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Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model

Diabetes and obesity present a high and increasing burden of disease in the Caribbean that have failed to respond to prevention policies and interventions. These conditions are the result of a complex system of drivers and determinants that can make it difficult to predict the impact of intervention...

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Autores principales: Guariguata, Leonor, Garcia, Leandro, Sobers, Natasha, Ferguson, Trevor S., Woodcock, James, Samuels, T. Alafia, Guell, Cornelia, Unwin, Nigel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021196/
https://www.ncbi.nlm.nih.gov/pubmed/36962372
http://dx.doi.org/10.1371/journal.pgph.0000436
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author Guariguata, Leonor
Garcia, Leandro
Sobers, Natasha
Ferguson, Trevor S.
Woodcock, James
Samuels, T. Alafia
Guell, Cornelia
Unwin, Nigel
author_facet Guariguata, Leonor
Garcia, Leandro
Sobers, Natasha
Ferguson, Trevor S.
Woodcock, James
Samuels, T. Alafia
Guell, Cornelia
Unwin, Nigel
author_sort Guariguata, Leonor
collection PubMed
description Diabetes and obesity present a high and increasing burden of disease in the Caribbean that have failed to respond to prevention policies and interventions. These conditions are the result of a complex system of drivers and determinants that can make it difficult to predict the impact of interventions. In partnership with stakeholders, we developed a system dynamics simulation model to map the system driving diabetes and obesity prevalence in the Caribbean using Jamaica as a test case. The study aims to use the model to assess the magnitude changes necessary in physical activity and dietary intake to achieve global targets set by the WHO Global Action plan and to test scenarios for interventions to reduce the burden of diabetes and obesity. Continuing current trends in diet, physical activity, and demographics, the model predicts diabetes in Jamaican adults (20+ years) to rise from 12% in 2018 to 15.4% in 2030 and 20.9% by 2050. For obesity, it predicts prevalence to rise from 28.6% in 2018 to 32.1% by 2030 and 39.2% by 2050. The magnitude change necessary to achieve the global targets set by the World Health Organization is so great as to be unachievable. However, a combination of measures both upstream (including reducing the consumption of sugar sweetened beverages and ultra processed foods, increasing fruit and vegetable intake, and increasing moderate-to-vigorous activity) at the population level, and downstream (targeting people at high risk and with diabetes) can significantly reduce the future burden of diabetes and obesity in the region. No single intervention reduces the prevalence of these conditions as much as a combination of interventions. Thus, the findings of this model strongly support adopting a sustained and coordinated approach across various sectors to synergistically maximise the benefits of interventions.
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spelling pubmed-100211962023-03-17 Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model Guariguata, Leonor Garcia, Leandro Sobers, Natasha Ferguson, Trevor S. Woodcock, James Samuels, T. Alafia Guell, Cornelia Unwin, Nigel PLOS Glob Public Health Research Article Diabetes and obesity present a high and increasing burden of disease in the Caribbean that have failed to respond to prevention policies and interventions. These conditions are the result of a complex system of drivers and determinants that can make it difficult to predict the impact of interventions. In partnership with stakeholders, we developed a system dynamics simulation model to map the system driving diabetes and obesity prevalence in the Caribbean using Jamaica as a test case. The study aims to use the model to assess the magnitude changes necessary in physical activity and dietary intake to achieve global targets set by the WHO Global Action plan and to test scenarios for interventions to reduce the burden of diabetes and obesity. Continuing current trends in diet, physical activity, and demographics, the model predicts diabetes in Jamaican adults (20+ years) to rise from 12% in 2018 to 15.4% in 2030 and 20.9% by 2050. For obesity, it predicts prevalence to rise from 28.6% in 2018 to 32.1% by 2030 and 39.2% by 2050. The magnitude change necessary to achieve the global targets set by the World Health Organization is so great as to be unachievable. However, a combination of measures both upstream (including reducing the consumption of sugar sweetened beverages and ultra processed foods, increasing fruit and vegetable intake, and increasing moderate-to-vigorous activity) at the population level, and downstream (targeting people at high risk and with diabetes) can significantly reduce the future burden of diabetes and obesity in the region. No single intervention reduces the prevalence of these conditions as much as a combination of interventions. Thus, the findings of this model strongly support adopting a sustained and coordinated approach across various sectors to synergistically maximise the benefits of interventions. Public Library of Science 2022-05-19 /pmc/articles/PMC10021196/ /pubmed/36962372 http://dx.doi.org/10.1371/journal.pgph.0000436 Text en © 2022 Guariguata et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guariguata, Leonor
Garcia, Leandro
Sobers, Natasha
Ferguson, Trevor S.
Woodcock, James
Samuels, T. Alafia
Guell, Cornelia
Unwin, Nigel
Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model
title Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model
title_full Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model
title_fullStr Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model
title_full_unstemmed Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model
title_short Exploring ways to respond to rising obesity and diabetes in the Caribbean using a system dynamics model
title_sort exploring ways to respond to rising obesity and diabetes in the caribbean using a system dynamics model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021196/
https://www.ncbi.nlm.nih.gov/pubmed/36962372
http://dx.doi.org/10.1371/journal.pgph.0000436
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