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How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations

BACKGROUND: Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoki...

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Autores principales: Eikemo, Terje A., Hoffmann, Rasmus, Kulik, Margarete C., Kulhánová, Ivana, Toch-Marquardt, Marlen, Menvielle, Gwenn, Looman, Caspar, Jasilionis, Domantas, Martikainen, Pekka, Lundberg, Olle, Mackenbach, Johan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219687/
https://www.ncbi.nlm.nih.gov/pubmed/25369287
http://dx.doi.org/10.1371/journal.pone.0110952
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author Eikemo, Terje A.
Hoffmann, Rasmus
Kulik, Margarete C.
Kulhánová, Ivana
Toch-Marquardt, Marlen
Menvielle, Gwenn
Looman, Caspar
Jasilionis, Domantas
Martikainen, Pekka
Lundberg, Olle
Mackenbach, Johan P.
author_facet Eikemo, Terje A.
Hoffmann, Rasmus
Kulik, Margarete C.
Kulhánová, Ivana
Toch-Marquardt, Marlen
Menvielle, Gwenn
Looman, Caspar
Jasilionis, Domantas
Martikainen, Pekka
Lundberg, Olle
Mackenbach, Johan P.
author_sort Eikemo, Terje A.
collection PubMed
description BACKGROUND: Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity. METHODS: We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor. FINDINGS: In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity. INTERPRETATION: Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk factors suggests that this is feasible.
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spelling pubmed-42196872014-11-12 How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations Eikemo, Terje A. Hoffmann, Rasmus Kulik, Margarete C. Kulhánová, Ivana Toch-Marquardt, Marlen Menvielle, Gwenn Looman, Caspar Jasilionis, Domantas Martikainen, Pekka Lundberg, Olle Mackenbach, Johan P. PLoS One Research Article BACKGROUND: Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity. METHODS: We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor. FINDINGS: In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity. INTERPRETATION: Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk factors suggests that this is feasible. Public Library of Science 2014-11-04 /pmc/articles/PMC4219687/ /pubmed/25369287 http://dx.doi.org/10.1371/journal.pone.0110952 Text en © 2014 Eikemo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Eikemo, Terje A.
Hoffmann, Rasmus
Kulik, Margarete C.
Kulhánová, Ivana
Toch-Marquardt, Marlen
Menvielle, Gwenn
Looman, Caspar
Jasilionis, Domantas
Martikainen, Pekka
Lundberg, Olle
Mackenbach, Johan P.
How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations
title How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations
title_full How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations
title_fullStr How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations
title_full_unstemmed How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations
title_short How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations
title_sort how can inequalities in mortality be reduced? a quantitative analysis of 6 risk factors in 21 european populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219687/
https://www.ncbi.nlm.nih.gov/pubmed/25369287
http://dx.doi.org/10.1371/journal.pone.0110952
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