Cargando…

Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels

OBJECTIVE: We study the obesity transition by socioeconomic status (SES), gender and age within the Colombian urban population at the country, regional and department levels. DESIGN: The study is informed by cross-sectional data from the 2005 and 2010 ENSIN survey. We used these data to develop a sy...

Descripción completa

Detalles Bibliográficos
Autores principales: Meisel, Jose D, Ramirez, Angie M, Esguerra, Valentina, Montes, Felipe, Stankov, Ivana, Sarmiento, Olga L., Valdivia, Juan A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282389/
https://www.ncbi.nlm.nih.gov/pubmed/32499271
http://dx.doi.org/10.1136/bmjopen-2019-036534
_version_ 1783544126139006976
author Meisel, Jose D
Ramirez, Angie M
Esguerra, Valentina
Montes, Felipe
Stankov, Ivana
Sarmiento, Olga L.
Valdivia, Juan A
author_facet Meisel, Jose D
Ramirez, Angie M
Esguerra, Valentina
Montes, Felipe
Stankov, Ivana
Sarmiento, Olga L.
Valdivia, Juan A
author_sort Meisel, Jose D
collection PubMed
description OBJECTIVE: We study the obesity transition by socioeconomic status (SES), gender and age within the Colombian urban population at the country, regional and department levels. DESIGN: The study is informed by cross-sectional data from the 2005 and 2010 ENSIN survey. We used these data to develop a system dynamics model that simulates the dynamics of obesity by body mass index (BMI) categories, gender and SES at the country, regional and department levels from 2005 to 2030. PARTICIPANTS: The sample size of the 2005 ENSIN comprised 8515 children younger than 5 years, 32 009 children and adolescents aged 5–17 years and 48 056 adults aged 18–64 years. In 2010, the corresponding numbers were 11 368, 32 524 and 64 425, respectively. PRIMARY AND SECONDARY OUTCOME MEASURE: The obesity prevalence ratio and prevalence rates for each BMI category. RESULTS: The results show, at the country level, transitions from overweight to obesity were projected to increase sharply among lower SES adults, particularly among women, suggesting that these groups will undergo an obesity transition by 2030. The model projections also indicate that the regions of Colombia are in different stages of the obesity transition. In the case of women, five out of the six regions were expected to undergo an obesity transition by SES over time. For men, only one region was expected to undergo an obesity transition. However, at the department level, trends in the burden of obesity varied. CONCLUSIONS: We evidence that the Colombian population could be experiencing an obesity transition where the increase in the GDP could be related to shifts in the burden of obesity from higher to lower SES, especially in women. These patterns support the need for policy planning that considers SES and gender, at the national and subnational levels, as important determinants of overweight and obesity among adults in Colombia.
format Online
Article
Text
id pubmed-7282389
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-72823892020-06-15 Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels Meisel, Jose D Ramirez, Angie M Esguerra, Valentina Montes, Felipe Stankov, Ivana Sarmiento, Olga L. Valdivia, Juan A BMJ Open Public Health OBJECTIVE: We study the obesity transition by socioeconomic status (SES), gender and age within the Colombian urban population at the country, regional and department levels. DESIGN: The study is informed by cross-sectional data from the 2005 and 2010 ENSIN survey. We used these data to develop a system dynamics model that simulates the dynamics of obesity by body mass index (BMI) categories, gender and SES at the country, regional and department levels from 2005 to 2030. PARTICIPANTS: The sample size of the 2005 ENSIN comprised 8515 children younger than 5 years, 32 009 children and adolescents aged 5–17 years and 48 056 adults aged 18–64 years. In 2010, the corresponding numbers were 11 368, 32 524 and 64 425, respectively. PRIMARY AND SECONDARY OUTCOME MEASURE: The obesity prevalence ratio and prevalence rates for each BMI category. RESULTS: The results show, at the country level, transitions from overweight to obesity were projected to increase sharply among lower SES adults, particularly among women, suggesting that these groups will undergo an obesity transition by 2030. The model projections also indicate that the regions of Colombia are in different stages of the obesity transition. In the case of women, five out of the six regions were expected to undergo an obesity transition by SES over time. For men, only one region was expected to undergo an obesity transition. However, at the department level, trends in the burden of obesity varied. CONCLUSIONS: We evidence that the Colombian population could be experiencing an obesity transition where the increase in the GDP could be related to shifts in the burden of obesity from higher to lower SES, especially in women. These patterns support the need for policy planning that considers SES and gender, at the national and subnational levels, as important determinants of overweight and obesity among adults in Colombia. BMJ Publishing Group 2020-06-03 /pmc/articles/PMC7282389/ /pubmed/32499271 http://dx.doi.org/10.1136/bmjopen-2019-036534 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Meisel, Jose D
Ramirez, Angie M
Esguerra, Valentina
Montes, Felipe
Stankov, Ivana
Sarmiento, Olga L.
Valdivia, Juan A
Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels
title Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels
title_full Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels
title_fullStr Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels
title_full_unstemmed Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels
title_short Using a system dynamics model to study the obesity transition by socioeconomic status in Colombia at the country, regional and department levels
title_sort using a system dynamics model to study the obesity transition by socioeconomic status in colombia at the country, regional and department levels
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282389/
https://www.ncbi.nlm.nih.gov/pubmed/32499271
http://dx.doi.org/10.1136/bmjopen-2019-036534
work_keys_str_mv AT meiseljosed usingasystemdynamicsmodeltostudytheobesitytransitionbysocioeconomicstatusincolombiaatthecountryregionalanddepartmentlevels
AT ramirezangiem usingasystemdynamicsmodeltostudytheobesitytransitionbysocioeconomicstatusincolombiaatthecountryregionalanddepartmentlevels
AT esguerravalentina usingasystemdynamicsmodeltostudytheobesitytransitionbysocioeconomicstatusincolombiaatthecountryregionalanddepartmentlevels
AT montesfelipe usingasystemdynamicsmodeltostudytheobesitytransitionbysocioeconomicstatusincolombiaatthecountryregionalanddepartmentlevels
AT stankovivana usingasystemdynamicsmodeltostudytheobesitytransitionbysocioeconomicstatusincolombiaatthecountryregionalanddepartmentlevels
AT sarmientoolgal usingasystemdynamicsmodeltostudytheobesitytransitionbysocioeconomicstatusincolombiaatthecountryregionalanddepartmentlevels
AT valdiviajuana usingasystemdynamicsmodeltostudytheobesitytransitionbysocioeconomicstatusincolombiaatthecountryregionalanddepartmentlevels