Evidence map›Paper›PMID 36402051›Full record

ArticleDrug and alcohol dependence2022

Do alcohol control policies have the predicted effects on consumption? An analysis of the Baltic countries and Poland 2000-2020.

Jürgen Rehm, Alexander Tran, Inese Gobiņa, Kinga Janik-Koncewicz, Huan Jiang, Kawon Victoria Kim, Vaida Liutkutė-Gumarov, Laura Miščikienė, Rainer Reile, Robin Room and 4 more

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Alcohol policy modelling studies require realistic assumptions.The Lancet regional health. Europe · 2026
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  12. Unrecorded alcohol consumption in Lithuania: a modelling study for 2000-2021.Alcohol and alcoholism (Oxford, Oxfordshire) · 2023
    Article
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  14. Review
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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

14 authors.

Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Faculty of Medicine, Institute of Medical Science, University of Toronto, Toronto, Ontario M5S 1A8, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario, Canada; Institute of Clinical Psychology and Psychotherapy & Center of Clinical Epidemiology and Longitudinal Studies (CELOS), Technische Universität Dresden, Dresden, Germany; Center for Interdisciplinary Addiction Research (ZIS), Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; Department of International Health Projects, Institute for Leadership and Health Management, I.M. Sechenov First Moscow State Medical University, Moscow, the Russian Federation; Program on Substance Abuse, Public Health Agency of Catalonia, Program on Substance Abuse & designated WHO CC, Public Health Agency of Catalonia, Barcelona, Spain.
Alexander TranInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Inese GobiņaDepartment of Public Health and Epidemiology, Riga Stradiņš University, Riga, Latvia; Institute of Public Health, Riga Stradiņš University, Riga, Latvia.
Kinga Janik-KoncewiczEuropean Observatory of Health Inequalities, Calisia University, Kalisz, Poland; Health Promotion Foundation, Nadarzyn, Poland.
Huan JiangInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario, Canada.
Kawon Victoria KimInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Vaida Liutkutė-GumarovHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Laura MiščikienėHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Rainer ReileHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania; Department for Epidemiology and Biostatistics, National institute for Health Development, Tallinn, Estonia.
Robin RoomCentre for Alcohol Policy Research, La Trobe University, Melbourne, Victoria, Australia; Centre for Social Research on Alcohol and Drugs, Department of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Mindaugas ŠtelemėkasHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania; Department of Preventive Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Relika StoppelHealth Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania; University of Potsdam, Department of Economics, Potsdam, Germany.
Witold A ZatońskiEuropean Observatory of Health Inequalities, Calisia University, Kalisz, Poland; Health Promotion Foundation, Nadarzyn, Poland.
Shannon LangeInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, 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

backgroundMany population-based alcohol control policies are postulated to work via changes in adult alcohol per capita consumption (APC). However, since APC is usually assessed on a yearly basis, often there are not enough data to conduct interrupted time-series or other controlled analyses. The current dataset, with 21 years of observation from four countries (Estonia, Latvia, Lithuania, and Poland), had sufficient power to test for average effects and potential interactions of the World Health Organization's (WHO) three "best buys" for alcohol control: taxation increases leading to a decrease in affordability; reduced availability (via a decrease in opening hours of at least 20 %); and advertising and marketing restrictions. We postulated that the former two would have immediate effects, while the latter would have mid- to long-term effects.

methodsLinear regression analysis.

resultsTaxation increases and availability reductions in all countries were associated with an average reduction in APC of 0.83 litres (ℓ) of pure alcohol per year (95 % confidence interval: -1.21 ℓ, -0.41 ℓ) in the same year, with no significant differences between countries. Restrictions on advertising and/or marketing had no significant immediate associations with APC (average effect 0.04 ℓ per year; 95 % confidence interval: -0.65 ℓ, 0.73 ℓ). Several sensitivity analyses corroborated these main results.

conclusionsThe WHO "best buy" alcohol control policies of taxation increases and availability restrictions worked as postulated in these four northeastern European Union countries.

Indexed as

AdvertisingAlcohol DrinkingAdultHumansMarketingPolicyTaxesAffordabilityAlcohol control policyAlcohol per capita consumptionAvailabilityBest buysMarketing banTaxation

Identifiers

PMID36402051
PMCPMC9772294

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.