An age structured model for obesity prevalence dynamics in populations

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 math...

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Main Authors: Gilberto González Parra, Rafael J. Villanueva, Abraham J. Arenas
Format: Article
Language:English
Published: Universidad de Cordoba 2010-08-01
Series:Revista MVZ Cordoba
Subjects:
Age
Online Access:http://www.unicordoba.edu.co/revistas/revistamvz/mvz-152/v15n2a3.pdf
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spelling doaj-4b725fc1411c4f80a5e57dde9e8e4bab2020-11-25T00:41:58ZengUniversidad de CordobaRevista MVZ Cordoba0122-02681909-05442010-08-0115220512059An age structured model for obesity prevalence dynamics in populationsGilberto González ParraRafael J. VillanuevaAbraham J. ArenasObjective. 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.http://www.unicordoba.edu.co/revistas/revistamvz/mvz-152/v15n2a3.pdfAgehuman obesitypopulationmathematical model
collection DOAJ
language English
format Article
sources DOAJ
author Gilberto González Parra
Rafael J. Villanueva
Abraham J. Arenas
spellingShingle Gilberto González Parra
Rafael J. Villanueva
Abraham J. Arenas
An age structured model for obesity prevalence dynamics in populations
Revista MVZ Cordoba
Age
human obesity
population
mathematical model
author_facet Gilberto González Parra
Rafael J. Villanueva
Abraham J. Arenas
author_sort Gilberto González Parra
title An age structured model for obesity prevalence dynamics in populations
title_short An age structured model for obesity prevalence dynamics in populations
title_full An age structured model for obesity prevalence dynamics in populations
title_fullStr An age structured model for obesity prevalence dynamics in populations
title_full_unstemmed An age structured model for obesity prevalence dynamics in populations
title_sort age structured model for obesity prevalence dynamics in populations
publisher Universidad de Cordoba
series Revista MVZ Cordoba
issn 0122-0268
1909-0544
publishDate 2010-08-01
description 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.
topic Age
human obesity
population
mathematical model
url http://www.unicordoba.edu.co/revistas/revistamvz/mvz-152/v15n2a3.pdf
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