Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
R01 AG23522-01
NIA NIH HHS - United States
G0100222
Medical Research Council - United Kingdom
081081
Wellcome Trust - United Kingdom
064947
Wellcome Trust - United Kingdom
G0701830
Medical Research Council - United Kingdom
G0902037
Medical Research Council - United Kingdom
R01 AG023522
NIA NIH HHS - United States
G0601647
Medical Research Council - United Kingdom
RG/07/008/23674
British Heart Foundation - United Kingdom
G19/35
Medical Research Council - United Kingdom
G8802774
Medical Research Council - United Kingdom
G1000616
Medical Research Council - United Kingdom
Wellcome Trust - United Kingdom
PubMed
24227051
PubMed Central
PMC3963532
DOI
10.1136/jech-2013-203057
PII: jech-2013-203057
Knihovny.cz E-zdroje
- Klíčová slova
- Deprivation, Eastern Europe, Education, Inequalities, Mortality,
- MeSH
- bydlení MeSH
- disparity zdravotní péče MeSH
- disparity zdravotního stavu * MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- městské obyvatelstvo statistika a číselné údaje MeSH
- mortalita * MeSH
- příčina smrti MeSH
- proporcionální rizikové modely MeSH
- rizikové faktory MeSH
- senioři MeSH
- společenská třída * MeSH
- stupeň vzdělání MeSH
- zásobování potravinami MeSH
- zdravotnické přehledy MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
- Litva epidemiologie MeSH
- Polsko epidemiologie MeSH
- Rusko epidemiologie MeSH
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.
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