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Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach
China’s diabetes epidemic is getting worse. People with diabetes in China usually have a lower body weight and a different lifestyle profile compared to their counterparts in the United States (US). More and more evidence show that certain lifestyles can possibly be spread from person to person, lea...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572682/ https://www.ncbi.nlm.nih.gov/pubmed/31091690 http://dx.doi.org/10.3390/ijerph16101677 |
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author | Luo, Linna Pang, Bowen Chen, Jian Li, Yan Xie, Xiaolei |
author_facet | Luo, Linna Pang, Bowen Chen, Jian Li, Yan Xie, Xiaolei |
author_sort | Luo, Linna |
collection | PubMed |
description | China’s diabetes epidemic is getting worse. People with diabetes in China usually have a lower body weight and a different lifestyle profile compared to their counterparts in the United States (US). More and more evidence show that certain lifestyles can possibly be spread from person to person, leading some to propose considering social influence when establishing preventive policies. This study developed an innovative agent-based model of the diabetes epidemic for the Chinese population. Based on the risk factors and related complications of diabetes, the model captured individual health progression, quantitatively described the peer influence of certain lifestyles, and projected population health outcomes over a specific time period. We simulated several hypothetical interventions (i.e., improving diet, controlling smoking, improving physical activity) and assessed their impact on diabetes rates. We validated the model by comparing simulation results with external datasets. Our results showed that improving physical activity could result in the most significant decrease in diabetes prevalence compared to improving diet and controlling smoking. Our model can be used to inform policymakers on how the diabetes epidemic develops and help them compare different diabetes prevention programs in practice. |
format | Online Article Text |
id | pubmed-6572682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65726822019-06-18 Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach Luo, Linna Pang, Bowen Chen, Jian Li, Yan Xie, Xiaolei Int J Environ Res Public Health Article China’s diabetes epidemic is getting worse. People with diabetes in China usually have a lower body weight and a different lifestyle profile compared to their counterparts in the United States (US). More and more evidence show that certain lifestyles can possibly be spread from person to person, leading some to propose considering social influence when establishing preventive policies. This study developed an innovative agent-based model of the diabetes epidemic for the Chinese population. Based on the risk factors and related complications of diabetes, the model captured individual health progression, quantitatively described the peer influence of certain lifestyles, and projected population health outcomes over a specific time period. We simulated several hypothetical interventions (i.e., improving diet, controlling smoking, improving physical activity) and assessed their impact on diabetes rates. We validated the model by comparing simulation results with external datasets. Our results showed that improving physical activity could result in the most significant decrease in diabetes prevalence compared to improving diet and controlling smoking. Our model can be used to inform policymakers on how the diabetes epidemic develops and help them compare different diabetes prevention programs in practice. MDPI 2019-05-14 2019-05 /pmc/articles/PMC6572682/ /pubmed/31091690 http://dx.doi.org/10.3390/ijerph16101677 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Luo, Linna Pang, Bowen Chen, Jian Li, Yan Xie, Xiaolei Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach |
title | Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach |
title_full | Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach |
title_fullStr | Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach |
title_full_unstemmed | Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach |
title_short | Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach |
title_sort | assessing the impact of lifestyle interventions on diabetes prevention in china: a modeling approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572682/ https://www.ncbi.nlm.nih.gov/pubmed/31091690 http://dx.doi.org/10.3390/ijerph16101677 |
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