Literature DB >> 33259257

More Time in Glucose Range During Exercise Days than Sedentary Days in Adults Living with Type 1 Diabetes.

Michael C Riddell1, Zoey Li2, Roy W Beck2, Robin L Gal2, Peter G Jacobs3, Jessica R Castle3, Melanie B Gillingham3, Mark Clements4, Susana R Patton5, Eyal Dassau6, Francis J Doyle Iii6, Corby K Martin7, Peter Calhoun2, Michael R Rickels8.   

Abstract

Objective: This study analysis was designed to examine the 24-h effects of exercise on glycemic control as measured by continuous glucose monitoring (CGM).
Methods: Individuals with type 1 diabetes (ages: 15-68 years; hemoglobin A1c: 7.5% ± 1.5% [mean ± standard deviation (SD)]) were randomly assigned to complete twice-weekly aerobic, high-intensity interval, or resistance-based exercise sessions in addition to their personal exercise sessions for a period of 4 weeks. Exercise was tracked with wearables and glucose concentrations assessed using CGM. An exercise day was defined as a 24-h period after the end of exercise, while a sedentary day was defined as any 24-h period with no recorded exercise ≥10 min long. Sedentary days start at least 24 h after the end of exercise.
Results: Mean glucose was lower (150 ± 45 vs. 166 ± 49 mg/dL, P = 0.01), % time in range [70-180 mg/dL] higher (62% ± 23% vs. 56% ± 25%, P = 0.03), % time >180 mg/dL lower (28% ± 23% vs. 37% ± 26%, P = 0.01), and % time <70 mg/dL higher (9.3% ± 11.0% vs. 7.1% ± 9.1%, P = 0.04) on exercise days compared with sedentary days. Glucose variability and % time <54 mg/dL did not differ significantly between exercise and sedentary days. No significant differences in glucose control by exercise type were observed.
Conclusion: Participants had lower 24-h mean glucose levels and a greater time in range on exercise days compared with sedentary days, with mode of exercise affecting glycemia similarly. In summary, this study offers data supporting frequency of exercise as a method of facilitating glucose control but does not suggest an effect for mode of exercise.

Entities:  

Keywords:  Continuous glucose monitoring; Exercise; Time in range; Type 1 diabetes; hyperglycemia; hypoglycemia; physical activity

Mesh:

Substances:

Year:  2021        PMID: 33259257      PMCID: PMC8080930          DOI: 10.1089/dia.2020.0495

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  4 in total

Review 1.  Advancements and future directions in the teamwork, targets, technology, and tight control-the 4T study: improving clinical outcomes in newly diagnosed pediatric type 1 diabetes.

Authors:  Dessi P Zaharieva; Franziska K Bishop; David M Maahs
Journal:  Curr Opin Pediatr       Date:  2022-08-01       Impact factor: 2.893

2.  Quantifying the impact of physical activity on future glucose trends using machine learning.

Authors:  Nichole S Tyler; Clara Mosquera-Lopez; Gavin M Young; Joseph El Youssef; Jessica R Castle; Peter G Jacobs
Journal:  iScience       Date:  2022-02-08

3.  Prevalence of nocturnal hypoglycemia in free-living conditions in adults with type 1 diabetes: What is the impact of daily physical activity?

Authors:  Joséphine Molveau; Rémi Rabasa-Lhoret; Étienne Myette-Côté; Virginie Messier; Corinne Suppère; Kathryn J Potter; Elsa Heyman; Sémah Tagougui
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-27       Impact factor: 6.055

4.  Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study.

Authors:  Stuart A Weinzimer; Lisa M Fucito; Garrett I Ash; Stephanie Griggs; Laura M Nally; Matthew Stults-Kolehmainen; Sangchoon Jeon; Cynthia Brandt; Barbara I Gulanski; Elias K Spanakis; Julien S Baker; Robin Whittemore
Journal:  JMIR Diabetes       Date:  2021-07-08
  4 in total

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