A dynamical systems model for understanding behavioral interventions for weight loss

J. Emeterio Navarro-Barrientos; Daniel E. Rivera; Linda M. Collins

doi:10.1007/978-3-642-12079-4_23

A dynamical systems model for understanding behavioral interventions for weight loss

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 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 language	English (US)
Title of host publication	Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
Pages	170-179
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-12079-4_23
State	Published - 2010
Event	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 - Bethesda, MD, United States Duration: Mar 30 2010 → Mar 31 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6007 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
Country/Territory	United States
City	Bethesda, MD
Period	3/30/10 → 3/31/10

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-12079-4_23

Cite this

Navarro-Barrientos, J. E., Rivera, D. E., & 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

Navarro-Barrientos, J. Emeterio ; Rivera, Daniel E. ; Collins, Linda M. / A dynamical systems model for understanding behavioral interventions for weight loss. Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. pp. 170-179 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Navarro-Barrientos, JE, Rivera, DE & Collins, LM 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6007 LNCS, pp. 170-179, 3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, United States, 3/30/10. https://doi.org/10.1007/978-3-642-12079-4_23

A dynamical systems model for understanding behavioral interventions for weight loss. / Navarro-Barrientos, J. Emeterio; Rivera, Daniel E.; Collins, Linda M.
Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. p. 170-179 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Navarro-Barrientos JE, Rivera DE, Collins LM. 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. 2010. p. 170-179. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-12079-4_23

A dynamical systems model for understanding behavioral interventions for weight loss

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