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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ajzen, I., Madden, T.J.: Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. J. Exp. Soc. Psychol. 22, 453–474 (1986)
Baranowski, T., Cullen, K.W., Nicklas, T., Thompson, D., Baranowski, J.: Are current health behavioral change models helpful in guiding prevention of weight gain efforts? Obesity Research 11, 23S–43S (2003)
Blanchard, C.M., Fisher, J., Sparling, P.B., Shanks, T.H., Nehl, E., Rhodes, R.E., et al.: Understanding adherence to 5 serving of fruits and vegetables per day: A theory of planned behavior perspective. J. Nutr. Edu. Behav. 41(1), 3–10 (2009)
Bollen, K.A.: Structural equations with latent variables. Series in probability and mathematical statistics. Wiley, Chichester (1989)
Symons Downs, D., Hausenblas, H.A.: The theories of reasoned action and planned behavior applied to exercise: A meta-analytic update. J. Phys. Act. Health 2, 76–97 (2005)
FAO/WHO/UNU Expert Consultation, Human energy requirements, Food and Nutrition Technical Report Series 1, FAO, Rome (October 2001)
Fishbein, M., Ajzen, I.: Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley, Reading (1975)
Forbes, G.B.: Lean body mass-body fat interrelationships in humans. Nutr. Rev. 45, 225–231 (1987)
Garrow, J.S.: Energy balance and obesity in man, 2nd edn. Elsevier/North-Holland Biomedica Press, Amsterdam (1978)
Hall, K.D.: Computational model of in vivo human energy metabolism during semistarvation and refeeding. Am. J. Physiol. Endocrinol Metab. 291, E23–E37 (2006)
Hall, K.D., Jordan, P.N.: Modeling weight-loss maintenance to help prevent body weight regain. Am. J. Clin. Nutr. 88, 1495–1503 (2008)
Hall, K.D., Chow, C.: A simple dynamic model of body weight and composition change. personal communication
Keim, N.L., Blanton, C.A., Kretsch, M.J.: America’s obesity epidemic: Measuring physical activity to promote an active lifestyle. J. Am. Diet. Assoc. 104(9), 1398–1409 (2004)
Merrill, A.L., Watt, B.K.: Energy value of foods - basis and derivation. In: Agriculture Handbook. U.S. Department of Agriculture, vol. 74 (1973)
Ljung, L.: System Identification: Theory for the User. Prentice Hall Information and System Sciences Series. Prentice Hall, Englewood Cliffs (1987)
Raykov, T., Marcoulides, G.A.: A First Course in Structural Equation Modeling, 2nd edn. Erlbaum, Mahwah (2006)
Rivera, D.E., Pew, M.D., Collins, L.M.: Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction. Drug and Alcohol Dependence 88, S31–S40 (2007)
Schwartz, J.D., Wang, W., Rivera, D.E.: Optimal tuning of process control-based decision policies for inventory management in supply chains. Automatica 42, 1311–1320 (2006)
Trumbo, P., Schlicker, S., Yates, A.A., Poos, M.: Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids. J. Am. Diet Assoc. 102(11), 1621–1630 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Navarro-Barrientos, J.E., Rivera, D.E., Collins, L.M. (2010). A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss. In: Chai, SK., Salerno, J.J., Mabry, P.L. (eds) Advances in Social Computing. SBP 2010. Lecture Notes in Computer Science, vol 6007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12079-4_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-12079-4_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12078-7
Online ISBN: 978-3-642-12079-4
eBook Packages: Computer ScienceComputer Science (R0)