Cargando…
Detecting spatio-temporal mortality clusters of European countries by sex and age
BACKGROUND: Mortality decreased in European Union (EU) countries during the last century. Despite these similar trends, there are still considerable differences in the levels of mortality between Eastern and Western European countries. Sub-group analysis of mortality in Europe for different age and...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870117/ https://www.ncbi.nlm.nih.gov/pubmed/29587774 http://dx.doi.org/10.1186/s12939-018-0750-z |
_version_ | 1783309414494633984 |
---|---|
author | Carracedo, Patricia Debón, Ana Iftimi, Adina Montes, Francisco |
author_facet | Carracedo, Patricia Debón, Ana Iftimi, Adina Montes, Francisco |
author_sort | Carracedo, Patricia |
collection | PubMed |
description | BACKGROUND: Mortality decreased in European Union (EU) countries during the last century. Despite these similar trends, there are still considerable differences in the levels of mortality between Eastern and Western European countries. Sub-group analysis of mortality in Europe for different age and sex groups is common, however to our knowledge a spatio-temporal methodology as in this study has not been applied to detect significant spatial dependence and interaction with time. Thus, the objective of this paper is to quantify the dynamics of mortality in Europe and detect significant clusters of mortality between European countries, applying spatio-temporal methodology. In addition, the joint evolution between the mortality of European countries and their neighbours over time was studied. METHODS: The spatio-temporal methodology used in this study takes into account two factors: time and the geographical location of countries and, consequently, the neighbourhood relationships between them. This methodology was applied to 26 European countries for the period 1990-2012. RESULTS: Principally, for people older than 64 years two significant clusters were obtained: one of high mortality formed by Eastern European countries and the other of low mortality composed of Western countries. In contrast, for ages below or equal to 64 years only the significant cluster of high mortality formed by Eastern European countries was observed. In addition, the joint evolution between the 26 European countries and their neighbours during the period 1990-2012 was confirmed. For this reason, it can be said that mortality in EU not only depends on differences in the health systems, which are a subject to national discretion, but also on supra-national developments. CONCLUSIONS: This paper proposes statistical tools which provide a clear framework for the successful implementation of development public policies to help the UE meet the challenge of rethinking its social model (Social Security and health care) and make it sustainable in the medium term. |
format | Online Article Text |
id | pubmed-5870117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58701172018-03-29 Detecting spatio-temporal mortality clusters of European countries by sex and age Carracedo, Patricia Debón, Ana Iftimi, Adina Montes, Francisco Int J Equity Health Research BACKGROUND: Mortality decreased in European Union (EU) countries during the last century. Despite these similar trends, there are still considerable differences in the levels of mortality between Eastern and Western European countries. Sub-group analysis of mortality in Europe for different age and sex groups is common, however to our knowledge a spatio-temporal methodology as in this study has not been applied to detect significant spatial dependence and interaction with time. Thus, the objective of this paper is to quantify the dynamics of mortality in Europe and detect significant clusters of mortality between European countries, applying spatio-temporal methodology. In addition, the joint evolution between the mortality of European countries and their neighbours over time was studied. METHODS: The spatio-temporal methodology used in this study takes into account two factors: time and the geographical location of countries and, consequently, the neighbourhood relationships between them. This methodology was applied to 26 European countries for the period 1990-2012. RESULTS: Principally, for people older than 64 years two significant clusters were obtained: one of high mortality formed by Eastern European countries and the other of low mortality composed of Western countries. In contrast, for ages below or equal to 64 years only the significant cluster of high mortality formed by Eastern European countries was observed. In addition, the joint evolution between the 26 European countries and their neighbours during the period 1990-2012 was confirmed. For this reason, it can be said that mortality in EU not only depends on differences in the health systems, which are a subject to national discretion, but also on supra-national developments. CONCLUSIONS: This paper proposes statistical tools which provide a clear framework for the successful implementation of development public policies to help the UE meet the challenge of rethinking its social model (Social Security and health care) and make it sustainable in the medium term. BioMed Central 2018-03-27 /pmc/articles/PMC5870117/ /pubmed/29587774 http://dx.doi.org/10.1186/s12939-018-0750-z Text en © The Author(s) 2018 Open Access This 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 Carracedo, Patricia Debón, Ana Iftimi, Adina Montes, Francisco Detecting spatio-temporal mortality clusters of European countries by sex and age |
title | Detecting spatio-temporal mortality clusters of European countries by sex and age |
title_full | Detecting spatio-temporal mortality clusters of European countries by sex and age |
title_fullStr | Detecting spatio-temporal mortality clusters of European countries by sex and age |
title_full_unstemmed | Detecting spatio-temporal mortality clusters of European countries by sex and age |
title_short | Detecting spatio-temporal mortality clusters of European countries by sex and age |
title_sort | detecting spatio-temporal mortality clusters of european countries by sex and age |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870117/ https://www.ncbi.nlm.nih.gov/pubmed/29587774 http://dx.doi.org/10.1186/s12939-018-0750-z |
work_keys_str_mv | AT carracedopatricia detectingspatiotemporalmortalityclustersofeuropeancountriesbysexandage AT debonana detectingspatiotemporalmortalityclustersofeuropeancountriesbysexandage AT iftimiadina detectingspatiotemporalmortalityclustersofeuropeancountriesbysexandage AT montesfrancisco detectingspatiotemporalmortalityclustersofeuropeancountriesbysexandage |