Fitbit Physical Activity and Sleep Data in the All of Us Research Program: Data Exploration and Processing...

Area of Science:

• Digital health
• Wearable technology in research
• Population health studies

Background:

• The All of Us Research Program aims to collect health data from over 1 million diverse participants.
• Fitbit devices offer a rich source of data for physical activity and sleep research.
• Characterizing Fitbit data is crucial for its effective utilization in large-scale health studies.

Purpose of the Study:

• To characterize Fitbit device data from the All of Us Research Program cohort version 8 (v8) data release.
• To assess the quality, completeness, and demographic representation of Fitbit data for physical activity and sleep research.
• To provide researchers with essential insights for utilizing this unique dataset.

Main Methods:

• Analysis of Fitbit data from Days 15-21 post-consent in the All of Us v8 dataset.
• Quality control measures implemented to ensure data reliability.
• Examination of demographic characteristics, wear days, and wear time using heart rate as a proxy.

Main Results:

• The cohort included 30,445 participants with 160,487 person-days of physical activity and/or sleep data.
• Nearly all participants (99%) provided both physical activity and sleep data.
• Average wear time was approximately 21 hours and 50 minutes per day, with Fitbit Charge series being the most common device.

Conclusions:

• Researchers should consider factors like consent dates, proprietary algorithms, and valid day methodologies when using All of Us Fitbit data.
• Understanding device versions and population representation is key for accurate interpretation.
• The study provides a foundational characterization to guide the use of Fitbit data in health research.