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Predictive Mathematical Models of Weight Loss.

Diana M Thomas1, Michael Scioletti2, Steven B Heymsfield3

  • 1Department of Mathematical Sciences, United States Military Academy, West Point, NY, 10996, USA. diana.thomas@westpoint.edu.

Current Diabetes Reports
|September 2, 2019
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Summary

Thermodynamic energy balance models are increasingly used as clinical tools for weight management. These models offer versatile applications, from improving dietary adherence to guiding treatment recommendations.

Keywords:
Thermodynamic energy balance modelsWeight change prediction

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Area of Science:

  • Nutrition science
  • Biomedical engineering
  • Computational biology

Background:

  • Validated thermodynamic energy balance models are increasingly utilized.
  • Web-based applets and smartphones have enhanced the clinical applicability of these models.
  • Energy balance models have demonstrated success in improving dietary adherence and predicting weight loss trial outcomes.

Purpose of the Study:

  • To provide a general framework for the derivation of thermodynamic energy balance models.
  • To highlight the differences between various thermodynamic energy balance models.
  • To showcase the evolving applications of these predictive models in clinical and research settings.

Main Methods:

  • General framework derivation for thermodynamic energy balance models.
  • Comparative analysis of four representative thermodynamic energy balance models.
  • Review of current and novel applications in weight management and nutrition research.

Main Results:

  • Thermodynamic energy balance models are transforming into viable clinical tools.
  • These models have diverse applications including dietary adherence, food waste estimation, and dropout prediction.
  • Future applications include experimental design and treatment recommendation support.

Conclusions:

  • Thermodynamic energy balance models are essential for personalized weight management.
  • The adaptability of these models supports both clinical practice and scientific inquiry.
  • Continued development promises expanded utility in nutrition and health.