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Background and Aims: Previously identified national drinking patterns in Europe lack comparability and might be no longer be valid due to changes in economic conditions and policy frameworks. We aimed to identify the most recent alcohol drinking patterns in Europe based on comparable alcohol exposure indicators using a data-driven approach, as well as identifying temporal changes and establishing empirical links between these patterns and indicators of alcohol-related harm., Design: Data from the World Health Organization's monitoring system on alcohol exposure indicators were used. Repeated cross-sectional hierarchical cluster analyses were applied. Differences in alcohol-attributable harm between clusters of countries were analyzed via linear regression., Setting: European Union countries, plus Iceland, Norway and Ukraine, for 2000, 2010, 2015 and 2019., Participants/cases: Observations consisted of annual country data, at four different time points for alcohol exposure. Harm indicators were only included for 2019., Measurements: Alcohol exposure indicators included alcohol per capita consumption (APC), beverage-specific consumption and prevalence of drinking status indicators (lifetime abstainers, current drinkers, former drinkers and heavy episodic drinking). Alcohol-attributable harm was measured using age-standardized alcohol-attributable Disability-Adjusted Life Years (DALYs) lost and deaths per 100 000 people., Findings: The same six clusters were identified in 2019, 2015 and 2010, mainly characterized by type of alcoholic beverage and prevalence drinking status indicators, with geographical interpretation. Two-thirds of the countries remained in the same cluster over time, with one additional cluster identified in 2000, characterized by low APC. The most recent drinking patterns were shown to be significantly associated with alcohol-attributable deaths and DALY rates. Compared with wine-drinking countries, the mortality rate per 100 000 people was significantly higher in Eastern Europe with high spirits and 'other' beverage consumption [ β ^  = 90, 95% confidence interval (CI) = 55-126], and in Eastern Europe with high lifetime abstainers and high spirits consumption ( β ^  = 42, 95% CI = 4-78)., Conclusions: European drinking patterns appear to be clustered by level of beverage-specific consumption, with heavy episodic drinkers, current drinkers and lifetime abstainers being distinguishing factors between clusters. Despite the overall stability of the clusters over time, some countries shifted between drinking patterns from 2000 to 2019. Overall, patterns of drinking in the European Union seem to be stable and partly determined by geographical proximity., (© 2024 World Health Organization; licensed by Society for the Study of Addiction. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study ofAddiction.)

Aims: The study's aim is to identify and classify the most important alcohol control policies in the Baltic countries (Estonia, Latvia and Lithuania) and Poland between 2000 and 2020., Methods: Policy analysis of Baltic countries and Poland, predicting potential policy impact on alcohol consumption, all-cause mortality and alcohol-attributable hospitalizations was discussed., Results: All Baltic countries implemented stringent availability restrictions on off-premises trading hours and different degrees of taxation increases to reduce the affordability of alcoholic beverages, as well as various degrees of bans on alcohol marketing. In contrast, Poland implemented few excise taxation increases or availability restrictions and, in fact, reduced stipulations on prior marketing bans., Conclusions: This classification of alcohol control policies in the Baltic countries and Poland provides a basis for future modeling of the impact of implementing effective alcohol control policies (Baltic countries), as well as the effects of loosening such policies (Poland)., (© 2022 Society for the Study of Addiction.)

Aims: To estimate prevalence of alcohol use disorders (AUD) and alcohol dependence (AD) for Russia in 2019, based on clients in primary health-care facilities., Design: Cross-sectional assessment of AUD and AD. Prevalence estimates were cross-validated using a treatment multiplier methodology., Setting: A total of 21 primary health-care facilities, including dispanserization units (population health preventive care settings)., Participants: A total of 2022 participants (986 women and 1036 men) 18 years of age and older., Measurements: Composite International Diagnostic Interview., Findings: The prevalence of AD and AUD was 7.0% [95% confidence interval (CI) = 5.9-8.1%] and 12.2% (95% CI = 10.8-13.6%), respectively. Marked sex differences were observed for the prevalence of AD (women: 2.8%; 95% CI = 1.7-3.8%; men: 12.2%; 95% CI = 10.3-14.1%) and AUD (women: 6.1%; 95% CI = 4.6-7.7%; men: 19.5%; 95% CI = 17.2-21.8%). Age patterns of AD and AUD prevalence were sex-specific. Among women, the prevalence of AUD and AD was highest in the youngest age group and decreased with age. Among men, the prevalence of AUD and AD was highest among men aged 45-59 years. Sensitivity analyses indicated that the prevalence of AD as estimated using a treatment multiplier (6.5%; 95% CI = 5.0-8.9%) was similar to the estimates of the main analysis., Conclusions: Even though alcohol use has declined since 2003 in Russia, the prevalence of alcohol use disorders and alcohol dependence remains high at approximately 12 and 7%, respectively., (© 2022 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Background and Aims: Alcohol use has been identified as a major risk factor for burden of mortality and disease, particularly for countries in eastern Europe. During the past two decades, several countries in this region have implemented effective alcohol policy measures to combat this burden. The aim of the current study was to measure the association between Lithuania's alcohol control policies and adult all-cause mortality., Design: Interrupted time-series methodology by means of general additive models., Setting: Lithuania., Participants: Adult population of Lithuania, aged 20 years and older., Measurements: Alcohol control policies were ascertained via a document review of relevant legislation materials. Policy effects were evaluated as follows: (1) slope changes in periods of legislative (non-)activity with regard to alcohol control policy (analysis 1); (2) level changes of three interventions following recommendations of the World Health Organization (analysis 2); and (3) level changes of seven interventions judged a priori by an international panel of experts (analysis 3). Mortality was measured by sex-stratified and total monthly age-standardized rates of all-cause mortality for the adult population., Findings: During the period 2001-18, effective alcohol control policy measures were implemented on several occasions, and in those years the all-cause mortality rate declined by approximately 3.2% more than in years without such policies. In particular, the implementation of increased taxation in 2017 was associated with reduced mortality over and above the general trend for men and in total for all analyses, which amounted to 1452 deaths avoided (95% confidence interval = -166 to -2739) in the year following the implementation of the policy., Conclusions: Alcohol control policies in Lithuania appear to have reduced the overall adult all-cause mortality over and above secular trends., (© 2021 Society for the Study of Addiction.)

Aims: To study the impact of alcohol control policy measures (i.e. increases in taxation, restrictions on availability, including minimum purchasing age regulations, legislation on drink driving and advertisement bans) on alcohol-related traffic harm in Lithuania between January 2004 and February 2019., Design: Analyses of trend data on the proportion of alcohol-related collisions and crashes, injury and mortality, adjusting for secular trends, seasonality, periods of alcohol control measure implementation and economic development. Generalized additive mixed models were used. Multiple sensitivity analyses were conducted., Setting: Lithuania., Cases: Monthly number of alcohol-related cases of traffic collisions and crashes, injuries and deaths., Interventions and Comparators: Periods of time during which new alcohol control measures were implemented and/or augmented compared to periods when they were not., Measurements: Monthly data for 2004 to 2019 from routine statistics of the Lithuanian Road Police Service., Findings: All indicators decreased consistently and significantly after the implementation of alcohol control measures, including increased taxation, reduction of availability and a ban on advertisement, starting in 2014. On average, each implemented policy measure permanently reduced the proportion of alcohol-attributable crashes by 0.55% [95% confidence interval (CI) = 0.21-0.90%; P = 0.002], the proportion of alcohol-attributable injuries by 0.60% (95% CI = 0.24-0.97%; P = 0.001) and the proportion of alcohol-attributable deaths by 0.13% (95% CI = 0.10-0.15%; P < 0.001)., Conclusions: Alcohol control policy measures, including measures to reduce overall level of alcohol consumption, were associated with a marked decrease in alcohol-related traffic harm., (© 2019 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Aims: According to the World Health Organization (WHO), the total amount of alcohol consumed in the African region is expected to increase due to the growth of new alcohol consumers, especially young people and women. With the changing alcohol environment, increases in the alcohol-attributable burden of disease are inevitable. To our knowledge, there has not been a comprehensive analysis of the factors that could be driving those increases. The objective of this study was to examine the evidence from peer reviewed literature regarding the factors that could be instrumental in this process, in order to inform strategic policy-related decisions., Method: A narrative review was conducted using a thematic analysis approach. We searched papers published between January 2000 and July 2014 in PubMed, the WHO's Global Health Library and African Journals Online., Results: Our analysis identified seven factors (demographics, rapid urbanization, economic development, increased availability, corporate targeting, weak policy infrastructure and trade agreements) which are potentially tied to changes in alcohol consumption in Africa. Driven largely by globalization, a potential convergence of these various factors is likely to be associated with continued growth in alcohol consumption and alcohol-related morbidity and mortality., Conclusions: To address the emerging risk factors associated with increased alcohol consumption, African governments need to take a more active role in protecting the public's health. In particular, important strategic shifts are needed to increase implementation of intersectoral strategies, community involvement in the policy dialogue, health services re-orientation and better regulation of the alcohol beverage industry., (© 2015 Society for the Study of Addiction.)