Department of Mathematical Sciences, United States Military Academy, West Point, NY, 10996, USA.
Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Curr Diab Rep. 2019 Aug 31;19(10):93. doi: 10.1007/s11892-019-1207-5.
Validated thermodynamic energy balance models that predict weight change are ever more in use today. Delivery of model predictions using web-based applets and/or smart phones has transformed these models into viable clinical tools. Here, we provide the general framework for thermodynamic energy balance model derivation and highlight differences between thermodynamic energy balance models using four representatives.
Energy balance models have been used to successfully improve dietary adherence, estimate the magnitude of food waste, and predict dropout from clinical weight loss trials. They are also being used to generate hypotheses in nutrition experiments. Applications of thermodynamic energy balance weight change prediction models range from clinical applications to modify behavior to deriving epidemiological conclusions. Novel future applications involve using these models to design experiments and provide support for treatment recommendations.
如今，能够预测体重变化的经过验证的热力学能量平衡模型被越来越多地使用。通过基于网络的小程序和/或智能手机来提供模型预测，已经将这些模型转变为可行的临床工具。在这里，我们提供了热力学能量平衡模型推导的一般框架，并通过四个代表模型突出了它们之间的差异。
能量平衡模型已被用于成功提高饮食依从性、估计食物浪费的程度，并预测临床减肥试验的脱落率。它们也被用于在营养实验中生成假设。热力学能量平衡体重变化预测模型的应用范围从改变行为的临床应用到推导出流行病学结论。未来的新应用包括使用这些模型来设计实验并为治疗建议提供支持。
