Cargando…

Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study

BACKGROUND: Relatively large socioeconomic inequalities in health and mortality have been observed in Central and Eastern Europe (CEE) and the former Soviet Union (FSU). Yet comparative data are sparse and virtually all studies include only education. The aim of this study is to quantify and compare...

Descripción completa

Detalles Bibliográficos
Autores principales: Vandenheede, Hadewijch, Vikhireva, Olga, Pikhart, Hynek, Kubinova, Ruzena, Malyutina, Sofia, Pajak, Andrzej, Tamosiunas, Abdonas, Peasey, Anne, Simonova, Galina, Topor-Madry, Roman, Marmot, Michael, Bobak, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963532/
https://www.ncbi.nlm.nih.gov/pubmed/24227051
http://dx.doi.org/10.1136/jech-2013-203057
_version_ 1782308517893373952
author Vandenheede, Hadewijch
Vikhireva, Olga
Pikhart, Hynek
Kubinova, Ruzena
Malyutina, Sofia
Pajak, Andrzej
Tamosiunas, Abdonas
Peasey, Anne
Simonova, Galina
Topor-Madry, Roman
Marmot, Michael
Bobak, Martin
author_facet Vandenheede, Hadewijch
Vikhireva, Olga
Pikhart, Hynek
Kubinova, Ruzena
Malyutina, Sofia
Pajak, Andrzej
Tamosiunas, Abdonas
Peasey, Anne
Simonova, Galina
Topor-Madry, Roman
Marmot, Michael
Bobak, Martin
author_sort Vandenheede, Hadewijch
collection PubMed
description BACKGROUND: Relatively large socioeconomic inequalities in health and mortality have been observed in Central and Eastern Europe (CEE) and the former Soviet Union (FSU). Yet comparative data are sparse and virtually all studies include only education. The aim of this study is to quantify and compare socioeconomic inequalities in all-cause mortality during the 2000s in urban population samples from four CEE/FSU countries, by three different measures of socioeconomic position (SEP) (education, difficulty buying food and household amenities), reflecting different aspects of SEP. METHODS: Data from the prospective population-based HAPIEE (Health, Alcohol, and Psychosocial factors in Eastern Europe) study were used. The baseline survey (2002–2005) included 16 812 men and 19 180 women aged 45–69 years in Novosibirsk (Russia), Krakow (Poland), Kaunas (Lithuania) and seven Czech towns. Deaths in the cohorts were identified through mortality registers. Data were analysed by direct standardisation and Cox regression, quantifying absolute and relative SEP differences. RESULTS: Mortality inequalities by the three SEP indicators were observed in all samples. The magnitude of inequalities varied according to gender, country and SEP measure. As expected, given the high mortality rates in Russian men, largest absolute inequalities were found among Russian men (educational slope index of inequality was 19.4 per 1000 person-years). Largest relative inequalities were observed in Czech men and Lithuanian subjects. Disadvantage by all three SEP measures remained strongly associated with increased mortality after adjusting for the other SEP indicators. CONCLUSIONS: The results emphasise the importance of all SEP measures for understanding mortality inequalities in CEE/FSU.
format Online
Article
Text
id pubmed-3963532
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-39635322014-03-27 Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study Vandenheede, Hadewijch Vikhireva, Olga Pikhart, Hynek Kubinova, Ruzena Malyutina, Sofia Pajak, Andrzej Tamosiunas, Abdonas Peasey, Anne Simonova, Galina Topor-Madry, Roman Marmot, Michael Bobak, Martin J Epidemiol Community Health Research Report BACKGROUND: Relatively large socioeconomic inequalities in health and mortality have been observed in Central and Eastern Europe (CEE) and the former Soviet Union (FSU). Yet comparative data are sparse and virtually all studies include only education. The aim of this study is to quantify and compare socioeconomic inequalities in all-cause mortality during the 2000s in urban population samples from four CEE/FSU countries, by three different measures of socioeconomic position (SEP) (education, difficulty buying food and household amenities), reflecting different aspects of SEP. METHODS: Data from the prospective population-based HAPIEE (Health, Alcohol, and Psychosocial factors in Eastern Europe) study were used. The baseline survey (2002–2005) included 16 812 men and 19 180 women aged 45–69 years in Novosibirsk (Russia), Krakow (Poland), Kaunas (Lithuania) and seven Czech towns. Deaths in the cohorts were identified through mortality registers. Data were analysed by direct standardisation and Cox regression, quantifying absolute and relative SEP differences. RESULTS: Mortality inequalities by the three SEP indicators were observed in all samples. The magnitude of inequalities varied according to gender, country and SEP measure. As expected, given the high mortality rates in Russian men, largest absolute inequalities were found among Russian men (educational slope index of inequality was 19.4 per 1000 person-years). Largest relative inequalities were observed in Czech men and Lithuanian subjects. Disadvantage by all three SEP measures remained strongly associated with increased mortality after adjusting for the other SEP indicators. CONCLUSIONS: The results emphasise the importance of all SEP measures for understanding mortality inequalities in CEE/FSU. BMJ Publishing Group 2014-04 2013-11-13 /pmc/articles/PMC3963532/ /pubmed/24227051 http://dx.doi.org/10.1136/jech-2013-203057 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Research Report
Vandenheede, Hadewijch
Vikhireva, Olga
Pikhart, Hynek
Kubinova, Ruzena
Malyutina, Sofia
Pajak, Andrzej
Tamosiunas, Abdonas
Peasey, Anne
Simonova, Galina
Topor-Madry, Roman
Marmot, Michael
Bobak, Martin
Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study
title Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study
title_full Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study
title_fullStr Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study
title_full_unstemmed Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study
title_short Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study
title_sort socioeconomic inequalities in all-cause mortality in the czech republic, russia, poland and lithuania in the 2000s: findings from the hapiee study
topic Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963532/
https://www.ncbi.nlm.nih.gov/pubmed/24227051
http://dx.doi.org/10.1136/jech-2013-203057
work_keys_str_mv AT vandenheedehadewijch socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT vikhirevaolga socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT pikharthynek socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT kubinovaruzena socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT malyutinasofia socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT pajakandrzej socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT tamosiunasabdonas socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT peaseyanne socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT simonovagalina socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT topormadryroman socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT marmotmichael socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy
AT bobakmartin socioeconomicinequalitiesinallcausemortalityintheczechrepublicrussiapolandandlithuaniainthe2000sfindingsfromthehapieestudy