Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model

Autores
Meisel, Jose D.; Esguerra, Valentina; Pérez Ferrer, Carolina; Stankov, Ivana; Montes, Felipe; Tumas, Natalia; Bilal, Usama; Valdivia, Juan A.; Diez Roux, Ana Victoria; Sarmiento, Olga L.
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Purpose This paper aims to enrich understanding of the obesity transition among socioeconomic status (SES) strata by gender and age in cities of Colombia and Mexico. The study uses harmonized data from the Salud Urbana en América Latina (SALURBAL) study. Methods A population-level system dynamics model was developed using 2010 and 2015 data from Colombia and 2012 and 2016 data from Mexico (national health surveys). The model simulates the prevalence of different BMI categories (i.e., not overweight, overweight, obese) stratified by gender, age, and SES, in the SALURBAL cities (aggregated to the country level) of Colombia and Mexico from 2010 to 2050. Sample sizes for Colombia in 2010 and Mexico in 2012 were 7420 and 5785 children (<5 years), 21601 and 14413 children and adolescents (5–17 years), and 46597 and 20464 adults (18–64 years), respectively. Sample sizes for Colombia in 2015 and Mexico in 2016 were 4450 and 907 children, 12468 and 2350 children and adolescents, and 90430 and 3413 adults, respectively. Results For men in Colombia and Mexico, the burden of obesity is projected to increase among lower SES adults over time. Colombian women show similar patterns observed in men but the burden of obesity was already greater in the lower SES groups as early as 2012. In Mexican women, the burden of obesity in 2012 is higher in the lower SES population; however, the prevalence of obesity is projected to increase at a faster rate in the higher SES population. Patterns for children aged 0–14 years differed by gender and country. Conclusions The model suggests that the prevalence of obesity among SES strata by age and gender in SALURBAL cities of Colombia and Mexico are likely to change over time, and predicts their possible evolution through the different stages of the obesity transition.
Fil: Meisel, Jose D.. Universidad de Ibagué; Colombia
Fil: Esguerra, Valentina. Universidad de Ibagué; Colombia
Fil: Pérez Ferrer, Carolina. Consejo Nacional de Ciencia y Tecnología; México
Fil: Stankov, Ivana. Drexel University; Estados Unidos
Fil: Montes, Felipe. Universidad de Los Andes. Facultad de Ciencias;
Fil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Valdivia, Juan A.. Universidad de Chile.; Chile
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
Fil: Sarmiento, Olga L.. Universidad de Los Andes; Venezuela
Materia
COMPLEX SYSTEMS
EPIDEMIOLOGY
OBESITY TRANSITION
PUBLIC HEALTH
SYSTEM DYNAMICS MODEL
SYSTEM SCIENCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/261180
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/261180
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics modelMeisel, Jose D.Esguerra, ValentinaPérez Ferrer, CarolinaStankov, IvanaMontes, FelipeTumas, NataliaBilal, UsamaValdivia, Juan A.Diez Roux, Ana VictoriaSarmiento, Olga L.COMPLEX SYSTEMSEPIDEMIOLOGYOBESITY TRANSITIONPUBLIC HEALTHSYSTEM DYNAMICS MODELSYSTEM SCIENCEhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Purpose This paper aims to enrich understanding of the obesity transition among socioeconomic status (SES) strata by gender and age in cities of Colombia and Mexico. The study uses harmonized data from the Salud Urbana en América Latina (SALURBAL) study. Methods A population-level system dynamics model was developed using 2010 and 2015 data from Colombia and 2012 and 2016 data from Mexico (national health surveys). The model simulates the prevalence of different BMI categories (i.e., not overweight, overweight, obese) stratified by gender, age, and SES, in the SALURBAL cities (aggregated to the country level) of Colombia and Mexico from 2010 to 2050. Sample sizes for Colombia in 2010 and Mexico in 2012 were 7420 and 5785 children (<5 years), 21601 and 14413 children and adolescents (5–17 years), and 46597 and 20464 adults (18–64 years), respectively. Sample sizes for Colombia in 2015 and Mexico in 2016 were 4450 and 907 children, 12468 and 2350 children and adolescents, and 90430 and 3413 adults, respectively. Results For men in Colombia and Mexico, the burden of obesity is projected to increase among lower SES adults over time. Colombian women show similar patterns observed in men but the burden of obesity was already greater in the lower SES groups as early as 2012. In Mexican women, the burden of obesity in 2012 is higher in the lower SES population; however, the prevalence of obesity is projected to increase at a faster rate in the higher SES population. Patterns for children aged 0–14 years differed by gender and country. Conclusions The model suggests that the prevalence of obesity among SES strata by age and gender in SALURBAL cities of Colombia and Mexico are likely to change over time, and predicts their possible evolution through the different stages of the obesity transition.Fil: Meisel, Jose D.. Universidad de Ibagué; ColombiaFil: Esguerra, Valentina. Universidad de Ibagué; ColombiaFil: Pérez Ferrer, Carolina. Consejo Nacional de Ciencia y Tecnología; MéxicoFil: Stankov, Ivana. Drexel University; Estados UnidosFil: Montes, Felipe. Universidad de Los Andes. Facultad de Ciencias;Fil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; ArgentinaFil: Bilal, Usama. Drexel University; Estados UnidosFil: Valdivia, Juan A.. Universidad de Chile.; ChileFil: Diez Roux, Ana Victoria. Drexel University; Estados UnidosFil: Sarmiento, Olga L.. Universidad de Los Andes; VenezuelaElsevier Science London2024-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/261180Meisel, Jose D.; Esguerra, Valentina; Pérez Ferrer, Carolina; Stankov, Ivana; Montes, Felipe; et al.; Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model; Elsevier Science London; Heliyon; 10; 22; 11-2024; 1-152405-8440CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S240584402415952Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.heliyon.2024.e39921info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:14:56Zoai:ri.conicet.gov.ar:11336/261180instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:14:56.541CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
title Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
spellingShingle Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
Meisel, Jose D.
COMPLEX SYSTEMS
EPIDEMIOLOGY
OBESITY TRANSITION
PUBLIC HEALTH
SYSTEM DYNAMICS MODEL
SYSTEM SCIENCE
title_short Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
title_full Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
title_fullStr Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
title_full_unstemmed Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
title_sort Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model
dc.creator.none.fl_str_mv Meisel, Jose D.
Esguerra, Valentina
Pérez Ferrer, Carolina
Stankov, Ivana
Montes, Felipe
Tumas, Natalia
Bilal, Usama
Valdivia, Juan A.
Diez Roux, Ana Victoria
Sarmiento, Olga L.
author Meisel, Jose D.
author_facet Meisel, Jose D.
Esguerra, Valentina
Pérez Ferrer, Carolina
Stankov, Ivana
Montes, Felipe
Tumas, Natalia
Bilal, Usama
Valdivia, Juan A.
Diez Roux, Ana Victoria
Sarmiento, Olga L.
author_role author
author2 Esguerra, Valentina
Pérez Ferrer, Carolina
Stankov, Ivana
Montes, Felipe
Tumas, Natalia
Bilal, Usama
Valdivia, Juan A.
Diez Roux, Ana Victoria
Sarmiento, Olga L.
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COMPLEX SYSTEMS
EPIDEMIOLOGY
OBESITY TRANSITION
PUBLIC HEALTH
SYSTEM DYNAMICS MODEL
SYSTEM SCIENCE
topic COMPLEX SYSTEMS
EPIDEMIOLOGY
OBESITY TRANSITION
PUBLIC HEALTH
SYSTEM DYNAMICS MODEL
SYSTEM SCIENCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Purpose This paper aims to enrich understanding of the obesity transition among socioeconomic status (SES) strata by gender and age in cities of Colombia and Mexico. The study uses harmonized data from the Salud Urbana en América Latina (SALURBAL) study. Methods A population-level system dynamics model was developed using 2010 and 2015 data from Colombia and 2012 and 2016 data from Mexico (national health surveys). The model simulates the prevalence of different BMI categories (i.e., not overweight, overweight, obese) stratified by gender, age, and SES, in the SALURBAL cities (aggregated to the country level) of Colombia and Mexico from 2010 to 2050. Sample sizes for Colombia in 2010 and Mexico in 2012 were 7420 and 5785 children (<5 years), 21601 and 14413 children and adolescents (5–17 years), and 46597 and 20464 adults (18–64 years), respectively. Sample sizes for Colombia in 2015 and Mexico in 2016 were 4450 and 907 children, 12468 and 2350 children and adolescents, and 90430 and 3413 adults, respectively. Results For men in Colombia and Mexico, the burden of obesity is projected to increase among lower SES adults over time. Colombian women show similar patterns observed in men but the burden of obesity was already greater in the lower SES groups as early as 2012. In Mexican women, the burden of obesity in 2012 is higher in the lower SES population; however, the prevalence of obesity is projected to increase at a faster rate in the higher SES population. Patterns for children aged 0–14 years differed by gender and country. Conclusions The model suggests that the prevalence of obesity among SES strata by age and gender in SALURBAL cities of Colombia and Mexico are likely to change over time, and predicts their possible evolution through the different stages of the obesity transition.
Fil: Meisel, Jose D.. Universidad de Ibagué; Colombia
Fil: Esguerra, Valentina. Universidad de Ibagué; Colombia
Fil: Pérez Ferrer, Carolina. Consejo Nacional de Ciencia y Tecnología; México
Fil: Stankov, Ivana. Drexel University; Estados Unidos
Fil: Montes, Felipe. Universidad de Los Andes. Facultad de Ciencias;
Fil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; Argentina
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Valdivia, Juan A.. Universidad de Chile.; Chile
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
Fil: Sarmiento, Olga L.. Universidad de Los Andes; Venezuela
description Purpose This paper aims to enrich understanding of the obesity transition among socioeconomic status (SES) strata by gender and age in cities of Colombia and Mexico. The study uses harmonized data from the Salud Urbana en América Latina (SALURBAL) study. Methods A population-level system dynamics model was developed using 2010 and 2015 data from Colombia and 2012 and 2016 data from Mexico (national health surveys). The model simulates the prevalence of different BMI categories (i.e., not overweight, overweight, obese) stratified by gender, age, and SES, in the SALURBAL cities (aggregated to the country level) of Colombia and Mexico from 2010 to 2050. Sample sizes for Colombia in 2010 and Mexico in 2012 were 7420 and 5785 children (<5 years), 21601 and 14413 children and adolescents (5–17 years), and 46597 and 20464 adults (18–64 years), respectively. Sample sizes for Colombia in 2015 and Mexico in 2016 were 4450 and 907 children, 12468 and 2350 children and adolescents, and 90430 and 3413 adults, respectively. Results For men in Colombia and Mexico, the burden of obesity is projected to increase among lower SES adults over time. Colombian women show similar patterns observed in men but the burden of obesity was already greater in the lower SES groups as early as 2012. In Mexican women, the burden of obesity in 2012 is higher in the lower SES population; however, the prevalence of obesity is projected to increase at a faster rate in the higher SES population. Patterns for children aged 0–14 years differed by gender and country. Conclusions The model suggests that the prevalence of obesity among SES strata by age and gender in SALURBAL cities of Colombia and Mexico are likely to change over time, and predicts their possible evolution through the different stages of the obesity transition.
publishDate 2024
dc.date.none.fl_str_mv 2024-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/261180
Meisel, Jose D.; Esguerra, Valentina; Pérez Ferrer, Carolina; Stankov, Ivana; Montes, Felipe; et al.; Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model; Elsevier Science London; Heliyon; 10; 22; 11-2024; 1-15
2405-8440
CONICET Digital
CONICET
url http://hdl.handle.net/11336/261180
identifier_str_mv Meisel, Jose D.; Esguerra, Valentina; Pérez Ferrer, Carolina; Stankov, Ivana; Montes, Felipe; et al.; Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model; Elsevier Science London; Heliyon; 10; 22; 11-2024; 1-15
2405-8440
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S240584402415952X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.heliyon.2024.e39921
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science London
publisher.none.fl_str_mv Elsevier Science London
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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