A Note on Obesity as Epidemic in Korea

OBJECTIVE: To analyze the incidence of obesity in adults aged 19–59 years in Korea and predict its trend in the future. METHODS: We considered a two-compartmental deterministic mathematical model Susceptible-Infected-Susceptible (SIS), a system of difference equations, to predict the evolution of ob...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Mun Seok, Chu, Chaeshin, Kim, Yongkuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2011
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766924/
https://www.ncbi.nlm.nih.gov/pubmed/24159463
http://dx.doi.org/10.1016/j.phrp.2011.08.004
_version_ 1782477347137519616
author Kim, Mun Seok
Chu, Chaeshin
Kim, Yongkuk
author_facet Kim, Mun Seok
Chu, Chaeshin
Kim, Yongkuk
author_sort Kim, Mun Seok
collection PubMed
description OBJECTIVE: To analyze the incidence of obesity in adults aged 19–59 years in Korea and predict its trend in the future. METHODS: We considered a two-compartmental deterministic mathematical model Susceptible-Infected-Susceptible (SIS), a system of difference equations, to predict the evolution of obesity in the population and to propose strategies to reduce its incidence. RESULTS: The prevention strategy on normal-weight individuals produced a greater improvement than that produced by treatment strategies. CONCLUSIONS: Mathematical model sensitivity analysis suggests that obesity prevention strategies are more effective than obesity treatment strategies in controlling the increase of adult obesity in Korea.
format Online
Article
Text
id pubmed-3766924
institution National Center for Biotechnology Information
language English
publishDate 2011
record_format MEDLINE/PubMed
spelling pubmed-37669242013-10-24 A Note on Obesity as Epidemic in Korea Kim, Mun Seok Chu, Chaeshin Kim, Yongkuk Osong Public Health Res Perspect Original Article OBJECTIVE: To analyze the incidence of obesity in adults aged 19–59 years in Korea and predict its trend in the future. METHODS: We considered a two-compartmental deterministic mathematical model Susceptible-Infected-Susceptible (SIS), a system of difference equations, to predict the evolution of obesity in the population and to propose strategies to reduce its incidence. RESULTS: The prevention strategy on normal-weight individuals produced a greater improvement than that produced by treatment strategies. CONCLUSIONS: Mathematical model sensitivity analysis suggests that obesity prevention strategies are more effective than obesity treatment strategies in controlling the increase of adult obesity in Korea. 2011-08-05 2011-09 /pmc/articles/PMC3766924/ /pubmed/24159463 http://dx.doi.org/10.1016/j.phrp.2011.08.004 Text en © 2011 Published by Elsevier B.V. on behalf of Korea Centers for Disease Control and Prevention. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Mun Seok
Chu, Chaeshin
Kim, Yongkuk
A Note on Obesity as Epidemic in Korea
title A Note on Obesity as Epidemic in Korea
title_full A Note on Obesity as Epidemic in Korea
title_fullStr A Note on Obesity as Epidemic in Korea
title_full_unstemmed A Note on Obesity as Epidemic in Korea
title_short A Note on Obesity as Epidemic in Korea
title_sort note on obesity as epidemic in korea
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766924/
https://www.ncbi.nlm.nih.gov/pubmed/24159463
http://dx.doi.org/10.1016/j.phrp.2011.08.004
work_keys_str_mv AT kimmunseok anoteonobesityasepidemicinkorea
AT chuchaeshin anoteonobesityasepidemicinkorea
AT kimyongkuk anoteonobesityasepidemicinkorea
AT kimmunseok noteonobesityasepidemicinkorea
AT chuchaeshin noteonobesityasepidemicinkorea
AT kimyongkuk noteonobesityasepidemicinkorea

Ejemplares similares