Glycemic variability is a more sensitive assessment of glycemic health as opposed to traditional clinical measurements. It considers all blood glucose concentrations over a given period to better account for glucose oscillations that occur and provides clinicians with insight into how individuals regulate and/or maintain their glycemic health. The advancement of continuous glucose monitoring (CGM) allows for the measurement of free-living glucose concentrations while providing a more reliable assessment of treatment of dysregulated glycemic. CGM coupled with management of lifestyle behavioral factors, such as reduced sedentary behavior and increased physical activity and regular exercise, potentially offers a previously untapped method for promoting improved glycemic health through greater regulation of glucose concentrations. The aim of this review is to critically evaluate the evidence regarding the measurement of glycemic variability and summarize the current understanding of the relationship between glycemic variability, sedentary behavior, physical activity, the influence of a single exercise session or repeated exercise sessions, and exercise training. This review considers information pertaining to the strengths and limitations for measuring glycemic variability and provides insight into future study designs aimed at evaluating the relationship between sedentary behavior and physical activity with, as well as the influence of exercise on, glycemic variability as a primary outcome.
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http://dx.doi.org/10.1016/j.smhs.2021.09.004 | DOI Listing |
J Clin Med
December 2024
Wessex Cardiothoracic Centre, Division of Cardiac Surgery, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Perioperative dysglycaemia in cardiac surgery is associated with poor outcomes. Glycaemic variability rather than glucose levels is a predictor of the length of an ICU stay, a rise in creatinine and acute kidney injury after cardiac surgery. Glycated haemoglobin (HbA) values correspond closely to average blood glucose levels and cut-off values can be used to define a diabetic and pre-diabetic status.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Hochgebirgsklinik, Medicine Campus Davos, Herman-Burchard-Strasse 1, 7270 Davos, Switzerland.
Continuous glucose monitoring (CGM) might provide immediate feedback regarding lifestyle choices such as diet and physical activity (PA). The impact of dietary habits and physical activity can be demonstrated in real time by providing continuous data on glucose levels and enhancing patient engagement and adherence to lifestyle modifications. Originally developed for diabetic patients, its use has recently been extended to a non-diabetic population to improve cardiovascular health.
View Article and Find Full Text PDFActa Diabetol
January 2025
1st Paediatric Department, School of Medicine, Faculty of Health Sciences, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Aims: To assess the efficacy and safety of automated insulin delivery (AID) systems compared to standard care in managing glycaemic control during pregnancy in women with Type 1 Diabetes Mellitus (T1DM).
Methods: We searched MEDLINE, Cochrane Library, registries and conference abstracts up to June 2024 for randomized controlled trials (RCTs) and observational studies comparing AID to standard care in pregnant women with T1DM. We conducted random effects meta-analyses for % of 24-h time in range of 63-140 mg/dL (TIR), time in hyperglycaemia (> 140 mg/dl and > 180 mg/dL), hypoglycaemia (< 63 mg/dl and < 54 mg/dL), total insulin dose (units/kg/day), glycemic variability (%), changes in HbA1c (%), maternal and fetal outcomes.
Endocr Metab Immune Disord Drug Targets
January 2025
Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Lovely Professional University, Panjab, 144001, India.
Diabetes Mellitus (DM) is a complex metabolic disorder characterized by chronic hyperglycemia and poses significant global health challenges. Conventional treatments, such as insulin therapy and lifestyle modifications, have shown limited efficacy in addressing the multifactorial nature of DM. Emerging evidence suggests that gut microbiota, a diverse community of microorganisms critical for metabolism and immune function, plays a pivotal role in metabolic health.
View Article and Find Full Text PDFJ Clin Sleep Med
January 2025
Department of Pediatrics, Division of Pediatric Endocrinology, Koç University School of Medicine, İstanbul, Türkiye.
Study Objectives: Our objectives were to compare sleep health composite dimensions and chronotype in children and adolescents with and without type 1 diabetes (T1D) and to explore the relationship between sleep and glycemic variability in T1D.
Methods: The study comprised 84 participants with T1D aged between 6 to 18 years, and age and sex matched by controls. The sleep health composite (SHC) was measured using actigraphy, sleep diaries, and self or parental reports.
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