Hypoglycemia risk with physical activity in type 1 diabetes: a data-driven approach.
| Autor: | Prasanna S; Department of Bioengineering, Rice University, Houston, TX, United States., Barua S; Department of Electrical and Computer Engineering, Rice University, Houston, TX, United States.; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY, United States., Siller AF; Department of Pediatrics, Diabetes, and Endocrinology, Baylor College of Medicine, Houston, TX, United States., Johnson JJ; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States., Sabharwal A; Department of Electrical and Computer Engineering, Rice University, Houston, TX, United States., DeSalvo DJ; Department of Pediatrics, Diabetes, and Endocrinology, Baylor College of Medicine, Houston, TX, United States. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in digital health [Front Digit Health] 2023 May 19; Vol. 5, pp. 1142021. Date of Electronic Publication: 2023 May 19 (Print Publication: 2023). |
| DOI: | 10.3389/fdgth.2023.1142021 |
| Abstrakt: | Physical activity (PA) provides numerous health benefits for individuals with type 1 diabetes (T1D). However, the threat of exercise-induced hypoglycemia may impede the desire for regular PA. Therefore, we aimed to study the association between three common types of PA (walking, running, and cycling) and hypoglycemia risk in 50 individuals with T1D. Real-world data, including PA duration and intensity, continuous glucose monitor (CGM) values, and insulin doses, were available from the Tidepool Big Data Donation Project. Participants' mean (SD) age was 38.0 (13.1) years with a mean (SD) diabetes duration of 21.4 (12.9) years and an average of 26.2 weeks of CGM data available. We developed a linear regression model for each of the three PA types to predict the average glucose deviation from 70 mg/dl for the 2 h after the start of PA. This is essentially a measure of hypoglycemia risk, for which we used the following predictors: PA duration (mins) and intensity (calories burned), 2-hour pre-exercise area under the glucose curve (adjusted AUC), the glucose value at the beginning of PA, and total bolus insulin (units) within 2 h before PA. Our models indicated that glucose value at the start of exercise and pre-exercise glucose adjusted AUC ( p < 0.001 for all three activities) were the most significant predictors of hypoglycemia. In addition, the duration and intensity of PA and 2-hour bolus insulin were weakly associated with hypoglycemia for walking, running, and cycling. These findings may provide individuals with T1D with a data-driven approach to preparing for PA that minimizes hypoglycemia risk. Competing Interests: DDS is an independent consultant for Dexcom, Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (© 2023 Prasanna, Barua, Siller, Johnson, Sabharwal and DeSalvo.) |
| Databáze: | MEDLINE |
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