Control Systems Engineering for Weight Loss Maintenance
Start Date
2/26/2024
Completion Date
12/31/2027
Summary
This project capitalizes on principles of control systems engineering to build a dynamical model that predicts weight change during weight loss maintenance using behavioral, psychosocial, and environmental indicators evaluated in a system identification experiment. A 6-month behavioral obesity treatment will be administered to produce weight loss. Participants losing at least 3% of initial body weight will be followed for an additional 12 months via daily smartphone surveys that incorporates passive sensing to objectively monitor key behaviors. Survey data pertaining to behavioral, psychosocial, and environmental indicators will be used to develop a controller algorithm that can predict when an individual is entering a heightened period of risk for regain and why risk is elevated. Interventions targeting key risk indicators will be randomly administered during the system ID experiment. Survey and passive sensing data documenting the effects of the interventions will likewise drive development of the controller algorithm, allowing it to determine which interventions are most likely to counter risk of regain.
Eligibility Criteria
Age Range: 18 years to 70 years
Interventions
Intervention Targeting Stress and Emotion Regulation
Intervention Targeting Motivation and Self-efficacy for Weight Management
Intervention for Normalization of Eating
Intervention Targeting Physical Activity and Sleep
Conditions
Locations
Miriam Hospital Weight Control and Diabetes Resarch Center
Providence, Rhode Island 02903
United States