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Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study
Background: Forecasting the disease burden of the elderly will contribute to make a comprehensive assessment about physical and mental status of the elderly in China and provide a basis for reducing the negative consequences of aging society to a minimum. Methods: This study collected data from a pu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515648/ https://www.ncbi.nlm.nih.gov/pubmed/26121188 http://dx.doi.org/10.3390/ijerph120707172 |
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author | Bao, Chengzhen Mayila, Mamat Ye, Zhenhua Wang, Jianbing Jin, Mingjuan He, Wenjiong Chen, Kun |
author_facet | Bao, Chengzhen Mayila, Mamat Ye, Zhenhua Wang, Jianbing Jin, Mingjuan He, Wenjiong Chen, Kun |
author_sort | Bao, Chengzhen |
collection | PubMed |
description | Background: Forecasting the disease burden of the elderly will contribute to make a comprehensive assessment about physical and mental status of the elderly in China and provide a basis for reducing the negative consequences of aging society to a minimum. Methods: This study collected data from a public database online provided by Global Burden of Disease Study 2010. Grey model GM (1, 1) was used to forecast all-cause and disease-specific rates of disability adjusted life years (DALYs) in 2015 and 2020. Results: After cross-sectional and longitudinal analysis, we found that non-communicable diseases (NCDs) were still the greatest threats in the elderly, followed by injuries. As for 136 predicted causes, more than half of NCDs increased obviously with age, less than a quarter of communicable, material, neonatal, and nutritional disorders or injuries had uptrend. Conclusions: The findings display the health condition of the Chinese elderly in the future, which will provide critical information for scientific and sociological researches on preventing and reducing the risks of aging society. |
format | Online Article Text |
id | pubmed-4515648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-45156482015-07-28 Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study Bao, Chengzhen Mayila, Mamat Ye, Zhenhua Wang, Jianbing Jin, Mingjuan He, Wenjiong Chen, Kun Int J Environ Res Public Health Article Background: Forecasting the disease burden of the elderly will contribute to make a comprehensive assessment about physical and mental status of the elderly in China and provide a basis for reducing the negative consequences of aging society to a minimum. Methods: This study collected data from a public database online provided by Global Burden of Disease Study 2010. Grey model GM (1, 1) was used to forecast all-cause and disease-specific rates of disability adjusted life years (DALYs) in 2015 and 2020. Results: After cross-sectional and longitudinal analysis, we found that non-communicable diseases (NCDs) were still the greatest threats in the elderly, followed by injuries. As for 136 predicted causes, more than half of NCDs increased obviously with age, less than a quarter of communicable, material, neonatal, and nutritional disorders or injuries had uptrend. Conclusions: The findings display the health condition of the Chinese elderly in the future, which will provide critical information for scientific and sociological researches on preventing and reducing the risks of aging society. MDPI 2015-06-25 2015-07 /pmc/articles/PMC4515648/ /pubmed/26121188 http://dx.doi.org/10.3390/ijerph120707172 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bao, Chengzhen Mayila, Mamat Ye, Zhenhua Wang, Jianbing Jin, Mingjuan He, Wenjiong Chen, Kun Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study |
title | Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study |
title_full | Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study |
title_fullStr | Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study |
title_full_unstemmed | Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study |
title_short | Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study |
title_sort | forecasting and analyzing the disease burden of aged population in china, based on the 2010 global burden of disease study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4515648/ https://www.ncbi.nlm.nih.gov/pubmed/26121188 http://dx.doi.org/10.3390/ijerph120707172 |
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