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

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...

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Autores:: Meisel, Jose D
Esguerra, Valentina
Pérez Ferrer, Carolina
Stankov, Ivana
Montes, Felipe
Tumas, Natalia
Bilal, Usama
Valdivia, Juan A.
Diez Roux, Ana V
Sarmiento, Olga L.

Tipo de recurso:: Article of investigation

Fecha de publicación:: 2024

Institución:: Universidad de Ibagué

Repositorio:: Repositorio Universidad de Ibagué

Idioma:: eng

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network_acronym_str	UNIBAGUE2
network_name_str	Repositorio Universidad de Ibagué
repository_id_str
dc.title.eng.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 Obesidad - Colombia Obesidad - México 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.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 V Sarmiento, Olga L.
dc.contributor.author.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 V Sarmiento, Olga L.
dc.subject.armarc.none.fl_str_mv	Obesidad - Colombia Obesidad - México
topic	Obesidad - Colombia Obesidad - México Complex systems Epidemiology Obesity transition Public health System dynamics model System science
dc.subject.proposal.eng.fl_str_mv	Complex systems Epidemiology Obesity transition Public health System dynamics model System science
description	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.issued.none.fl_str_mv	2024-11-30
dc.date.accessioned.none.fl_str_mv	2025-11-27T16:17:14Z
dc.date.available.none.fl_str_mv	2025-11-27T16:17:14Z
dc.type.none.fl_str_mv	Artículo de revista
dc.type.coar.none.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.none.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.content.none.fl_str_mv	Text
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv	info:eu-repo/semantics/publishedVersion
format	http://purl.org/coar/resource_type/c_2df8fbb1
status_str	publishedVersion
dc.identifier.citation.none.fl_str_mv	Meisel, J., Esguerra, V., Pérez, C., Stankov, I., Montes, F., Tumas, N., Bilal, U., Valdivia, J., Diez, A. y Sarmiento, O. (2024). Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model. 10(22). DOI: 10.1016/j.heliyon.2024.e39921
dc.identifier.doi.none.fl_str_mv	10.1016/j.heliyon.2024.e39921
dc.identifier.issn.none.fl_str_mv	24058440
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/20.500.12313/6047
dc.identifier.url.none.fl_str_mv	https://www.cell.com/heliyon/fulltext/S2405-8440(24)15952-X
identifier_str_mv	Meisel, J., Esguerra, V., Pérez, C., Stankov, I., Montes, F., Tumas, N., Bilal, U., Valdivia, J., Diez, A. y Sarmiento, O. (2024). Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model. 10(22). DOI: 10.1016/j.heliyon.2024.e39921 10.1016/j.heliyon.2024.e39921 24058440
url	https://hdl.handle.net/20.500.12313/6047 https://www.cell.com/heliyon/fulltext/S2405-8440(24)15952-X
dc.language.iso.none.fl_str_mv	eng
language	eng
dc.relation.citationissue.none.fl_str_mv	22
dc.relation.citationvolume.none.fl_str_mv	10
dc.relation.ispartofjournal.none.fl_str_mv	Heliyon
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spelling	Meisel, Jose Dfb6ee7e4-d71a-4ad0-ada1-224714cb0696-1Esguerra, Valentinafb402b1a-7787-4030-9bfc-c2f943e7ae50-1Pérez Ferrer, Carolina1cf923d1-e954-4050-b308-00dca5187294-1Stankov, Ivana1f9d9687-9e14-4c71-8bdd-6dff6c1c053b-1Montes, Felipe512f5570-61cd-4fe8-afe6-680bb268a930-1Tumas, Natalia9cb00b09-e5c8-43cd-8013-93f89181daf2-1Bilal, Usama9c7e38f4-e4c3-4836-987e-10223b1c12fc-1Valdivia, Juan A.db46e4b8-5399-4a19-af31-90294f5d299a-1Diez Roux, Ana V7e736370-5178-43e4-89c9-3889dab97731-1Sarmiento, Olga L.0257d427-ff03-4e61-9aec-d3a824f01bc2-12025-11-27T16:17:14Z2025-11-27T16:17:14Z2024-11-30This 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.application/pdfMeisel, J., Esguerra, V., Pérez, C., Stankov, I., Montes, F., Tumas, N., Bilal, U., Valdivia, J., Diez, A. y Sarmiento, O. (2024). Understanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics model. 10(22). DOI: 10.1016/j.heliyon.2024.e3992110.1016/j.heliyon.2024.e3992124058440https://hdl.handle.net/20.500.12313/6047https://www.cell.com/heliyon/fulltext/S2405-8440(24)15952-XengElsevier LtdReino Unido2210HeliyonL. Wolfenden, M. Ezzati, B. Larijani, W. Dietz, The challenge for global health systems in preventing and managing obesity, Obes. Rev. 20 (2019) 185–193, https://doi.org/10.1111/obr.12872L. Abarca-Gomez, ´ Z.A. Abdeen, Z.A. Hamid, N.M. Abu-Rmeileh, B. Acosta-Cazares, C. Acuin, R.J. Adams, W. Aekplakorn, K. Afsana, C.A. Aguilar-Salinas, C. Agyemang, A. Ahmadvand, W. Ahrens, K. Ajlouni, N. Akhtaeva, H.M. Al-Hazzaa, A.R. Al-Othman, R. Al-Raddadi, F.A. Buhairan, S.A. Dhukair, M.M. Ali, O. Ali, A. Alkerwi, M. Alvarez-Pedrerol, E. Aly, D.N. Amarapurkar, P. Amouyel, A. Amuzu, L.B. Andersen, S.A. Anderssen, D.S. Andrade, L.H. Angquist, ¨ R. M. Anjana, H. Aounallah-Skhiri, J. Araújo, I. Ariansen, T. Aris, N. Arlappa, D. Arveiler, K.K. Aryal, T. Aspelund, F.K. Assah, M.C.F. Assunç˜ ao, M.S. Aung, M. Avdicov´ a, A. Azevedo, F. Azizi, B.V. Babu, S. Bahijri, J.L. Baker, N. Balakrishna, M. Bamoshmoosh, M. Banach, P. Bandosz, J.R. Banegas, C.M. Barbagallo, A. Barcelo, ´ A. Barkat, A.J. Barros, M.V. Barros, I. Bata, A.M. Batieha, R.L. Batista, A. Batyrbek, L.A. Baur, R. Beaglehole, H.B. Romdhane, J. Benedics, M. Benet, J.E. Bennett, A. Bernabe-Ortiz, G. Bernotiene, H. Bettiol, A. Bhagyalaxmi, S. Bharadwaj, S.K. Bhargava, Z. Bhatti, Z.A. Bhutta, H. Bi, Y. Bi, A. Biehl, M. Bikbov, B. Bista, D.J. Bjelica, P. Bjerregaard, E. Bjertness, M.B. Bjertness, C. Bjorkelund, ¨ A. Blokstra, S. Bo, M. Bobak, L.M. Boddy, B.O. Boehm, H. Boeing, J.G. Boggia, C. P. Boissonnet, M. Bonaccio, V. Bongard, P. Bovet, L. Braeckevelt, L. Braeckman, M.C. Bragt, I. Brajkovich, F. Branca, J. Breckenkamp, J. Breda, H. Brenner, L. M. Brewster, G.R. Brian, L. Brinduse, G. Bruno, H.B. Bueno-de-Mesquita, A. Bugge, M. Buoncristiano, G. Burazeri, C. Burns, A.C. de Leon, ´ J. Cacciottolo, H. Cai, T. Cama, C. 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Dias-da-Costa, A. Diaz, Z. Dika, S. Djalalinia, H.T. Do, A.J. Dobson, M.B. Donati, C. Donfrancesco, S.P. Donoso, A. Doring, ¨ M. Dorobantu, A.R. Dorosty, K. Doua, W. Drygas, J.L. Duan, C. Duante, V. Duleva, V. Dulskiene, V. Dzerve, E. Dziankowska-Zaborszczyk, E.E. Egbagbe, R. Eggertsen, G. Eiben, U. Ekelund, J.E. Ati, P. Elliott, R. Engle-Stone, R.T. Erasmus, C. Erem, L. Eriksen, J.G. Eriksson, J.E. la Pena, ˜ A. Evans, D. Faeh, C.H. Fall, V.F. Sant’Angelo, F. Farzadfar, F.J. Felix-Redondo, T.S. Ferguson, R.A. Fernandes, D. Fern´ andez-Berg´es, D. Ferrante, M. Ferrari, C. Ferreccio, J. Ferrieres, J.D. Finn, K. Fischer, E.M. Flores, B. Foger, ¨ L.H. Foo, A.-S. Forslund, M. Forsner, H.M. Fouad, D.K. Francis, M. do C. Franco, O.H. Franco, G. Frontera, F.D. Fuchs, S.C. Fuchs, Y. Fujita, T. Furusawa, Z. Gaciong, M. Gafencu, D. Galeone, F. Galvano, M. Garcia-de-la-Hera, D. Gareta, S.P. Garnett, J.- M. Gaspoz, M. Gasull, L. Gates, H. Geiger, J.M. Geleijnse, A. Ghasemian, S. Giampaoli, F. 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Health 104 (2014) e43–e50, https://doi.org/10.2105/AJPH.2014.302066.© 2024 The Authorsinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/Obesidad - ColombiaObesidad - MéxicoComplex systemsEpidemiologyObesity transitionPublic healthSystem dynamics modelSystem scienceUnderstanding the obesity dynamics by socioeconomic status in Colombian and Mexican cities using a system dynamics modelArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-8134https://repositorio.unibague.edu.co/bitstreams/c1849f6a-3a14-4037-b0b2-623c56ef76c0/download2fa3e590786b9c0f3ceba1b9656b7ac3MD51ORIGINALArtículo.pdfArtículo.pdfapplication/pdf163650https://repositorio.unibague.edu.co/bitstreams/5103c085-ca0c-4b06-a8eb-57d666b281e7/download0618cc8744c71202671541e6bdfd5f83MD52TEXTArtículo.pdf.txtArtículo.pdf.txtExtracted texttext/plain1548https://repositorio.unibague.edu.co/bitstreams/218263bc-e999-4054-9a2a-55db0dde0317/downloadae54630e46ae690a14aedf5a384c9752MD53THUMBNAILArtículo.pdf.jpgArtículo.pdf.jpgIM Thumbnailimage/jpeg20230https://repositorio.unibague.edu.co/bitstreams/6ffda685-4d74-4baa-9bb7-afaf07af6a2d/download22bef6cb2397d2023e3ebb4e7dab6824MD5420.500.12313/6047oai:repositorio.unibague.edu.co:20.500.12313/60472025-11-28 03:01:42.805https://creativecommons.org/licenses/by/4.0/© 2024 The Authorshttps://repositorio.unibague.edu.coRepositorio Institucional Universidad de Ibaguébdigital@metabiblioteca.comQ3JlYXRpdmUgQ29tbW9ucyBBdHRyaWJ1dGlvbi1Ob25Db21tZXJjaWFsLU5vRGVyaXZhdGl2ZXMgNC4wIEludGVybmF0aW9uYWwgTGljZW5zZQ0KaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LW5jLW5kLzQuMC8=

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

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