Evidence map›Paper›PMID 37946282›Full record

ArticleSubstance abuse treatment, prevention, and policy2023

Alcohol-attributable mortality and alcohol control policy in the Baltic Countries and Poland in 2001-2020: an interrupted time-series analysis.

Ričardas Radišauskas, Mindaugas Štelemėkas, Janina Petkevičienė, Justina Trišauskė, Tadas Telksnys, Laura Miščikienė, Inese Gobina, Relika Stoppel, Rainer Reile, Kinga Janik-Koncewicz and 5 more

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

15 authors.

Ričardas RadišauskasDepartment of Environmental and Occupational Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės Str. 18, 47181, Kaunas, Lithuania. ricardas.radisauskas@lsmuni.lt.
Mindaugas ŠtelemėkasHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės Str. 18, 47181, Kaunas, Lithuania.
Janina PetkevičienėHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės Str. 18, 47181, Kaunas, Lithuania.
Justina TrišauskėHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės Str. 18, 47181, Kaunas, Lithuania.
Tadas TelksnysHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės Str. 18, 47181, Kaunas, Lithuania.
Laura MiščikienėHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės Str. 18, 47181, Kaunas, Lithuania.
Inese GobinaDepartment of Public Health and Epidemiology, Riga Stradiņš University, Kronvalda Boulevard 9, Riga, 1010, Latvia.
Relika StoppelDepartment of Economics, University of Potsdam, August-Bebel-Straße 89, 14482, Potsdam, Germany.
Rainer ReileDepartment for Epidemiology and Biostatistics, National Institute for Health Development, Hiiu 42, 11619, Tallinn, Estonia.
Kinga Janik-KoncewiczInstitute - European Observatory of Health Inequalities, Calisia University, Nowy Swiat 4, 62-800, Kalisz, Poland.
Witold ZatonskiInstitute - European Observatory of Health Inequalities, Calisia University, Nowy Swiat 4, 62-800, Kalisz, Poland.
Shannon LangeCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, 33 Ursula Franklin Street, Toronto, ON, M5S 2S1, Canada.
Alexander TranCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, 33 Ursula Franklin Street, Toronto, ON, M5S 2S1, Canada.
Jürgen RehmCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, 33 Ursula Franklin Street, Toronto, ON, M5S 2S1, Canada.
Huan JiangCentre for Addiction and Mental Health, Institute for Mental Health Policy Research, 33 Ursula Franklin Street, Toronto, ON, M5S 2S1, Canada.

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 AA028224
6 · The paper itself

Abstract

backgroundThe Baltic countries-Lithuania, Latvia and Estonia-are characterized by a high rate of fully alcohol-attributable mortality, compared with Poland. Alcohol control policy measures implemented since 2001 in the Baltic countries included a restriction on availability and an increase in excise taxation, among others. The aim of the current study was to evaluate the relationship between alcohol control policy implementation and alcohol-attributable mortality in the Baltic countries and Poland.

methodsAlcohol-attributable mortality data for 2001-2020 was defined by codes 100% alcohol-attributable for persons aged 15 years and older in the Baltic countries and Poland. Alcohol control policies implemented between 2001 and 2020 were identified, and their impact on alcohol-attributable mortality was evaluated using an interrupted time-series methodology by employing a generalized additive model.

resultsAlcohol-attributable mortality was significantly higher in the Baltic countries, compared with Poland, for both males and females. In the final reduced model, alcohol control policy significantly reduced male alcohol-attributable mortality by 7.60% in the 12 months post-policy implementation. For females, the alcohol control policy mean-shift effect was higher, resulting in a significant reduction of alcohol-attributable mortality by 10.77% in the 12 months post-policy implementation. The interaction effects of countries and policy tested in the full model were not statistically significant, which indicated that the impact of alcohol control policy on alcohol-attributable mortality did not differ across countries for both males and females.

conclusionsBased on the findings of the current study, alcohol control policy in the form of reduced availability and increased taxation was associated with a reduction in alcohol-attributable mortality among both males and females.

Indexed as

MortalityPublic PolicyEstoniaFemaleHumansLatviaLithuaniaMalePolandAlcohol-attributable mortalityAlcohol control policyBaltic countriesPolandSexShift-mean effect

Identifiers

PMID37946282
PMCPMC10636906

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.