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Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations
James Weatherall1, Yurek Paprocki1, Theresa M Meyer2
1Novo Nordisk Inc, Plainsboro, NJ, United States.
JMIR Mhealth and Uhealth
|June 7, 2018
Summary
Wearable devices like Fitbit show positive associations with patient-reported outcomes for physical activity and sleep in type 2 diabetes mellitus (T2DM). Objective data from wearables may enhance T2DM patient care.
Area of Science:
- Endocrinology
- Digital Health
- Patient-Reported Outcomes
Background:
- Limited research exists on correlating patient-reported outcomes with data from wearable devices.
- Wearable technology offers a potential avenue for objective health data collection.
Purpose of the Study:
- To determine associations between Fitbit Charge HR data and patient-reported outcomes in type 2 diabetes mellitus (T2DM).
- To assess the direction and magnitude of correlations for sleep patterns and physical activity.
Main Methods:
- Pilot study with 86 adults diagnosed with T2DM.
- 14-day continuous monitoring with Fitbit Charge HR.
- Internet-based surveys at 3 time points assessing exercise days and sleep problems.
Main Results:
- Physical activity (steps walked) showed a strong correlation with reported exercise days (r=.60, P<.001).
- Sleep patterns (minutes asleep) had a weaker correlation with reported sleep problems (r=.28, P=.02).
- Oral T2DM medication use correlated with steps taken (r=.35, P=.001).
Conclusions:
- Positive associations were found between wearable data and patient-reported outcomes for both physical activity and sleep.
- Objective data from wearables could potentially improve T2DM management and patient outcomes.
- Physical activity data from wearables demonstrated a stronger correlation than sleep data.
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