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A mathematical model of food intake
Mantana Chudtong1,2, Andrea De Gaetano1,3,4
1Department of Mathematics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.
Mathematical Biosciences and Engineering : MBE
|March 24, 2021
Summary
This study presents a novel meal model simulating human feeding behavior by integrating metabolic, hormonal, and psychological factors. The model aids in understanding food intake dynamics for improved nutritional and metabolic research.
Area of Science:
- Physiology
- Behavioral Science
- Computational Biology
Background:
- Human feeding behavior is influenced by complex metabolic, hormonal, and psychological factors.
- Accurate simulation of food intake is crucial for understanding nutrient absorption and metabolism.
- Existing models require enhanced input regarding meal initiation, continuation, and cessation.
Purpose of the Study:
- To develop a comprehensive meal model that simulates human feeding behavior.
- To incorporate key determinants of meal patterns, including physiological and psychological influences.
- To provide a tool for simulating food intake over extended periods.
Main Methods:
- A meal model was developed incorporating stomach distension, glycemic variations, and ghrelin dynamics.
- The model includes cultural habits and influences, reflecting both hedonic and appetite drives.
- Model parameters were calibrated using 2015-2016 National Health and Nutrition Examination Survey (NHANES) data.
Main Results:
- The proposed model simulates the timing and size of meals as stochastic variables.
- Model parameters were adjusted to align with established medical knowledge and NHANES data.
- The model provides a framework for understanding individual feeding patterns.
Conclusions:
- The developed meal model offers a plausible simulation of human feeding behavior.
- This model can serve as valuable input for nutrient absorption and metabolism studies.
- Further research can refine the model for enhanced predictive capabilities in nutritional science.
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