Sam N Scott1, Matt Cocks1, Rob C Andrews2, Parth Narendran3, Tejpal S Purewal4, Daniel J Cuthbertson5, Anton J M Wagenmakers1, Sam O Shepherd1. 1. Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom. 2. University of Exeter Medical School, Royal Devon and Exeter Hospital Wonford, Exeter, United Kingdom. 3. Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham Edgbaston, Birmingham, United Kingdom. 4. Department of Diabetes and Endocrinology, Royal Liverpool University Hospital, Liverpool, United Kingdom. 5. Obesity and Endocrinology Research Group, University of Liverpool, Liverpool, United Kingdom.
Abstract
Aims: To compare the effect of a bout of high-intensity interval training (HIT) with a bout of moderate-intensity continuous training (MICT) on glucose concentrations over the subsequent 24-hour period. Methods: Fourteen people with type 1 diabetes [T1D (duration of T1D, 8.2 ± 1.4 years)], all on a basal-bolus regimen, completed a randomized, counterbalanced, crossover study. Continuous glucose monitoring was used to assess glycemic control after a single bout of HIT (six 1-minute intervals) and 30 minutes of MICT on separate days compared with a nonexercise control day (CON). Exercise was undertaken after an overnight fast with omission of short-acting insulin. Capillary blood glucose samples were recorded before and after exercise to assess the acute changes in glycemia during HIT and MICT. Results: There was no difference in the incidence of or percentage of time spent in hypoglycemia, hyperglycemia, or target glucose range over the 24-hour and nocturnal period (12:00 am to 6:00 am) between CON, HIT, and MICT (P > 0.05). Blood glucose concentrations were not significantly (P = 0.49) different from pre-exercise to post-exercise, with HIT (0.39 ± 0.42 mmol/L) or MICT (-0.39 ± 0.66 mmol/L). There was no difference between exercise modes (P = 1.00). Conclusions: HIT or 30 minutes of MICT can be carried out after an overnight fast with no increased risk of hypoglycemia or hyperglycemia. If the pre-exercise glucose concentration is 7 to 14 mmol/L, no additional carbohydrate ingestion is necessary to undertake these exercises. Because HIT is a time-efficient form of exercise, the efficacy and safety of long-term HIT should now be explored.
RCT Entities:
Aims: To compare the effect of a bout of high-intensity interval training (HIT) with a bout of moderate-intensity continuous training (MICT) on glucose concentrations over the subsequent 24-hour period. Methods: Fourteen people with type 1 diabetes [T1D (duration of T1D, 8.2 ± 1.4 years)], all on a basal-bolus regimen, completed a randomized, counterbalanced, crossover study. Continuous glucose monitoring was used to assess glycemic control after a single bout of HIT (six 1-minute intervals) and 30 minutes of MICT on separate days compared with a nonexercise control day (CON). Exercise was undertaken after an overnight fast with omission of short-acting insulin. Capillary blood glucose samples were recorded before and after exercise to assess the acute changes in glycemia during HIT and MICT. Results: There was no difference in the incidence of or percentage of time spent in hypoglycemia, hyperglycemia, or target glucose range over the 24-hour and nocturnal period (12:00 am to 6:00 am) between CON, HIT, and MICT (P > 0.05). Blood glucose concentrations were not significantly (P = 0.49) different from pre-exercise to post-exercise, with HIT (0.39 ± 0.42 mmol/L) or MICT (-0.39 ± 0.66 mmol/L). There was no difference between exercise modes (P = 1.00). Conclusions: HIT or 30 minutes of MICT can be carried out after an overnight fast with no increased risk of hypoglycemia or hyperglycemia. If the pre-exercise glucose concentration is 7 to 14 mmol/L, no additional carbohydrate ingestion is necessary to undertake these exercises. Because HIT is a time-efficient form of exercise, the efficacy and safety of long-term HIT should now be explored.
Authors: Gabriela de Oliveira Teles; Carini Silva da Silva; Vinicius Ramos Rezende; Ana Cristina Silva Rebelo Journal: Int J Environ Res Public Health Date: 2022-06-09 Impact factor: 4.614
Authors: Sam N Scott; Lorraine Anderson; James P Morton; Anton J M Wagenmakers; Michael C Riddell Journal: Nutrients Date: 2019-05-07 Impact factor: 5.717
Authors: Othmar Moser; Michael C Riddell; Max L Eckstein; Peter Adolfsson; Rémi Rabasa-Lhoret; Louisa van den Boom; Pieter Gillard; Kirsten Nørgaard; Nick S Oliver; Dessi P Zaharieva; Tadej Battelino; Carine de Beaufort; Richard M Bergenstal; Bruce Buckingham; Eda Cengiz; Asma Deeb; Tim Heise; Simon Heller; Aaron J Kowalski; Lalantha Leelarathna; Chantal Mathieu; Christoph Stettler; Martin Tauschmann; Hood Thabit; Emma G Wilmot; Harald Sourij; Carmel E Smart; Peter G Jacobs; Richard M Bracken; Julia K Mader Journal: Pediatr Diabetes Date: 2020-10-13 Impact factor: 4.866