Evidence map›Paper›PMID 38475821›Full record

ArticleBMC public health2024

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

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

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, M5S 2S1, Toronto, ON, Canada. jtrehm@gmail.com.
Pol RoviraProgram on Substance Abuse & WHO CC, Public Health Agency of Catalonia, 81-95 Roc Boronat St, 08005, Barcelona, Spain.
Huan JiangInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, M5S 2S1, Toronto, ON, Canada.
Shannon LangeInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, M5S 2S1, Toronto, ON, Canada.
Kevin D ShieldInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, M5S 2S1, Toronto, ON, Canada.
Alexander TranInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, M5S 2S1, Toronto, ON, Canada.
Mindaugas ŠtelemėkasHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania.

Funding

Evaluation of the impact of alcohol control policies on morbidity and mortality in Lithuania and other Baltic statesR01AA028224 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI REHM, JUERGEN T, ŠTELEMĖKAS, MINDAUGAS · 2020 to 2024
$2.2M
NIAAA NIH HHS R01 AA028224NIAAA NIH HHS R01AA028224
6 · The paper itself

Abstract

backgroundLithuania, 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.

methodsThe 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.

resultsAge-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.

conclusionsMale 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.

Indexed as

Alcohol DrinkingLife ExpectancyHumansLithuaniaMalePublic PolicyRiskAlcoholAlcohol-attributable deathsAlcohol control policiesAttributable deathsFully attributableGenderLithuaniaPartially attributableTrends

Identifiers

PMID38475821
PMCPMC10935848

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.