239-OR: Physical Activity, Hypoglycemia, and Type 1 Diabetes: A Data-Driven Approach

Abstract

Physical activity (PA) provides numerous health benefits for individuals with T1D. However, the threat of exercise-induced hypoglycemia may impede the desire for regular PA. 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 characteristics of PA, CGM values, and insulin doses were available from the Tidepool Big Data Donation Project. Participants were aged 38.0 ± 13.1 yrs with 21.4 ± 12.9 yr duration of diabetes and avg 26.2 weeks of CGM data available. We built a linear regression model for each of the three PA types to predict the probability of level 1 hypoglycemia (<70 mg/dL) during the 2 hours after start of PA using the following predictors: PA duration (mins) , PA intensity (calories burned) , 2-hr pre-exercise glucose AUC, glucose value at start of PA, and total bolus insulin within 2 hrs before PA. Regression results are provided in Table 1. Our models indicated that glucose value at the start of exercise (p<0.0for all three activities) and pre-exercise glucose AUC (p<0.0for walking and cycling) were the most significant predictors of hypoglycemia. Duration and intensity of PA and 2-hr bolus insulin were weakly associated with hypoglycemia for certain exercises. These findings may provide T1D individuals with a data-driven approach in preparing for PA that minimizes hypoglycemia risk. Disclosure S.Prasanna: None. S.Barua: None. J.J.Johnson: None. A.F.Siller: None. A.Sabharwal: None. D.Desalvo: Consultant; Dexcom, Inc., Insulet Corporation, Research Support; Insulet Corporation. Funding National Science Foundation (1648451)