Skip to main content
Top
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Research

Trends of alcohol-attributable deaths in Lithuania 2001–2021: epidemiology and policy conclusions

Authors: Jürgen Rehm, Pol Rovira, Huan Jiang, Shannon Lange, Kevin D. Shield, Alexander Tran, Mindaugas Štelemėkas

Published in: BMC Public Health | Issue 1/2024

Login to get access

Abstract

Background

Lithuania, a Baltic country in the European Union, can be characterized by high alcohol consumption and attributable burden. The aim of this contribution is to estimate the mortality burden due to alcohol use for the past two decades based on different relative risk functions, identify trends, and analyse the associations of alcohol-attributable burden with alcohol control policies and life expectancy.

Methods

The standard methodology used by the World Health Organization for estimating alcohol-attributable mortality was employed to generate mortality rates for alcohol-attributable mortality, standardized for Lithuania’s 2021 population distribution. Joinpoint analysis, T-tests, correlations, and regression analyses including meta-regressions were used to describe trends and associations.

Results

Age-standardized alcohol-attributable mortality was high in Lithuania during the two decades between 2001 and 2021, irrespective of which relative risks were used for the estimates. Overall, there was a downward trend, mainly in males, which was associated with four years of intensive implementation of alcohol control policies in 2008, 2009, 2017, and 2018. For the remaining years, the rates of alcohol-attributable mortality were stagnant. Among males, the correlations between alcohol-attributable mortality and life expectancy were 0.90 and 0.76 for Russian and global relative risks respectively, and regression analyses indicated a significant association between changes in alcohol-attributable mortality and life expectancy, after controlling for gross domestic product.

Conclusions

Male mortality and life expectancy in Lithuania were closely linked to alcohol-attributable mortality and markedly associated with strong alcohol control policies. Further implementation of such policies is predicted to lead to further improvements in life expectancy.
Appendix
Available only for authorised users
Literature
2.
go back to reference Shield KD, Rylett M, Rehm J. Public health successes and missed opportunities. Trends in alcohol consumption and attributable mortality in the WHO European Region, 1990–2014. Copenhagen, Denmark: WHO European Region; 2016. Shield KD, Rylett M, Rehm J. Public health successes and missed opportunities. Trends in alcohol consumption and attributable mortality in the WHO European Region, 1990–2014. Copenhagen, Denmark: WHO European Region; 2016.
9.
go back to reference Zaridze D, Lewington S, Boroda A, Scélo G, Karpov R, Lazarev A, et al. Alcohol and mortality in Russia: prospective observational study of 151 000 adults. Lancet. 2014;383(9927):1465–73.CrossRefPubMedPubMedCentral Zaridze D, Lewington S, Boroda A, Scélo G, Karpov R, Lazarev A, et al. Alcohol and mortality in Russia: prospective observational study of 151 000 adults. Lancet. 2014;383(9927):1465–73.CrossRefPubMedPubMedCentral
15.
go back to reference Shkolnikov VM, Leon DA, Danilova I. A changeable relation between Alcohol and Life Expectancy in Russia. J Stud Alcohol Drugs. 2019;80(5):501–2.CrossRefPubMed Shkolnikov VM, Leon DA, Danilova I. A changeable relation between Alcohol and Life Expectancy in Russia. J Stud Alcohol Drugs. 2019;80(5):501–2.CrossRefPubMed
18.
go back to reference Rehm J, Gmel Sr GE, Gmel G, Hasan OS, Imtiaz S, Popova S, et al. The relationship between different dimensions of alcohol use and the burden of disease—an update. Addiction. 2017;112(6):968–1001doi.CrossRefPubMedPubMedCentral Rehm J, Gmel Sr GE, Gmel G, Hasan OS, Imtiaz S, Popova S, et al. The relationship between different dimensions of alcohol use and the burden of disease—an update. Addiction. 2017;112(6):968–1001doi.CrossRefPubMedPubMedCentral
29.
go back to reference Rehm J, Kilian C, Rovira P, Shield KD, Manthey J. The elusiveness of representativeness in general population surveys for alcohol. Drug Alcohol Rev. 2021;40(2):161–5.CrossRefPubMed Rehm J, Kilian C, Rovira P, Shield KD, Manthey J. The elusiveness of representativeness in general population surveys for alcohol. Drug Alcohol Rev. 2021;40(2):161–5.CrossRefPubMed
30.
go back to reference Livingston M, Callinan S. Underreporting in alcohol surveys: whose drinking is underestimated? J Stud Alcohol Drug. 2015;76(1):158–64doi.CrossRef Livingston M, Callinan S. Underreporting in alcohol surveys: whose drinking is underestimated? J Stud Alcohol Drug. 2015;76(1):158–64doi.CrossRef
31.
go back to reference Stockwell T, Zhao J, Sherk A, Rehm J, Shield K, Naimi T. Underestimation of alcohol consumption in cohort studies and implications for alcohol’s contribution to the global burden of disease. Addiction. 2018;113(12):2245–9.CrossRefPubMed Stockwell T, Zhao J, Sherk A, Rehm J, Shield K, Naimi T. Underestimation of alcohol consumption in cohort studies and implications for alcohol’s contribution to the global burden of disease. Addiction. 2018;113(12):2245–9.CrossRefPubMed
32.
go back to reference Poznyak V, Fleischmann A, Rekve D, Rylett M, Rehm J, Gmel G. The World Health Organization’s global monitoring system on alcohol and health. Alcohol Res. 2013;35(2):244–9.PubMed Poznyak V, Fleischmann A, Rekve D, Rylett M, Rehm J, Gmel G. The World Health Organization’s global monitoring system on alcohol and health. Alcohol Res. 2013;35(2):244–9.PubMed
33.
go back to reference World Health Organization. Report on the progress of attaining SDG target 3.5. Geneva. Switzerland: World Health Organization; 2024. (in press). World Health Organization. Report on the progress of attaining SDG target 3.5. Geneva. Switzerland: World Health Organization; 2024. (in press).
38.
go back to reference Rehm J, Lange S, Gobiņa I, Janik-Koncewicz K, Miščikienė L, Reile R, Stoppel R, Tran A, Ferreira-Borges C, Jasilionis D, Jiang H, Kim KV, Manthey J, Neufeld M, Petkevičienė J, Radišauskas R, Room R, Liutkutė-Gumarov V, Zatoński WA, Štelemėkas M. Classifying alcohol control policies enacted between 2000 and 2020 in Poland and the baltic countries to model potential impact. Addiction (Abingdon England). 2023;118(3):449–58. https://doi.org/10.1111/add.16102.CrossRefPubMed Rehm J, Lange S, Gobiņa I, Janik-Koncewicz K, Miščikienė L, Reile R, Stoppel R, Tran A, Ferreira-Borges C, Jasilionis D, Jiang H, Kim KV, Manthey J, Neufeld M, Petkevičienė J, Radišauskas R, Room R, Liutkutė-Gumarov V, Zatoński WA, Štelemėkas M. Classifying alcohol control policies enacted between 2000 and 2020 in Poland and the baltic countries to model potential impact. Addiction (Abingdon England). 2023;118(3):449–58. https://​doi.​org/​10.​1111/​add.​16102.CrossRefPubMed
39.
go back to reference Rehm J, Stelemekas M, Ferreira-Borges C, Jiang H, Lange S, Neufeld M, et al. Classifying Alcohol Control policies with respect to expected changes in consumption and alcohol-attributable harm: the Example of Lithuania, 2000–2019. Int J Environ Res Public Health. 2021;18(5). https://doi.org/10.3390/ijerph18052419. Rehm J, Stelemekas M, Ferreira-Borges C, Jiang H, Lange S, Neufeld M, et al. Classifying Alcohol Control policies with respect to expected changes in consumption and alcohol-attributable harm: the Example of Lithuania, 2000–2019. Int J Environ Res Public Health. 2021;18(5). https://​doi.​org/​10.​3390/​ijerph18052419.
42.
go back to reference R Core Team. R: A Language and Environment for Statistical Computing Vienna, Austria: R Foundation for Statistical Computing.; 2022 [Available from: [https://www.R-project.org/]. Accessed: 17/07/2023. R Core Team. R: A Language and Environment for Statistical Computing Vienna, Austria: R Foundation for Statistical Computing.; 2022 [Available from: [https://​www.​R-project.​org/​]. Accessed: 17/07/2023.
44.
57.
go back to reference Shield KD, Parry C, Rehm J. Chronic diseases and conditions related to alcohol use. Alcohol Res. 2013;35(2):155–.– 73.doi:.PubMed Shield KD, Parry C, Rehm J. Chronic diseases and conditions related to alcohol use. Alcohol Res. 2013;35(2):155–.– 73.doi:.PubMed
58.
go back to reference Shadish WR, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference. New York, U.S.: Houghton Mifflin Company; 2002. Shadish WR, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference. New York, U.S.: Houghton Mifflin Company; 2002.
59.
go back to reference Babor TF, Casswell S, Graham K, Huckle T, Livingston M, Österberg E, et al. Alcohol: no ordinary commodity - research and public policy. 3rd ed. Oxford: UK Oxford University; 2023. Babor TF, Casswell S, Graham K, Huckle T, Livingston M, Österberg E, et al. Alcohol: no ordinary commodity - research and public policy. 3rd ed. Oxford: UK Oxford University; 2023.
64.
go back to reference Sornpaisarn B, Shield KD, Österberg E, Rehm J. Resource tool on alcohol taxation and pricing policies. Geneva, Switzerland: World Health Organization and others; 2017. Sornpaisarn B, Shield KD, Österberg E, Rehm J. Resource tool on alcohol taxation and pricing policies. Geneva, Switzerland: World Health Organization and others; 2017.
65.
Metadata
Title
Trends of alcohol-attributable deaths in Lithuania 2001–2021: epidemiology and policy conclusions
Authors
Jürgen Rehm
Pol Rovira
Huan Jiang
Shannon Lange
Kevin D. Shield
Alexander Tran
Mindaugas Štelemėkas
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-18237-y

Other articles of this Issue 1/2024

BMC Public Health 1/2024 Go to the issue