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System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance
Objectives: To simulate the growth trend of diabetes mellitus in Chinese population. Methods: The system dynamic modeling methodology was used to establish a population prediction model of diabetes with or without cardiovascular diseases. Lifestyle therapy and the use of metformin, acarbose, and vog...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691669/ https://www.ncbi.nlm.nih.gov/pubmed/36439277 http://dx.doi.org/10.3389/ijph.2022.1605064 |
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author | Li, Hao Chang, Guo-Ying Jiang, Yi-Hong Xu, Li Shen, Long Gu, Zhi-Chun Lin, Hou-Wen Shi, Fang-Hong |
author_facet | Li, Hao Chang, Guo-Ying Jiang, Yi-Hong Xu, Li Shen, Long Gu, Zhi-Chun Lin, Hou-Wen Shi, Fang-Hong |
author_sort | Li, Hao |
collection | PubMed |
description | Objectives: To simulate the growth trend of diabetes mellitus in Chinese population. Methods: The system dynamic modeling methodology was used to establish a population prediction model of diabetes with or without cardiovascular diseases. Lifestyle therapy and the use of metformin, acarbose, and voglibose were assumed to be intervention strategy. The outcomes will be examined at 5, 15, and 30 years after 2020. Results: The projected number of diabetic population in China would increase rapidly from 141.65 million in 2020 to 202.84 million in 2050. Diabetic patients with cardiovascular disease would rapidly increase from 65.58 million in 2020 to 122.88 million by 2050. The annual cost for the entire population with diabetes mellitus in China would reach 182.55 billion by 2050. When the treatment of cardiovascular disease was considered, expenditure was 1.5–2.5-fold higher. Lifestyle therapy and the use of metformin, acarbose and voglibose could effectively slow the growth of the diabetic population. Conclusion: The diabetic population in China is expected to increase rapidly, and diabetic patients with cardiovascular disease will increase greatly. Interventions could delay it. |
format | Online Article Text |
id | pubmed-9691669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96916692022-11-26 System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance Li, Hao Chang, Guo-Ying Jiang, Yi-Hong Xu, Li Shen, Long Gu, Zhi-Chun Lin, Hou-Wen Shi, Fang-Hong Int J Public Health Public Health Archive Objectives: To simulate the growth trend of diabetes mellitus in Chinese population. Methods: The system dynamic modeling methodology was used to establish a population prediction model of diabetes with or without cardiovascular diseases. Lifestyle therapy and the use of metformin, acarbose, and voglibose were assumed to be intervention strategy. The outcomes will be examined at 5, 15, and 30 years after 2020. Results: The projected number of diabetic population in China would increase rapidly from 141.65 million in 2020 to 202.84 million in 2050. Diabetic patients with cardiovascular disease would rapidly increase from 65.58 million in 2020 to 122.88 million by 2050. The annual cost for the entire population with diabetes mellitus in China would reach 182.55 billion by 2050. When the treatment of cardiovascular disease was considered, expenditure was 1.5–2.5-fold higher. Lifestyle therapy and the use of metformin, acarbose and voglibose could effectively slow the growth of the diabetic population. Conclusion: The diabetic population in China is expected to increase rapidly, and diabetic patients with cardiovascular disease will increase greatly. Interventions could delay it. Frontiers Media S.A. 2022-11-11 /pmc/articles/PMC9691669/ /pubmed/36439277 http://dx.doi.org/10.3389/ijph.2022.1605064 Text en Copyright © 2022 Li, Chang, Jiang, Xu, Shen, Gu, Lin and Shi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Archive Li, Hao Chang, Guo-Ying Jiang, Yi-Hong Xu, Li Shen, Long Gu, Zhi-Chun Lin, Hou-Wen Shi, Fang-Hong System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance |
title | System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance |
title_full | System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance |
title_fullStr | System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance |
title_full_unstemmed | System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance |
title_short | System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance |
title_sort | system dynamic model simulates the growth trend of diabetes mellitus in chinese population: implications for future urban public health governance |
topic | Public Health Archive |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691669/ https://www.ncbi.nlm.nih.gov/pubmed/36439277 http://dx.doi.org/10.3389/ijph.2022.1605064 |
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