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Lazić A, Stanković D, Trajković N, Cadenas-Sanchez C. Effects of HIIT Interventions on Cardiorespiratory Fitness and Glycemic Parameters in Adults with Type 1 Diabetes: A Systematic Review and Meta-Analysis. Sports Med 2024:10.1007/s40279-024-02059-4. [PMID: 38904921 DOI: 10.1007/s40279-024-02059-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND Individuals with type 1 diabetes mellitus (T1DM) face impaired cardiorespiratory fitness and glycemic control, increasing the risk of cardiovascular complications. High-intensity interval training (HIIT) has emerged as a promising exercise modality with potential benefits for both aspects in this population. OBJECTIVES The primary aim was to investigate the effects of HIIT on cardiorespiratory fitness and glycemic parameters in patients with T1DM. The secondary aim was to examine the most effective HIIT protocol for cardiorespiratory fitness and glycemic parameters in patients with T1DM. DESIGN Systematic review and meta-analysis. DATA SOURCES Two major electronic databases (Web of Science and PubMed) were searched up to February 2024. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Randomized and non-randomized trials involving adult patients with T1DM, free of complications and other diseases examining the effects of HIIT (HIIT pre vs. post; HIIT vs. control group or HIIT vs. moderate-intensity continuous training (MICT)) on cardiorespiratory fitness and glycemic parameters were included. RESULTS A total of ten studies met the inclusion criteria. The meta-analysis revealed a significant improvement in cardiorespiratory fitness following HIIT interventions (pre vs. post) in patients with T1DM (standardized mean difference (SMD) = 0.59, 95% confidence interval (CI) = 0.16 to 1, p = 0.01). Furthermore, HIIT (pre vs. post) was associated with significant improvements in 24-h mean glucose control (SMD = - 0.44, 95% CI = - 0.81 to - 0.06, p = 0.02), but the results (pre vs. post) failed to identify significant improvements in fasting glucose (SMD = - 0.26, 95% CI = - 0.78 to 0.24, p = 0.3) and glycated hemoglobin (HbA1C) values (SMD = - 0.28, 95% CI = - 0.61 to 0.05, p = 0.1). However, in comparison with a control group, HIIT showed significantly favorable effects on HbA1C (SMD = - 0.74, 95% CI = - 1.35 to - 0.14, p = 0.02). Finally, the meta-regression analysis did not find any moderating effect of any HIIT characteristics (i.e., intervention duration, session duration, work time, rest time, number of bouts, and intensity) on cardiorespiratory fitness and glycemic parameters. CONCLUSION Our systematic review and meta-analysis show that T1DM patients who performed a HIIT intervention significantly improved cardiorespiratory fitness and reduced their 24-h mean glucose levels, but not their HbA1C and fasting glucose. These findings support the application of HIIT interventions in T1DM patients. However, the guidelines for the most effective protocol remain unclear; hence, future studies are needed.
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Affiliation(s)
- Anja Lazić
- Faculty of Sport and Physical Education, University of Niš, Niš, Serbia
| | - Dušan Stanković
- Faculty of Sport and Physical Education, University of Niš, Niš, Serbia
| | - Nebojša Trajković
- Faculty of Sport and Physical Education, University of Niš, Niš, Serbia
| | - Cristina Cadenas-Sanchez
- Department of Physical Education and Sports, Faculty of Sports Science, Sport and Health University Research Institute (iMUDS), University of Granada; CIBEROBN, ISCIII, Granada, Spain.
- Stanford University, Department of Cardiology, Stanford; Veterans Affair Palo Alto Health Care System, Palo Alto, California, USA.
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2
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O'Neal DN, Zaharieva DP, Morrison D, McCarthy O, Nørgaard K. Exercising Safely with the MiniMed™ 780G Automated Insulin Delivery System. Diabetes Technol Ther 2024; 26:84-96. [PMID: 38377316 DOI: 10.1089/dia.2023.0420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
The physical and psychological benefits of exercise are particularly pertinent to people with type 1 diabetes (T1D). The variability in subcutaneous insulin absorption and the delay in offset and onset in glucose lowering action impose limitations, given the rapidly varying insulin requirements with exercise. Simultaneously, there are challenges to glucose monitoring. Consequently, those with T1D are less likely to exercise because of concerns regarding glucose instability. While glucose control with exercise can be enhanced using automated insulin delivery (AID), all commercially available AID systems remain limited by the pharmacokinetics of subcutaneous insulin delivery. Although glycemic responses may vary with exercises of differing intensities and durations, the principles providing the foundation for guidelines include minimization of insulin on board before exercise commencement, judicious and timely carbohydrate supplementation, and when possible, a reduction in insulin delivered in anticipation of planned exercise. There is an increasing body of evidence in support of superior glucose control with AID over manual insulin dosing in people in T1D who wish to exercise. The MiniMed™ 780G AID system varies basal insulin delivery with superimposed automated correction boluses. It incorporates a temporary (elevated glucose) target of 8.3 mmol/L (150 mg/dL) and when it is functioning, the autocorrection boluses are stopped. As the device has recently become commercially available, there are limited data assessing glucose control with the MiniMed™ 780G under exercise conditions. Importantly, when exercise was planned and implemented within consensus guidelines, %time in range and %time below range targets were met. A practical approach to exercising with the device is provided with illustrative case studies. While there are limitations to spontaneity imposed on any AID device due to the pharmacokinetics associated with the subcutaneous delivery of current insulin formulations, the MiniMed™ 780G system provides people with T1D an excellent option for exercising safely if the appropriate strategies are implemented.
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Affiliation(s)
- David N O'Neal
- Department of Medicine, The University of Melbourne, Parkville, Australia
- Department of Endocrinology, St. Vincent's Hospital Melbourne, Fitzroy, Australia
- Australian Centre for Accelerating Diabetes Innovations, Parkville, Australia
| | - Dessi P Zaharieva
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Dale Morrison
- Department of Medicine, The University of Melbourne, Parkville, Australia
- Department of Endocrinology, St. Vincent's Hospital Melbourne, Fitzroy, Australia
- Australian Centre for Accelerating Diabetes Innovations, Parkville, Australia
| | - Olivia McCarthy
- Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
- Technology, Exercise and Medicine Research Centre, Applied Sport, Swansea University, Swansea, United Kingdom
| | - Kirsten Nørgaard
- Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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3
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Zimmer RT, Auth A, Schierbauer J, Haupt S, Wachsmuth N, Zimmermann P, Voit T, Battelino T, Sourij H, Moser O. (Hybrid) Closed-Loop Systems: From Announced to Unannounced Exercise. Diabetes Technol Ther 2023. [PMID: 38133645 DOI: 10.1089/dia.2023.0293] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Physical activity and exercise have many beneficial effects on general and type 1 diabetes (T1D) specific health and are recommended for individuals with T1D. Despite these health benefits, many people with T1D still avoid exercise since glycemic management during physical activity poses substantial glycemic and psychological challenges - which hold particularly true for unannounced exercise when using an AID system. Automated insulin delivery (AID) systems have demonstrated their efficacy in improving overall glycemia and in managing announced exercise in numerous studies. They are proven to increase time in range (70-180 mg/dL) and can especially counteract nocturnal hypoglycemia, even when evening exercise was performed. AID-systems consist of a pump administering insulin as well as a CGM sensor (plus transmitter), both communicating with a control algorithm integrated into a device (insulin pump, mobile phone/smart watch). Nevertheless, without manual pre-exercise adaptions, these systems still face a significant challenge around physical activity. Automatically adapting to the rapidly changing insulin requirements during unannounced exercise and physical activity is still the Achilles' heel of current AID systems. There is an urgent need for improving current AID-systems to safely and automatically maintain glucose management without causing derailments - so that going forward, exercise announcements will not be necessary in the future. Therefore, this narrative literature review aimed to discuss technological strategies to how current AID-systems can be improved in the future and become more proficient in overcoming the hurdle of unannounced exercise. For this purpose, the current state-of-the-art therapy recommendations for AID and exercise as well as novel research approaches are presented along with potential future solutions - in order to rectify their deficiencies in the endeavor to achieve fully automated AID-systems even around unannounced exercise.
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Affiliation(s)
- Rebecca Tanja Zimmer
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Alexander Auth
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Janis Schierbauer
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Sandra Haupt
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Nadine Wachsmuth
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Paul Zimmermann
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Thomas Voit
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Tadej Battelino
- University Children's Hospital, Ljubljana, Slovenia, Department of Endocrinology, Diabetes and Metabolism, Bohoriceva 20, Ljubljana, Slovenia, 1000
- Slovenia;
| | - Harald Sourij
- Medical University of Graz, 31475, Auenbruggerplatz 15, 8036 Graz, Graz, Austria, 8036;
| | - Othmar Moser
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Universitätsstraße 30, Bayreuth, Bayern, Germany, 95440;
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4
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Freckmann G, Eichenlaub M, Waldenmaier D, Pleus S, Wehrstedt S, Haug C, Witthauer L, Jendle J, Hinzmann R, Thomas A, Eriksson Boija E, Makris K, Diem P, Tran N, Klonoff DC, Nichols JH, Slingerland RJ. Clinical Performance Evaluation of Continuous Glucose Monitoring Systems: A Scoping Review and Recommendations for Reporting. J Diabetes Sci Technol 2023; 17:1506-1526. [PMID: 37599389 PMCID: PMC10658695 DOI: 10.1177/19322968231190941] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
The use of different approaches for design and results presentation of studies for the clinical performance evaluation of continuous glucose monitoring (CGM) systems has long been recognized as a major challenge in comparing their results. However, a comprehensive characterization of the variability in study designs is currently unavailable. This article presents a scoping review of clinical CGM performance evaluations published between 2002 and 2022. Specifically, this review quantifies the prevalence of numerous options associated with various aspects of study design, including subject population, comparator (reference) method selection, testing procedures, and statistical accuracy evaluation. We found that there is a large variability in nearly all of those aspects and, in particular, in the characteristics of the comparator measurements. Furthermore, these characteristics as well as other crucial aspects of study design are often not reported in sufficient detail to allow an informed interpretation of study results. We therefore provide recommendations for reporting the general study design, CGM system use, comparator measurement approach, testing procedures, and data analysis/statistical performance evaluation. Additionally, this review aims to serve as a foundation for the development of a standardized CGM performance evaluation procedure, thereby supporting the goals and objectives of the Working Group on CGM established by the Scientific Division of the International Federation of Clinical Chemistry and Laboratory Medicine.
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Affiliation(s)
- Guido Freckmann
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Manuel Eichenlaub
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Delia Waldenmaier
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Stefan Pleus
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Stephanie Wehrstedt
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Cornelia Haug
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Lilian Witthauer
- Diabetes Center Berne, Bern, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Johan Jendle
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Rolf Hinzmann
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Roche Diabetes Care GmbH, Mannheim, Germany
| | - Andreas Thomas
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Pirna, Germany
| | - Elisabet Eriksson Boija
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Equalis AB, Uppsala, Sweden
| | - Konstantinos Makris
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Clinical Biochemistry Department, KAT General Hospital, Athens, Greece
| | - Peter Diem
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Endokrinologie Diabetologie Bern, Bern, Switzerland
| | - Nam Tran
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Department of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, CA, USA
| | - David C. Klonoff
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - James H. Nichols
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robbert J. Slingerland
- IFCC Scientific Division - Working Group on Continuous Glucose Monitoring
- Department of Clinical Chemistry, Isala Clinics, Zwolle, the Netherlands
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5
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Bishop FK, Addala A, Corbin KD, Muntis FR, Pratley RE, Riddell MC, Mayer-Davis EJ, Maahs DM, Zaharieva DP. An Overview of Diet and Physical Activity for Healthy Weight in Adolescents and Young Adults with Type 1 Diabetes: Lessons Learned from the ACT1ON Consortium. Nutrients 2023; 15:nu15112500. [PMID: 37299463 DOI: 10.3390/nu15112500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/18/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
The prevalence of overweight and obesity in young people with type 1 diabetes (T1D) now parallels that of the general population. Excess adiposity increases the risk of cardiovascular disease, which is already elevated up to 10-fold in T1D, underscoring a compelling need to address weight management as part of routine T1D care. Sustainable weight management requires both diet and physical activity (PA). Diet and PA approaches must be optimized towards the underlying metabolic and behavioral challenges unique to T1D to support glycemic control throughout the day. Diet strategies for people with T1D need to take into consideration glycemic management, metabolic status, clinical goals, personal preferences, and sociocultural considerations. A major barrier to weight management in this high-risk population is the challenge of integrating regular PA with day-to-day management of T1D. Specifically, exercise poses a substantial challenge due to the increased risk of hypoglycemia and/or hyperglycemia. Indeed, about two-thirds of individuals with T1D do not engage in the recommended amount of PA. Hypoglycemia presents a serious health risk, yet prevention and treatment often necessitates the consumption of additional calories, which may prohibit weight loss over time. Exercising safely is a concern and challenge with weight management and maintaining cardiometabolic health for individuals living with T1D and many healthcare professionals. Thus, a tremendous opportunity exists to improve exercise participation and cardiometabolic outcomes in this population. This article will review dietary strategies, the role of combined PA and diet for weight management, current resources for PA and glucose management, barriers to PA adherence in adults with T1D, as well as findings and lessons learned from the Advancing Care for Type 1 Diabetes and Obesity Network (ACT1ON).
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Affiliation(s)
- Franziska K Bishop
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
| | - Ananta Addala
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
| | - Karen D Corbin
- AdventHealth, Translational Research Institute, Orlando, FL 32804, USA
| | - Franklin R Muntis
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Richard E Pratley
- AdventHealth, Translational Research Institute, Orlando, FL 32804, USA
| | - Michael C Riddell
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, ON M3J 1P3, Canada
| | - Elizabeth J Mayer-Davis
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
- Stanford Diabetes Research Center, Stanford, CA 94305, USA
| | - Dessi P Zaharieva
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA 94304, USA
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6
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Scott SN, Hayes C, Zeuger T, Davies AP, Andrews RC, Cocks M. Clinical Considerations and Practical Advice for People Living With Type 2 Diabetes Who Undertake Regular Exercise or Aim to Exercise Competitively. Diabetes Spectr 2023; 36:114-126. [PMID: 37193206 PMCID: PMC10182970 DOI: 10.2337/dsi22-0015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
This article provides practical tips for advising people with type 2 diabetes on how to engage in regular exercise safely and effectively. Its focus is on individuals who wish to exceed the minimum physical activity recommendation of 150 minutes/week of moderate-intensity exercise or even compete in their chosen sport. Health care professionals who work with such individuals must have a basic understanding of glucose metabolism during exercise, nutritional requirements, blood glucose management, medications, and sport-related considerations. This article reviews three key aspects of individualized care for physically active people with type 2 diabetes: 1) initial medical assessment and pre-exercise screenings, 2) glucose monitoring and nutritional considerations, and 3) the combined glycemic effects of exercise and medications.
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Affiliation(s)
- Sam N. Scott
- Team Novo Nordisk Professional Cycling Team, Atlanta, GA
| | | | - Thomas Zeuger
- Department of Endocrinology and Metabolic Diseases, Kantonsspital Olten, Olten, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern, University Hospital, University of Bern, Bern, Switzerland
| | - Andrew P. Davies
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, U.K
| | - Rob C. Andrews
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - Matthew Cocks
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, U.K
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7
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Zaharieva DP, Morrison D, Paldus B, Lal RA, Buckingham BA, O'Neal DN. Practical Aspects and Exercise Safety Benefits of Automated Insulin Delivery Systems in Type 1 Diabetes. Diabetes Spectr 2023; 36:127-136. [PMID: 37193203 PMCID: PMC10182962 DOI: 10.2337/dsi22-0018] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Regular exercise is essential to overall cardiovascular health and well-being in people with type 1 diabetes, but exercise can also lead to increased glycemic disturbances. Automated insulin delivery (AID) technology has been shown to modestly improve glycemic time in range (TIR) in adults with type 1 diabetes and significantly improve TIR in youth with type 1 diabetes. Available AID systems still require some user-initiated changes to the settings and, in some cases, significant pre-planning for exercise. Many exercise recommendations for type 1 diabetes were developed initially for people using multiple daily insulin injections or insulin pump therapy. This article highlights recommendations and practical strategies for using AID around exercise in type 1 diabetes.
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Affiliation(s)
- Dessi P Zaharieva
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Dale Morrison
- Department of Medicine, The University of Melbourne, Melbourne, Australia
| | - Barbora Paldus
- Department of Medicine, The University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Rayhan A Lal
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
- Stanford Diabetes Research Center, Stanford, CA
- Division of Endocrinology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Bruce A Buckingham
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
- Stanford Diabetes Research Center, Stanford, CA
| | - David N O'Neal
- Department of Medicine, The University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
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Abstract
Regular physical activity improves cardiometabolic and musculoskeletal health, helps with weight management, improves cognitive and psychosocial functioning, and is associated with reduced mortality related to cancer and diabetes mellitus. However, turnover rates of glucose in the blood increase dramatically during exercise, which often results in either hypoglycaemia or hyperglycaemia as well as increased glycaemic variability in individuals with type 1 diabetes mellitus (T1DM). A complex neuroendocrine response to an acute exercise session helps to maintain circulating levels of glucose in a fairly tight range in healthy individuals, while several abnormal physiological processes and limitations of insulin therapy limit the capacity of people with T1DM to exercise in a normoglycaemic state. Knowledge of the acute and chronic effects of exercise and regular physical activity is critical for the formulation of clinical strategies for the management of insulin and nutrition for active patients with T1DM. Emerging diabetes-related technologies, such as continuous glucose monitors, automated insulin delivery systems and the administration of solubilized glucagon, are demonstrating efficacy for preserving glucose homeostasis during and after exercise in this population of patients. This Review highlights the beneficial effects of regular exercise and details the complex endocrine and metabolic responses to different types of exercise for adults with T1DM. An overview of basic clinical strategies for the preservation of glucose homeostasis using emerging technologies is also provided.
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Affiliation(s)
- Michael C Riddell
- Muscle Health Research Centre, School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
- LMC Diabetes and Endocrinology, Toronto, Ontario, Canada.
| | - Anne L Peters
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Rigon FA, Ronsoni MF, Vianna AGD, de Lucca Schiavon L, Hohl A, van de Sande-Lee S. Flash glucose monitoring system in special situations. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022; 66:883-894. [PMID: 35657123 PMCID: PMC10118756 DOI: 10.20945/2359-3997000000479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 02/04/2022] [Indexed: 02/08/2023]
Abstract
The management of diabetes mellitus (DM) requires maintaining glycemic control, and patients must keep their blood glucose levels close to the normal range to reduce the risk of microvascular complications and cardiovascular events. While glycated hemoglobin (A1C) is currently the primary measure for glucose management and a key marker for long-term complications, it does not provide information on acute glycemic excursions and overall glycemic variability. These limitations may even be higher in some special situations, thereby compromising A1C accuracy, especially when wider glycemic variability is expected and/or when the glycemic goal is more stringent. To attain adequate glycemic control, continuous glucose monitoring (CGM) is more useful than self-monitoring of blood glucose (SMBG), as it is more convenient and provides a greater amount of data. Flash Glucose Monitoring (isCGM /FGM) is a widely accepted option of CGM for measuring interstitial glucose levels in individuals with DM. However, its application under special conditions, such as pregnancy, patients on hemodialysis, patients with cirrhosis, during hospitalization in the intensive care unit and during physical exercise has not yet been fully validated. This review addresses some of these specific situations in which hypoglycemia should be avoided, or in pregnancy, where strict glycemic control is essential, and the application of isCGM/FGM could alleviate the shortcomings associated with poor glucose control or high glycemic variability, thereby contributing to high-quality care.
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Affiliation(s)
- Fernanda Augustini Rigon
- Programa de Pós-graduação em Ciências Médicas, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil,
| | - Marcelo Fernando Ronsoni
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | - André Gustavo Daher Vianna
- Centro de Diabetes de Curitiba, Departamento de Doenças Endócrinas, Hospital Nossa Senhora das Graças, Curitiba, PR, Brasil
| | | | - Alexandre Hohl
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | - Simone van de Sande-Lee
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
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Murillo S, Brugnara L, Servitja JM, Novials A. High Intensity Interval Training reduces hypoglycemic events compared with continuous aerobic training in individuals with type 1 diabetes: HIIT and hypoglycemia in type 1 diabetes. DIABETES & METABOLISM 2022; 48:101361. [PMID: 35714884 DOI: 10.1016/j.diabet.2022.101361] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/17/2022] [Accepted: 05/30/2022] [Indexed: 11/17/2022]
Abstract
AIMS to investigate if a High Intensity Interval Training (HIIT) protocol improves glycemic control and fitness capacity, compared to traditional moderate Intensity Continuous Training (MICT) exercise. METHODS 30 sedentary individuals with type 1 diabetes (T1D) and 26 healthy controls were assigned to a 3-week HIIT or MICT protocol. Blood glucose levels by continuous glucose monitoring system and fitness status were compared before and after the study period. RESULTS During workouts, blood glucose levels remained stable in HIIT exercise (+3.2 ± 16.2 mg/dl (p = 0.43)), while decreased in MICT (-27.1 ± 17.5 mg/dl (p < 0.0001)) exercise. In addition, out of the 9 training sessions, HIIT volunteers needed to take carbohydrate supplements to avoid hypoglycemia in 0.56 ± 0.9 sessions, compared to 1.83 ± 0.5 sessions (p < 0.04) in MICT individuals. In the analysis of blood glucose levels between rest and training days (24h-period), training significantly reduced mean glycemic levels in both groups, but the MICT exercise results in an increase in the frequency of hypoglycemic episodes. The response to exercise seems to be attenuated in individuals with T1D, especially in HIIT group. CONCLUSION HIIT training results in a greater glycemic stability, with reduction of hypoglycemic episodes.
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Affiliation(s)
- Serafin Murillo
- IDIBAPS, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain; CIBERDEM, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Barcelona, Spain; Hospital Clinic de Barcelona, Barcelona, Spain; Sant Joan de Déu Hospital, Barcelona, Spain; Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Laura Brugnara
- IDIBAPS, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain; CIBERDEM, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Barcelona, Spain; Hospital Clinic de Barcelona, Barcelona, Spain
| | - Joan-Marc Servitja
- IDIBAPS, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain; CIBERDEM, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Barcelona, Spain
| | - Anna Novials
- IDIBAPS, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain; CIBERDEM, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Barcelona, Spain; Hospital Clinic de Barcelona, Barcelona, Spain.
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11
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Hall RM, Dyhrberg S, McTavish A, McTavish L, Corley B, Krebs JD. Where can you wear your Libre? Using the FreeStyle Libre continuous glucose monitor on alternative sites. Diabetes Obes Metab 2022; 24:675-683. [PMID: 34931427 DOI: 10.1111/dom.14630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/03/2021] [Accepted: 12/18/2021] [Indexed: 11/29/2022]
Abstract
AIM To investigate the accuracy and acceptability of the FreeStyle Libre Flash continuous glucose monitoring system (FSL-CGM) at alternative sites during free living and under experimental conditions. MATERIALS AND METHODS Participants with type 1 diabetes were provided with three FSL-CGM sensors applied to the upper arm, the lower back, and the anterior chest. On day 2 or 3, FSL-CGM sensor glucose was compared with venous glucose following a standard meal, during and after an exercise test, and after skin cooling. Participants completed 14-day use of the sensors with concomitant sensor scanning at all sites and capillary glucose tests. The primary outcome was accuracy between sensor sites of 14-day mean glucose. Clarke's error grids, precision absolute relative deviation, and mean absolute relative deviation were calculated. RESULTS In the 20 participants, compared with the arm sensor, the accuracy of the back sensor and the chest sensor was 97.9% and 98%, respectively. Under experimental conditions, the arm sensor was more accurate than that of the back and chest. All the sensors recorded higher glucose concentration than venous samples during exercise. The arm and chest sites were most preferred, with the greatest sensor failures from the back. CONCLUSIONS The FSL-CGM is clinically accurate when the sensors are applied to alternate chest or back sites. Greater variability occurs during rapid changes in glucose concentration with all sensor sites compared with venous glucose. Understanding these variabilities allows appropriate use of an economically viable continuous glucose monitor.
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Affiliation(s)
- Rosemary M Hall
- Endocrine, Diabetes and Research Centre, Wellington Regional Hospital, Wellington, New Zealand
- Department of Medicine, University of Otago, Wellington, New Zealand
| | | | | | - Lindsay McTavish
- Endocrine, Diabetes and Research Centre, Wellington Regional Hospital, Wellington, New Zealand
| | - Brian Corley
- Endocrine, Diabetes and Research Centre, Wellington Regional Hospital, Wellington, New Zealand
| | - Jeremy D Krebs
- Endocrine, Diabetes and Research Centre, Wellington Regional Hospital, Wellington, New Zealand
- Department of Medicine, University of Otago, Wellington, New Zealand
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12
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Riddell MC, Shakeri D, Scott SN. A Brief Review on the Evolution of Technology in Exercise and Sport in Type 1 Diabetes: Past, Present, and Future. Diabetes Technol Ther 2022; 24:289-298. [PMID: 34809493 DOI: 10.1089/dia.2021.0427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
One hundred years ago, insulin was first used to successfully lower blood glucose levels in young people living with what was then called juvenile diabetes. While insulin was not a cure for diabetes, it allowed individuals to resume a near normal life and have some freedom to eat more liberally and gain the strength they needed to live a more active lifestyle. Since then, a number of therapeutic and technical advances have arisen to further improve the health and wellbeing of individuals living with type 1 diabetes, allowing many to participate in sport at the local, regional, national or international level of competition. This review and commentary highlights some of the key advances in diabetes management in sport over the last 100 years since the discovery of insulin.
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Affiliation(s)
- Michael C Riddell
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - Dorsa Shakeri
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - Sam N Scott
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, University of Bern, Bern, Switzerland
- Team Novo Nordisk Professional Cycling Team, Atlanta, Georgia, USA
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13
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Zaharieva DP, Riddell MC. Advances in Exercise and Nutrition as Therapy in Diabetes. Diabetes Technol Ther 2022; 24:S129-S142. [PMID: 35475701 DOI: 10.1089/dia.2022.2508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Dessi P Zaharieva
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Michael C Riddell
- School of Kinesiology and Health Science, Faculty of Health, Muscle Health Research Centre, York University, Toronto, Ontario, Canada
- LMC Diabetes & Endocrinology, Toronto, Ontario, Canada
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14
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Müller-Korbsch M, Rega-Kaun G, Fasching P, Fangmeyer-Binder M, Fruehwald L, Heer M. RtCGM Performance at Different Sensor Wear Sites During Prolonged Aerobic Exercise - Can the rtCGM Sensor be Worn Anywhere on the Body? J Diabetes Sci Technol 2022; 16:250-251. [PMID: 34396797 PMCID: PMC8875058 DOI: 10.1177/19322968211036756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Michael Müller-Korbsch
- MedVienna Aerztezentrum, Vienna, Austria
- Michael Müller-Korbsch, MD, MedVienna Aerztezentrum, Sensengasse 3, Vienna, 1090, Austria.
| | - Gersina Rega-Kaun
- 5th Medizinische Abteilung für Endokrinologie und Rheumatologie, Wilhelminenspital Austria, Vienna, Austria
| | - Peter Fasching
- 5th Medizinische Abteilung für Endokrinologie und Rheumatologie, Wilhelminenspital Austria, Vienna, Austria
| | - Maria Fangmeyer-Binder
- 5th Medizinische Abteilung für Endokrinologie und Rheumatologie, Wilhelminenspital Austria, Vienna, Austria
| | - Lisa Fruehwald
- 5th Medizinische Abteilung für Endokrinologie und Rheumatologie, Wilhelminenspital Austria, Vienna, Austria
| | - Michael Heer
- University of Applied Sciences Technikum Wien, Vienna, Austria
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15
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Rilstone S, Spurway P, Oliver N, Hill NE. Nutritional support for a person with type 1 diabetes undertaking endurance swimming. Front Endocrinol (Lausanne) 2022; 13:1038294. [PMID: 36425473 PMCID: PMC9679002 DOI: 10.3389/fendo.2022.1038294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/17/2022] [Indexed: 11/11/2022] Open
Abstract
Long distance and open water swimming have increased in popularity over recent years. Swimming a long distance in lakes, rivers and the sea present numerous challenges, including cold water exposure and maintaining adequate nutritional intake to fuel exercising muscles. Guidelines exist outlining issues to consider and potential solutions to overcome the difficulties in feeding athletes. Exercising with type 1 diabetes adds further complexity, mostly around matching insulin to the recommended high carbohydrate intake, but also because of the way in which higher circulating insulin levels affect glucose utilisation and fat oxidation. This paper describes the nutritional considerations for people with type 1 diabetes intending to undertake long distance open water events, and insulin management suggestions to trial alongside. In addition, we include personal testimony from a swimmer with type 1 diabetes describing the challenges and considerations he faced when undertaking marathon swimming.
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Affiliation(s)
- Siân Rilstone
- Department of Nutrition & Dietetics, Imperial College Healthcare National Health Service (NHS) Trust, London, United Kingdom
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- *Correspondence: Siân Rilstone,
| | | | - Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Neil E. Hill
- Department of Endocrinology & Diabetes, Imperial College Healthcare NHS Trust, London, United Kingdom
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16
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Effects of High-Intensity Interval Training Protocols on Liver Enzymes and Wellness in Women. ACTA ACUST UNITED AC 2021; 2021:5554597. [PMID: 34007845 PMCID: PMC8110421 DOI: 10.1155/2021/5554597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/24/2021] [Indexed: 11/18/2022]
Abstract
Background Single-modality, high-intensity interval training (HIIT) using traditional cardiorespiratory exercise selection has been found to provide similar and sometimes superior cardiometabolic effects compared with moderate-intensity continuous training. However, little is known regarding the cardiometabolic and psychosocial effects of HIIT using resistance training modalities. Therefore, this study aims to compare the effects of HIIT using rowing (R-HIIT) and multimodal HIIT (MM-HIIT) using resistance training on liver enzymes, cardiometabolic risk factors, and psychosocial outcomes. Method Recreationally active females with a body mass index <30 kg/m2 (N = 16, 23.0 ± 5.9 years) were randomized into a MM-HIIT or R-HIIT group and completed a 12-week HIIT intervention (ClinicalTrials.gov registration number: https://clinicaltrials.gov/ct2/show/NCT03093441) using principles of social cognitive theory (SCT). Participants completed pre- and postintervention measurements on anthropometrics, resting heart rate, blood pressure, blood measures (lipids, liver enzymes, and glucose), exercise self-efficacy, and perceived wellness. Analysis of covariance was used to examine differences in postintervention measures between groups after controlling for baseline values, waist circumference, and waist-to-height ratio. Results R-HIIT group had significantly decreased alanine aminotransferase (mean difference = 13.16, P=0.013, effect size (ES) = 0.44, confidence interval (CI) = 3.40 to 22.92) and aspartate aminotransferase (mean difference = 10.79, P=0.024, ES = 0.38, CI = 1.67 to 19.90) levels compared with the M-HIIT group, and the whole group had improved wellness scores (14.72 ± 2.6 to 16.89 ± 2.76, P=0.002). Conclusion R-HIIT may be an effective preventative method for improving liver health in females without obesity. When using principles of SCT, HIIT may enhance overall well-being.
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17
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Ergun-Longmire B, Clemente E, Vining-Maravolo P, Roberts C, Buth K, Greydanus DE. Diabetes education in pediatrics: How to survive diabetes. Dis Mon 2021; 67:101153. [PMID: 33541707 DOI: 10.1016/j.disamonth.2021.101153] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Diabetes mellitus is the most common abnormal carbohydrate metabolism disorder affecting millions of people worldwide. It is characterized by hyperglycemia as a result of ß-cell destruction or dysfunction by both genetic and environmental factors. Over time chronic hyperglycemia leads to microvascular (i.e., retinopathy, nephropathy and neuropathy) and macrovascular (i.e., ischemic heart disease, peripheral vascular disease, and cerebrovascular disease) complications of diabetes. Diabetes complication trials showed the importance of achieving near-normal glycemic control to prevent and/or reduce diabetes-related morbidity and mortality. There is a staggering rate of increased incidence of diabetes in youth, raising concerns for future generations' health, quality of life and its enormous economic burden. Despite advancements in the technology, diabetes management remains cumbersome. Training individuals with diabetes to gain life-long survival skills requires a comprehensive and ongoing diabetes education by a multidisciplinary team. Diabetes education and training start at the time of diagnosis of diabetes and should be continuous throughout the course of disease. The goal is to empower the individuals and families to gain diabetes self-management skills. Diabetes education must be individualized depending on the individual's age, education, family dynamics, and support. In this article, we review the history of diabetes, etiopathogenesis and clinical presentation of both type 1 and type 2 diabetes in children as well as adolescents. We then focus on diabetes management with education methods and materials.
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Affiliation(s)
- Berrin Ergun-Longmire
- Associate Professor, Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA.
| | - Ethel Clemente
- Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA
| | - Patricia Vining-Maravolo
- Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA
| | - Cheryl Roberts
- Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA
| | - Koby Buth
- Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA
| | - Donald E Greydanus
- Professor, Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI United States
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18
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A Comprehensive Review of Continuous Glucose Monitoring Accuracy during Exercise Periods. SENSORS 2021; 21:s21020479. [PMID: 33445438 PMCID: PMC7828017 DOI: 10.3390/s21020479] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/29/2020] [Accepted: 01/05/2021] [Indexed: 12/15/2022]
Abstract
Continuous Glucose Monitoring (CGM) has been a springboard of new diabetes management technologies such as integrated sensor-pump systems, the artificial pancreas, and more recently, smart pens. It also allows patients to make better informed decisions compared to a few measurements per day from a glucometer. However, CGM accuracy is reportedly affected during exercise periods, which can impact the effectiveness of CGM-based treatments. In this review, several studies that used CGM during exercise periods are scrutinized. An extensive literature review of clinical trials including exercise and CGM in type 1 diabetes was conducted. The gathered data were critically analysed, especially the Mean Absolute Relative Difference (MARD), as the main metric of glucose accuracy. Most papers did not provide accuracy metrics that differentiated between exercise and rest (non-exercise) periods, which hindered comparative data analysis. Nevertheless, the statistic results confirmed that CGM during exercise periods is less accurate.
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19
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Moser O, Riddell MC, Eckstein ML, Adolfsson P, Rabasa-Lhoret R, van den Boom L, Gillard P, Nørgaard K, Oliver NS, Zaharieva DP, Battelino T, de Beaufort C, Bergenstal RM, Buckingham B, Cengiz E, Deeb A, Heise T, Heller S, Kowalski AJ, Leelarathna L, Mathieu C, Stettler C, Tauschmann M, Thabit H, Wilmot EG, Sourij H, Smart CE, Jacobs PG, Bracken RM, Mader JK. Glucose management for exercise using continuous glucose monitoring (CGM) and intermittently scanned CGM (isCGM) systems in type 1 diabetes: position statement of the European Association for the Study of Diabetes (EASD) and of the International Society for Pediatric and Adolescent Diabetes (ISPAD) endorsed by JDRF and supported by the American Diabetes Association (ADA). Diabetologia 2020; 63:2501-2520. [PMID: 33047169 DOI: 10.1007/s00125-020-05263-9] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Physical exercise is an important component in the management of type 1 diabetes across the lifespan. Yet, acute exercise increases the risk of dysglycaemia, and the direction of glycaemic excursions depends, to some extent, on the intensity and duration of the type of exercise. Understandably, fear of hypoglycaemia is one of the strongest barriers to incorporating exercise into daily life. Risk of hypoglycaemia during and after exercise can be lowered when insulin-dose adjustments are made and/or additional carbohydrates are consumed. Glycaemic management during exercise has been made easier with continuous glucose monitoring (CGM) and intermittently scanned continuous glucose monitoring (isCGM) systems; however, because of the complexity of CGM and isCGM systems, both individuals with type 1 diabetes and their healthcare professionals may struggle with the interpretation of given information to maximise the technological potential for effective use around exercise (i.e. before, during and after). This position statement highlights the recent advancements in CGM and isCGM technology, with a focus on the evidence base for their efficacy to sense glucose around exercise and adaptations in the use of these emerging tools, and updates the guidance for exercise in adults, children and adolescents with type 1 diabetes. Graphical abstract.
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Affiliation(s)
- Othmar Moser
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 2, 8036, Graz, Austria.
- Division of Exercise Physiology and Metabolism, Department of Sport Science, University of Bayreuth, Bayreuth, Germany.
| | - Michael C Riddell
- School of Kinesiology and Health Science, York University, Toronto, ON, Canada
| | - Max L Eckstein
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 2, 8036, Graz, Austria
| | - Peter Adolfsson
- Department of Pediatrics, The Hospital of Halland, Kungsbacka, Sweden
- Sahlgrenska Academy at University of Gothenburg, Institution of Clinical Sciences, Gothenburg, Sweden
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal, Montréal, QC, Canada
- Endocrinology Division Centre Hospitalier Universitaire de Montréal, Montréal, QC, Canada
- Nutrition Department, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Montreal Diabetes Research Centre, Montréal, QC, Canada
| | | | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - Nick S Oliver
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College, London, London, UK
| | - Dessi P Zaharieva
- Department of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA
| | - Tadej Battelino
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Carine de Beaufort
- Department of Pediatric Diabetes and Endocrinology, Centre Hospitalier Luxembourg, Luxembourg, Luxembourg
- Department of Pediatrics, Free University Brussels (VUB), Brussels, Belgium
| | | | - Bruce Buckingham
- Department of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA
| | - Eda Cengiz
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
- Bahçeşehir Üniversitesi, Istanbul, Turkey
| | - Asma Deeb
- Paediatric Endocrinology Division, Shaikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates
| | | | - Simon Heller
- Department of Oncology & Metabolism, The Medical School, University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Lalantha Leelarathna
- Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Christoph Stettler
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Martin Tauschmann
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Hood Thabit
- Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Emma G Wilmot
- Diabetes Department, Royal Derby Hospital, University Hospitals of Derby and Burton NHSFT, Derby, UK
- Faculty of Medicine & Health Sciences, University of Nottingham, Nottingham, UK
| | - Harald Sourij
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 2, 8036, Graz, Austria
| | - Carmel E Smart
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia
- Department of Paediatric Diabetes and Endocrinology, John Hunter Children's Hospital, Newcastle, NSW, Australia
| | - Peter G Jacobs
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA
| | - Richard M Bracken
- Applied Sport, Technology, Exercise and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, Swansea, UK
| | - Julia K Mader
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 2, 8036, Graz, Austria
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20
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Moser O, Riddell MC, Eckstein ML, Adolfsson P, Rabasa‐Lhoret R, van den Boom L, Gillard P, Nørgaard K, Oliver NS, Zaharieva DP, Battelino T, de Beaufort C, Bergenstal RM, Buckingham B, Cengiz E, Deeb A, Heise T, Heller S, Kowalski AJ, Leelarathna L, Mathieu C, Stettler C, Tauschmann M, Thabit H, Wilmot EG, Sourij H, Smart CE, Jacobs PG, Bracken RM, Mader JK. Glucose management for exercise using continuous glucose monitoring (CGM) and intermittently scanned CGM (isCGM) systems in type 1 diabetes: position statement of the European Association for the Study of Diabetes (EASD) and of the International Society for Pediatric and Adolescent Diabetes (ISPAD) endorsed by JDRF and supported by the American Diabetes Association (ADA). Pediatr Diabetes 2020; 21:1375-1393. [PMID: 33047481 PMCID: PMC7702152 DOI: 10.1111/pedi.13105] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Physical exercise is an important component in the management of type 1 diabetes across the lifespan. Yet, acute exercise increases the risk of dysglycaemia, and the direction of glycaemic excursions depends, to some extent, on the intensity and duration of the type of exercise. Understandably, fear of hypoglycaemia is one of the strongest barriers to incorporating exercise into daily life. Risk of hypoglycaemia during and after exercise can be lowered when insulin-dose adjustments are made and/or additional carbohydrates are consumed. Glycaemic management during exercise has been made easier with continuous glucose monitoring (CGM) and intermittently scanned continuous glucose monitoring (isCGM) systems; however, because of the complexity of CGM and isCGM systems, both individuals with type 1 diabetes and their healthcare professionals may struggle with the interpretation of given information to maximise the technological potential for effective use around exercise (ie, before, during and after). This position statement highlights the recent advancements in CGM and isCGM technology, with a focus on the evidence base for their efficacy to sense glucose around exercise and adaptations in the use of these emerging tools, and updates the guidance for exercise in adults, children and adolescents with type 1 diabetes.
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Affiliation(s)
- Othmar Moser
- Division of Endocrinology and Diabetology, Department of Internal MedicineMedical University of GrazAustria
- Division of Exercise Physiology and Metabolism, Department of Sport Science, University of BayreuthBayreuthGermany
| | - Michael C. Riddell
- School of Kinesiology and Health ScienceYork UniversityTorontoOntarioCanada
| | - Max L. Eckstein
- Division of Endocrinology and Diabetology, Department of Internal MedicineMedical University of GrazAustria
| | - Peter Adolfsson
- Department of PediatricsThe Hospital of HallandKungsbackaSweden
- Sahlgrenska Academy at University of GothenburgInstitution of Clinical SciencesGothenburgSweden
| | - Rémi Rabasa‐Lhoret
- Institut de recherches Cliniques de MontréalMontréalQCCanada
- Endocrinology division Centre Hospitalier Universitaire de MontréalMontréalQCCanada
- Nutrition Department, Faculty of MedicineUniversité de MontréalMontréalQCCanada
- Montreal Diabetes Research CentreMontréalQCCanada
| | | | - Pieter Gillard
- Department of EndocrinologyUniversity Hospitals Leuven, KU LeuvenLeuvenBelgium
| | - Kirsten Nørgaard
- Steno Diabetes Center CopenhagenUniversity of CopenhagenCopenhagenDenmark
| | - Nick S. Oliver
- Department of Metabolism, Digestion and Reproduction, Faculty of MedicineImperial CollegeLondonLondonUK
| | - Dessi P. Zaharieva
- Department of Pediatric Endocrinology and DiabetesStanford University School of MedicineStanfordCaliforniaUSA
| | - Tadej Battelino
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, UMC ‐ University Children’s HospitalUniversity Medical Centre LjubljanaLjubljanaSlovenia
- Faculty of MedicineUniversity of LjubljanaLjubljanaSlovenia
| | - Carine de Beaufort
- Department of Pediatric Diabetes and EndocrinologyCentre Hospitalier LuxembourgLuxembourgLuxembourg
- Department of Pediatrics, Free University Brussels (VUB)BrusselsBelgium
| | | | - Bruce Buckingham
- Department of Pediatric Endocrinology and DiabetesStanford University School of MedicineStanfordCaliforniaUSA
| | - Eda Cengiz
- Department of Pediatrics, Yale School of MedicineNew HavenConnecticutUSA
- Bahçeşehir Üniversitesi, IstanbulTurkey
| | - Asma Deeb
- Paediatric Endocrinology DivisionShaikh Shakhbout Medical CityAbu DhabiUnited Arab Emirates
| | | | - Simon Heller
- Department of Oncology & Metabolism, The Medical SchoolUniversity of SheffieldSheffieldUK
- Sheffield Teaching Hospitals NHS Foundation Trust, SheffieldUK
| | | | - Lalantha Leelarathna
- Manchester Diabetes Centre, Manchester University NHS Foundation TrustManchester Academic Health Science CentreManchesterUK
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUK
| | - Chantal Mathieu
- Department of EndocrinologyUniversity Hospitals Leuven, KU LeuvenLeuvenBelgium
| | - Christoph Stettler
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, InselspitalBern University Hospital and University of BernBernSwitzerland
| | - Martin Tauschmann
- Department of Pediatrics and Adolescent MedicineMedical University of ViennaViennaAustria
| | - Hood Thabit
- Manchester Diabetes Centre, Manchester University NHS Foundation TrustManchester Academic Health Science CentreManchesterUK
| | - Emma G. Wilmot
- Diabetes Department, Royal Derby Hospital, University Hospitals of Derby and Burton NHSFTDerbyUK
- Faculty of Medicine & Health SciencesUniversity of NottinghamNottinghamUK
| | - Harald Sourij
- Division of Endocrinology and Diabetology, Department of Internal MedicineMedical University of GrazAustria
| | - Carmel E. Smart
- School of Health Sciences, University of NewcastleCallaghanNew South WalesAustralia
- Department of Paediatric Diabetes and EndocrinologyJohn Hunter Children’s HospitalNewcastleNew South WalesAustralia
| | - Peter G. Jacobs
- Department of Biomedical EngineeringOregon Health & Science UniversityPortlandOregonUSA
| | - Richard M. Bracken
- Applied Sport, Technology, Exercise and Medicine Research Centre (A‐STEM), College of EngineeringSwansea UniversitySwanseaUK
| | - Julia K. Mader
- Division of Endocrinology and Diabetology, Department of Internal MedicineMedical University of GrazAustria
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21
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Glucose Control During Physical Activity and Exercise Using Closed Loop Technology in Adults and Adolescents with Type 1 Diabetes. Can J Diabetes 2020; 44:740-749. [DOI: 10.1016/j.jcjd.2020.06.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 05/28/2020] [Accepted: 06/01/2020] [Indexed: 12/13/2022]
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22
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Guillot FH, Jacobs PG, Wilson LM, Youssef JE, Gabo VB, Branigan DL, Tyler NS, Ramsey K, Riddell MC, Castle JR. Accuracy of the Dexcom G6 Glucose Sensor during Aerobic, Resistance, and Interval Exercise in Adults with Type 1 Diabetes. BIOSENSORS-BASEL 2020; 10:bios10100138. [PMID: 33003524 PMCID: PMC7600074 DOI: 10.3390/bios10100138] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 12/11/2022]
Abstract
The accuracy of continuous glucose monitoring (CGM) sensors may be significantly impacted by exercise. We evaluated the impact of three different types of exercise on the accuracy of the Dexcom G6 sensor. Twenty-four adults with type 1 diabetes on multiple daily injections wore a G6 sensor. Participants were randomized to aerobic, resistance, or high intensity interval training (HIIT) exercise. Each participant completed two in-clinic 30-min exercise sessions. The sensors were applied on average 5.3 days prior to the in-clinic visits (range 0.6–9.9). Capillary blood glucose (CBG) measurements with a Contour Next meter were performed before and after exercise as well as every 10 min during exercise. No CGM calibrations were performed. The median absolute relative difference (MARD) and median relative difference (MRD) of the CGM as compared with the reference CBG did not differ significantly from the start of exercise to the end exercise across all exercise types (ranges for aerobic MARD: 8.9 to 13.9% and MRD: −6.4 to 0.5%, resistance MARD: 7.7 to 14.5% and MRD: −8.3 to −2.9%, HIIT MARD: 12.1 to 16.8% and MRD: −14.3 to −9.1%). The accuracy of the no-calibration Dexcom G6 CGM was not significantly impacted by aerobic, resistance, or HIIT exercise.
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Affiliation(s)
- Florian H. Guillot
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR 97239, USA; (F.H.G.); (L.M.W.); (J.E.Y.); (V.B.G.); (D.L.B.); (J.R.C.)
| | - Peter G. Jacobs
- Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA;
- Correspondence:
| | - Leah M. Wilson
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR 97239, USA; (F.H.G.); (L.M.W.); (J.E.Y.); (V.B.G.); (D.L.B.); (J.R.C.)
| | - Joseph El Youssef
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR 97239, USA; (F.H.G.); (L.M.W.); (J.E.Y.); (V.B.G.); (D.L.B.); (J.R.C.)
- Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA;
| | - Virginia B. Gabo
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR 97239, USA; (F.H.G.); (L.M.W.); (J.E.Y.); (V.B.G.); (D.L.B.); (J.R.C.)
| | - Deborah L. Branigan
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR 97239, USA; (F.H.G.); (L.M.W.); (J.E.Y.); (V.B.G.); (D.L.B.); (J.R.C.)
| | - Nichole S. Tyler
- Artificial Intelligence for Medical Systems Lab, Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA;
| | - Katrina Ramsey
- Oregon Clinical and Translational Research Institute Biostatistics & Design Program, Oregon Health & Science University, Portland, OR 97239, USA;
| | - Michael C. Riddell
- Muscle Health Research Centre, School of Kinesiology and Health Science, York University, Toronto, ON M3J 1P3, Canada;
| | - Jessica R. Castle
- Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR 97239, USA; (F.H.G.); (L.M.W.); (J.E.Y.); (V.B.G.); (D.L.B.); (J.R.C.)
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23
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Abstract
Advances in technologies such as glucose monitors, exercise wearables, closed-loop systems, and various smartphone applications are helping many people with diabetes to be more physically active. These technologies are designed to overcome the challenges associated with exercise duration, mode, relative intensity, and absolute intensity, all of which affect glucose homeostasis in people living with diabetes. At present, optimal use of these technologies depends largely on motivation, competence, and adherence to daily diabetes care requirements. This article discusses recent technologies designed to help patients with diabetes to be more physically active, while also trying to improve glucose control around exercise.
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Affiliation(s)
- Michael C Riddell
- School of Kinesiology and Health Science, York University, Toronto, ON M3J 1P3, Canada; LMC Diabetes & Endocrinology, 1929 Bayview Avenue, Toronto, ON M4G 3E8, Canada; York University, 347 Bethune College, North York, Ontario M3J 1P3, Canada.
| | - Rubin Pooni
- School of Kinesiology and Health Science, York University, Toronto, ON M3J 1P3, Canada; York University, 347 Bethune College, North York, Ontario M3J 1P3, Canada
| | - Federico Y Fontana
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati, 43, 37121 Verona, Italy; Team Novo Nordisk Professional Cycling Team, 2144 Hills Avenue NW, Atlanta, 30318 GA, USA. https://twitter.com/FeedYourFlock
| | - Sam N Scott
- Team Novo Nordisk Professional Cycling Team, 2144 Hills Avenue NW, Atlanta, 30318 GA, USA; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland. https://twitter.com/SamNathanScott
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24
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Beck RW, Brown SA, Lum JW, Kovatchev BP. Nonadjunctive Use of Continuous Glucose Monitoring: The End of Fingersticks? Diabetes Technol Ther 2020; 22:67-68. [PMID: 31657622 DOI: 10.1089/dia.2019.0387] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Roy W Beck
- Jaeb Center for Health Research, Tampa, Florida
| | - Sue A Brown
- University of Virginia Center for Diabetes Technology, Charlottesville, Virginia
| | - John W Lum
- Jaeb Center for Health Research, Tampa, Florida
| | - Boris P Kovatchev
- University of Virginia Center for Diabetes Technology, Charlottesville, Virginia
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25
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Potashner D, Brown RE, Li A, Riddell MC, Aronson R. Paradoxical Rise in Hypoglycemia Symptoms With Development of Hyperglycemia During High-Intensity Interval Training in Type 1 Diabetes. Diabetes Care 2019; 42:2011-2014. [PMID: 31391201 DOI: 10.2337/dc19-0609] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 07/18/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the reliability of self-perception of glycemia during high-intensity interval training (HIIT) in subjects with type 1 diabetes. RESEARCH DESIGN AND METHODS This randomized crossover study included subjects who completed four fasted HIIT sessions. Subjects answered the Edinburgh Hypoglycemia Scale, estimated their blood glucose (BG), and had plasma glucose (PG) collected throughout exercise and recovery. RESULTS As PG increased throughout exercise, hypoglycemia scores increased across each category: autonomic (3.1-4.4, P < 0.05), neuroglycopenic (1.5-2.4, P < 0.05), and nonspecific (1.3-1.9, P < 0.05). Subjects' estimated BG showed a negative bias that widened as exercise progressed and peaked at -1.6 ± 3.3 mmol/L (P < 0.001) postinsulin correction. CONCLUSIONS During HIIT, despite progressing hyperglycemia, subjects experience increased hypoglycemia symptoms and tend to underestimate their BG level.
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Affiliation(s)
| | - Ruth E Brown
- LMC Diabetes & Endocrinology, Toronto, Ontario, Canada
| | - Aihua Li
- LMC Diabetes & Endocrinology, Toronto, Ontario, Canada
| | - Michael C Riddell
- LMC Diabetes & Endocrinology, Toronto, Ontario, Canada.,York University, Toronto, Ontario, Canada
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26
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Castle JR, Rodbard D. How Well Do Continuous Glucose Monitoring Systems Perform During Exercise? Diabetes Technol Ther 2019; 21:305-309. [PMID: 31157567 DOI: 10.1089/dia.2019.0132] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Jessica R Castle
- 1 Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, Oregon
| | - David Rodbard
- 2 Biomedical Informatics Consultants LLC, Potomac, Maryland
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