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Northwestern Study Maps Five Distinct Overeating Types Using Bodycams and Wearables

Researchers say passive sensor data exposed hidden habits that could guide personalized prompts to curb excess eating.

Overview

  • The peer-reviewed study tracked 60 overweight adults with a bodycam, a digital wristband and a sensor-equipped necklace to capture bites, chewing speed and hand-to-mouth motions.
  • From the recordings, the team identified five patterns: takeaway and large-portion eaters, social overeaters, late‑night snackers, spontaneous snackers and stress‑driven comfort‑food eaters.
  • Authors report that the patterns reflect emotional, behavioral and contextual triggers rather than a simple lack of willpower.
  • The findings were published in the journal npj Digital Medicine by a Northwestern University team that includes Nabil Alshurafa and first author Farzad Shahabi.
  • The typology is presented as a foundation for targeted, technology‑enabled interventions, such as smartwatch nudges for people prone to late‑night snacking.