Spatiotemporal evolution of global population ageing from 1960 to 2017.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
30 Jan 2019
Historique:
received: 21 11 2018
accepted: 21 01 2019
entrez: 1 2 2019
pubmed: 1 2 2019
medline: 26 4 2019
Statut: epublish

Résumé

Population ageing is an increasingly severe global issue. And this has been posing challenges for public health policies and medical resource allocation There are various features of population ageing in different regions worldwide. All data were obtained from the health data of World Bank Open Data. Quantile linear regression was used to subtly measure the common variation tendency and strength of the global ageing rate and ageing population. The Bayesian space-time hierarchy model (BSTHM) was employed to assess the detailed spatial temporal evolution of ageing rate and ageing population in global 195 countries and regions. Annual growth of the ageing (65 and above) rate occurred on six continents: Europe (0.1532%), Oceania (0.0873%), Asia (0.0834%), South America (0.0723%), North America (0.0673%) and Africa (0.0069%). The coefficient of variation of the global ageing rate increased from 0.54 in 1960 to 0.69 in 2017. The global ageing rate and ageing population increased over this period, correlating positively with their quantiles. Most countries (37/39) in Europe belong to the top level with regard to the ageing rate, including the countries with the greatest degree of ageing-Sweden, Germany, Austria, Belgium and the UK-whose spatial relative risks of ageing are 3.180 (3.113-3.214), 3.071 (3.018-3.122), 2.951 (2.903-3.001), 2.932 (2.880-2.984) and 2.917 (2.869-2.967), respectively. Worldwide, 44 low ageing areas which were distributed mainly in Africa (26 areas) and Asia (15 areas) experienced a decreasing trend of ageing rates. The local trends of ageing population in the 195 areas increased. The differentiation of global population ageing is becoming increasingly serious. Globally, all 195 areas showed an increasing local ageing trend in absolute terms, although there were 44 low-ageing areas that experienced a decreasing local trend of ageing rate. The statistical results may provide some baseline reference for developing public health policies in various countries or regions, especially in less-developed areas.

Sections du résumé

BACKGROUND BACKGROUND
Population ageing is an increasingly severe global issue. And this has been posing challenges for public health policies and medical resource allocation There are various features of population ageing in different regions worldwide.
METHODS METHODS
All data were obtained from the health data of World Bank Open Data. Quantile linear regression was used to subtly measure the common variation tendency and strength of the global ageing rate and ageing population. The Bayesian space-time hierarchy model (BSTHM) was employed to assess the detailed spatial temporal evolution of ageing rate and ageing population in global 195 countries and regions.
RESULTS RESULTS
Annual growth of the ageing (65 and above) rate occurred on six continents: Europe (0.1532%), Oceania (0.0873%), Asia (0.0834%), South America (0.0723%), North America (0.0673%) and Africa (0.0069%). The coefficient of variation of the global ageing rate increased from 0.54 in 1960 to 0.69 in 2017. The global ageing rate and ageing population increased over this period, correlating positively with their quantiles. Most countries (37/39) in Europe belong to the top level with regard to the ageing rate, including the countries with the greatest degree of ageing-Sweden, Germany, Austria, Belgium and the UK-whose spatial relative risks of ageing are 3.180 (3.113-3.214), 3.071 (3.018-3.122), 2.951 (2.903-3.001), 2.932 (2.880-2.984) and 2.917 (2.869-2.967), respectively. Worldwide, 44 low ageing areas which were distributed mainly in Africa (26 areas) and Asia (15 areas) experienced a decreasing trend of ageing rates. The local trends of ageing population in the 195 areas increased.
CONCLUSIONS CONCLUSIONS
The differentiation of global population ageing is becoming increasingly serious. Globally, all 195 areas showed an increasing local ageing trend in absolute terms, although there were 44 low-ageing areas that experienced a decreasing local trend of ageing rate. The statistical results may provide some baseline reference for developing public health policies in various countries or regions, especially in less-developed areas.

Identifiants

pubmed: 30700286
doi: 10.1186/s12889-019-6465-2
pii: 10.1186/s12889-019-6465-2
pmc: PMC6354390
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127

Subventions

Organisme : National Social Science Fund of China
ID : 15BTJ012

Références

Soc Sci Med. 2000 Sep;51(6):887-95
pubmed: 10972432
Int J Epidemiol. 2002 Aug;31(4):776-81
pubmed: 12177018
Milbank Q. 2005;83(4):731-57
pubmed: 16279965
Lancet. 2007 Dec 8;370(9603):1929-38
pubmed: 18063029
Nature. 2008 Feb 7;451(7179):716-9
pubmed: 18204438
Lancet. 2008 Dec 20;372(9656):2124-31
pubmed: 19010526
Lancet. 2009 Oct 3;374(9696):1196-208
pubmed: 19801098
Res Aging. 1990 Sep;12(3):251-93
pubmed: 2236894
Curr Biol. 2012 Sep 11;22(17):R741-52
pubmed: 22975005
Lancet. 2014 Mar 8;383(9920):870
pubmed: 24607099
Lancet Public Health. 2017 May 23;2(7):e307-e313
pubmed: 28736759
BMC Public Health. 2018 Apr 16;18(1):502
pubmed: 29661176
Nature. 2018 Sep;561(7721):45-56
pubmed: 30185958
Stat Med. 1995 Nov 15-30;14(21-22):2433-43
pubmed: 8711279

Auteurs

Junming Li (J)

School of Statistics, Shanxi University of Finance and Economics, 696 Wucheng Road, Taiyuan City, 030006, Shanxi Province, China. Lijm@sxufe.edu.cn.

Xiulan Han (X)

School of Statistics, Shanxi University of Finance and Economics, 696 Wucheng Road, Taiyuan City, 030006, Shanxi Province, China. Hanxlsx@163.com.

Xiangxue Zhang (X)

School of Earth Science and Resources, Chang'an University, Middle-section of Nan'er Huan Road, Xi'an City, 710064, Shaanxi Province, China.

Sixian Wang (S)

School of Statistics, Shanxi University of Finance and Economics, 696 Wucheng Road, Taiyuan City, 030006, Shanxi Province, China.

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Classifications MeSH