Literature DB >> 21673826

A dynamical model for describing behavioural interventions for weight loss and body composition change.

J-Emeterio Navarro-Barrientos1, Daniel E Rivera, Linda M Collins.   

Abstract

We present a dynamical model incorporating both physiological and psychological factors that predicts changes in body mass and composition during the course of a behavioral intervention for weight loss. The model consists of a three-compartment energy balance integrated with a mechanistic psychological model inspired by the Theory of Planned Behavior (TPB). The latter describes how important variables in a behavioural intervention can influence healthy eating habits and increased physical activity over time. The novelty of the approach lies in representing the behavioural intervention as a dynamical system, and the integration of the psychological and energy balance models. Two simulation scenarios are presented that illustrate how the model can improve the understanding of how changes in intervention components and participant differences affect outcomes. Consequently, the model can be used to inform behavioural scientists in the design of optimised interventions for weight loss and body composition change.

Entities:  

Year:  2011        PMID: 21673826      PMCID: PMC3111923          DOI: 10.1080/13873954.2010.520409

Source DB:  PubMed          Journal:  Math Comput Model Dyn Syst        ISSN: 1387-3954            Impact factor:   0.945


  22 in total

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6.  A mathematical model of weight change with adaptation.

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7.  Predicting metabolic adaptation, body weight change, and energy intake in humans.

Authors:  Kevin D Hall
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-11-24       Impact factor: 4.310

Review 8.  America's obesity epidemic: measuring physical activity to promote an active lifestyle.

Authors:  Nancy L Keim; Cynthia A Blanton; Mary J Kretsch
Journal:  J Am Diet Assoc       Date:  2004-09

Review 9.  Are current health behavioral change models helpful in guiding prevention of weight gain efforts?

Authors:  Tom Baranowski; Karen W Cullen; Theresa Nicklas; Deborah Thompson; Janice Baranowski
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10.  The dynamics of human body weight change.

Authors:  Carson C Chow; Kevin D Hall
Journal:  PLoS Comput Biol       Date:  2008-03-28       Impact factor: 4.475

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  36 in total

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3.  Development of a dynamic computational model of social cognitive theory.

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5.  Control Engineering Methods for the Design of Robust Behavioral Treatments.

Authors:  Korkut Bekiroglu; Constantino Lagoa; Suzan A Murphy; Stephanie T Lanza
Journal:  IEEE Trans Control Syst Technol       Date:  2016-06-28       Impact factor: 5.485

Review 6.  Transdisciplinary translational behavioral (TDTB) research: opportunities, barriers, and innovations.

Authors:  Susan M Czajkowski; Minda R Lynch; Kara L Hall; Brooke A Stipelman; Lynne Haverkos; Harold Perl; Marcia S Scott; Mariela C Shirley
Journal:  Transl Behav Med       Date:  2016-03       Impact factor: 3.046

7.  Hybrid Model Predictive Control for Optimizing Gestational Weight Gain Behavioral Interventions.

Authors:  Yuwen Dong; Daniel E Rivera; Danielle S Downs; Jennifer S Savage; Diana M Thomas; Linda M Collins
Journal:  Proc Am Control Conf       Date:  2013

8.  Dynamic Treatment Regimes.

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Journal:  Annu Rev Stat Appl       Date:  2014       Impact factor: 5.810

9.  A mathematical model of the effects of resistance exercise-induced muscle hypertrophy on body composition.

Authors:  Marcella Torres; Eric T Trexler; Abbie E Smith-Ryan; Angela Reynolds
Journal:  Eur J Appl Physiol       Date:  2017-12-18       Impact factor: 3.078

10.  The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study.

Authors:  Erin E Brannon; Christopher C Cushing; Christopher J Crick; Tarrah B Mitchell
Journal:  Transl Behav Med       Date:  2016-12       Impact factor: 3.046

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