Association between Intensity Levels of Physical Activity and Glucose Variability among Children and Adolescents with Type 1 Diabetes

Jason R. Jaggers (), Kristi M. King, Timothy McKay, Ryan J. Dyess, Bradly J. Thrasher and Kupper A. Wintergerst
Additional contact information
Jason R. Jaggers: Wendy Novak Diabetes Center, Division of Pediatric Endocrinology, School of Medicine, University of Louisville, Louisville, KY 40202, USA
Kristi M. King: Wendy Novak Diabetes Center, Division of Pediatric Endocrinology, School of Medicine, University of Louisville, Louisville, KY 40202, USA
Timothy McKay: Department of Kinesiology and Health Sciences, Georgetown College, Georgetown, KY 40324, USA
Ryan J. Dyess: Wendy Novak Diabetes Center, Division of Pediatric Endocrinology, School of Medicine, University of Louisville, Louisville, KY 40202, USA
Bradly J. Thrasher: Wendy Novak Diabetes Center, Division of Pediatric Endocrinology, School of Medicine, University of Louisville, Louisville, KY 40202, USA
Kupper A. Wintergerst: Wendy Novak Diabetes Center, Division of Pediatric Endocrinology, School of Medicine, University of Louisville, Louisville, KY 40202, USA

IJERPH, 2023, vol. 20, issue 2, 1-9

Abstract: Studies would indicate a reduction in hemoglobin A1c levels following moderate and/or vigorous physical activity (PA) for people managing diabetes. However, prior investigations rarely looked at glucose variability in an adolescent population. Purpose: The purpose of this investigation was to test the relationship between physical activity intensity levels and glucose variability in a sample of adolescents with type 1 diabetes mellitus, and if the amount of time accumulated for each intensity level is predictive of changes in glucose variability. Methods: Glucose variability was determined using continuous glucose monitor data and physical activity intensity time was retrieved through Fitabase ® . Both glucose and physical activity data were collected over a two-week timeframe. Data analysis was completed using Pearson’s correlation and a simple linear regression with a p -value of 0.05 to determine significance. Results: A significant inverse relationship was observed ( p = 0.04) between glucose variability and average minutes of daily moderate-intensity activity (r = −0.59), as well as moderate and vigorous physical activity (MVPA) combined (r = −0.86; p = 0.03). A simple linear regression indicated that only MVPA was a significant predictor of glucose variability (β = −0.12; 95% CI: −0.23–−0.01, p = 0.03). Conclusion: These data demonstrated that the total amount of daily physical activity is important when properly managing type 1 diabetes mellitus, but time spent in MVPA over two weeks may have an inverse relationship with glucose variability in children and adolescents over a span of two weeks.

Keywords: clinical exercise; glycaemia; accelerometer; sport medicine; glycemic variability (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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