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Background: Continuous glucose monitoring (CGM) promotes glycemic benefits in adults with type 2 diabetes (T2D), including insulin users as well as noninsulin users, often with minimal professional support. To investigate whether these benefits may stem from increased user engagement in self-management, we conducted a randomized controlled trial comparing the impact of CGM versus self-monitoring of blood glucose (SMBG) on self-reported engagement and HbA1c in CGM-naïve adults with T2D.
Methods: Potential participants completed the Impact of Glucose Monitoring on Self-Management Scale (IGMSS) and an HbA1c home test to confirm eligibility (>7.5%). N = 110 eligible participants were randomized to receive a FreeStyle Libre 3 (CGM arm) or a FreeStyle Precision Neo Blood Glucose Monitoring System (SMBG arm). The IGMSS and HbA1c home test were repeated after three months. Latent change score models estimated group differences in outcomes over time.
Results: CGM users reported significantly greater engagement with T2D self-management than SMBG users (IGMSS total b = 0.61, < .001), including greater gains on all three major subscales, capability (b = 0.76, < .001), opportunity (b = 0.46, = .001), and motivation (b = 0.66, < .001). CGM users also saw a significant HbA1c drop of ~1% (9.2% to 8.3%, < .001, d = .65), with less than half the reduction in SMBG users (8.9% to 8.4%, = .065, d = .30). However, the effect of group on HbA1c change did not reach statistical significance ( = .170), likely due to limited sample size.
Conclusions: These findings suggest that introducing CGM to adults with T2D heightens users' engagement with their own diabetes care and also improves glycemic control more than providing SMBG.
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http://dx.doi.org/10.1177/19322968251361031 | DOI Listing |
Introduction: Genetic analysis is essential for diagnosing, treating, and predicting complications in neonatal diabetes mellitus (NDM) but is unavailable in some regions. Sulfonylureas are effective for NDM caused by KCNJ11 or ABCC8 mutations, which are among the most common genetic causes, therefore they are often given before genetic testing. Unfortunately, in certain ethnicities, this mutation rarely occurs.
View Article and Find Full Text PDFDiabetologia
September 2025
Centre Universitaire de Diabétologie et de ses Complications, AP-HP, Hôpital Lariboisière, Paris, France.
Aims/hypothesis: Severe hypoglycaemia events (SHE) remain frequent in people with type 1 diabetes despite advanced diabetes technologies. We examined whether time below range (TBR) 3.9 mmol/l (70 mg/dl; TBR70) or 3.
View Article and Find Full Text PDFNMR Biomed
October 2025
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology.
View Article and Find Full Text PDFG Ital Nefrol
August 2025
Infermiere Professionale SSD Nefrologia e Dialisi P.O. Soverato, ASP CZ.
Management of diabetes mellitus in hemodialysis is highly complex due to increased glycemic variability and hypoglycemic risk. The use of technologies applied to diabetes has been shown to improve glycemic control, however data in dialysis patients are limited. To describe the efficacy and safety of the minimed 780G AHCL system in a stable hemodialysis patient and during hospitalization in the Intensive Care Unit (ICU).
View Article and Find Full Text PDFJ Biophotonics
September 2025
Institute of Photonics and Photon-Technology, Northwest University, Xi'an, China.
Non-invasive glucose monitoring using Raman spectroscopy with 830 nm excitation presents a promising alternative to traditional fingerstick methods for diabetes management research. An integrated in vivo Raman system enables transcutaneous glucose detection and has demonstrated robust performance in oral glucose tolerance tests (OGTT), validating its reliability. Inter-subject correlation between spectral features and glucose concentration was addressed by the intensity of the fingerprint peak (I), peak intensity ratio (I/I), and the spectral area ratio (S/S), whose correlation coefficient (R) was 0.
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