A dynamical systems model for understanding behavioral interventions for weight loss

J. Emeterio Navarro-Barrientos, Daniel Rivera, Linda M. Collins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAdvances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
Pages170-179
Number of pages10
DOIs
StatePublished - Dec 24 2010
Event3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 - Bethesda, MD, United States
Duration: Mar 30 2010Mar 31 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6007 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
CountryUnited States
CityBethesda, MD
Period3/30/103/31/10

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Keywords

  • Behavioral interventions
  • Dynamical systems
  • Energy balance
  • Theory of planned behavior
  • Weight loss

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Navarro-Barrientos, J. E., Rivera, D., & Collins, L. M. (2010). A dynamical systems model for understanding behavioral interventions for weight loss. In Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings (pp. 170-179). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS). https://doi.org/10.1007/978-3-642-12079-4_23