Preliminary evidence suggests that digital self-monitoring tools may support engagement and outcomes in behavioral weight loss (BWL) programs, yet it remains unclear how sharing these data with others influences long-term weight loss. In this project, investigators are evaluating a remotely delivered, 24-month BWL intervention for adults aged 18 to 70 with overweight or obesity. Participants will use a wireless body weight scale, wearable activity sensor, and dietary intake application, and will receive individual and group counseling along with structured text-based communication.

The impact of different data-sharing partnerships will be examined using a 2×2×2 factorial randomized design, testing whether sharing self-monitoring data with a behavioral coach, peer group, and or friend or family member affects outcomes. The primary outcome is weight loss at 24 months, with additional analyses examining variability in response across participants and contexts.

Findings from this study will clarify whether and under what conditions digital data sharing enhances long-term weight loss in BWL programs and will inform the design and scalability of future technology-enabled interventions.