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Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model

BACKGROUND: Most countries are experiencing growth in the number and proportion of their ageing populations and this issue is posing challenges for economies and societies worldwide. The most populated country in the world, China, is experiencing a dramatic increase in its ageing population. As Chin...

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Autores principales: Han, Xiulan, Li, Junming, Wang, Nannan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902982/
https://www.ncbi.nlm.nih.gov/pubmed/29661176
http://dx.doi.org/10.1186/s12889-018-5417-6
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author Han, Xiulan
Li, Junming
Wang, Nannan
author_facet Han, Xiulan
Li, Junming
Wang, Nannan
author_sort Han, Xiulan
collection PubMed
description BACKGROUND: Most countries are experiencing growth in the number and proportion of their ageing populations and this issue is posing challenges for economies and societies worldwide. The most populated country in the world, China, is experiencing a dramatic increase in its ageing population. As China is the world’s largest developing country, its serious ageing issue may have far-reaching effects not only domestically but also in other countries and even globally. METHODS: In order to overcome the weaknesses of traditional statistical models and reveal further detail regarding the local area evolution, an improved Bayesian space-time model is presented in this paper and used to estimate the spatiotemporal evolution of Chinese ageing from 1992 to 2015. RESULTS: The six eastern provinces with high levels of ageing have been experiencing an almost steady state, while Jiangsu, Shanghai and Zhejiang have weak increased trends of ageing, and the weak increased trend is decreasing. Although the northern and western provinces belong to the low ageing area, five of them have strong local growth trends and therefore strong potential to exacerbate ageing. Under the background of the “comprehensive two children” policy, the forecast value of China’s ageing rate is 13.80% (95% CI:11.24%,18.83% is) in 2030. CONCLUSIONS: Considering developments over the past 24 years, it has been determined that the areas of the Chinese mainland that are experiencing the highest levels of growth in ageing populations are the two central provinces, which are connected to seven eastern provinces and five southwestern provinces. High ageing areas are not only concentrated in the eastern provinces, but also include Sichuan and Chongqing in the southwest region and Hubei and Hunan of the central region. The seven provinces (municipalities or autonomous regions) of the central and western regions have both high ageing levels and strong growth rates, but the growth rate is decreasing.
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spelling pubmed-59029822018-04-23 Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model Han, Xiulan Li, Junming Wang, Nannan BMC Public Health Research Article BACKGROUND: Most countries are experiencing growth in the number and proportion of their ageing populations and this issue is posing challenges for economies and societies worldwide. The most populated country in the world, China, is experiencing a dramatic increase in its ageing population. As China is the world’s largest developing country, its serious ageing issue may have far-reaching effects not only domestically but also in other countries and even globally. METHODS: In order to overcome the weaknesses of traditional statistical models and reveal further detail regarding the local area evolution, an improved Bayesian space-time model is presented in this paper and used to estimate the spatiotemporal evolution of Chinese ageing from 1992 to 2015. RESULTS: The six eastern provinces with high levels of ageing have been experiencing an almost steady state, while Jiangsu, Shanghai and Zhejiang have weak increased trends of ageing, and the weak increased trend is decreasing. Although the northern and western provinces belong to the low ageing area, five of them have strong local growth trends and therefore strong potential to exacerbate ageing. Under the background of the “comprehensive two children” policy, the forecast value of China’s ageing rate is 13.80% (95% CI:11.24%,18.83% is) in 2030. CONCLUSIONS: Considering developments over the past 24 years, it has been determined that the areas of the Chinese mainland that are experiencing the highest levels of growth in ageing populations are the two central provinces, which are connected to seven eastern provinces and five southwestern provinces. High ageing areas are not only concentrated in the eastern provinces, but also include Sichuan and Chongqing in the southwest region and Hubei and Hunan of the central region. The seven provinces (municipalities or autonomous regions) of the central and western regions have both high ageing levels and strong growth rates, but the growth rate is decreasing. BioMed Central 2018-04-16 /pmc/articles/PMC5902982/ /pubmed/29661176 http://dx.doi.org/10.1186/s12889-018-5417-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Han, Xiulan
Li, Junming
Wang, Nannan
Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model
title Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model
title_full Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model
title_fullStr Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model
title_full_unstemmed Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model
title_short Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model
title_sort spatiotemporal evolution of chinese ageing from 1992 to 2015 based on an improved bayesian space-time model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902982/
https://www.ncbi.nlm.nih.gov/pubmed/29661176
http://dx.doi.org/10.1186/s12889-018-5417-6
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