This study found that 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…

Author

Markéta Pechholdová and Domantas Jasilionis

Citation

Pechholdová M, Jasilionis D. Contrasts in alcohol-related mortality in Czechia and Lithuania: Analysis of time trends and educational differences [published online ahead of print, 2020 Sep 10]. Drug Alcohol Rev. 2020;10.1111/dar.13157. doi:10.1111/dar.13157


Source
Drug and Alcohol Review
Release date
10/09/2020

Research article

Contrasts in Alcohol-Related Mortality in Czechia and Lithuania: Analysis of Time Trends and Educational Differences

Abstract

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.


Source Website: NIH