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Effect of Exercise and Meals on Continuous Glucose Monitor Data in Healthy Individuals Without Diabetes.

Citation
DuBose, S. N., et al. “Effect Of Exercise And Meals On Continuous Glucose Monitor Data In Healthy Individuals Without Diabetes.”. Journal Of Diabetes Science And Technology, p. 1932296820905904.
Center Yale University
Author Stephanie N DuBose, Zoey Li, Jennifer L Sherr, Roy W Beck, William Tamborlane V, Viral N Shah
Keywords CGM sensor wear, Exercise, glucose, meal, nondiabetic
Abstract

OBJECTIVE: The aim of these analyses was to characterize the effect of exercise and meals on glucose concentrations in healthy individuals without diabetes.

METHODS: Healthy individuals without diabetes (age ≥6 years) with nonobese body mass index were enrolled at 12 centers within the T1D Exchange Clinic Network. Participants wore a blinded Dexcom G6 for up to ten days. Throughout this sensor wear, participants completed a daily log indicating times and type of any exercise and start times of meals and snacks.

RESULTS: A total of 153 participants (age 7-80 years) were included in the analyses. Exercise induced a mean change of -15 ± 18 mg/dL from baseline to nadir sensor glucose level. Mean nadir glucose concentration during nights following exercise days was 82 ± 11 mg/dL compared with 85 ± 11 mg/dL during nights following nonexercise days ( = .05). Mean change from baseline to nadir sensor glucose level during aerobic exercise was -15 ± 18 and -9 ± 12 mg/dL for resistance exercise ( = .25). Overnight nadir glucose during nights following aerobic and resistance exercise was 83 ± 12 and 76 ± 14 mg/dL, respectively ( = .25). Overall mean peak postprandial glucose per participant increased from 93 ± 10 mg/dL premeal to 130 ± 13 mg/dL with an average time to peak glucose per participant of 97 ± 31 minutes. Consumption of alcohol on the day prior did not impact overnight mean or nadir glucose.

CONCLUSION: The present analysis provides important data characterizing the effect of exercise and meals on glucose in healthy individuals without diabetes. These data provide a repository to which future therapies, whether pharmacologic or technologic, can be compared.

Year of Publication
2020
Journal
Journal of diabetes science and technology
Number of Pages
1932296820905904
Date Published
02/2020
ISSN Number
1932-2968
DOI
10.1177/1932296820905904
Alternate Journal
J Diabetes Sci Technol
PMID
32064911
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