Glycemic Variability Is Associated with Markers of Vascular Stress in Adolescents.

[1]  H. Nathoe,et al.  The Relation Between HbA1c and Cardiovascular Events in Patients With Type 2 Diabetes With and Without Vascular Disease , 2015, Diabetes Care.

[2]  C. Aston,et al.  Oxidized HDL and LDL in adolescents with type 2 diabetes compared to normal weight and obese peers. , 2015, Journal of diabetes and its complications.

[3]  K. Nadeau,et al.  Continuous glucose monitoring and its relationship to hemoglobin A1c and oral glucose tolerance testing in obese and prediabetic youth. , 2015, The Journal of clinical endocrinology and metabolism.

[4]  J. Trepanowski,et al.  Fetuin-A: a novel link between obesity and related complications , 2014, International Journal of Obesity.

[5]  Amal Zaghloul,et al.  Soluble endothelial protein C receptor and high sensitivity C reactive protein levels as markers of endothelial dysfunction in patients with type 1 and type 2 diabetes mellitus: their role in the prediction of vascular complications. , 2014, Diabetes research and clinical practice.

[6]  Y. Saisho Glycemic Variability and Oxidative Stress: A Link between Diabetes and Cardiovascular Disease? , 2014, International journal of molecular sciences.

[7]  K. Prasad Low Levels of Serum Soluble Receptors for Advanced Glycation End Products, Biomarkers for Disease State: Myth or Reality , 2014, International Journal of Angiology.

[8]  Y. Hung,et al.  Soluble Form of Receptor for Advanced Glycation End Products Is Associated with Obesity and Metabolic Syndrome in Adolescents , 2014, International journal of endocrinology.

[9]  K. Dowling,et al.  Vascular function and glucose variability improve transiently following initiation of continuous subcutaneous insulin infusion in children with type 1 diabetes , 2013, Pediatric diabetes.

[10]  J. Levy,et al.  Expansion of the Homeostasis Model Assessment of β-Cell Function and Insulin Resistance to Enable Clinical Trial Outcome Modeling Through the Interactive Adjustment of Physiology and Treatment Effects: iHOMA2 , 2013, Diabetes Care.

[11]  C. Cobelli,et al.  Postprandial improvement in insulin sensitivity after a single exercise session in adolescents with low aerobic fitness and physical activity , 2013, Pediatric diabetes.

[12]  D. Nathan,et al.  A clinical trial to maintain glycemic control in youth with type 2 diabetes. , 2012, The New England journal of medicine.

[13]  H. Tian,et al.  Glucose fluctuations in subjects with normal glucose tolerance, impaired glucose regulation and newly diagnosed type 2 diabetes mellitus , 2012, Clinical endocrinology.

[14]  M. Tremblay,et al.  Daily step target to measure adherence to physical activity guidelines in children. , 2012, Medicine and science in sports and exercise.

[15]  D. Oberlin,et al.  Glycaemic control is improved by 7 days of aerobic exercise training in patients with type 2 diabetes , 2012, Diabetologia.

[16]  F. Booth,et al.  Lowering physical activity impairs glycemic control in healthy volunteers. , 2012, Medicine and science in sports and exercise.

[17]  Gregory J. Welk,et al.  Aerobic fitness percentiles for U.S. adolescents. , 2011, American journal of preventive medicine.

[18]  J. Steinberger,et al.  Circulating Oxidized LDL and Inflammation in Extreme Pediatric Obesity , 2011, Obesity.

[19]  Eckhard Salzsieder,et al.  The use of a computer program to calculate the mean amplitude of glycemic excursions. , 2011, Diabetes technology & therapeutics.

[20]  Peter A Baghurst,et al.  Calculating the mean amplitude of glycemic excursion from continuous glucose monitoring data: an automated algorithm. , 2011, Diabetes technology & therapeutics.

[21]  SoJung Lee,et al.  From Pre-Diabetes to Type 2 Diabetes in Obese Youth , 2010, Diabetes Care.

[22]  Howard Zisser,et al.  Improved quality of glycemic control and reduced glycemic variability with use of continuous glucose monitoring. , 2009, Diabetes technology & therapeutics.

[23]  David Rodbard,et al.  Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control. , 2009, Diabetes technology & therapeutics.

[24]  Ju-ming Lu,et al.  [Characteristics of glycemic excursion in different subtypes of impaired glucose intolerance]. , 2009, Zhonghua yi xue za zhi.

[25]  Claudio Cobelli,et al.  Effects of Type 2 Diabetes on Insulin Secretion, Insulin Action, Glucose Effectiveness, and Postprandial Glucose Metabolism , 2009, Diabetes Care.

[26]  A. McCall,et al.  The Median is Not the Only Message: A Clinician's Perspective on Mathematical Analysis of Glycemic Variability and Modeling in Diabetes Mellitus , 2009, Journal of diabetes science and technology.

[27]  David R. Owens,et al.  Glycemic Variability: The Third Component of the Dysglycemia in Diabetes. Is it Important? How to Measure it? , 2008, Journal of diabetes science and technology.

[28]  SoJung Lee,et al.  In Vivo Insulin Sensitivity and Secretion in Obese Youth , 2008, Diabetes Care.

[29]  R. Testa,et al.  Oscillating Glucose Is More Deleterious to Endothelial Function and Oxidative Stress Than Mean Glucose in Normal and Type 2 Diabetic Patients , 2008, Diabetes.

[30]  A. Ceriello,et al.  Constant and intermittent high glucose enhances endothelial cell apoptosis through mitochondrial superoxide overproduction , 2006, Diabetes/metabolism research and reviews.

[31]  Jean-Paul Cristol,et al.  Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. , 2006, JAMA.

[32]  A. Ceriello,et al.  Intermittent high glucose enhances ICAM-1, VCAM-1 and E-selectin expression in human umbilical vein endothelial cells in culture: the distinct role of protein kinase C and mitochondrial superoxide production. , 2005, Atherosclerosis.

[33]  Sonia Caprio,et al.  The metabolic consequences of childhood obesity. , 2005, Best practice & research. Clinical endocrinology & metabolism.

[34]  Kenton R Kaufman,et al.  Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure. , 2005, Preventive medicine.

[35]  D. Stern,et al.  Understanding RAGE, the receptor for advanced glycation end products , 2005, Journal of Molecular Medicine.

[36]  D. Klonoff Continuous glucose monitoring: roadmap for 21st century diabetes therapy. , 2005, Diabetes care.

[37]  G. Damante,et al.  Intermittent high glucose enhances apoptosis in human umbilical vein endothelial cells in culture. , 2001, American journal of physiology. Endocrinology and metabolism.

[38]  R. Holman,et al.  Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study , 2000, BMJ : British Medical Journal.

[39]  M. Matsuda,et al.  Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. , 1999, Diabetes care.

[40]  R. Holman,et al.  Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34) , 1998, The Lancet.

[41]  Ferrannini,et al.  Relationship between impaired glucose tolerance, non‐insulin‐dependent diabetes mellitus and obesity , 1998, European journal of clinical investigation.

[42]  S. Dinneen,et al.  The Postprandial State: Mechanisms of Glucose Intolerance , 1997, Diabetic medicine : a journal of the British Diabetic Association.

[43]  The Relationship of Glycemic Exposure (HbA1c) to the Risk of Development and Progression of Retinopathy in the Diabetes Control and Complications Trial , 1995, Diabetes.

[44]  W. F. Taylor,et al.  Mean Amplitude of Glycemic Excursions, a Measure of Diabetic Instability , 1970, Diabetes.

[45]  S. Mumford,et al.  Failure to consider the menstrual cycle phase may cause misinterpretation of clinical and research findings of cardiometabolic biomarkers in premenopausal women. , 2014, Epidemiologic reviews.

[46]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[47]  W. N. Venables,et al.  An introduction to R : a programming environment for data analysis and graphics , 2009 .

[48]  W. N. Venables,et al.  An introduction to R : notes on R: a programming environment for data analysis and graphics, version 1.9.1 , 2002 .