Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocol.
Stephanie P GoldsteinAdam HooverE Whitney EvansJ Graham ThomasPublished in: Digital health (2021)
This protocol will be the first multi-method study of dietary lapses in BOT. Upon completion, this will be one of the largest published studies of passive eating detection and EMA-reported lapse. The integration of EMA and passive sensing to characterize eating provides contextually rich data that will ultimately inform a nuanced understanding of lapse behavior and enable novel interventions.Trial registration: Registered clinical trial NCT03739151; URL: https://clinicaltrials.gov/ct2/show/NCT03739151.
Keyphrases
- study protocol
- clinical trial
- physical activity
- randomized controlled trial
- weight loss
- phase ii
- loop mediated isothermal amplification
- phase iii
- open label
- real time pcr
- label free
- image quality
- big data
- electronic health record
- human health
- contrast enhanced
- magnetic resonance imaging
- machine learning
- dual energy
- deep learning
- case control
- pet ct