An age structured model for obesity prevalence dynamics in populations

Journal Title: Revista MVZ Cordoba - Year 2010, Vol 15, Issue 2

Abstract

Objective. Modeling the correlation of the development of obesity in a population with age and time and predict the dynamics of the correlation of the development of obesity in a population with age and time under different scenarios in Valencia (Spain). Materials and methods. An age structured mathematical model is used to describe the future dynamics of obesity prevalence for different ages in human population with excess weight. Simulation of the model with parameters estimated using the Health Survey of the Region of Valencia 2000 (4.319 interviews) and Health Survey of the Region of Valencia 2005 (4.012 interviews). The model considers only overweight and obese populations since these subpopulations are the most relevant on obesity health concern. Results. The model allows predicting and studying the prevalence of obesity for each age. Results showed an increasing trend of obesity in the following years in well accordance with the trend observed in several countries. Conclusions. Based on the numerical simulations it is possible to conclude that the age structured mathematical model is suitable to forecast the obesity epidemic in each age group in different countries. Additionally, this type of models may be applied to study other characteristics of other populations such animal populations.

Authors and Affiliations

Gilberto González-Parra, Ph. D *| Universidad de Los Andes, Facultad de Ingeniería, Departamento de Cálculo, Mérida, Venezuela.Correspondencia: gcarlos@ula.ve, Rafael J. Villanueva, Ph. D| Universidad Politécnica de Valencia, Instituto de Matemática Multidisciplinar, Valencia, España., Abraham J. Arenas, Ph. D| Universidad de Córdoba, Departamento de Matemáticas y Estadística, Montería, Colombia.

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  • EP ID EP3156
  • DOI -
  • Views 454
  • Downloads 20

How To Cite

Ph. D *, Ph. D, Ph. D (2010). An age structured model for obesity prevalence dynamics in populations. Revista MVZ Cordoba, 15(2), 2051-2059. https://europub.co.uk/articles/-A-3156