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Comparing Real-Time Self-Tracking and Device-Recorded Exercise Data in Subjects with Type 1 Diabetes
Danielle Groat1,2, Hyo Jung Kwon2, Maria Adela Grando2,3
1Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
Patient-reported exercise tracking using a smartphone app closely matches wristband heart rate monitor data for frequency and duration in type 1 diabetes (T1D) management. Perceived exercise intensity can inform glycemic impact for self-care.
Area of Science:
- Endocrinology and Metabolism
- Digital Health and Wearable Technology
- Exercise Physiology
Background:
- Type 1 diabetes (T1D) management requires insulin therapy, medical nutrition therapy, and physical activity.
- Limited real-world studies characterize patient-reported data from logs, activity trackers, and medical devices during exercise.
- Understanding exercise's glycemic impact in T1D necessitates robust data collection methods.
Purpose of the Study:
- To compare data from continuous glucose monitors (CGM), wristband heart rate monitors (WHRM), and a smartphone application (iDECIDE) for tracking exercise behaviors.
- To evaluate the rate of change in glucose levels during exercise as recorded by CGM.
- To assess the concordance between self-reported exercise data and objective monitoring in T1D patients.
Main Methods:
- Participants with T1D on insulin pump therapy tracked exercise using the iDECIDE smartphone app for one month.
- WHRM and CGM devices recorded real-time physiological and glucose data.
- Exercise behaviors (frequency, duration, intensity) and glucose changes were compared between the app, WHRM, and CGM data.
Main Results:
- Tracking exercise frequency and duration with the iDECIDE app showed high agreement with WHRM data (p=0.60 and p=0.45, respectively).
- Concordance for exercise intensity between the app and WHRM was low (Cohen's kappa = 0.2).
- The mean rate of glucose change during exercise was -0.27 mg/(dL*min) and did not significantly differ between data sources or perceived intensity (p=0.21).
Conclusions:
- Patient-reported exercise data from a smartphone app can reliably reflect exercise frequency and duration compared to WHRM.
- Perceived exercise intensity by patients may serve as a practical surrogate for WHRM-tracked intensity in assessing glycemic impact.
- This study highlights the potential of integrating heterogeneous data sources for comprehensive T1D self-management during physical activity.
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