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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. [ABSTRACT FROM AUTHOR]

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). [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]