Contrasts in alcohol-related mortality in Czechia and Lithuania: Analysis of time trends and educational differences
Jazyk angličtina Země Austrálie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
19-23183Y
Grantová Agentura České Republiky - International
PubMed
32909686
PubMed Central
PMC7756221
DOI
10.1111/dar.13157
Knihovny.cz E-zdroje
- Klíčová slova
- Czech Republic, Eastern Europe, Lithuania, alcohol-related disorders, differential mortality, educational achievement, social determinants of health,
- MeSH
- lidé MeSH
- pití alkoholu * mortalita MeSH
- příčina smrti MeSH
- stupeň vzdělání * MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
- Litva epidemiologie MeSH
INTRODUCTION AND AIMS: Globally, Czechia and Lithuania are among the top-ranking countries in terms of high alcohol consumption. This study highlights notable contrasts in temporal trends in alcohol-related mortality and identifies country-specific patterns in educational differences. DESIGN AND METHODS: The study uses harmonised cause-of-death series from the Human Cause of Death Database. Mortality disparities by education were assessed using census-linked mortality data. Directly standardised death rates were used to estimate levels of national and group-specific mortality. Relative and absolute mortality differences by education were assessed by range-type measures (Poisson regression mortality ratios and rate differences) and Gini-type measures. RESULTS: Between 1994-1995 and 2016, the absolute difference between Czechia and Lithuania in terms of alcohol-related age-standardised death rates (per 1 000 000) decreased from 450 for males and 130 for females to 76 in males and 11 in females. In both countries, alcohol-related mortality was markedly higher among persons of lower education levels. Lithuanian males experienced the highest absolute inequalities measured by rate difference between the low and high educated (740 per million), while Lithuanian females showed the most pronounced relative inequalities (6.70-fold difference between low and high educated). The corresponding figures were less than half for Czechia. DISCUSSION AND CONCLUSIONS: Reducing educational disparities in alcohol-related mortality within both countries would have a substantial impact on overall levels. Policies aimed at targeting the lowest priced and illegal alcohols and reducing levels of harmful drinking should be a priority, especially in Lithuania.
Demographic Research Centre Faculty of Social Sciences Vytautas Magnus University Kaunas Lithuania
Laboratory of Demographic Data Max Planck Institute for Demographic Research Rostock Germany
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