A dynamical systems model for understanding behavioral interventions for weight loss

Authors:
J.-Emeterio Navarro-Barrientos;Daniel E. Rivera;Linda M. Collins
Affiliations:
Control Systems Engineering Laboratory, School of Mechanical, Aerospace, Chemical and Materials Engineering, Arizona State University, Tempe, AZ;Control Systems Engineering Laboratory, School of Mechanical, Aerospace, Chemical and Materials Engineering, Arizona State University, Tempe, AZ;The Methodology Center and Department of Human Development and Family Studies, Penn State University, State College, PA
Venue:
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Year:
2010

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Abstract

We propose a dynamical systems model that captures the daily fluctuations of human weight change, incorporating both physiological and psychological factors. The model consists of an energy balance integrated with a mechanistic behavioral model inspired by the Theory of Planned Behavior (TPB); the latter describes how important variables in a behavioral intervention can influence healthy eating habits and increased physical activity over time. The model can be used to inform behavioral scientists in the design of optimized interventions for weight loss and body composition change.