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Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study

Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study

We also examine the characteristics of participants whose sleep behaviors deviate from typical sleep patterns and make the analytic pipelines publicly available—through an open-source R package—to support the implementation of Fitbit sleep data processing for clinical and research use. A retrospective observational longitudinal study using secondary data analysis was conducted to implement the algorithms for preprocessing Fitbit sleep data.

Hiral Master, Jeffrey Annis, Jack H Ching, Karla Gleichauf, Lide Han, Peyton Coleman, Kelsie M Full, Neil Zheng, Douglas Ruderfer, John Hernandez, Logan D Schneider, Evan L Brittain

J Med Internet Res 2025;27:e71718