Literature DB >> 33801260

Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000-2019.

Jürgen Rehm1,2,3,4,5,6,7,8, Mindaugas Štelemėkas9,10, Carina Ferreira-Borges11, Huan Jiang1,2, Shannon Lange1,2, Maria Neufeld1,2,3,11, Robin Room12,13, Sally Casswell14, Alexander Tran1,2, Jakob Manthey3,4,15.   

Abstract

Due to the high levels of alcohol use, alcohol-attributable mortality and burden of disease, and detrimental drinking patterns, Lithuania implemented a series of alcohol control policies within a relatively short period of time, between 2008 and 2019. Based on their expected impact on alcohol consumption and alcohol-attributable harm, as well as their target population, these policies have been classified using a set of objective criteria and expert opinion. The classification criteria included: positive vs. negative outcomes, mainly immediate vs. delayed outcomes, and general population vs. specific group outcomes. The judgement of the alcohol policy experts converged on the objective criteria, and, as a result, two tiers of intervention were identified: Tier 1-highly effective general population interventions with an anticipated immediate impact; Tier 2-other interventions aimed at the general population. In addition, interventions directed at specific populations were identified. This adaptable methodological approach to alcohol control policy classification is intended to provide guidance and support for the evaluation of alcohol policies elsewhere, to lay the foundation for the critical assessment of the policies to improve health and increase life expectancy, and to reduce crime and violence.

Entities:  

Keywords:  Lithuania; alcohol control policy; availability; best buys; classification; evaluation; marketing; taxation

Mesh:

Substances:

Year:  2021        PMID: 33801260      PMCID: PMC7967552          DOI: 10.3390/ijerph18052419

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  32 in total

1.  Saturday opening of alcohol retail shops in Sweden: an impact analysis.

Authors:  Thor Norström; Ole-Jørgen Skog
Journal:  J Stud Alcohol       Date:  2003-05

2.  What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models.

Authors:  Michael A Babyak
Journal:  Psychosom Med       Date:  2004 May-Jun       Impact factor: 4.312

3.  A new measure of alcohol affordability for the UK.

Authors:  Rachel Seabrook
Journal:  Alcohol Alcohol       Date:  2010 Nov-Dec       Impact factor: 2.826

Review 4.  Hours and days of sale and density of alcohol outlets: impacts on alcohol consumption and damage: a systematic review.

Authors:  Svetlana Popova; Norman Giesbrecht; Dennis Bekmuradov; Jayadeep Patra
Journal:  Alcohol Alcohol       Date:  2009 Sep-Oct       Impact factor: 2.826

Review 5.  Understanding and using time series analyses in addiction research.

Authors:  Emma Beard; John Marsden; Jamie Brown; Ildiko Tombor; John Stapleton; Susan Michie; Robert West
Journal:  Addiction       Date:  2019-07-09       Impact factor: 6.526

6.  Financial crisis, austerity, and health in Europe.

Authors:  Marina Karanikolos; Philipa Mladovsky; Jonathan Cylus; Sarah Thomson; Sanjay Basu; David Stuckler; Johan P Mackenbach; Martin McKee
Journal:  Lancet       Date:  2013-03-27       Impact factor: 79.321

7.  National, regional, and global burdens of disease from 2000 to 2016 attributable to alcohol use: a comparative risk assessment study.

Authors:  Kevin Shield; Jakob Manthey; Margaret Rylett; Charlotte Probst; Ashley Wettlaufer; Charles D H Parry; Jürgen Rehm
Journal:  Lancet Public Health       Date:  2020-01

Review 8.  How economic crises affect alcohol consumption and alcohol-related health problems: a realist systematic review.

Authors:  Moniek C M de Goeij; Marc Suhrcke; Veronica Toffolutti; Dike van de Mheen; Tim M Schoenmakers; Anton E Kunst
Journal:  Soc Sci Med       Date:  2015-02-18       Impact factor: 4.634

9.  A systematic review of the epidemiology of unrecorded alcohol consumption and the chemical composition of unrecorded alcohol.

Authors:  Jürgen Rehm; Shalini Kailasapillai; Elisabeth Larsen; Maximilien X Rehm; Andriy V Samokhvalov; Kevin D Shield; Michael Roerecke; Dirk W Lachenmeier
Journal:  Addiction       Date:  2014-03-03       Impact factor: 6.526

Review 10.  The temporal relationship between per capita alcohol consumption and harm: a systematic review of time lag specifications in aggregate time series analyses.

Authors:  John Holmes; Petra S Meier; Andrew Booth; Yelan Guo; Alan Brennan
Journal:  Drug Alcohol Depend       Date:  2011-12-22       Impact factor: 4.492

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  12 in total

1.  Can alcohol control policies reduce cirrhosis mortality? An interrupted time-series analysis in Lithuania.

Authors:  Alexander Tran; Huan Jiang; Shannon Lange; Jakob Manthey; Mindaugas Štelemėkas; Robertas Badaras; Janina Petkevičienė; Ričardas Radišauskas; Robin Room; Jürgen Rehm
Journal:  Liver Int       Date:  2022-01-30       Impact factor: 5.828

2.  Predicting the Impact of Alcohol Taxation Increases on Mortality-A Comparison of Different Estimation Techniques.

Authors:  Alexander Tran; Huan Jiang; Kawon Victoria Kim; Robin Room; Mindaugas Štelemėkas; Shannon Lange; Pol Rovira; Jürgen Rehm
Journal:  Alcohol Alcohol       Date:  2022-07-09       Impact factor: 3.913

3.  The Impact of Increasing the Minimum Legal Drinking Age from 18 to 20 Years in Lithuania on All-Cause Mortality in Young Adults-An Interrupted Time-Series Analysis.

Authors:  Alexander Tran; Huan Jiang; Shannon Lange; Michael Livingston; Jakob Manthey; Maria Neufeld; Robin Room; Mindaugas Štelemėkas; Tadas Telksnys; Janina Petkevičienė; Ričardas Radišauskas; Jürgen Rehm
Journal:  Alcohol Alcohol       Date:  2022-07-09       Impact factor: 3.913

4.  Evaluating the Impact of Alcohol Policy on Suicide Mortality: A Sex-Specific Time-Series Analysis for Lithuania.

Authors:  Shannon Lange; Huan Jiang; Mindaugas Štelemėkas; Alexander Tran; Cheryl Cherpitel; Norman Giesbrecht; Nijole Gostautaite Midttun; Domantas Jasilionis; Mark S Kaplan; Jakob Manthey; Ziming Xuan; Jürgen Rehm
Journal:  Arch Suicide Res       Date:  2021-11-13

5.  Alcohol control policy measures and all-cause mortality in Lithuania: an interrupted time-series analysis.

Authors:  Mindaugas Štelemėkas; Jakob Manthey; Robertas Badaras; Sally Casswell; Carina Ferreira-Borges; Ramunė Kalėdienė; Shannon Lange; Maria Neufeld; Janina Petkevičienė; Ričardas Radišauskas; Robin Room; Tadas Telksnys; Ingrida Zurlytė; Jürgen Rehm
Journal:  Addiction       Date:  2021-04-06       Impact factor: 6.526

6.  Cardiovascular diseases mortality and alcohol control policy in Lithuania: exploring a possible link.

Authors:  Ricardas Radisauskas; Kawon Victoria Kim; Shannon Lange; Vaida Liutkute-Gumarov; Olga Mesceriakova-Veliuliene; Janina Petkeviciene; Mindaugas Stelemekas; Tadas Telksnys; Alexander Tran; Jürgen Rehm
Journal:  BMC Public Health       Date:  2021-11-17       Impact factor: 3.295

7.  Alcohol taxation, alcohol consumption and cancers in Lithuania: A case study.

Authors:  Pol Rovira; Gražina Belian; Carina Ferreira-Borges; Carolin Kilian; Maria Neufeld; Alexander Tran; Mindaugas Štelemėkas; Jürgen Rehm
Journal:  Nordisk Alkohol Nark       Date:  2021-06-28

8.  Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol.

Authors:  Jakob Manthey; Domantas Jasilionis; Huan Jiang; Olga Meščeriakova-Veliulienė; Janina Petkevičienė; Ričardas Radišauskas; Jürgen Rehm; Mindaugas Štelemėkas
Journal:  BMJ Open       Date:  2021-12-06       Impact factor: 2.692

9.  Alcohol control policies add to secular trends in all-cause mortality rates in young adults.

Authors:  Alexander Tran; Jakob Manthey; Shannon Lange; Huan Jiang; Mindaugas Štelemėkas; Vaida Liutkutė-Gumarov; Olga Meščeriakova-Veliulienė; Janina Petkevičienė; Ričardas Radišauskas; Tadas Telksnys; Jürgen Rehm
Journal:  Sci Rep       Date:  2021-07-23       Impact factor: 4.379

10.  Can alcohol consumption in Germany be reduced by alcohol screening, brief intervention and referral to treatment in primary health care? Results of a simulation study.

Authors:  Jakob Manthey; Adriana Solovei; Peter Anderson; Sinclair Carr; Jürgen Rehm
Journal:  PLoS One       Date:  2021-08-05       Impact factor: 3.240

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