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食物摄入量的数学模型。

A mathematical model of food intake.

作者信息

Chudtong Mantana, Gaetano Andrea De

机构信息

Department of Mathematics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.

Center of Excellence in Mathematics, the Commission on Higher Education, Si Ayutthaya Rd., Bangkok 10400, Thailand.

出版信息

Math Biosci Eng. 2021 Jan 15;18(2):1238-1279. doi: 10.3934/mbe.2021067.

DOI:10.3934/mbe.2021067
PMID:33757185
Abstract

The metabolic, hormonal and psychological determinants of the feeding behavior in humans are numerous and complex. A plausible model of the initiation, continuation and cessation of meals taking into account the most relevant such determinants would be very useful in simulating food intake over hours to days, thus providing input into existing models of nutrient absorption and metabolism. In the present work, a meal model is proposed, incorporating stomach distension, glycemic variations, ghrelin dynamics, cultural habits and influences on the initiation and continuation of meals, reflecting a combination of hedonic and appetite components. Given a set of parameter values (portraying a single subject), the timing and size of meals are stochastic. The model parameters are calibrated so as to reflect established medical knowledge on data of food intake from the National Health and Nutrition Examination Survey (NHANES) database during years 2015 and 2016.

摘要

人类进食行为的代谢、激素和心理决定因素众多且复杂。考虑到最相关的此类决定因素,一个关于进餐开始、持续和停止的合理模型对于模拟数小时至数天内的食物摄入量将非常有用,从而为现有的营养吸收和代谢模型提供输入。在本研究中,提出了一个进餐模型,该模型纳入了胃扩张、血糖变化、胃饥饿素动态、文化习惯以及对进餐开始和持续的影响,反映了享乐和食欲成分的组合。给定一组参数值(描绘单个个体),进餐时间和进餐量是随机的。对模型参数进行校准,以反映基于2015年和2016年美国国家健康和营养检查调查(NHANES)数据库中食物摄入量数据的既定医学知识。

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