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Dynamic interplay among homeostatic, hedonic, and cognitive feedback circuits regulating body weight

Author

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  • Hall, K.D.
  • Hammond, R.A.
  • Rahmandad, H.

Abstract

Obesity is associatedwith a prolonged imbalance between energy intake and expenditure, both ofwhich are regulated by multiple feedback processes within and across individuals. These processes constitute 3 hierarchical control systems-homeostatic, hedonic, and cognitive-with extensive interaction among them. Understanding complex eating behavior requires consideration of all 3 systems and their interactions. Existing models of these processes are widely scattered, with relatively few attempts to integrate across mechanisms. We briefly review available empirical evidence and dynamicmodels, discussing challenges and potential for better integration. We conclude that developing richer models of dynamic interplay among systems should be a priority in the future study of obesity and that systems science modeling offers the potential to aid in this goal.

Suggested Citation

  • Hall, K.D. & Hammond, R.A. & Rahmandad, H., 2014. "Dynamic interplay among homeostatic, hedonic, and cognitive feedback circuits regulating body weight," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1169-1175.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2014.301931_6
    DOI: 10.2105/AJPH.2014.301931
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    Cited by:

    1. MacEwan, Joanna P. & Smith, Aaron & Alston, Julian M., 2016. "The Supplemental Nutrition Assistance Program, energy balance, and weight gain," Food Policy, Elsevier, vol. 61(C), pages 103-120.
    2. Datis Khajeheian & Amir Mohammad Colabi & Nordiana Binti Ahmad Kharman Shah & Che Wan Jasimah Bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi, 2018. "Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method," IJERPH, MDPI, vol. 15(7), pages 1-22, June.
    3. Rahmatollah Beheshti & Jessica C Jones-Smith & Takeru Igusa, 2017. "Taking dietary habits into account: A computational method for modeling food choices that goes beyond price," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-13, May.

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