Heterogeneity in trends of alcohol use around the world: Do policies make a difference?

Trends in economic indicators, alcohol use, and alcohol-attributable health indicators in India

AIMS

Economic development leading a country from a low- to middle-income status is usually associated with increases in alcohol consumption and decreases in all-cause mortality, despite increases in alcohol-attributable mortality. We analyzed this tradition for India during the years 2000-19, with attention to alcohol policy.

METHODS

Joinpoint analysis identified points of trend change and associated slopes for alcohol-attributable mortality and burden (disability-adjusted life years) between 2000 and 2019. Structural equation modeling assessed the relationship among adult alcohol per capita consumption, gross domestic product per capita at purchasing power parity (GDP-PPP per capita), alcohol-attributable mortality, and all-cause mortality, where mortality rates were log-transformed in the models. Pearson correlation was evaluated among study variables. Literature review examined alcohol policies in India.

RESULTS

During the first decade between 2000 and 2019, a rapidly and steadily increasing GDP-PPP per capita was associated with marked increases in alcohol consumption and decreases in all-cause mortality, despite increasing alcohol-attributable mortality. After 2010, the economic growth still increased, but the increase in alcohol consumption halted, likely due to strong alcohol control policies in availability restrictions (dry states, dry periods, high legal purchasing age and restrictions in density, and purchasing hours), as well as a high tax share on final price.

CONCLUSION

Alcohol policies seem to have prevented further increases in alcohol consumption and attributable harm and thus should be upheld. Otherwise, increases in these harms will prevent India from fully reaping the health benefits of economic development.

Alcohol-Attributable Cancer: Update From the Global Burden of Disease 2021 Study

BACKGROUND AND AIMS

Alcohol is a major risk factor for cancer development. Our study aimed to provide the updated global, regional and national burden of alcohol-attributable cancer.

APPROACH AND RESULTS

We analysed the Global Burden of Disease Study 2021 to determine the death and age-standardised death rate (ASDR) from alcohol-attributable cancer and the change of these measures between 2000 and 2021 (reflected as annual percent change [APC]), classified by region, nation and country's developmental status, which is based on the sociodemographic index (SDI).

RESULTS

In 2021, there were 343,370 deaths globally from alcohol-attributable cancer, which was an increase from 2000 by 51%. Alcohol-attributable cancer accounted for 3.5% of all cancer deaths. Among alcohol-attributable cancer, liver cancer (27%) accounted for the highest mortality from alcohol, followed by oesophageal (24%) and colorectal cancer (16%). From 2000 to 2021, ASDR from alcohol-attributable cancer decreased (APC: -0.66%). Regionally, from 2000 to 2021, the fastest-growing ASDR was observed in South Asia. Classified by SDI, low (APC: 0.33%) and low-to-middle SDI countries (APC: 1.58%) exhibited an uptrend in ASDR from alcohol-attributable cancer. While the ASDR from all other cancers decreased, ASDR from early-onset (15-49 years) lip and oral cavity cancer increased (APC: 0.40%).

CONCLUSIONS

From 2000 to 2021, although the ASDR from alcohol-attributable cancer declined, the total number of deaths continued to rise. This trend was accompanied by variations across sociodemographic groups and cancer types, particularly gastrointestinal cancers. Urgent efforts are needed both globally and at regional levels to address the burden of alcohol-attributable cancers.

The role of alcohol control policies in the reversal of alcohol consumption levels and resulting attributable harms in China

Yearly adult per capita consumption of alcohol in China between 2016 and 2019 decreased by 2.4 L of pure alcohol, or 33%. According to the World Health Organization, this decrease in consumption was accompanied by reductions in alcohol-attributable mortality of 23% between 2015 and 2019. This paper examines the contribution of alcohol control policies in China to these public health gains. A systematic search of the literature was conducted on alcohol control policies and their effectiveness in China as part of a larger search of all countries in WHO Western Pacific Region. In addition to articles on empirical evidence on the impact of such alcohol control policies, we also searched for reviews. The plausibility of changes of traditional alcohol control policies (taxation increases, availability restrictions, restriction on advertisement and marketing, drink-driving laws, screening and brief interventions) in explaining reductions of consumption levels and attributable mortality rates was explored. There was some progress in the successful implementation of strict drink-driving policies, which could explain reductions in traffic injuries, including fatalities. Other traditional alcohol control policies seem to have played a minimal role in reducing alcohol consumption and attributable harms during the time period 2016-2019. However, an anti-corruption campaign was extensive enough to have substantially contributed to these reductions. The campaign prohibited the consumption of alcoholic beverages in everyday life of government officials and thus contributed to a de-normalization of alcohol. While this anti-corruption campaign was the only policy to potentially explain marked decreases in levels of alcohol consumption and attributable mortality, more detailed research is required to determine exactly how the campaign achieved these decreases.

Classifying national drinking patterns in Europe between 2000 and 2019: A clustering approach using comparable exposure data

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.

The effect of an annual temporary abstinence campaign on population-level alcohol consumption in Thailand: a time-series analysis of 23 years

RATIONALE

A small number of earlier studies have suggested an effect of temporary abstinence campaigns on alcohol consumption. However, all were based on self-reported consumption estimates.

OBJECTIVES

Using a time series of 23-year monthly alcohol sales data, this study examined the effect of an annual temporary abstinence campaign, which has been organised annually since 2003 during the Buddhist Lent period (spanning 3 months), on population-level alcohol consumption.

METHODS

Data used in the analysis included a time series of monthly alcohol sales data from January 1995 to September 2017 and the midyear population counts for those years. Generalised additive models (GAM) were applied to estimate trends as smooth functions of time, while identifying a relationship between the Buddhist Lent abstinence campaigns on alcohol consumption. The sensitivity analysis was performed using a seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model.

INTERVENTION

The Buddhist Lent abstinence campaign is a national mass media campaign combined with community-based activities that encourages alcohol abstinence during the Buddhist Lent period, spanning 3 months and varying between July and October depending on the lunar calendar. The campaign has been organised annually since 2003.

MAIN OUTCOME

Per capita alcohol consumption using monthly alcohol sales data divided by the midyear total population number used as a proxy.

RESULTS

Median monthly per capita consumption was 0.43 (IQR: 0.37 to 0.51) litres of pure alcohol. Over the study period, two peaks of alcohol consumption were in March and December of each year. The significant difference between before-campaign and after-campaign coefficients in the GAM, -0.102 (95% CI: -0.163 to -0.042), indicated an effect of the campaign on alcohol consumption after adjusting for the time trend and monthly seasonality, corresponding to an average reduction of 9.97% (95% CI: 3.65% to 24.18%). The sensitivity analyses produced similar results, where the campaign was associated with a decrease in consumption of 8.1% (95% CI: 0.4% to 15.7%).

CONCLUSIONS

This study demonstrated that the temporary abstinence campaign was associated with a decrease in population-level alcohol consumption during campaign periods. The finding contributed to a growing body of evidence on the effectiveness of emerging temporary abstinence campaigns.

Changes in attitudes toward alcohol control policies in Lithuania: findings from two representative surveys in 2015 and 2020

Background: A set of evidence-based alcohol control policy measures was adopted in the period 2016-2020 in Lithuania. The present study fills a knowledge gap on how changes in alcohol control policy are associated with attitudes toward different alcohol policy measures.Objective: This study aims to explore whether support for key alcohol control policy measures in Lithuania declined following implementation of alcohol control measures.Methods: Data came from the Standard European Alcohol Survey. Two representative surveys with the same questionnaire, were conducted in Lithuania in 2015 (N = 1513, 51.7% female, response rate was 38.9%) and 2020 (N = 1015, 50.6% female, response rate was 38.0%). Multi-stage stratified probability sampling was applied. Surveys were carried out using computer-assisted face-to-face interviews, descriptive statistics and multiple logistic regression analyses was applied. We used a binomial logistic regression analysis and the Pearson chi-square test.Results: There was a significant decline in a proportion of respondents who agreed that the number of alcohol selling places should be kept low (OR: 0.84, p = .032), alcohol prices should be kept high (OR: 0.83, p = .027), and the police should be allowed to randomly check whether the driver is sober (OR: 0.65, p < .001). The proportion of respondents who agree that individuals are responsible enough with their drinking significantly declined (OR: 0.76, p = .003).Conclusion: Support for restrictions on alcohol-selling points, increase in alcohol price, and random alcohol testing of drivers declined following the adoption of new alcohol control policy measures. Our findings might be beneficial for policy-makers planning alcohol control policies and information campaigns.

Alcohol consumption in India: a systematic review and modelling study for sub-national estimates of drinking patterns

BACKGROUND AND AIMS

In India, alcohol per capita consumption (APC) has substantially increased over the past 2 decades. Although consumption does vary across the country, consistent state-level data are lacking. We aimed to identify all state-level alcohol exposure estimates since 2000 to (i) model consistent current drinking (CD) (12 months) prevalence estimates for all 36 states/union territories (UT) in 2019 and (ii) compare state-level CD trends with national-level APC trends.

DESIGN

A systematic review for studies on the Indian state-level prevalence of CD, lifetime abstinence (LA), alcohol use disorders (AUD) or the quantity of alcohol consumed among current drinkers (QU) was conducted. Subsequently, statistical modelling was applied.

SETTING

Data were collected and modelled for all Indian states/UTs.

PARTICIPANTS

Studies since 2000 referring to the general adult population (≥15 years) of at least one Indian state/UT were eligible. The total sample size covered was ~29 600 000 (males: females, 1:1.6).

MEASUREMENTS

Results on LA, AUD and QU were summarized descriptively. For (i) the state-, sex- and age-specific CD prevalence was estimated using random intercept fractional response models. For (ii) random intercept and slope models were performed.

FINDINGS

Of 2870 studies identified, 30 were retained for data extraction. LA, AUD and QU data were available for 31, 36 and 12 states/UTs, respectively. CD model estimates ranged from 6.4% (95% CI = 2.1%-18.1%; males) in Lakshadweep and 1.3% (95% CI = 0.7%-2.6%; females) in Delhi to 76.1% (95% CI = 68.1%-82.6%; males) and 63.7% (95% CI = 49.4%-75.7%; females) in Arunachal Pradesh. Over time, CD decreased in most states/UTs in the observed data, contradicting increasing national-level APC trends.

CONCLUSIONS

Alcohol use (measured as consistent current drinking) in India has large regional variations, with alcohol consumption being most prevalent in the North-East, Chhattisgarh, Telangana, Himachal Pradesh, Punjab and Jharkhand.

Benchmarking alcohol policy based on stringency and impact: The International Alcohol Control (IAC) policy index

This study developed a measurement tool to assess stringency and 'on-the-ground' impact of four key alcohol policy domains to create an alcohol policy index suitable for benchmarking alcohol policy and assessing change over time in middle- and high-income countries. It involved a collaboration between researchers in 12 diverse countries: New Zealand; Australia; England; Scotland; Netherlands; Vietnam; Thailand; South Africa; Turkey; Chile; Saint Kitts and Nevis and Mongolia. Data on the four most effective alcohol policy domains (availability, pricing policy, alcohol marketing, drink driving) were used to create an alcohol policy index based on their association with alcohol per capita consumption (APC) of commercial (recorded) alcohol. An innovation was the inclusion of measures of impact along with the stringency of the legislation or regulation. The resulting International Alcohol Control (IAC) Policy Index showed a very high negative correlation (-0.91) with recorded APC. Greater affordability of alcohol, an impact measure taking into account prices paid and countries' Gross Domestic Product, was predictive of higher APC (-0.80). Countries in which more modes of alcohol marketing are legally allowed and used had higher APC. Legislation on outlet density and drink driving predicted APC whereas trading hours did not. While stringency and impact measures varied between domains in terms of relationship with APC, overall, there was a strong correlation between impact and stringency (0.77). The IAC Policy Index, which includes measures of policy stringency and 'on-the-ground' impacts in relation to four key policy areas, was found to be strongly associated with commercial alcohol consumed in a number of diverse country settings. It showed a larger relationship than previous indices that include more policy dimensions. The index provides a relatively simple tool for benchmarking and communication with policy makers to encourage a strong focus on uptake of these four most effective alcohol policies.

Alcohol and the Risk of Injury

Globally, almost four and a half million people died from injury in 2019. Alcohol's contribution to injury-related premature loss of life, disability and ill-health is pervasive, touching individuals, families and societies throughout the world. We conducted a review of research evidence for alcohol's causal role in injury by focusing on previously published systematic reviews, meta-analyses and where indicated, key studies. The review summarises evidence for pharmacological and physiological effects that support postulated causal pathways, highlights findings and knowledge gaps relevant to specific forms of injury (i.e., violence, suicide and self-harm, road injury, falls, burns, workplace injuries) and lays out options for evidence-based prevention.

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

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.