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Helleputte S, Stautemas J, Jansseune L, De Backer T, Marlier J, Lapauw B, Calders P. Glycemic Management Around Postprandial Exercise in People With Type 1 Diabetes: Challenge Accepted. J Clin Endocrinol Metab 2024; 109:2039-2052. [PMID: 38330239 DOI: 10.1210/clinem/dgae079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 02/01/2024] [Accepted: 02/06/2024] [Indexed: 02/10/2024]
Abstract
CONTEXT The precise glycemic impact and clinical relevance of postprandial exercise in type 1 diabetes (T1D) has not been clarified yet. OBJECTIVE This work aimed to examine acute, subacute, and late effects of postprandial exercise on blood glucose (BG). METHODS A randomized, controlled trial comprised 4 laboratory visits, with 24-hour follow-up at home. Participants included adults with T1D (n = 8), aged 44 ± 13 years, with body mass index of 24 ± 2.1. Intervention included 30 minutes of rest (CONTROL), walking (WALK), moderate-intensity (MOD), or intermittent high-intensity (IHE) exercise performed 60 minutes after a standardized meal. Main outcome measures included BG change during exercise/control (acute), and secondary outcomes included the subacute (≤2 h after) and late glycemic effects (≤24 h after). RESULTS Exercise reduced postprandial glucose (PPG) excursion compared to CONTROL, with a consistent BG decline in all patients for all modalities (mean declines -45 ± 24, -71 ± 39, and -35 ± 21 mg/dL, during WALK, MOD, and IHE, respectively (P < .001). For this decline, clinical superiority was demonstrated separately for each exercise modality vs CONTROL. Noninferiority of WALK vs MOD was not demonstrated, noninferiority of WALK vs IHE was demonstrated, and equivalence of IHE vs MOD was not demonstrated. Hypoglycemia did not occur during exercise. BG increased in the hour after exercise (more than after CONTROL; P < .001). More than half of participants showed hyperglycemia after exercise necessitating insulin correction. There were more nocturnal hypoglycemic events after exercise vs CONTROL (P < .05). CONCLUSION Postprandial exercise of all modalities is effective, safe, and feasible if necessary precautions are taken (ie, prandial insulin reductions), as exercise lowered maximal PPG excursion and caused a consistent and clinically relevant BG decline during exercise while there was no hypoglycemia during or shortly after exercise. However, there seem to be 2 remaining challenges: subacute postexercise hyperglycemia and nocturnal hypoglycemia.
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Affiliation(s)
- Simon Helleputte
- Faculty of Medicine and Health Sciences, Ghent University, Ghent 9000, Belgium
- Fonds Wetenschappelijk Onderzoek (FWO) Flanders, Brussel 1000, Belgium
| | - Jan Stautemas
- Faculty of Medicine and Health Sciences, Ghent University, Ghent 9000, Belgium
| | - Laura Jansseune
- Faculty of Medicine and Health Sciences, Ghent University, Ghent 9000, Belgium
| | - Tine De Backer
- Faculty of Medicine and Health Sciences, Ghent University, Ghent 9000, Belgium
- Department of Cardiology, Ghent University Hospital, Ghent 9000, Belgium
- Department of Internal Medicine & Paediatrics, Ghent University, Ghent 9000, Belgium
| | - Joke Marlier
- Department of Endocrinology, Ghent University Hospital, Ghent 9000, Belgium
| | - Bruno Lapauw
- Faculty of Medicine and Health Sciences, Ghent University, Ghent 9000, Belgium
- Department of Internal Medicine & Paediatrics, Ghent University, Ghent 9000, Belgium
- Department of Endocrinology, Ghent University Hospital, Ghent 9000, Belgium
| | - Patrick Calders
- Faculty of Medicine and Health Sciences, Ghent University, Ghent 9000, Belgium
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McClure RD, Carr ALJ, Boulé NG, Yardley JE. An Aerobic Cooldown After Morning, Fasted Resistance Exercise Has Limited Impact on Post-exercise Hyperglycemia in Adults With Type 1 Diabetes: A Randomized Crossover Study. Can J Diabetes 2024:S1499-2671(24)00105-9. [PMID: 38735638 DOI: 10.1016/j.jcjd.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/28/2024] [Accepted: 05/06/2024] [Indexed: 05/14/2024]
Abstract
OBJECTIVES Expert guidelines recommend an aerobic cooldown to lower blood glucose for the management of post-exercise hyperglycemia. This strategy has never been empirically tested. Our aim in this study was to compare the glycemic effects of performing an aerobic cooldown vs not performing a cooldown after a fasted resistance exercise session. We hypothesized that the cooldown would lower blood glucose in the 30 minutes after exercise and would result in less time in hyperglycemia in the 6 hours after exercise. METHODS Participants completed 2 identical resistance exercise sessions. One was followed by a low-intensity (30% of peak oxygen consumption) 10-minute cycle ergometer cooldown, and the other was followed by 10 minutes of sitting. We compared the changes in capillary glucose concentration during these sessions and continuous glucose monitoring (CGM) outcomes over 24 hours post-exercise. RESULTS Sixteen participants completed the trial. Capillary glucose was similar between conditions at the start of exercise (p=0.07). Capillary glucose concentration decreased by 0.6±1.0 mmol/L during the 10-minute cooldown, but it increased by 0.7±1.3 mmol/L during the same time in the no-cooldown condition. The resulting difference in glucose trajectory led to a significant interaction (p=0.02), with no effect from treatment (p=0.7). Capillary glucose values at the end of recovery were similar between conditions (p>0.05). There were no significant differences in CGM outcomes. CONCLUSIONS An aerobic cooldown reduces glucose concentration in the post-exercise period, but the small and brief nature of this reduction makes this strategy unlikely to be an effective treatment for hyperglycemia occurring after fasted exercise.
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Affiliation(s)
- Reid D McClure
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada; Alberta Diabetes Institute, Edmonton, Alberta, Canada
| | | | - Normand G Boulé
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada; Alberta Diabetes Institute, Edmonton, Alberta, Canada
| | - Jane E Yardley
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada; Alberta Diabetes Institute, Edmonton, Alberta, Canada; Augustana Faculty, University of Alberta, Camrose, Alberta, Canada; Women and Children's Health Research Institute, Edmonton, Alberta, Canada; Ecole de kinésiologie et des sciences de l'activité physique, Université de Montréal, Montréal, Québec, Canada; Institut de recherches cliniques de Montréal, Montréal, Québec, Canada.
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Li Z, Calhoun P, Rickels MR, Gal RL, Beck RW, Jacobs PG, Clements MA, Patton SR, Castle JR, Martin CK, Gillingham MB, Doyle FJ, Riddell MC. Factors Affecting Reproducibility of Change in Glucose During Exercise: Results From the Type 1 Diabetes and EXercise Initiative. J Diabetes Sci Technol 2024:19322968241234687. [PMID: 38456512 DOI: 10.1177/19322968241234687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
AIMS To evaluate factors affecting within-participant reproducibility in glycemic response to different forms of exercise. METHODS Structured exercise sessions ~30 minutes in length from the Type 1 Diabetes Exercise Initiative (T1DEXI) study were used to assess within-participant glycemic variability during and after exercise. The effect of several pre-exercise factors on the within-participant glycemic variability was evaluated. RESULTS Data from 476 adults with type 1 diabetes were analyzed. A participant's change in glucose during exercise was reproducible within 15 mg/dL of the participant's other exercise sessions only 32% of the time. Participants who exercised with lower and more consistent glucose level, insulin on board (IOB), and carbohydrate intake at exercise start had less variability in glycemic change during exercise. Participants with lower mean glucose (P < .001), lower glucose coefficient of variation (CV) (P < .001), and lower % time <70 mg/dL (P = .005) on sedentary days had less variable 24-hour post-exercise mean glucose. CONCLUSIONS Reproducibility of change in glucose during exercise was low in this cohort of adults with T1D, but more consistency in pre-exercise glucose levels, IOB, and carbohydrates may increase this reproducibility. Mean glucose variability in the 24 hours after exercise is influenced more by the participant's overall glycemic control than other modifiable factors.
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Affiliation(s)
- Zoey Li
- JAEB Center for Health Research, Tampa, FL, USA
| | | | - Michael R Rickels
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Robin L Gal
- JAEB Center for Health Research, Tampa, FL, USA
| | - Roy W Beck
- JAEB Center for Health Research, Tampa, FL, USA
| | - Peter G Jacobs
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA
| | | | | | - Jessica R Castle
- Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, OR, USA
| | - Corby K Martin
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Melanie B Gillingham
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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McGuire B, Dadah H, Oliver D. The effects of acute hyperglycaemia on sports and exercise performance in type 1 diabetes: A systematic review and meta-analysis. J Sci Med Sport 2024; 27:78-85. [PMID: 38030440 DOI: 10.1016/j.jsams.2023.11.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/29/2023] [Accepted: 11/14/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVES People with type 1 diabetes (T1D) are advised by health care professionals to target mild hyperglycaemia before and during exercise, to reduce the risk of hypoglycaemia. This review aimed to summarise the available evidence on the effects of acute hyperglycaemia on sports and exercise performance in T1D. DESIGN Systematic review and meta-analysis. METHODS Medline, EMBASE, CENTRAL, and Web of Science were searched until 29th May 2023 for studies investigating the effects of acute hyperglycaemia on any sports or exercise performance outcome in T1D. Random-effects meta-analysis was performed using standardised mean differences (SMD) when more than one study reported data for similar outcomes. Certainty of evidence for each outcome was assessed using GRADE. RESULTS Seven studies were included in the review, comprising data from 119 people with T1D. Meta-analysis provided moderate-certainty evidence that acute hyperglycaemia does not significantly affect aerobic exercise performance (SMD -0.17; 95 % CI -0.59, 0.26; p = 0.44). There is low- or very-low certainty evidence that acute hyperglycaemia has no effect on anaerobic (two outcomes), neuromuscular (seven outcomes) or neurocognitive performance (three outcomes), except impaired isometric knee extension strength. One study provided low-certainty evidence that the performance effects of hyperglycaemia may depend on circulating insulin levels. CONCLUSIONS Acute hyperglycaemia before or during exercise appears unlikely to affect aerobic performance to an extent that is relevant to most people with T1D, based on limited evidence. Future research in this field should focus on anaerobic, neuromuscular and neurocognitive performance, and examine the relevance of circulating insulin levels.
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Affiliation(s)
| | - Hashim Dadah
- St George's University Hospitals NHS Foundation Trust, UK
| | - Dominic Oliver
- Department of Psychiatry, University of Oxford, UK; NIHR Oxford Health Biomedical Research Centre, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
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Zimmer RT, Birnbaumer P, Sternad C, Zunner BEM, Schierbauer J, Fritsch M, Fröhlich-Reiterer E, Hofmann P, Sourij H, Aberer F, Moser O. Impact of a 4-week intensive track and field training intervention on glycaemia in adolescents with type 1 diabetes: The ChilDFiT1 study. Diabetes Obes Metab 2024; 26:631-641. [PMID: 37985360 DOI: 10.1111/dom.15352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/10/2023] [Accepted: 10/17/2023] [Indexed: 11/22/2023]
Abstract
AIM To investigate the safety and efficacy of track and field training compared with intensification of insulin treatment only in adolescents with type 1 diabetes (T1D). MATERIALS AND METHODS Eighteen adolescents (seven females) with T1D were included (age 15.1 ± 1.1 years, HbA1c 7.3% ± 1.0% [56.3 ± 10.9 mmol/mol]). After a 4-week observational control phase, participants were randomized to either stand-alone intensive glycaemic management (IT; telemedicine or on-site visits, three times/week) or additionally performed track and field exercise (EX; three 60-minute sessions/week) for 4 weeks. Glycaemia was assessed via continuous glucose monitoring during observational control and intervention phases. RESULTS Time in range (70-180 mg/dL; 3.9-10.0 mmol/L) significantly improved from the observational control phase to the exercise intervention phase in EX (69% ± 13% vs. 72% ± 11%, P = .049), but not in IT (59% ± 22% vs. 62% ± 16%, P = .399). Time below range 1 (54-69 mg/dL; < 3.9 mmol/L) improved in IT (3.1% ± 1.9% vs. 2.0% ± 0.8%, P = .017) and remained stable in EX (2.0% ± 1.7 vs. 1.9% ± 1.1%, P = .999). The EX group's HbA1c ameliorated preintervention to postintervention (mean difference: ΔHbA1c -0.19% ± 0.17%, P = .042), which was not seen within the IT group (ΔHbA1c -0.16% ± 0.37%, P = .40). Glucose standard deviation was reduced significantly in EX (55 ± 11 vs. 51 ± 10 mg/dL [3.1 ± 0.6 vs. 2.8 ± 0.6 mmol/L], P = .011), but not in IT (70 ± 24 vs. 63 ± 18 mg/dL [3.9 ± 1.3 vs. 3.5 ± 1.0 mmol/L], P = .186). CONCLUSION Track and field training combined with intensive glycaemic management improved glycaemia in adolescents with T1D, which was not observed in the non-exercise group.
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Affiliation(s)
- Rebecca T Zimmer
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University Bayreuth, Bayreuth, Germany
| | - Philipp Birnbaumer
- Exercise Physiology, Training & Training Therapy Research Group, Institute of Human Movement Science, Sport and Health, University of Graz, Graz, Austria
| | - Christoph Sternad
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Beate E M Zunner
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University Bayreuth, Bayreuth, Germany
| | - Janis Schierbauer
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University Bayreuth, Bayreuth, Germany
| | - Maria Fritsch
- Department of Pediatrics and Adolescent Medicine, Division of General Pediatrics, Medical University Graz, Graz, Austria
| | - Elke Fröhlich-Reiterer
- Department of Pediatrics and Adolescent Medicine, Division of General Pediatrics, Medical University Graz, Graz, Austria
| | - Peter Hofmann
- Exercise Physiology, Training & Training Therapy Research Group, Institute of Human Movement Science, Sport and Health, University of Graz, Graz, Austria
| | - Harald Sourij
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Felix Aberer
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University Bayreuth, Bayreuth, Germany
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Othmar Moser
- Division of Exercise Physiology and Metabolism, BaySpo-Bayreuth Center of Sport Science, University Bayreuth, Bayreuth, Germany
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
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Muntis FR, Mayer-Davis EJ, Shaikh SR, Crandell J, Evenson KR, Smith-Ryan AE. Post-Exercise Protein Intake May Reduce Time in Hypoglycemia Following Moderate-Intensity Continuous Exercise among Adults with Type 1 Diabetes. Nutrients 2023; 15:4268. [PMID: 37836552 PMCID: PMC10574378 DOI: 10.3390/nu15194268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
Little is known about the role of post-exercise protein intake on post-exercise glycemia. Secondary analyses were conducted to evaluate the role of post-exercise protein intake on post-exercise glycemia using data from an exercise pilot study. Adults with T1D (n = 11), with an average age of 33.0 ± 11.4 years and BMI of 25.1 ± 3.4, participated in isoenergetic sessions of high-intensity interval training (HIIT) or moderate-intensity continuous training (MICT). Participants completed food records on the days of exercise and provided continuous glucose monitoring data throughout the study, from which time in range (TIR, 70-180 mg/dL), time above range (TAR, >180 mg/dL), and time below range (TBR, <70 mg/dL) were calculated from exercise cessation until the following morning. Mixed effects regression models, adjusted for carbohydrate intake, diabetes duration, and lean mass, assessed the relationship between post-exercise protein intake on TIR, TAR, and TBR following exercise. No association was observed between protein intake and TIR, TAR, or TBR (p-values ≥ 0.07); however, a borderline significant reduction of -1.9% (95% CI: -3.9%, 0.0%; p = 0.05) TBR per 20 g protein was observed following MICT in analyses stratified by exercise mode. Increasing post-exercise protein intake may be a promising strategy to mitigate the risk of hypoglycemia following MICT.
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Affiliation(s)
- Franklin R. Muntis
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; (F.R.M.); (S.R.S.)
| | - Elizabeth J. Mayer-Davis
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; (F.R.M.); (S.R.S.)
- Department of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Saame R. Shaikh
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; (F.R.M.); (S.R.S.)
| | - Jamie Crandell
- School of Nursing, University of North Carolina, Chapel Hill, NC 27599, USA;
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Abbie E. Smith-Ryan
- Department of Exercise & Sports Science, University of North Carolina, Chapel Hill, NC 27599, USA;
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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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Yardley JE. Exercise and Diabetes: A Moving Target? Can J Diabetes 2023; 47:115-116. [PMID: 36858716 DOI: 10.1016/j.jcjd.2023.01.005] [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] [Received: 01/15/2023] [Accepted: 01/16/2023] [Indexed: 01/22/2023]
Affiliation(s)
- Jane E Yardley
- Augustana Faculty, University of Alberta, Camrose, Alberta, Canada.
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