clin Pract
September 2025
Health Education Administration, and Department of Endocrinology and Diabetes, Diabetes Treatment Center, Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
Background: Despite advances, glycemic control in people with type 2 diabetes (PwT2D) treated with oral antidiabetic medications (ADMs) often remains suboptimal. Continuous glucose monitoring (CGM) has shown promise in diabetes management, offering real-time insights into glucose trends. This study evaluates the impact of transitioning from conventional self-monitoring of blood glucose (SMBG) to CGM on glycemic outcomes and self-management in PwT2D receiving oral ADMs.
View Article and Find Full Text PDFDiabetes Technol Ther
September 2025