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A system dynamics model of the nutritional stages of the Colombian population

Jose D Meisel (Department of Industrial Engineering, Faculty of Engineering, Universidad de los Andes, Bogotá, Colombia CeiBA Complex Systems Research Center, Bogotá, Colombia and Facultad de Ingeniería, Universidad de Ibagué, Ibagué, Colombia)
Olga L. Sarmiento (Department of Public Health, School of Medicine, Universidad de los Andes, Bogotá, Colombia and CeiBA Complex Systems Research Center, Bogotá, Colombia)
Camilo Olaya (Department of Industrial Engineering, Faculty of Engineering, Universidad de los Andes, Bogotá, Colombia and CeiBA Complex Systems Research Center, Bogotá, Colombia)
Juan A Valdivia (Departamento de Física, Facultad de Ciencias, Universidad de Chile, Santiago, Chile and Centro para el Desarrollo de la Nanociencia y la Nanotecnología, CEDENNA, Santiago, Chile,)
Roberto Zarama (Department of Industrial Engineering, Faculty of Engineering, Universidad de los Andes, Bogotá, Colombia and CeiBA Complex Systems Research Center, Bogotá, Colombia)

Kybernetes

ISSN: 0368-492X

Article publication date: 4 April 2016

312

Abstract

Purpose

Overweight, obesity, and physical inactivity have in recent years become an important public health problem worldwide. Investigations that study obesity using a systemic approach in low- and middle-income countries (LMICs) are limited. Therefore, the purpose of this paper is to study the nutritional stages dynamics within the Colombian urban population.

Design/methodology/approach

The authors used a population-level systems dynamics (SD) model that captures the transitions of population by body mass index (BMI) categories. The authors proposed a heuristic to estimate the transference rates (TRs) between BMI categories using data from the Colombian Demographic and Health Survey 2005 and 2010.

Findings

The Colombian urban population is moving to overweight and obese categories. The TRs from not overweight to overweight and from overweight to obese (0.0076 and 0.0054, respectively) are higher than the TRs from obese to overweight and from overweight to not-overweight (1.025×10e−7 and 3.47×10e−7, respectively). The simulation results show that the prevalences of overweight and obesity will increase by 6.2 and 7.5 percent by 2015, and by 13.4 and 18.9 percent by 2030, respectively.

Originality/value

Investigations that study obesity using a systemic approach in LMICs are limited. A SD model was proposed to examine changes in the population’s nutritional stages using population accumulation structures by BMI categories. The authors propose a heuristic to estimate the TRs of individuals between BMI categories. The proposed model can be used to study the effects of policy interventions to prevent overweight and obesity. The authors analyze a few policy intervention strategies.

Keywords

Acknowledgements

The study was funded by the Center for Interdisciplinary Studies in Basic and Applied Complexity (CeiBA), Bogotá, Colombia; and Colciencias. CeiBA funded the doctoral student and the publication of the article; the “Programa nacional de formación doctoral Francisco Jose de Caldas” from Colciencias,” (Convocatorias 511-2010) funded the work of Jose David Meisel. J. A. Valdivia thanks Fondecyt grant 1110135.

Citation

Meisel, J.D., Sarmiento, O.L., Olaya, C., Valdivia, J.A. and Zarama, R. (2016), "A system dynamics model of the nutritional stages of the Colombian population", Kybernetes, Vol. 45 No. 4, pp. 554-570. https://doi.org/10.1108/K-01-2015-0010

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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