6. Policies and best practices for reducing the harmful consumption of alcohol

Jane Cheatley
Marta Bertanzetti
Sabine Vuik
Michele Cecchini

The consumption of alcohol contributes to various negative health outcomes related to disability and mortality. These include chronic health conditions such as liver cirrhosis, cancer and injuries. In addition, alcohol consumption is associated with disabling mental disorders such as depression (Rehm, 2011[1]; Griswold et al., 2018[2]).

Given the widespread health, social and economic consequences associated with alcohol, it consistently ranks as the drug with the greatest overall harm (Bonomo et al., 2019[3]; Nutt, King and Phillips, 2010[4]). For example, over the next 30 years, it is estimated that harmful alcohol consumption will lead to an additional 37 million injury cases, 24 million cases of cardiovascular disease and 12 million cases of diabetes across the 52 countries analysed in this report (see Chapter 3 for further details).

To reduce the societal burden of alcohol, various policy interventions are employed that involve stakeholders across the whole of society. This chapter discusses these interventions, including their effectiveness and cost-effectiveness, and highlights best practice case studies from across the world.

In 2010, Member States of the World Health Organization (WHO) agreed to the Global Strategy to Reduce the Harmful Use of Alcohol, thereby recognising the issue as a key public health priority. As part of the strategy, ten target areas were identified to assist national policy-makers in developing an effective, holistic policy response (Box 6.1) (WHO, 2010[5]).1

Since harmful alcohol use is a key risk factor for non-communicable disease (NCDs), the Global Strategy played an important role in shaping the WHO Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013-2020. This outlines nine high-level global voluntary targets and aligning policy options, which together aim to reduce premature deaths from the four main NCDs (cardiovascular diseases, cancers, chronic respiratory diseases and diabetes) by 25% by 2025. Regarding alcohol, the action plan aims to achieve a relative reduction of harmful use by 10% (Target 2) (WHO, 2013[6]).

To reduce harmful alcohol use, the WHO has endorsed several high-impact interventions policy-makers can adopt. In 2017, the WHO released Tackling NCDs: “Best Buys” and Other Recommended Interventions for the Prevention and Control of Noncommunicable Diseases, which outlined 11 interventions considered the best use of resources based on an assessment of their cost-effectiveness and feasibility to implement. Of these, taxation, restrictions on the availability of alcohol and bans on alcohol advertising were identified as best buys for alcohol policy (WHO, 2017[7]). These interventions are reflected in WHO’s SAFER initiative which, in addition to the best buys, promotes the importance of drink-driving counter-measures and screening and brief intervention treatments (WHO, 2018[8]).

The United Nations Sustainable Development Goals (SDGs) also specify a target to reduce harmful alcohol use in line with the Global Strategy, as part of Goal 3 to ensure healthy lives and promote well-being. Specifically, SDG target 3.5 relates to strengthening the prevention and treatment of substance abuse, including alcohol (United Nations, 2019[9]).

As outlined above, WHO’s Global Strategy and NCD action plan are designed to assist policy-makers at all levels in implementing effective policies to reduce the harmful use of alcohol. As of 2016, nearly all OECD, G20 and non-OECD European countries have adopted a national written policy on alcohol. However, not all these countries have an action plan outlining implementation of the national policy (Figure 6.1).

Policies outlined within national written policy documents and action plans have been grouped into six policy domains; these include the domains within WHO’s SAFER framework (WHO, 2018[8]) and consumer information (Figure 6.2):

  • alcohol pricing

  • alcohol availability

  • drink-driving

  • alcohol marketing

  • screening and brief interventions

  • consumer information.

Alcohol excise taxes can be grouped into one of three categories:

  • Unitary tax: tax based on the volume (size) of the alcoholic beverage

  • Specific (volumetric) tax: tax based on the ethanol content of the alcoholic beverage

  • Ad valorem tax: tax based on the value of the alcoholic beverage (Sornpaisarn et al., 2017[11]).

It has been suggested that specific taxes are desirable, since they target the ingredient that causes harm (i.e. ethanol) (Chaloupka, Powell and Warner, 2019[12]; Blecher, 2015[13]). Consequently, individuals and manufacturers are incentivised to consume and produce low-alcohol beverages. In South Africa, for example, following the introduction of a specific tax for beers (which replaced the previous unitary tax), there has been a significant shift in advertising from high- to low-alcohol beers, since the latter are now more profitable to produce (Blecher, 2015[13]).

There is strong evidence to support the inverse relationship between prices of alcoholic drinks and consumption. A systematic review by Elder et al. (2010[14]) found that nearly all studies (95%) calculating price elasticities were negative, with this figure ranging from -0.5 to -0.79 (i.e. a 10% increase in the price of alcohol corresponds with a decrease in consumption ranging from -5% to -7.9%), depending on the type of alcohol. These findings are supported by an earlier meta-analysis by Wagenaar et al. (2009[15]) which concluded that a 10% increase in alcohol prices decreases consumption by approximately 5%. Higher prices were also found to reduce alcohol-related mortality and morbidity (e.g. cirrhosis, road traffic deaths, assault and suicide) and are considered highly cost-effective (Wagenaar, Tobler and Komro, 2010[16]; Elder et al., 2010[14]; Cobiac, Mizdrak and Wilson, 2019[17]).

It is important to note that the impact of an alcohol tax increase differs across population groups and types of drinker. For example, Meier et al. (2016[18]) estimated that an increase in specific (volumetric) taxes leads to greater declines in consumption among low-income than high-income groups, particularly for people who drink heavily. The same relationship exists with ad valorem taxes, albeit to a lesser degree and with minimal differences across types of drinker.

Across OECD countries, 84% tax all beverage types; the remainder tax only beer and spirits (Figure 6.3). Countries may also choose to combine taxes, as in Australia, where beer and spirits are subject to a specific tax (based on alcohol content) and wine is subject to an ad valorem tax (based on wholesale price) (Sornpaisarn et al., 2017[11]; Australian Taxation Office, 2019[19]). Further analysis of taxation rates by type of alcohol can be found in OECD (2018[21]), Consumption Tax Trends, https://www.oecd-ilibrary.org/taxation/consumption-tax-trends_19990979.

In addition to excise taxes, alcohol products in all OECD countries are subject to a value-added tax (VAT), ranging between 7.7% (Switzerland) and 27% (Hungary) (WHO, 2018[20]; OECD, 2018[21]).

The impact of an alcohol excise tax decreases over time if it is not adjusted for inflation. This is particularly important for unitary and specific taxes as opposed to ad valorem taxes, which already incorporate changes in price. For example, in the United States, the average inflation-adjusted state-specific tax rate fell by 27-30% (depending on alcohol type) between 1991 and 2015 because it did not change to reflect higher prices (Naimi et al., 2018[22]).

Failing to adjust for inflation can exacerbate existing health inequalities, since specific taxes are more likely to change the behaviour of people who drink heavily (Meier et al., 2016[18]). Specifically, high-strength alcohol is more likely to be sold in the off-premise sector (e.g. supermarkets), where the majority of heavy drinkers purchase alcohol (around 74-80% compared to 47-65% of moderate drinkers).

Approximately one-fifth of all OECD countries periodically adjust alcohol taxes for inflation for all beverage types (n = 8), while two additional countries adjust for beer and spirits only (Australia and Italy, which do not tax wine) (Figure 6.4). For example:

  • In Australia, excise taxes for beer and spirits are indexed to inflation and therefore adjusted twice a year (February and August).

  • In Israel, taxes on alcohol are updated annually to reflect changes in the consumer price index (OECD, 2018[21]).

When designing or reforming an alcohol taxation policy, it is important that policy-makers take into account potential negative side effects, such as:

  • Product substitution: disproportionate price increases among alcoholic beverages could lead individuals to substitute one drink for another. This may have a positive or neutral effect, depending on whether individuals switch to lower-strength beverages or to other forms of alcohol. The evidence suggests that substitution generally occurs within beverages (e.g. red to white wine), as opposed to across beverages (e.g. from beer to wine) (Chaloupka, Powell and Warner, 2019[12]). Product substitution may also occur across drugs – for example, a review of the literature found that young people in “liberal cannabis environments” may substitute alcohol for this drug (Subbaraman, 2016[23]).

  • Declines in consumption of necessary goods: people who drink heavily are less responsive to price changes (Wagenaar, Salois and Komro, 2009[15]), so increasing the price of alcohol may have the undesired effect of reducing spending on essential items such as food and rent (Falkner et al., 2015[24]). Nevertheless, a small proportional decrease in consumption due to higher taxes among people who drink heavily may represent a large absolute reduction in consumption (this is important because a small change in consumption among people who drink heavily can have significant health benefits) (WHO Regional Office for Europe, 2020[25]).

  • Cross-border trade: for geographical reasons, alcohol taxation policies are not solely a domestic issue for certain countries. Specifically, a decrease in tax encourages residents in neighbouring countries to purchase alcohol across the border. It may also encourage neighbouring countries to lower their tax levels to protect the alcohol industry, as seen in the Baltic region, where Latvia announced a 15% reduction in alcohol duty on strong liquor in response to a similar policy implemented by Estonia (Laizans, 2019[26]).

  • Illegal trading: steep increases in the price of alcohol can encourage illegal trade. It is estimated that 25% of all alcohol consumed is illegally sourced (OECD, 2016[27]).

In addition to the three tax types mentioned above, some governments have become increasingly interested in minimum unit pricing (MUP). MUP is a policy tool that sets a mandatory floor price per unit of alcohol or standard drink,2 thereby targeting cheap alcoholic beverages. Unlike taxes, it prevents retailers from absorbing the additional cost of production. Further, it has been argued that MUP is more effective, since problem drinkers and/or young people are more likely to consume cheap forms of alcohol (O’Donnell et al., 2019[28]). Other minimum pricing tools are detailed in Box 6.2.

Several countries have implemented MUP, including Canada (certain provinces) (see Box 6.3), one territory in Australia, the United Kingdom (Scotland and Wales) and the Russian Federation (Box 6.3) (Boniface, Scannell and Marlow, 2017[33]; Coomber et al., 2020[34]). Empirical research evaluating MUP, to date, has found promising results. In the United Kingdom (Scotland), O’Donnell et al. (2019[28]) found that MUP led to a 7.6% reduction in alcohol purchases, which is equivalent to 41 alcohol units per person, per household every year. The impact on price was greatest in households that consumed the most alcohol, indicating that the policy was successful at targeting people who drink heavily. Findings from this research is supported by more recent analysis undertaken by Public Health Scotland and the University of Glasgow, which found that alcohol sales in supermarkets and off-licence outlets fell by 4.5% one year after the introduction of MUP (with the impact greatest for cheap products) (Christie, 2020[35]; Public Health Scotland, 2020[36]). In Australia, an investigation into the introduction of MUP in the Northern Territory (AUS 1.30 per standard drink) found that the policy led to a reduction in the wholesale supply of alcohol per capita (by 0.22 litres of pure alcohol), a reduction in alcohol-related assaults and a fall in alcohol-related ambulance and emergency admissions (Coomber et al., 2020[34]).

To restrict alcohol availability and thereby limit the opportunity for people to purchase and consume alcohol, policy-makers may restrict the hours or even full days within a week during which alcohol can be sold. These restrictions may apply to on-premise (e.g. restaurants and bars) and/or off-premise establishments (e.g. liquor stores), and typically target late-night drinking in order to reduce alcohol-related violence and injury (Hahn et al., 2010[47]).

The literature evaluating the impact of this policy focuses on alcohol-related harm. A systematic review by Wilkinson et al. (2016[48]), which largely concentrated on studies undertaken in Australia, demonstrated that reducing hours of sale (at night) for on-premise outlets substantially reduces rates of violence. This conclusion was drawn from 21 studies including:

  • Kypri et al. (2011[49]), who found that a mandatory closing time of 03:30 and a lockout of 01:30 (meaning no entry for anyone not already in a venue) for pubs in Newcastle, Australia, led to a 37% reduction in assaults between 22:00 and 06:00. These were sustained for five years following the study (Kypri, Mcelduff and Miller, 2014[50])

  • Rossow and Noström (2012[51]) who, based on data from 18 cities in Norway, estimated that extending opening times by one hour leads to a 16% increase in recorded assaults.

    Regarding days of sale, a recent meta-analysis by Sherk et al. (2018[52]) found that one additional day of sale leads to a 3.4% increase in total per capita consumption of alcohol.

Forty-three percent of OECD countries with available data restrict alcohol sales by hour in both on- and off-premise outlets; however, the same proportion apply no restrictions at all (Figure 6.6). Restrictions by days of sale are less common, with just 11% of OECD countries applying this restriction to both premise types and 73% applying no restrictions (the remainder of countries either have no data or apply restrictions to off-premises only).

In addition to restricting hours and days of sale, policy-makers may also limit the number and concentration (e.g. by population size) of outlets in a given area with a permit to sell alcohol (for consumption on site or elsewhere).

Evidence for this policy indicates that reducing outlet density results in lower consumption and alcohol-related harm (Campbell et al., 2009[53]), and that the effects may be felt more strongly by target groups such as socially marginalised drinkers (Livingston, Chikritzhs and Room, 2007[54]; Gruenewald, 2011[55]). For example, in the United States:

  • Gruenewald et al. (2006[56]) found that a 10% increase in the number of off-premise outlets led to a 2.06% increase in violence rates resulting in one additional overnight stay in hospital.

  • A longitudinal analysis by Brenner et al. (2015[57]) concluded that a one standard deviation increase in outlet density resulted in a 7% rise in alcohol consumption for men, with this figure rising to 11% for women.

Designing and implementing a policy to restrict outlet density requires careful design, as outlet types (e.g. bars, restaurants, liquor stores and supermarkets) cannot be treated as homogeneous. To date, most of the literature combines the impact of on- and off-premise outlets, which is a key limitation (Wilkinson, Livingston and Room, 2016[48]; Gmel, Holmes and Studer, 2016[58]; Sherk et al., 2018[52]).

The sale of alcohol can also be restricted by the location and type of outlet (such as petrol stations). Lithuania, as of January 2020, has banned alcohol sales on beaches and pavilions, as well as during public events for drinks with an alcohol content above 7.5% (Rehm, Štelemėkas and Badaras, 2018[59]). Latvia plans to stop the sale of alcohol at service stations as part of its action plan to reduce alcohol consumption and related harms (Ministry of Health of the Republic of Latvia, 2019[60]).

Restricting the number of outlets, although recommended by the WHO (2017[7]), is only applied to on-premise outlets in five OECD countries, with this figure increasing to seven for off-premise outlets (see Figure 6.7and Box 6.4 for a country example).

Many risks are associated with early onset of drinking, such as violence and injury, as well as a greater likelihood of developing alcohol dependence in adulthood (Grant et al., 2006[62]). Given that the availability of alcoholic drinks is a significant predictor of drinking behaviour among young people (Wagenaar, Salois and Komro, 2009[15]; Kypri et al., 2008[63]) most countries have set a minimum age at which people can purchase or consume alcohol legally. Despite legally mandated age limits for purchasing alcohol, however, a high proportion of minors have consumed or regularly consume alcohol (see Chapter 2, Section 2.3).

For minimum age restrictions to reduce underage drinking significantly, they must be strictly enforced by the law. In the Netherlands, alcohol vendors took part in an experiment to test new forms of technology to increase compliance with legal age limits, specifically through a remote age verification system. This system links the cash register to a live video connection, where a remote agent approves or declines purchases. An evaluation of the remote age verification system found that 87% of purchases were conducted without any mistakes compared to 34% for traditional identity document readers (Van Hoof, 2017[64]).

The legally mandated minimum age for purchasing alcohol in OECD countries ranges from 16 to 21 years, with most setting the threshold at 18 years (Figure 6.8). The vast majority of OECD countries (84%) apply the same threshold across all alcohol types; those who do not typically increase the minimum age by two years for spirits (e.g. in Norway and Finland (off-premise), the minimum age is 18 for beer and wine but 20 for spirits).

Given the damage caused by early onset of drinking, several countries have raised the minimum legal drinking age. For example, Lithuania raised the age limit from 18 to 20 years in 2018 (Nordic Alcohol and Drug Policy Network, 2017[65]), while in the Netherlands, the age limit rose from 16 to 18 back in 2014 (Schelleman-Offermans, Roodbeen and Lemmens, 2017[66]).

Drivers with alcohol in their system are at greater risk of being involved in a road traffic crash. A study undertaken by Taylor and Rehm (2012[68]) estimated that for every 0.02% increase in an individual’s blood alcohol content – the percentage of alcohol in a person’s blood stream – the probability of being in a fatal motor vehicle crash increases by approximately 70% (odds ratio recorded was 1.74).

Given the higher risk of accidents when driving under the influence of alcohol, it is common for countries to employ blood alcohol concentration (BAC) limits for drivers, which may differ according to the type of driver. Specifically, novice or young drivers and professional drivers are often subject to lower BAC limits than the general population (WHO, 2020[10]).

The majority of OECD countries (57%) set the BAC limit at 0.05% for the general population. The highest BAC limit in OECD countries is 0.08% and is enforced in four OECD countries: Mexico, the United States (with the exception of Utah), Canada and the United Kingdom (with the exception of Scotland, where the limit is set at 0.05%) (Figure 6.9). Over half of OECD countries (n = 21) enforce lower BAC limits for professional and novice/young drivers. In these countries, BAC limits range between zero tolerance to 0.03% for professional and novice/young drivers and between 0.04% and 0.05% for the general population (WHO, 2020[10]).

In recent years, several countries have reduced – or plan to reduce – BAC limits in an effort to cut road traffic crashes caused by alcohol. For example:

  • In 2019, Iceland lowered its BAC limit from 0.05% to 0.02%.

  • In 2019, Korea lowered its BAC limit from 0.05% to 0.03% (Japan implemented the same change in 2002).

  • In 2015, Lithuania lowered its BAC limit for novice and professional drivers from 0.02% to 0%.

  • In 2014, Scotland lowered its BAC limit from 0.08% to 0.05%.

  • In 2017, Spain announced that it would cut the BAC limit from 0.03% for novice and professionals drivers to 0% (as of January 2020, this change had not been implemented) (European Transport Safety Council, 2018[69]; Scottish Government, 2018[70]; OECD, 2020[71]).

    Studies analysing the impact of these cuts differ across countries. In Japan, lowering the BAC limit was associated with a reduction in crashes for 16-19 year-olds by 64%, for adult females by 50% and for adult males by 52% (Desapriya et al., 2007[72]). In a similar study, Nagata et al. (2008[73]) found a reduction in alcohol-related road traffic fatalities and injuries. An analysis of the Scottish experience found a reduction in alcohol consumption from on-premise outlet sales but no change in road traffic crashes. Authors suggest this may be due to the new limit not being properly enforced (Haghpanahan et al., 2019[74]).

BAC limits alone are not sufficient to alter behaviour and therefore reduce alcohol-related crashes. Drivers must also believe they are at risk of encountering a sobriety checkpoint. There are two types of sobriety checkpoints:

  • selective breath tests: pre-determined check points where police officers must have reason to believe the driver is under the influence of alcohol to test blood alcohol levels

  • random breath tests: for which drivers are selected at a random to have their blood alcohol level tested (Bergen et al., 2014[75]).

Evidence on the effectiveness of sobriety checkpoints largely comes from the United States. Ecola et al. (2018[76]) summarised findings from five meta-analyses, which indicate that selective and random breath tests play a significant role in reducing road traffic crashes. As an example, Bergen et al. (2014[75]) estimated that sobriety checkpoints led to, on average, an 8.9% decrease in fatalities related to drink-driving. Similarly, Erke et al. (2009[77]) found that checkpoints resulted in a reduction in crash injuries by 16% and fatalities by 6%. Regarding cost-effectiveness, a 2014 systematic review concluded that the benefits associated with sobriety checkpoints exceed the associated costs, with cost-benefit ratios ranging from 2:1 to 57:1 (Bergen et al., 2014[75]). To maximise the potential of sobriety checkpoints, it is important they are widely publicised, highly visible and conducted frequently (US Department of Transportation, 2017[78]).

With the exception of Mexico, all OECD countries implement one or both sobriety checkpoints (WHO, 2020[10]).

Drivers caught driving over the legal BAC limit are subject to penalties, which vary in intensity. Common penalties include community service, detention, vehicle impoundment, fines, licence suspension and ignition interlock requirements (discussed later in this section).

An analysis of penalties across OECD countries revealed that the majority (n = 34) penalise drink-drivers by suspending or revoking their licence and/or imposing a fine (n = 28). Long- or short-term detention is another common tool to punish drink-drivers (n = 27); vehicle impoundment, mandatory treatment and community service are used to a lesser extent (WHO, 2020[10]). For example, Slovenia has introduced stricter legislations for drink-drivers, which includes mandatory rehabilitation for severe drink-driving offenders (i.e. education and psychosocial workshops). A further example from Korea is provided in Box 6.5.

Ignition interlocks require drivers to take a breath test to assess their blood alcohol reading in order to start their vehicle. Ignition interlocks can also be installed voluntarily – for example, in commercial vehicles transporting goods (Vanlaar, Mainegra Hing and Robertson, 2017[79]; European Transport Safety Council, 2018[69]).

An evaluation of an ignition interlock programme in Canada (Nova Scotia) concluded that the scheme was successful in reducing recidivism rates (Vanlaar, Mainegra Hing and Robertson, 2017[79]). Specifically, the study compared recidivism rates between three groups of offenders: 1) those who voluntarily agreed to use the ignition interlock; 2) those who were mandated to use the ignition interlock; and 3) those who made up the control group, who were not enrolled in the ignition interlock programme. The offenders who agreed to use the ignition interlock had a lower recidivism rate while the device was installed (0.9% for voluntary and 0.3% for mandatory participants) compared to those not enrolled (8.9%). Although recidivism rates rose once the device was removed (1.9% for voluntary and 3.7% for mandatory enrolees), the rates were still significantly below those who did not enrol, suggesting that the scheme had an ongoing impact. These findings echo previous research by Elder et al. (2011[80]), which largely focused on the United States.

Five OECD countries currently penalise first-time drink-drivers with ignition interlocks, and one further country imposes this penalty for repeat offenders (National Conference of State Legislatures, 2018[81]; WHO, 2020[10]):

  • first-time offenders: Belgium, Canada, Denmark, France and certain states in the United States

  • repeat offenders: New Zealand and certain states in the United States.

Marketing techniques are used to associate alcohol products with positive sentiments (e.g. fun, excitement, social status, success) in order to promote favourable attitudes to alcohol. Marketing therefore plays a role in supporting an “alcogenic environment” (Hill, Foxcroft and Pilling, 2017[82]). Further, recent research suggests that there is a causal relationship between marketing and subsequent drinking (Sargent, Cukier and Babor, 2020[83]; Sargent and Babor, 2020[84]).

Restrictions on marketing efforts – how, when and where they can be used and who they can target – are widely applied, although only very few countries have comprehensive bans in place. Marketing restrictions, specifically advertising, are strongly encouraged at the international level: the WHO classifies this as one of three best buys to combat the harmful use of alcohol (WHO, 2017[7]).

The remainder of this section discusses alcohol marketing on traditional and new media platforms, with a focus on advertising and sport sponsorship.

Alcohol brands have previously focused on traditional media channels such as television, radio and print media. Research suggests that there is an association between alcohol advertising through traditional media channels and alcohol consumption, with young people particularly vulnerable (Smith and Foxcroft, 2009[85]). Most recently, Jernigan et al. (2017[86]) concluded from their systematic review that there is a positive association between exposure to alcohol marketing and initiation of alcohol consumption, as well as binge and hazardous drinking. For example, one of the studies in the review, which included adolescents from Germany, Italy, Poland and the United Kingdom (Scotland), found that those who reported having a favourite alcohol advertisement at baseline were 1.45 times more likely to report binge drinking on follow-up (12 months later) compared to those who did not have a favourite advertisement (Morgenstern et al., 2014[87]).

Across analysed countries, most countries employ some form of statutory restriction on alcohol advertisements (see Box 6.6 for a description of different forms of restrictions). For example, regarding beer and wine, over 60% of countries apply partial restrictions on national television advertisement, while a further 16% employ a full statutory ban (Figure 6.10). Only two countries extend full advertising bans across all media channels: Norway (see Box 6.7) and Turkey.

Active surveillance schemes to monitor adherence to alcohol advertising regulations also exist and are implemented by 35 of the 37 OECD countries. In Australia, alcohol marketing is characterised as a “quasi-regulatory” system, with guidelines (the Alcohol Beverages Advertising Code (ABAC) Scheme) set by industry, advertising and government representatives (see Box 6.8 for further details) (ABAC Scheme, 2019[94]). Similar arrangements exist in the United Kingdom, New Zealand and Japan (Noel, Babor and Robaina, 2016[95]).

A systematic review of industry self-regulation concluded that alcohol advertisements continually violate self-regulatory codes, meaning that young people are frequently exposed to alcohol advertising material (Noel, Babor and Robaina, 2016[95]).

Adults and children spend an increasing amount of time on their mobile devices, with data showing that phone use is more prevalent than time spent watching television (Ofcom, 2018[102]; He, 2019[103]; OECD, 2020[104]). Consequently, the advertising landscape has significantly altered, with brands shifting their focus from traditional forms of media to digital media platforms, including social media.

Unlike traditional media platforms, digital advertising strategies are less concerned about exposure to content. Rather, the focus is on maximising engagement with content (Carah and Meurk, 2017[105]) – for example, the amount of time spent viewing, interacting and/or recommending content, which together reflects the quality of user-brand engagement. Digital media platforms encourage user engagement by employing algorithms that create unique content for individual users based on previous search activity. Further, these algorithms allow alcohol brands to target individuals who are more likely to consume their products, including children (OECD, 2020[104]; Carah and Meurk, 2017[105]).

Advertising strategies by alcohol brands have adapted proficiently to the digital age, allowing them to capitalise on its many benefits (such as lower costs and greater reach, as detailed in Box 6.9). This is reflected in advertising expenditure; for example, in the United Kingdom, online advertising expenditure grew by 189% between 2007 and 2016 (from GBP 3 562 to GBP 10 304), while television experienced a 2% decline (from GBP 5 167 to GBP 5 080) (Ofcom, 2017[106]). The increasing role of digital media platforms to advertise alcohol products highlights the importance of expanding media regulatory frameworks – for example, considering digital media platforms when designing regulatory frameworks to curb harmful alcohol consumption (Carah and Meurk, 2017[105]).

Advertising via digital media channels can lead to greater increases in alcohol consumption, particularly when audiences participate (e.g. co-create, share or engage in the content) (Critchlow et al., 2017[109]). For example, a study by Critchlow and colleagues (2019[112]) found that young people (aged 11-19) who currently drink are twice as likely to be high-risk drinkers if they participate in two or more forms of alcohol marketing via social media. This figure increased to over three times for those who participated in user-created promotion. A meta-analysis by Curtis et al. (2018[114]) concluded that there is a statistically significant positive correlation between alcohol-related social media engagement and alcohol consumption among young adults. Finally, a 2017 narrative review established that digital marketing was associated with higher levels of intention to purchase alcohol, as well as consumption (Lobstein et al., 2017[115]). For example, one of the studies included from the United States estimated that advertising on the internet reduced the impact (measured by intent to purchase alcohol) of a ban on traditional media platforms by 62% (Goldfarb and Tucker, 2011[116]).

Alcohol advertising via digital media is proving difficult to regulate for multiple reasons. First, the line distinguishing commercial advertising and user-generated content is blurred, making regulation difficult to implement, monitor and enforce (e.g. user-generated content falls outside a brand’s online space (such as their social media account) and is therefore not subject to regulatory control) (Simons and van Dalen, 2017[108]). Second, alcohol advertising reach is often global, thereby making regulations difficult to enforce at the national level. Third, the ever-changing nature of digital media to optimise user experience means that best practice regulatory approaches change and require updating continually (Kauppila et al., 2019[117]) (Kauppila et al., 2019[117]). It is therefore not surprising that children are frequently exposed to alcohol messages via digital channels (Lobstein et al., 2017[113]). For example, a study on digital media usage in four European countries found that 33% of children aged 13-14 had received promotion emails involving alcohol brands; 18% had downloaded a screensaver that included an alcohol brand; and 66% had come across an internet page including an alcohol brand (de Bruijn, 2013[118]).

Several strategies are available to policy-makers to improve regulation of online advertising. These include reviewing, updating and broadening the scope of marketing regulatory frameworks to ensure that they meet the unique challenges posed by digital media; enhancing stakeholder collaboration – for example, through public-private partnerships; regular evaluation of policy measures to ensure that they remain relevant (using consistent indicators where possible); and regional and international collaboration, since online advertising material crosses borders (OECD, 2012[119]; Carah and Meurk, 2017[105]; WHO Regional Office for Europe, 2018[107]).

To assist countries on a more practical level, in 2019 the EU27 released an online toolkit to help countries update their marketing-related policies (i.e. code of conduct), including those related to alcoholic beverages. The toolkit is designed to cover digital forms of media and consists of three key parts (European Commission, 2019[120]):

  1. 1. Code structure: an overview of sections that should be considered when developing a code of conduct (general information of a code, marketing restrictions and monitoring and evaluation)

  2. 2. Code checklist: a list of key aspects that a marketing code should include

  3. 3. Practical guidance: an inventory of specific actions (in line with key aspects from the code checklist) that are currently included in existing marketing codes.

Relative to traditional forms of media, fewer OECD countries have regulatory arrangements in place to limit alcohol advertising via social media (see Figure 6.11). Further, where regulatory arrangements do exist, they are partial restrictions. For example, in Estonia regulations forbid alcohol advertising on social media networks, except on the website of the account handle of the alcohol brand. As part of this ban, alcohol brands cannot share user-generated content or content that is intended to be shared (e.g. competitions and prizes, production of videos intended to go viral) (WHO, 2018[121]; EUCAM, 2018[110]). Another key example is that of Finland, which in 2015 introduced new restrictions targeted at social media (see Box 6.10 for further details). Following an inquiry by the Australian Competition and Consumer Commission, the Australian Government started a two-phase process that will review the advertising rules and restrictions across all delivery platforms and will monitor and enforce the regulatory framework across all platforms (Australian Government, 2019[122]).

Efforts by the alcohol industry to self-regulate digital advertising content have, to date, had little impact. A prominent example of digital self-regulation is the Digital Guiding Principles developed by the International Alliance for Responsible Drinking (IARD) (Box 6.11). A systematic review by Noel et al. (2020[123]) found that the Principles have not prevented alcohol advertising exposure to young people and other vulnerable populations.

Sport sponsorship allows alcohol producers to “promote their product and create a positive, emotional relationship between the brand and consumers” (Babor, Robaina and Noel, 2018[125]). The sporting industry is vast, covering a range of demographic groups, thereby providing high levels of exposure (The Business Research Company, 2019[126]). For this reason, the alcohol industry is a key sponsor of sporting events, sporting teams and individual athletes across the world (Jones, 2010[127]).

Sport sponsorship by the alcohol industry comes in many different forms, including logos on players’ uniforms and replica items bought by spectators; on-field/court signage; and interactive food, drink, music and game events hosted at sporting tournaments. Such sponsorship deals are not confined to major sporting events, with brands also sponsoring clubs at the local level (Brown, 2016[128]).

Several studies analysing the level of exposure alcohol brands receive during sporting events highlight the prevalence of the alcohol industry in this sector. For example, Chambers et al. (2017[129]) examined five key sporting events – including football, tennis, rugby and cricket – and found that alcohol brands were visible between 24.1% and 47.1% of the time, with the exception of cricket (9%). This equated to between 1.6 and 3.8 brand exposures per minute. In Australia, a study by Monash University in 2015 discovered that nearly 90% of alcohol advertisements aired in the daytime were played during sports broadcasts, compared to 14% in the evening (O’Brien et al., 2015[130]). These results suggest that children are highly exposed to alcohol brands.

There are public health concerns regarding alcohol industry’s sponsorship of sport, since alcohol advertising is associated with initiation of drinking for previous non-drinkers and higher levels of consumption among current drinkers (Smith and Foxcroft, 2009[85]; Houghton et al., 2014[131]). Studies have also examined the impact sponsorship has on athletes and sporting club members – specifically, its impact on consumption (Brown, 2016[128]). For example, O’Brien et al. (2014[132]) found that university students in the United Kingdom whose team and club are sponsored by the alcohol industry are approximately twice as likely to report hazardous levels of drinking (measured using the Alcohol Use Disorders Identification Test questionnaire – a method to screen for excessive drinking and to assist in brief assessment; see Section 6.7.1 for further details) as those with no sponsorship.

In response to public health concerns, most OECD countries have implemented some form of ban to restrict the alcohol industry’s influence in sport (Figure 6.12). Across OECD countries, Spain, France, Norway and Turkey have implemented legally binding bans on sport sponsorship across all beverages (WHO, 2018[133]). A further 17 countries apply partial or voluntary restrictions (e.g. restrictions on sponsoring sporting teams and/or sporting events), while 14 countries apply no restrictions.

Increasingly, policy-makers are investing in preventive measures to help people stay healthy for longer. Preventing the escalation of alcohol-related diseases through screening and brief interventions (SBIs) is an example of this.

SBIs are designed to identify, at an early stage, individuals with a “real or potential” problem with alcohol and to motivate them to address the issue (Babor and Higgins-Biddle, 2001[134]). The process begins by screening individuals, which involves a series of questions related to their level of alcohol consumption. Many tools are available to screen for alcohol-related problems, including:

  • Alcohol Use Disorders Identification Test (AUDIT): a 10-item screening tool developed by the WHO, with separate identification tests for those administered by health professionals and by individuals (self-reported). Test outcomes (low risk; risky or hazardous drinking; high risk; or dependence) are used to inform advice/interventions provided by a health professional. A shorter test also exists, AUDIT-C, which involves just three questions. Both tests are intended to be used in a primary care setting (Babor et al., 2001[135]).

  • CAGE questionnaire: a four-item questionnaire to identify alcohol problems over an individual’s lifetime (including question such as: Have people annoyed you by criticising your drinking?). Similar to AUDIT, it is designed for use in primary care.

  • Fast Alcohol Screening Test (FAST): a four-item questionnaire, which was developed based on AUDIT. It was developed for use in emergency care settings, but it can be used in various other health and social care environments.

Those identified as being at risk receive further assistance via a brief intervention (of between 5 and 30 minutes depending on the health professional, delivered over 1-5 sessions). If, however, the person is a dependent drinker, they will be referred to more specialised treatment. Brief interventions therefore target hazardous and harmful drinkers (see Box 2.3 for details on definitions) as opposed to dependent drinkers, who require greater levels of support (Kaner et al., 2018[136]).

The brief intervention manual for hazardous and harmful substance use in primary care developed by the WHO outlines the following steps (referred to as the Alcohol Smoking and Substance Involvement Screening Test (ASSIST) manual) (WHO, 2010[137]):

  • Asking: asking clients whether they would like to see their questionnaire scores.

  • Feedback: offering personalised feedback on scores using the ASSIST feedback report card.

  • Advice: providing advice on how to reduce the risks associated with substance use.

  • Responsibility: allowing clients to take responsibility for their choices.

  • Concerned: getting feedback from clients on how concerned they are about their scores.

  • “Good” and “less good” things: weighing what is good about using the substance against what is less good.

  • Summarise and reflect: going over clients’ feedback on substance use emphasising the “less good things” and how clients feel about these.

  • Take-home materials: providing clients with materials they can use to complement the brief intervention.

Evidence on the effectiveness of SBIs largely relates to primary care interventions and is positive. Kaner et al. (2018[136]) in their systematic review estimated that after one year, brief interventions reduced individuals’ alcohol consumption by 20 g a week compared to those who received no or minimal interventions. SBIs are also estimated to be cost-effective. For example, Angus et al. (2016[138]) modelled the impact of a national SBI programme across Europe and found it would be cost-effective in 24 of 28 EU countries and dominate in 14 countries (“dominate” indicates that brief interventions are more effective and cheaper than no or minimal interventions).

Given that individuals who drink to excess are not as likely to seek help for alcohol-related issues, primary care is an ideal setting for SBIs, as it provides health professionals with an opportunity to screen individuals who are visiting for alternative reasons. Further, patients may be more willing to act on advice provided by primary health care professionals with whom they have an ongoing relationship (Henry-Edwards et al., 2003[139]). Screening in a primary care setting is particularly important for women of reproductive age, since past drinking habits are a strong predictor of prenatal consumption (Barry et al., 2009[140]). Thus, screening can play an important role in reducing drinking during pregnancy and therefore the prevalence of adverse pregnancy and birth outcomes (Denny et al., 2019[141]).

Among OECD countries, 90% with available data have developed and implemented national guidelines and standards of care for SBIs in primary care related to hazardous and harmful alcohol use (Figure 6.13). For example, in the United Kingdom (England), an SBI is undertaken as part of a normal health check (Box 6.12).

Within the health care sector, SBIs are also used in emergency departments and in settings that treat patients for whom alcohol is particularly harmful (e.g. pregnant women during obstetric visits) (Moyer and Finney, 2015[144]). This approach is common in countries such as Spain, Finland, the United Kingdom, Hungary, Latvia, the Netherlands, Portugal and Sweden (WHO, 2014[145]). A weakness with this approach is that it overlooks key groups, such as younger people, who access health care less frequently. For this demographic, SBIs in community settings (e.g. local government and social services) may be more useful (Derges et al., 2017[146]).

Outside the health care sector, SBIs may also be used by workplaces, particularly in fields where harmful alcohol use is dangerous to others (e.g. drivers, and public safety and national security roles) (Eurofound, 2012[147]). Workplaces are viewed as an opportune setting, since they are where employed adults spend a large proportion of their day (see Box 6.13 for further details on workplace-based interventions) (Wolfenden et al., 2018[148]).

Thanks to advances in technology, people are increasingly complementing or replacing traditional face-to-face interventions with digital interventions. Digital interventions are delivered via a computer or mobile device (e.g. laptop, mobile phone or tablet) and include examples such as mobile apps to assess and monitor alcohol consumption; text message interventions; online chat rooms and fora; and online access to health professional counselling.

Digital interventions have a number of advantages over traditional face-to-face interventions, such as:

  • Greater reach: digital interventions have the potential to reach a larger number of people as services can be accessed anywhere at any time. This is important for hard-to-reach groups such as those living in rural/remote areas and younger people, who access health care less frequently. However, it may also lead to uneven access, since those with a lower socio-economic status are less likely to own a smartphone, which is an increasingly common platform for such interventions (Nesvåg and McKay, 2018[159]). Further, evidence from O’Connor et al. (2016[160]) and Hardiker and Grant (2011[161]) found that those with lower levels of education and literacy, as well as older people and certain ethnic groups, were less likely to use digital health technologies.

  • Lower barriers to access: problem drinking is often associated with shame and embarrassment, which prevents people from seeking help. The anonymity of receiving support online can help break down this barrier.

  • Lower cost: digital interventions can be cheaper and therefore relieve financial pressure on health providers, including governments, as well as on patients. For example, the Australian Government funds an online intervention service free of charge, which provides one-on-one assistance with qualified health coaches. A similar service provided face to face would typically cost a patient AUD 180/hour (approximately USD 120) through the country’s universal health insurance scheme (Medicare) or private health insurance (see Box 6.14).

  • Continuity: the impact of SBIs on alcohol consumption reduces over time (Wutzke et al., 2002[162]). Digital interventions allow individuals ongoing access to support and therefore have the potential to change long-term behaviours. However, evidence on rates of sustained use vary considerably, and for simple interventions drops quickly (Nesvåg and McKay, 2018[159]).

Research into the effectiveness of digital alcohol interventions is growing at a rapid rate, which aligns with the changing health care landscape. A Cochrane Review in 2017 found “medium-quality evidence” indicating that compared to no or minimal intervention, personalised digital interventions reduce average alcohol consumption by up to three standards drinks a week (Kaner et al., 2017[163]).

People with alcohol use disorders, particularly in the most severe forms, may have trouble controlling consumption, neglect other interests in order to drink and persist with drinking despite clear evidence of its harmful effect.

Compared to other excessive drinkers, dependent drinkers require more intense, specialised treatment. The objective of treatment for dependent drinkers can be either total abstinence or a significant reduction in consumption. The former is necessary for patients with psychiatric or physical comorbidities (e.g. depression, alcohol-related cirrhosis), while the latter is only appropriate for mildly to moderately dependent drinkers (NIAAA, 2005[167]; Moyer and Finney, 2015[144]).

Treatment for dependent drinkers can be broken into two complementary components: psychosocial treatment and pharmacotherapy. Individuals diagnosed with alcohol dependence typically receive psychosocial treatment including cognitive behavioural treatment, contingency management (where individuals are rewarded for evidence of positive behaviours), motivation enhancement therapy (designed for patients to internally motivate change), coping skills training and support groups (e.g. Alcoholic Anonymous) (Witkiewitz, Saville and Hamreus, 2012[168]). Psychosocial treatment has been shown to be effective for alcohol dependence, but relapse within the first year is common. It is therefore often partnered with pharmacological treatments such as naltrexone, which are administered after the detoxification process in order to minimise the euphoria associated with alcohol consumption (Rösner et al., 2010[169]).

Alcohol labels are designed to enhance consumer knowledge to ensure that individuals have the necessary information to decide whether and how much they drink. Labelling is provided at the point of sale and in advertisements; however, it is most prominent on alcohol containers, which is the focus of this section (Siggins Miller, 2017[170]).

Labelling is considered a key policy for tackling harmful use of alcohol. For example, in 2017, the WHO listed labels to inform consumers of alcohol-related harm among its recommended alcohol policies (WHO, 2017[7]).

Information provided by labels differs across OECD countries, with no uniform approach applied. Nevertheless, a review of current labelling arrangements highlighted two commonly implemented approaches:

  1. 1. Nutritional information: to educate consumers on relevant nutritional aspects of the specific alcoholic product.

  2. 2. Health warnings: to inform consumers of the potential health risks associated with consuming alcohol.

Alcohol consumption is a significant contributor to total calorie intake for both men and women. In Australia, results from the latest nutrition survey (2018) found that over one-third of all energy intake comes from discretionary foods (food high in energy and low in nutrients), of which alcohol is the largest contributor (AIHW, 2018[171]). For example, 5% of all calories consumed by those aged 19-30 comes from alcohol, and this figure rises to 7% for adults aged 51-70 years. Similar results were found in the United Kingdom, Canada and the United States (Box 6.15).

Despite the growing obesity epidemic in many countries (OECD.Stat, 2019[177]), the contribution of alcohol to calorie intake has received little attention. This is reflected in low levels of consumer knowledge about the link between alcohol and calorie content. For example, a 2014 study by the UK Royal Society of Public Health found that 80% of adults surveyed did not know the calorie content of common alcoholic drinks (Sim, 2015[178]). Similar results were found in a selection of European countries, where the vast majority of respondents either incorrectly estimated the number of calories in a regular drink or did not know (GfK Belgium, 2014[179]; Vecchio, Annunziata and Mariani, 2018[180]).

Among OECD countries, only five have a national legal requirement to provide consumers with calorie information on all alcohol containers: Greece, Ireland, Israel, Mexico and Turkey (WHO, 2018[181]).3 Several other countries have engaged, or plan to engage, in voluntary agreements with industry to provide this information. For example, in the United Kingdom, England’s Department of Health in 2011 launched a Public Health Responsibility Deal with businesses and public bodies, which pledged to raise awareness of the calorie content within alcohol drinks (pledge A3) (Knai et al., 2015[182]). However, a review of the Responsibility Deal in 2017 revealed that little progress had been made, with less than 2% of all alcohol products containing calorie information on their labels (Petticrew et al., 2017[183]). More recently in Slovenia (2020), the Nutrition Institute in co-operation with the Slovenian Consumers’ Association, the Jožef Stefan Institute and the National Institute of Public Health launched a new research programme to inform people on the composition and nutritional value of alcoholic beverages (“You know what you drink: employing mobile application for reducing alcohol related harm”) (Nutrition Institute, 2020[184]).

At the EU27 level, in response to calls for mandatory measures, the alcohol industry submitted a self-regulatory proposal (in March 2018) to include nutrition information and ingredients on labels or an online link/bar code/QR code that can be used to access this information. In June 2019, representatives of the spirits industry signed a memorandum of understanding committing them to provide energy labels on 66% of all containers by the end of 2022. Later that year, Brewers of Europe and its member signed a memorandum of understanding to provide ingredient and energy values on all beer bottles and cans, also by 2022 (European Commission, 2019[185]).

Given the limited number of countries with sufficient nutritional labelling arrangements (on alcohol containers) in place, evidence of the policy’s impact is poor (Walker et al., 2019[186]). The research that is available is typically qualitative, and focuses on how participants respond to different labelling schemes (Box 6.16).

Health warning labels come in several different forms across OECD countries (Box 6.17).

Evidence on the impact of alcohol health warning labels suggests that they increase consumer knowledge and awareness of the risks associated with drinking. Using a real-world quasi-experimental study, Hobin et al. (2020[190]) found that recall of a cancer warning label increased at a greater rate for those exposed to the warning label on alcohol containers than for those who were not exposed (when both prompted and unprompted). A study by Schoueri-Mychasiw et al. (2020[191]) found similar results for recall of a drinking guideline message.

The impact of health warning labels on behaviour, however, is less clear, with insufficient evidence to conclude that they reduce consumption (Scholes-Balog, Heerde and Hemphill, 2012[192]; Jones and Gordon, 2013[193]; Stockwell, 2006[194]; Thomas et al., 2014[195]; Knai et al., 2015[182]; Hassan and Shiu, 2018[196]). This does not suggest that health warning labels should be abandoned, however, given that studies to date suffer from several methodological issues such as small sample sizes, lack of control groups and limited longitudinal data (Siggins Miller, 2017[170]; Hassan and Shiu, 2018[196]). Further, labelling is often not implemented as intended, so researchers are not evaluating “best practice” (Al-hamdani, 2014[197]; Stockwell, 2006[194]). For example, a study undertaken by Kersbergen and Field (2017[198]) in the United Kingdom concluded that current warning labels are insufficient to capture consumer attention, and have therefore had limited impact on drinking behaviour.

Based on the literature, including key lessons from the use of labels to tackle other major risk factors such as unhealthy diets, a list of best practice labelling principles is provided in Table 6.2. These can assist countries in designing more effective labels and thereby – as part of a broader alcohol strategy – reducing harms related to alcohol.

Health warning labels on alcohol containers are currently mandatory in 12 OECD countries (Colombia, France, Greece, Israel, Japan, Lithuania, Mexico, Norway, Korea, Portugal, Turkey and the United States) and in the process of implementation in three (Ireland, and also Australia and New Zealand, where the introduction of pregnancy warning labels was agreed in 2020, with a three-year implementation period) (for further details see Box 6.18 and Box 6.19) (WHO, 2020[10]). However, several other countries have voluntary arrangements in place (Siggins Miller, 2017[170]).

Mass media campaigns are a commonly implemented tool used to communicate messages regarding the harmful effects of alcohol consumption. They can have either a direct or an indirect influence on consumer behaviour:

  • Directly, mass media campaigns can affect individual-level decisions to drink less by invoking an emotional or cognitive response (e.g. by alerting people to the health risks associated with drinking, such as cancer).

  • Indirectly, mass media campaigns can alter social norms regarding drinking behaviour; this affects individuals who were not directly exposed to the campaign (Wakefield, Loken and Hornik, 2010[208]). Further, they may enhance population support for the introduction of additional alcohol policies (Christensen et al., 2019[209]).

A systematic review of the effectiveness of mass media campaigns to reduce alcohol consumption and related harm was undertaken by Young et al. (2018[210]). Based on an analysis of 29 studies covering campaigns in Australia, Denmark, Finland, Italy, the Netherlands, New Zealand, the United Kingdom and the United States, the authors concluded that although campaigns can enhance knowledge regarding the impact of alcohol consumption and treatment-seeking behaviour, there is little evidence to suggest they reduce alcohol consumption. Despite this, mass media campaigns are a commonly implemented policy tool among OECD countries. Areas that campaigns typically target in OECD countries are described below.

Drink-driving campaigns aim to reduce road deaths and injuries caused by drivers under the influence of alcohol. These typically target younger drivers and therefore increasingly rely on social media channels such as Facebook and Instagram.

A systematic review of the impact of mass media campaigns found that they reduce instances of drink-driving by around 15% (Yadav and Kobayashi, 2015[211]). The authors did not find an improvement in the number of alcohol-related injuries and crashes; however, this does not mean that mass media campaigns are ineffective. Rather, heterogeneity in study design meant that it was not possible to draw overall conclusions from the studies included.

In the United Kingdom, THINK!, a dedicated campaign body established by the government to run road safety campaigns, has existed for the past 75 years. An evaluation of THINK! between 2013 and 2015 found that campaigns led to a decrease in the social acceptability and perceived safety of driving after two drinks, and that risky drivers were more likely to recognise the campaign and accept that it is possible to be over the BAC limit after two drinks (TNS BMRB, 2016[212]). THINK! frequently targets young drivers; for example, in 2018 it ran a campaign to encourage young men to stop their friends from drink-driving. Portugal too has run a campaign targeted at young drivers since 2002, which aims to encourage friends to choose a designated driver (Box 6.20). Finally, as part of their corporate social responsibilities, a number of alcohol producers are also involved in promoting safe drinking.

Mass media campaigns are commonly employed to improve awareness and knowledge of the long-term risks associated with alcohol consumption. They are important because a low proportion of the population are aware of these risks (Christensen et al., 2019[209]; Gulland, 2016[214]). As an example, a survey conducted by Cancer Research UK found that only 13% of respondents identified alcohol as risk factor for cancer (Sinclair et al., 2019[215]).

Previous studies indicated that mass media campaigns improve awareness of the health risks associated with alcohol consumption. In Denmark, a campaign run by the Danish Cancer Society (Box 6.21) found that awareness of alcohol as a risk factor for cancer rose by 5 percentage points (from 45% to 50% when prompted and from 22% to 27% when not prompted) (Christensen et al., 2019[209]). The campaign also led to increased support for other alcohol policies such as MUP and mandatory nutrition labelling. A similar campaign is run in the Czech Republic (Klinika Adiktologie, 2020[216]).

Mass media campaigns can target either the whole population or a specific subset, such as women of childbearing age. Campaigns targeting this group aim to educate women about the impact drinking can have on pregnancy and birth outcomes. Across Europe, the proportion of women who “totally agree” that alcohol can cause birth defects ranges from approximately 30% to 75%, indicating that campaigns are more relevant in certain countries (Schölin, 2016[217]).

Various organisations across OECD countries are “challenging” people to abstain from alcohol for one month. These campaigns typically run in countries where alcohol plays a significant role in social life (e.g. Australia, New Zealand and the United Kingdom). Unlike campaigns targeted at smokers (e.g. Stoptober in the United Kingdom), the goal is not permanent abstinence. Rather, they are designed to encourage people to think differently about their drinking habits.

A study undertaken by de Visser et al. (2016[218]) found that Dry January participants in Britain reduced their consumption of alcohol six months after completing the challenge. For example, drinking days per week fell from 4.78 to 3.73, while the number of drunk episodes in the last month fell from 2.55 to 1.21. Participants also noted that they felt more able to refuse alcohol in social settings immediately after completing the challenge.

Several other campaigns also exist, including those targeted at short-term consequences (e.g. financial, “hangovers”) and parental behaviour (e.g. educating parents on how their actions influence a child’s attitude towards alcohol).

Despite being illegal, it is common for underage school children/young people to consume alcohol. For example, the Health Behaviour in School-aged Children (HBSC) Survey found that 16% of children aged 11-15 have been drunk at least once (OECD Analysis of HBSC data 2013-14).

Drinking initiation and drinking behaviours among school-aged children are a cause of concern for many reasons, including poorer performance at school and lower life satisfaction (see Chapter 5 for further details). For these reasons, school-based drug prevention programmes are common. Historically, alcohol prevention programmes have focused on addressing alcohol knowledge gaps (e.g. the size of a standard drink); however, interventions have since evolved and are now more interactive. Further, they may consider the interaction between students, alcohol and the social and cultural environment (Lee et al., 2016[219]).

A recent systematic review of school-based alcohol prevention programmes in Australia found programmes typically followed one of two approaches: a social influence approach or cognitive behavioural therapy. The former is based on the idea that young people use drugs, such as alcohol, due to social and psychological pressure from peers, family and the media. Therefore, these programmes aim to teach young people skills to resist pressure to drink. The latter aims to assist individuals with analysis of irrational or negative “patterns of thinking, emotion, reactions and behaviours” (Teesson, Newton and Barrett, 2012[220]).

Several evaluations of school-based alcohol prevention programmes have been undertaken. Recently, MacArthur et al. (2018[221]) found that school-based interventions targeting multiple risk behaviours compared to “usual practice” reduced alcohol use from 163 per 1 000 students to 123 per 1 000 students 12 months after implementation (odds ratio = 0.72, which equates to a 28% reduction in alcohol use). However, the evidence suggests no long-term effects after the end of the period of exposure. These results support earlier studies – for example, a systematic review of the effectiveness of universal school-based programmes (i.e. delivered to all students, not just those at risk) concluded that they can be effective in reducing drunkenness and binge drinking (Foxcroft and Tsertsvadze, 2011[222]). In addition, Lee et al. (2016[219]) analysed 40 studies, of which three were considered to have evidence of a positive effect. Example school-based interventions from either of these studies are summarised in Box 6.22.

Across analysed countries, 47% have in place national guidelines regarding the prevention and reduction of alcohol-related harm in schools. This figure increases to 51% when analysing OECD countries only (Figure 6.17). A country with no national school guidelines does not necessarily mean that students are not accessing alcohol prevention programmes. For example, in Australia, where they are no national guidelines, students may access the Climate programme (Lee et al., 2016[219]).

The harmful consumption of alcohol is a complex, multi-layered issue facing many countries. For this reason, one single policy tool to tackle the issue does not exist; rather, a suite of complementary policies is needed to create an environment that supports no harmful drinking. The Russian Federation, for example, experienced a significant drop in alcohol consumption and mortality following years of reform, which included policies targeting pricing, production, drink-driving, availability and advertising (Box 6.23). In 2016, Lithuania introduced a range of policies including advertising bans, an increase in the minimum legal age, shorter retail hours and price increases, which has aligned with a decrease in alcohol consumption (see Figure 2.6) in Chapter 2, which shows that Lithuania recorded the second largest decline in alcohol consumption among OECD countries between 2010 and 2018). The extent to which policy changes were responsible for the decline in consumption will be estimated in a future study (Rehm, Štelemėkas and Badaras, 2018[232]).

Other countries are in the process of reforming their alcohol strategies, such as Ireland, which in 2018 approved the Public Health (Alcohol) Act to reduce annual alcohol consumption by two litres per person by 2020 (from 11 to 9.1 litres for those aged over 15). Example policies in the Act include MUP; restrictions/bans on alcohol sponsorship during certain events; restrictions on alcohol advertising across different media and locations and on advertisement content; restrictions on promotions such as “buy one get one free”; and health labelling on alcohol products including energy value, alcohol content and health risks (Department of Health, 2019[233]).

Comprehensive policy packages are needed to reduce hazardous and harmful alcohol consumption. Substantial evidence on the effectiveness and cost-effectiveness of alcohol policies exists. This should guide the development of policy packages that cover a range of interventions, while also taking account of specific contextual issues.

The development of policy packages should include all relevant stakeholders, including law enforcement, schools, social services, local governments and public health experts. A whole-of-society approach to policy development is essential because interventions do not work in silos. For example, changes to the BAC threshold will have a limited effect if enforcement is inadequate (Haghpanahan et al., 2019[74]), further, significant increases in the price of alcohol should go hand in hand with proper support for dependent drinkers on low income to avoid further social harms such as forgoing essential items (Erickson et al., 2018[235]).

Table 6.3 provides an alcohol policy dashboard, which reflects the implementation status of interventions across the ten policy areas within WHO’s Global Strategy to Reduce the Harmful Use of Alcohol (see Box 6.1). The alcohol policy dashboard was developed using a framework developed by the WHO and has been used to assess implementation for countries in the Region of Americas (WHO Regional Office for the Americas, 2018[90]) and Europe (WHO Regional Office for Europe, 2017[236]).4

Alcohol consistently ranks as the drug with the greatest overall harm, since it is associated with several negative health, social and economic outcomes, and is readily available. In 2010, the WHO recognised hazardous and harmful alcohol consumption as a severe public health problem by issuing the Global Strategy to Reduce the Harmful Use of Alcohol, outlining ten domains to assist policy-makers in developing an effective, holistic policy response. These policy domains were used to identify specific policy recommendations within the WHO Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013-2020, which included a target to reduce harmful use of alcohol by 10%.

This chapter analysed policy interventions designed to reduce hazardous and harmful alcohol use, with a specific focus on those included in WHO’s Global Strategy and NCD action plan. Alcohol excise taxes were the most commonly employed intervention, with 84% of OECD countries taxing all beverages (wine, beer and spirits) and the remaining 16% taxing beer and spirits only. However, far fewer OECD countries periodically adjust taxes for inflation (27%), which may have contributed to rising alcohol affordability (see Chapter 2, Section 2.6 for further details).

Restricting the availability of alcohol is another NCD best buy policy intervention. Nevertheless, less than half (43%) of all OECD countries regulate the hours alcohol can be sold, and a similar number apply no restrictions at all. Other policy interventions to restrict availability, such as days of sale and outlet density, are even less common.

The final best buy policy intervention relates to advertising restrictions covering several media types. A policy mapping exercise revealed that OECD countries typically apply some form of restriction on traditional media, including television, print media and radio. However, forms of digital media, including social media, are increasingly replacing traditional media; these represent a major challenge to policy-makers because of their ubiquitous reach and continual creation of user-generated content.

The list of policy interventions outlined above is not exhaustive, with policy-makers implementing various other interventions such as age restrictions, drink-driving limits and regulations on alcohol labels as part of their national alcohol policies.

Harmful alcohol consumption is a complex issue experienced by countries across the world. Therefore, it cannot be addressed through one single policy intervention. Instead, a range of interventions covering pricing, availability, marketing, drink-driving, health treatment and consumer information are needed. Similarly, responsibility for reducing harmful alcohol consumption should not fall solely on governments. Rather, a multi-sectoral approach is needed, which includes law enforcement, schools, health providers, social and community services, local governments and public health experts. Finally, efforts to ensure that policy interventions are enforced are necessary, as a comprehensive policy approach in itself cannot reduce harmful alcohol consumption.

References

[94] ABAC Scheme (2019), About the ABAC Scheme, ABAC Scheme, Stirling, https://www.abac.org.au/about/ (accessed on 21 October 2019).

[171] AIHW (2018), Nutrition Across the Life Stages, Australian Institute of Health and Welfare, Canberra, https://www.aihw.gov.au/getmedia/fc5ad42e-08f5-4f9a-9ca4-723cacaa510d/aihw-phe-227.pdf.aspx?inline=true.

[32] Alcohol Policy Information System (2019), Wholesale Pricing Practices and Restrictions, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, https://alcoholpolicy.niaaa.nih.gov/apis-policy-topics/wholesale-pricing-practices-and-restrictions/3/maps-and-charts (accessed on 7 April 2020).

[197] Al-hamdani, M. (2014), “The case for stringent alcohol warning labels: Lessons from the tobacco control experience”, Journal of Public Health Policy, Vol. 35/1, pp. 65-74, https://doi.org/10.1057/jphp.2013.47.

[229] All Stars (2020), High School, All Stars, Greensboro, NC, https://www.allstarsprevention.com/high-school.html (accessed on 14 April 2020).

[138] Angus, C. et al. (2016), “Estimating the cost-effectiveness of brief interventions for heavy drinking in primary health care across Europe”, European Journal of Public Health, Vol. 27/2, p. ckw122, https://doi.org/10.1093/eurpub/ckw122.

[101] ASTRA (2020), Codes of Practice, Australian Subscription Television and Radio Association, Artarmon, https://www.astra.org.au/advocacy/codes-of-practice.

[189] Australian Alcoholic Beverage Industries (2011), Submission to the Labelling Review Response Secretariat on Alcoholic Beverages.

[89] Australian Communications and Media Authority (2020), Ads for Alcohol, Tobacco or Therapeutic Goods, Australian Communications and Media Authority, Canberra, https://www.acma.gov.au/ads-alcohol-tobacco-or-therapeutic-goods (accessed on 7 April 2020).

[100] Australian Communications and Media Authority (2015), Commercial Television Industry Code of Practice, Australian Communications and Media Authority, Canberra, https://www.freetv.com.au/wp-content/uploads/2019/07/Free_TV_Commercial_Television_Industry_Code_of_Practice_2018.pdf.

[99] Australian Government (2020), Broadcasting Services Act 1992 (No. 110, 1992), Australian Government, Canberra, https://www.legislation.gov.au/Details/C2020C00236.

[122] Australian Government (2019), Regulating in the Digital Age: Government response and implementation roadmap for the digital platforms inquiry, Australian Government, Canberra, https://treasury.gov.au/sites/default/files/2019-12/Government-Response-p2019-41708.pdf.

[237] Australian Government Department of Health (2019), Standard Drinks Guide, Australian Government Department of Health, Canberra, https://www.health.gov.au/health-topics/alcohol/about-alcohol/standard-drinks-guide (accessed on 10 April 2020).

[19] Australian Taxation Office (2019), Wine Equalisation Tax, Australian Taxation Office, Sydney, https://www.ato.gov.au/business/wine-equalisation-tax/ (accessed on 24 October 2019).

[134] Babor, T. and J. Higgins-Biddle (2001), Brief Intervention for Hazardous and Harmful Drinking: A manual for use in primary care, World Health Organization, Geneva, https://apps.who.int/iris/bitstream/handle/10665/67210/WHO_MSD_MSB_01.6b-eng.pdf?sequence=1&isAllowed=y.

[135] Babor, T. et al. (2001), AUDIT: the Alcohol Use Disorders Identification Test – guidelines for use in primary health care, World Health Organization, Geneva, https://apps.who.int/iris/handle/10665/67205.

[125] Babor, T., K. Robaina and J. Noel (2018), “The role of the alcohol industry in policy interventions for alcohol-impaired driving”, in Getting to Zero Alcohol-Impaired Driving Fatalities: A Comprehensive Approach to a Persistent Problem, National Academies Press, Washington DC, https://doi.org/10.17226/24951.

[140] Barry, K. et al. (2009), Reducing Alcohol-Exposed Pregnancies: A report of the National Task Force on Fetal Alcohol Syndrome and Fetal Alcohol Effect, Centers for Disease Control and Prevention, Atlanta, GA, https://www.cdc.gov/ncbddd/fasd/modules/RedAlcohPreg-textonly-P.pdf.

[173] Bates, B. et al. (2017), National Diet and Nutrition Survey: Results from Years 1, 2, 3 and 4 (combined) of the Rolling Programme (2008/2009-2011/2012), Public Health England, London, https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/594361/NDNS_Y1_to_4_UK_report_full_text_revised_February_2017.pdf (accessed on 14 October 2019).

[43] BBC News (2015), Russia: Vodka minimum price cut over economic woes, BBC, London, https://www.bbc.com/news/blogs-news-from-elsewhere-31109471.

[75] Bergen, G. et al. (2014), “Publicized sobriety checkpoint programs”, American Journal of Preventive Medicine, Vol. 46/5, pp. 529-539, https://doi.org/10.1016/j.amepre.2014.01.018.

[205] Blackwell, A. et al. (2018), “Informing drinkers: Can current UK alcohol labels be improved?”, Drug and Alcohol Dependence, Vol. 192, pp. 163-170, https://doi.org/10.1016/j.drugalcdep.2018.07.032.

[13] Blecher, E. (2015), “Taxes on tobacco, alcohol and sugar sweetened beverages: Linkages and lessons learned”, Social Science and Medicine, Vol. 136-137, pp. 175-179, https://doi.org/10.1016/j.socscimed.2015.05.022.

[33] Boniface, S., J. Scannell and S. Marlow (2017), “Evidence for the effectiveness of minimum pricing of alcohol: A systematic review and assessment using the Bradford Hill criteria for causality.”, BMJ Open, Vol. 7/5, p. e013497, https://doi.org/10.1136/bmjopen-2016-013497.

[3] Bonomo, Y. et al. (2019), “The Australian drug harms ranking study”, Journal of Psychopharmacology, Vol. 33/7, pp. 759-768, https://doi.org/10.1177/0269881119841569.

[57] Brenner, A. et al. (2015), “Longitudinal associations of neighborhood socioeconomic characteristics and alcohol availability on drinking: Results from the Multi-Ethnic Study of Atherosclerosis (MESA)”, Social Science and Medicine, Vol. 145, pp. 17-25, https://doi.org/10.1016/j.socscimed.2015.09.030.

[128] Brown, K. (2016), “Association between alcohol sports sponsorship and consumption: A systematic review”, Alcohol and Alcoholism, Vol. 51/6, pp. 747-755, https://doi.org/10.1093/alcalc/agw006.

[53] Campbell, C. et al. (2009), “The effectiveness of limiting alcohol outlet density as a means of reducing excessive alcohol consumption and alcohol-related harms”, American Journal of Preventive Medicine, Vol. 37/6, pp. 556-569, https://doi.org/10.1016/j.amepre.2009.09.028.

[37] Canadian Partnership Against Cancer (2018), Minimum Pricing on Alcohol: Provincial and territorial pricing policies, Canadian Partnership Against Cancer, Toronto, https://www.partnershipagainstcancer.ca/topics/alcohol-minimum-pricing-provincial-territorial/.

[105] Carah, N. and C. Meurk (2017), “We need a media platform perspective on alcohol marketing: A reply to Lobstein et al”, Addiction, Vol. 112/2, p. 370, https://doi.org/10.1111/add.13599.

[164] Carah, N., C. Meurk and W. Hall (2015), “Profiling Hello Sunday Morning: Who are the participants?”, International Journal of Drug Policy, Vol. 26/2, pp. 214-216, https://doi.org/10.1016/j.drugpo.2014.07.019.

[228] Caria, M. et al. (2011), “Effects of a school-based prevention program on European adolescents’ patterns of alcohol use”, Journal of Adolescent Health, Vol. 48/2, pp. 182-188, https://doi.org/10.1016/j.jadohealth.2010.06.003.

[12] Chaloupka, F., L. Powell and K. Warner (2019), “The use of excise taxes to reduce tobacco, alcohol, and sugary beverage consumption”, Annual Review of Public Health, Vol. 40/1, pp. 187-201, https://doi.org/10.1146/annurev-publhealth-040218-043816.

[129] Chambers, T. et al. (2017), “Alcohol sponsorship of a summer of sport: A frequency analysis of alcohol marketing during major sports events on New Zealand television”, The New Zealand Medical Journal, Vol. 130/1448, pp. 27-33, https://pubmed.ncbi.nlm.nih.gov/28081554/.

[209] Christensen, A. et al. (2019), “Can a mass media campaign raise awareness of alcohol as a risk factor for cancer and public support for alcohol related policies?”, Preventive Medicine, Vol. 126, p. 105722, https://doi.org/10.1016/j.ypmed.2019.05.010.

[35] Christie, B. (2020), “Minimum pricing in Scotland leads to fall in alcohol sales”, BMJ, Vol. 369, p. m2324, https://doi.org/10.1136/bmj.m2324.

[223] Climate Schools (2020), Our Research, Climate Schools, Sydney, https://www.climateschools.com.au/our-research (accessed on 14 April 2020).

[17] Cobiac, L., A. Mizdrak and N. Wilson (2019), “Cost-effectiveness of raising alcohol excise taxes to reduce the injury burden of road traffic crashes”, Injury Prevention, Vol. 25/5, pp. 421-427, https://doi.org/10.1136/injuryprev-2018-042914.

[34] Coomber, K. et al. (2020), Investigating the Introduction of the Alcohol Minimum Unit Price in the Northern Territory, Deakin University, Geelong, https://alcoholreform.nt.gov.au/__data/assets/pdf_file/0007/818278/investigating-introduction-of-alcohol-minimum-unit-price-nt-final-report.pdf.

[154] Cortez-Pinto, H. et al. (2010), “The burden of disease and the cost of illness attributable to alcohol drinking: Results of a national study”, Alcoholism: Clinical and Experimental Research, Vol. 34/8, pp. 1442-1449, https://doi.org/10.1111/j.1530-0277.2010.01229.x.

[112] Critchlow, N. et al. (2019), “Participation with alcohol marketing and user-created promotion on social media, and the association with higher-risk alcohol consumption and brand identification among adolescents in the UK”, Addiction Research and Theory, Vol. 27/6, pp. 515-526, https://doi.org/10.1080/16066359.2019.1567715.

[109] Critchlow, N. et al. (2017), “Awareness of, and participation with, user-created alcohol promotion, and the association with higher-risk drinking in young adults”, Cyberpsychology, Vol. 11/2, https://doi.org/10.5817/CP2017-2-4.

[114] Curtis, B. et al. (2018), “Meta-analysis of the association of alcohol-related social media use with alcohol consumption and alcohol-related problems in adolescents and young adults”, Alcoholism: Clinical and Experimental Research, Vol. 42/6, pp. 978-986, https://doi.org/10.1111/acer.13642.

[118] de Bruijn, A. (2013), Report on the Volume of Youth Exposure to Alcohol Advertisements in European Countries. Technical Report of the AMPHORA project to the European Commission, Alcohol Measures for Public Health Research Alliance, Barcelona, http://www.drugsandalcohol.ie/19712/1/AMPHORA_WP4_D1.4.pdf (accessed on 8 April 2020).

[218] de Visser, R., E. Robinson and R. Bond (2016), “Voluntary temporary abstinence from alcohol during ’Dry January’ and subsequent alcohol use”, Health Psychology, Vol. 35/3, pp. 281-289, https://doi.org/10.1037/hea0000297.

[141] Denny, C. et al. (2019), “Consumption of alcohol beverages and binge drinking among pregnant women aged 18–44 years: United States, 2015–2017”, MMWR. Morbidity and Mortality Weekly Report, Vol. 68/16, pp. 365-368, https://doi.org/10.15585/mmwr.mm6816a1.

[233] Department of Health (2019), Public Health (Alcohol) Act 2018 (Number 24 of 2018): Guidance for industry section 22, Department of Health, Dublin, https://assets.gov.ie/34508/f07a44a819dc410682eb8dbb377b89cc.pdf.

[146] Derges, J. et al. (2017), “Alcohol screening and brief interventions for adults and young people in health and community-based settings: A qualitative systematic literature review”, BMC Public Health, Vol. 17, p. 562, https://doi.org/10.1186/s12889-017-4476-4.

[72] Desapriya, E. et al. (2007), “Impact of lowering the legal blood alcohol concentration limit to 0.03 on male, female and teenage drivers involved alcohol-related crashes in Japan”, International Journal of Injury Control and Safety Promotion, Vol. 14/3, pp. 181-187, https://doi.org/10.1080/17457300701440634.

[206] Diario Oficial De la Federación (2015), NORMA Oficial Mexicana NOM-142-SSA1/SCFI-2014, Bebidas Alcohólicas. Especificaciones Sanitarias. Etiquetado Sanitario y Comercial (Alcoholic Beverages. Sanitary Specifications Sanitary and Commercial Labeling), Diario Oficial De la Federación, Mexico City, http://www.dof.gob.mx/nota_detalle.php?codigo=5386313&fecha=23/03/2015.

[213] Drinks Initiatives (2019), 100% Cool, spiritsEUROPE, Brussels, https://drinksinitiatives.eu/initiative/100-cool (accessed on 18 October 2019).

[76] Ecola, L. et al. (2018), Costs and Effectiveness of Interventions to Reduce Motor Vehicle-related Injuries and Deaths: Supplement to Tool Documentation, RAND Corporation, Santa Monica, CA, https://doi.org/10.7249/TL144.2.

[14] Elder, R. et al. (2010), “The effectiveness of tax policy interventions for reducing excessive alcohol consumption and related harms”, American Journal of Preventive Medicine, Vol. 38/2, pp. 217-229, https://doi.org/10.1016/j.amepre.2009.11.005.

[80] Elder, R. et al. (2011), “Effectiveness of ignition interlocks for preventing alcohol-impaired driving and alcohol-related crashes: A community guide systematic review”, American Journal of Preventive Medicine, Vol. 40/3, pp. 362-376, https://doi.org/10.1016/j.amepre.2010.11.012.

[227] EMCDDA (2012), Unplugged: European Union Drug Abuse Prevention (EU-DAP), European Monitoring Centre for Drugs and Drug Addiction, Lisbon, http://www.emcdda.europa.eu/html.cfm/index52035EN.html?project_id=HR-04&tab=overview (accessed on 14 April 2020).

[235] Erickson, R. et al. (2018), “How do people with homelessness and alcohol dependence cope when alcohol is unaffordable? A comparison of residents of Canadian managed alcohol programs and locally recruited controls”, Drug and Alcohol Review, Vol. 37, pp. S174-S183, https://doi.org/10.1111/dar.12649.

[77] Erke, A., C. Goldenbeld and T. Vaa (2009), “The effects of drink-driving checkpoints on crashes: A meta-analysis”, Accident Analysis and Prevention, Vol. 41/5, pp. 914-923, https://doi.org/10.1016/j.aap.2009.05.005.

[110] EUCAM (2018), Estonia, European Centre for Monitoring Alcohol Marketing, Utrecht, https://eucam.info/regulations-on-alcohol-marketing/estonia/.

[93] EUCAM (2009), Inventory Alcohol Marketing Regulations, European Centre for Monitoring Alcohol Marketing, Utrecht, http://eucam.info/wp-content/uploads/2016/09/alcohol-marketing-regulations_norway.pdf (accessed on 21 October 2019).

[188] Eurocare (2012), Eurocare Library of Alcohol Health Warning Labels, European Alcohol Policy Alliance, Brussels, https://webgate.ec.europa.eu/chafea_pdb/assets/files/pdb/20113208/20113208_d04-00_en_ps.pdf.

[147] Eurofound (2012), Use of Alcohol and Drugs at the Workplace, European Foundation for the Improvement of Living and Working Conditions, Dublin, https://www.eurofound.europa.eu/sites/default/files/ef_files/docs/ewco/tn1111013s/tn1111013s.pdf.

[185] European Commission (2019), Alcohol Labelling, European Commission, Brussels, https://ec.europa.eu/food/safety/labelling_nutrition/labelling_legislation/alcohol_en.

[120] European Commission (2019), Marketing of Food, Non-alcoholic, and Alcoholic Beverages: A toolkit to support the development and update of codes of conduct, European Commission, Brussels, https://ec.europa.eu/jrc/en/publication/marketing-food-non-alcoholic-and-alcoholic-beverages-toolkit-support-development-and-update-codes.

[69] European Transport Safety Council (2018), Progress in Reducing Drink Driving in Europe, European Transport Safety Council, Brussels, https://etsc.eu/wp-content/uploads/report_reducing_drink_driving_final.pdf.

[24] Falkner, C. et al. (2015), “The effect of alcohol price on dependent drinkers’ alcohol consumption”, New Zealand Medical Journal, Vol. 128/1427, pp. 9-17.

[222] Foxcroft, D. and A. Tsertsvadze (2011), “Universal school-based prevention programs for alcohol misuse in young people”, Cochrane Database of Systematic Reviews 5, p. CD009113, https://doi.org/10.1002/14651858.cd009113.

[88] Gallopel-Morvan, K. et al. (2017), “France’s Évin Law on the control of alcohol advertising: content, effectiveness and limitations”, Addiction, Vol. 112/Suppl 1, pp. 86-93, https://doi.org/10.1111/add.13431.

[179] GfK Belgium (2014), Consumer Insights: Knowledge of ingredient and nutrition information on alcohol beverages - off-label information and its use, Brewers of Europe, Brussels, https://brewersofeurope.org/uploads/mycms-files/documents/publications/2015/GfK report - CONSUMER INSIGHTS - FINAL.pdf.

[58] Gmel, G., J. Holmes and J. Studer (2016), “Are alcohol outlet densities strongly associated with alcohol-related outcomes? A critical review of recent evidence”, Drug and Alcohol Review, Vol. 35/1, pp. 40-54, https://doi.org/10.1111/dar.12304.

[116] Goldfarb, A. and C. Tucker (2011), “Advertising bans and the substitutability of online and offline advertising”, Journal of Marketing Research, Vol. 48/2, pp. 207-227, https://doi.org/10.1509/jmkr.48.2.207.

[38] Government of British Columbia (2020), Liquor Control and Licensing Regulation, BC Reg 241/2016, Queen’s Printer, Victoria, https://www.canlii.org/en/bc/laws/regu/bc-reg-241-2016/latest/bc-reg-241-2016.html.

[39] Government of Manitoba (2020), Liquor Licensing Regulation, Man Reg 61/2014, Queen’s Printer, Victoria, http://canlii.ca/t/5359n.

[40] Government of Newfoundland and Labrador (2020), Liquor Licensing Regulations, CNLR 1162/96, Queen’s Printer, Victoria, http://canlii.ca/t/53j84.

[41] Government of Nova Scotia (2020), Liquor Licensing Regulations, NS Reg 365/2007, Queen’s Printer, Victoria, http://canlii.ca/t/52w86.

[42] Government of Quebec (2020), Regulation Respecting Promotion, Advertising and Educational Programs Relating to Alcoholic Beverages: CQLR c P-9.1, Queen’s Printer, Victoria, http://canlii.ca/t/53m2c.

[62] Grant, J. et al. (2006), “Adolescent alcohol use is a risk factor for adult alcohol and drug dependence: Evidence from a twin design”, Psychological Medicine, Vol. 36/1, pp. 109-118, https://doi.org/10.1017/S0033291705006045.

[111] Griffin, C., J. Gavin and I. Szmigin (2018), All Night Long: Social media marketing to young people by alcohol brands and venues, Alcohol Research UK, London, https://s3.eu-west-2.amazonaws.com/files.alcoholchange.org.uk/documents/FinalReport_0153.pdf?mtime=20181128162019.

[2] Griswold, M. et al. (2018), “Alcohol use and burden for 195 countries and territories, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016”, Lancet, Vol. 392/10152, pp. 1015-1035, https://doi.org/10.1016/s0140-6736(18)31310-2.

[55] Gruenewald, P. (2011), “Regulating availability: How access to alcohol affects drinking and problems in youth and adults”, Alcohol Research and Health, Vol. 34/2, pp. 248-256.

[56] Gruenewald, P. and L. Remer (2006), “Changes in outlet densities affect violence rates”, Alcoholism: Clinical and Experimental Research, Vol. 30/7, pp. 1184-1193, https://doi.org/10.1111/j.1530-0277.2006.00141.x.

[214] Gulland, A. (2016), “People lack awareness of link between alcohol and cancer, survey finds”, BMJ (Clinical Research Ed.), Vol. 353, p. i1881, https://doi.org/10.1136/bmj.i1881.

[74] Haghpanahan, H. et al. (2019), “An evaluation of the effects of lowering blood alcohol concentration limits for drivers on the rates of road traffic accidents and alcohol consumption: a natural experiment”, Lancet, Vol. 393/10169, pp. 321-329, https://doi.org/10.1016/S0140-6736(18)32850-2.

[47] Hahn, R. et al. (2010), “Effectiveness of policies restricting hours of alcohol sales in preventing excessive alcohol consumption and related harms”, American Journal of Preventive Medicine, Vol. 39/6, pp. 590-604, https://doi.org/10.1016/j.amepre.2010.09.016.

[203] Hammond, D. (2009), Tobacco Labelling and Packaging Toolkit: A Guide to FCTC Article 11, Tobacco Labelling Resource Centre, Waterloo, https://tobaccolabels.s3.ca-central-1.amazonaws.com/uploads/2013/12/IUATLD-Tookit-Complete-Mar-3-2009.pdf (accessed on 15 October 2019).

[161] Hardiker, N. and M. Grant (2011), “Factors that influence public engagement with eHealth: A literature review”, International Journal of Medical Informatics, Vol. 80/1, pp. 1-12, https://doi.org/10.1016/j.ijmedinf.2010.10.017.

[196] Hassan, L. and E. Shiu (2018), “A systematic review of the efficacy of alcohol warning labels: Insights from qualitative and quantitative research in the new millennium”, Journal of Social Marketing, Vol. 8/3, pp. 333-352, https://doi.org/10.1108/JSOCM-03-2017-0020.

[103] He, A. (2019), Average US Time Spent With Mobile in 2019 Has Increased, eMarketer, New York, https://www.emarketer.com/content/average-us-time-spent-with-mobile-in-2019-has-increased.

[165] Hello Sunday Morning (2019), Daybreak: An alcohol support app, Hello Sunday Morning, Surry Hills, https://www.hellosundaymorning.org/daybreak/ (accessed on 30 October 2019).

[139] Henry-Edwards, S. et al. (2003), Brief Interventions for Substance Use: A manual for use in primary care (draft version 1.1 for field testing), World Health Organization, Geneva, https://www.who.int/substance_abuse/activities/en/Draft_Brief_Intervention_for_Substance_Use.pdf.

[82] Hill, K., D. Foxcroft and M. Pilling (2017), ““Everything is telling you to drink”: Understanding the functional significance of alcogenic environments for young adult drinkers”, Addiction Research & Theory, Vol. 26/6, pp. 457-464, https://doi.org/10.1080/16066359.2017.1395022.

[190] Hobin, E. et al. (2020), “Testing alcohol labels as a tool to communicate cancer risk to drinkers: A real-world quasi-experimental study”, Journal of Studies on Alcohol and Drugs, Vol. 81/2, pp. 249-261, https://doi.org/10.15288/jsad.2020.81.249.

[131] Houghton, F. et al. (2014), “Children’s awareness of alcohol sponsorship of sport in Ireland: Munster Rugby and the 2008 European Rugby Cup”, International Journal of Public Health, Vol. 59/5, pp. 829-832, https://doi.org/10.1007/s00038-014-0568-4.

[67] IARD (2019), Minimum Legal Age Limits, International Alliance for Responsible Drinking, London, https://iard.org/science-resources/detail/Minimum-Legal-Age-Limits.

[207] IAS (2016), International Evidence and Best Practice on Alcohol Labelling, Institute of Alcohol Studies, London, http://www.ias.org.uk/uploads/pdf/IAS summary briefings/sb09032016.pdf.

[124] ICAP (2011), Digital Guiding Principles: Self-regulation of marketing communications for beverage alcohol, International Center for Alcohol Policies, Washington DC, https://www.iard.org/getattachment/72ca6517-8b3d-431f-b82f-e3e9e7a3f9b2/digitalguidingprinciples2014.pdf.

[157] Ito, C. et al. (2015), “Brief intervention in the workplace for heavy drinkers: A randomized clinical trial in Japan”, Alcohol and Alcoholism, Vol. 50/2, pp. 157-163, https://doi.org/10.1093/alcalc/agu090.

[200] Jané-Llopis, E. et al. (2020), What is the Current Alcohol Labelling Practice in the WHO European Region and What Are Barriers and Facilitators to Development and Implementation of Alcohol Labelling Policy?, WHO Regional Office for Europe, Copenhagen, https://apps.who.int/iris/bitstream/handle/10665/332129/9789289054898-eng.pdf.

[86] Jernigan, D. et al. (2017), “Alcohol marketing and youth alcohol consumption: A systematic review of longitudinal studies published since 2008”, Addiction, Vol. 112, pp. 7-20, https://doi.org/10.1111/add.13591.

[127] Jones, S. (2010), “When does alcohol sponsorship of sport become sports sponsorship of alcohol? A case study of developments in sport in Australia”, International Journal of Sports Marketing and Sponsorship, Vol. 11/3, pp. 250-261, https://doi.org/10.1108/IJSMS-11-03-2010-B007.

[193] Jones, S. and R. Gordon (2013), Alcohol Warning Labels: Are they effective?, Deeble Institute, Deakin, https://ahha.asn.au/system/files/docs/publications/20130118_deeble_institute_evidence_brief_alcohol_warning_labels.pdf.

[97] Jones, S. and R. Gordon (2013), “Regulation of alcohol advertising: Policy options for Australia”, Evidence Base, Vol. 2013/2, pp. 1-37, https://doi.org/10.21307/eb-2013-001.

[163] Kaner, E. et al. (2017), “Personalised digital interventions for reducing hazardous and harmful alcohol consumption in community-dwelling populations”, Cochrane Database of Systematic Reviews, Vol. 9/9, p. CD011479, https://doi.org/10.1002/14651858.CD011479.pub2.

[136] Kaner, E. et al. (2018), “Effectiveness of brief alcohol interventions in primary care populations”, Cochrane Database of Systematic Reviews, Vol. 2/2, p. CD004148, https://doi.org/10.1002/14651858.CD004148.pub4.

[61] Karlsson, T. et al. (2020), “The road to the Alcohol Act 2018 in Finland: A conflict between public health objectives and neoliberal goals”, Health Policy, Vol. 124/1, pp. 1-6, https://doi.org/10.1016/j.healthpol.2019.10.009.

[117] Kauppila, E. et al. (2019), Alcohol Marketing on Social Media Sites in Finland and Sweden: A comparative audit study of brands’ presence and content, and the impact of a legislative change, University of Helsinki Centre for Research on Addiction, Control and Governance (CEACG), Helsinki, https://blogs.helsinki.fi/hu-ceacg/files/2019/04/Alcohol-marketing-on-social-media-sites-in-Finland-and-Sweden-2019.pdf (accessed on 22 October 2019).

[198] Kersbergen, I. and M. Field (2017), “Alcohol consumers’ attention to warning labels and brand information on alcohol packaging: Findings from cross-sectional and experimental studies”, BMC Public Health, Vol. 17/1, p. 123, https://doi.org/10.1186/s12889-017-4055-8.

[150] KHNANES (2019), Korea National Health and Nutrition Examination Survey, Korea Disease Control and Prevention Agency, Cheongju-si, https://knhanes.cdc.go.kr/knhanes/sub01/sub01_02.do (accessed on 10 April 2020).

[216] Klinika Adiktologie (2020), Alkohol Pod Kontrolou (Alcohol Under Control), Klinika Adiktologie, Prague, https://www.alkoholpodkontrolou.cz/.

[182] Knai, C. et al. (2015), “Are the Public Health Responsibility Deal alcohol pledges likely to improve public health? An evidence synthesis”, Addiction, Vol. 110/8, pp. 1232-1246, https://doi.org/10.1111/add.12855.

[63] Kypri, K. et al. (2008), “Alcohol outlet density and university student drinking: A national study”, Addiction, Vol. 103/7, pp. 1131-1138, https://doi.org/10.1111/j.1360-0443.2008.02239.x.

[49] Kypri, K. et al. (2011), “Effects of restricting pub closing times on night-time assaults in an Australian city”, Addiction, Vol. 106/2, pp. 303-310, https://doi.org/10.1111/j.1360-0443.2010.03125.x.

[50] Kypri, K., P. Mcelduff and P. Miller (2014), “Restrictions in pub closing times and lockouts in Newcastle, Australia, five years on”, Drug and Alcohol Review, Vol. 33/3, pp. 323-326, https://doi.org/10.1111/dar.12123.

[26] Laizans, J. (2019), “Latvia fires next salvo in Baltic booze battle”, Reuters, https://www.reuters.com/article/us-estonia-latvia-alcohol/latvia-fires-next-salvo-in-baltic-booze-battle-idUSKCN1U321V.

[201] Laughery, K. et al. (1993), “The noticeability of warnings on alcoholic beverage containers”, Journal of Public Policy & Marketing, Vol. 12/1, pp. 38-56, https://doi.org/10.1177/074391569501200105.

[219] Lee, N. et al. (2016), “What works in school-based alcohol education: A systematic review”, Health Education Journal, Vol. 75/7, pp. 780-798, https://doi.org/10.1177/0017896915612227.

[234] Leon, D. et al. (2007), “Hazardous alcohol drinking and premature mortality in Russia: A population based case-control study”, Lancet, Vol. 369/9578, pp. 2001-2009, https://doi.org/10.1016/S0140-6736(07)60941-6.

[54] Livingston, M., T. Chikritzhs and R. Room (2007), “Changing the density of alcohol outlets to reduce alcohol-related problems”, Drug and Alcohol Review, Vol. 26/5, pp. 557-566, https://doi.org/10.1080/09595230701499191.

[115] Lobstein, T. et al. (2017), “The commercial use of digital media to market alcohol products: a narrative review”, Addiction, Vol. 112, pp. 21-27, https://doi.org/10.1111/add.13493.

[113] Lobstein, T. et al. (2017), “The commercial use of digital media to market alcohol products: A narrative review”, Addiction, Vol. 112, pp. 21-27, https://doi.org/10.1111/add.13493.

[221] MacArthur, G. et al. (2018), “Individual-, family-, and school-level interventions targeting multiple risk behaviours in young people”, Cochrane Database of Systematic Reviews, Vol. 2018/10, p. CD009927, https://doi.org/10.1002/14651858.CD009927.pub2.

[230] McNeal, R. et al. (2004), “How All Stars works: An examination of program effects on mediating variables”, Health Education and Behavior, Vol. 31/2, pp. 165-178, https://doi.org/10.1177/1090198103259852.

[18] Meier, P. et al. (2016), “Estimated effects of different alcohol taxation and price policies on health inequalities: A mathematical modelling study”, PLoS Medicine, Vol. 13/2, p. e1001963, https://doi.org/10.1371/journal.pmed.1001963.

[149] Midorikawa, H. et al. (2019), “Factors associated with high‐risk drinking in older adults: Evidence from a national survey in Japan”, Geriatrics & Gerontology International, Vol. 19/12, pp. 1260-1267, https://doi.org/10.1111/ggi.13808.

[60] Ministry of Health of the Republic of Latvia (2019), The Ministry of Health is Calling for Stricter Restrictions on the Advertising and Availability of Alcoholic Beverages, Ministry of Health of the Republic of Latvia, Riga, http://www.vm.gov.lv/lv/aktualitates/preses_relizes/6044_veselibas_ministrija_rosina_stingrak_ierobezot_alkoholisko_d/?utm_source=POLITICO.EU&utm_campaign=3dce6b1edd-EMAIL_CAMPAIGN_2019_07_05_02_37&utm_medium=email&utm_term=0_10959edeb5-3dce6b1edd-1891098.

[87] Morgenstern, M. et al. (2014), “Favourite alcohol advertisements and binge drinking among adolescents: A cross-cultural cohort study”, Addiction, Vol. 109/12, pp. 2005-2015, https://doi.org/10.1111/add.12667.

[144] Moyer, A. and J. Finney (2015), “Brief interventions for alcohol misuse”, Canadian Medical Association Journal, Vol. 187/7, pp. 502-506, https://doi.org/10.1503/cmaj.140254.

[73] Nagata, T. et al. (2008), “Effectiveness of a law to reduce alcohol-impaired driving in Japan”, Injury Prevention, Vol. 14/1, pp. 19-23, https://doi.org/10.1136/ip.2007.015719.

[22] Naimi, T. et al. (2018), “Erosion of state alcohol excise taxes in the United States”, Journal of Studies on Alcohol and Drugs, Vol. 79/1, pp. 43-48, https://doi.org/10.15288/jsad.2018.79.43.

[81] National Conference of State Legislatures (2018), State Ignition Interlock Laws, National Conference of State Legislatures, Denver, CO, https://www.ncsl.org/research/transportation/state-ignition-interlock-laws.aspx (accessed on 26 October 2020).

[159] Nesvåg, S. and J. McKay (2018), “Feasibility and effects of digital interventions to support people in recovery from substance use disorders: Systematic review”, Journal of Medical Internet Research, Vol. 20/8, p. e255, https://doi.org/10.2196/jmir.9873.

[226] Newton, N. et al. (2009), “Climate Schools alcohol module: Cross-validation of a school-based prevention programme for alcohol misuse”, The Australian and New Zealand Journal of Psychiatry, Vol. 43/3, pp. 201-207, https://doi.org/10.1080/00048670802653364.

[143] NHS (2016), What Happens at an NHS Health Check?, National Health Service, London, https://www.nhs.uk/conditions/nhs-health-check/what-happens-at-an-nhs-health-check-new/ (accessed on 30 October 2019).

[142] NHS Employers (2008), Clinical Directed Enhanced Services (DES) Guidance for GMS Contract 2008/09: Delivering investment in general practice, NHS Employers, London, https://www.lmc.org.uk/visageimages/guidance/2008/clinicaldesguidance.pdf.

[167] NIAAA (2005), Alcohol Alert: Brief interventions, National Institute on Alcohol Abuse and Alcoholism, Rockville, MD, https://pubs.niaaa.nih.gov/publications/aa66/aa66.htm.

[175] Nielsen, S. et al. (2012), Calories Consumed from Alcoholic Beverages by US Adults, 2007-2010, National Center for Health Statistics, Hyattsville, MD, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.252.3551&rep=rep1&type=pdf (accessed on 14 October 2019).

[95] Noel, J., T. Babor and K. Robaina (2016), “Industry self-regulation of alcohol marketing: a systematic review of content and exposure research”, Addiction, Vol. 112, pp. 28-50, https://doi.org/10.1111/add.13410.

[123] Noel, J., C. Sammartino and S. Rosenthal (2020), “Exposure to digital alcohol marketing and alcohol use: A systematic review”, Journal of Studies on Alcohol and Drugs, Supplement s19, pp. 57-67, https://doi.org/10.15288/jsads.2020.s19.57.

[65] Nordic Alcohol and Drug Policy Network (2017), Lithuania to raise legal drinking age, shorten alcohol selling hours, Nordic Alcohol and Drug Policy Network, Türi, https://nordan.org/lithuania-to-raise-legal-drinking-age-shorten-alcohol-selling-hours/.

[184] Nutrition Institute (2020), You Know What You Drink: Employing mobile application for reducing alcohol related harm, Nutrition Institute, Ljubljana, https://www.nutris.org/en/programmes/you-know-what-you-drink-employing-mobile-application-for-reducing-alcohol-related-harm (accessed on 8 December 2020).

[4] Nutt, D., L. King and L. Phillips (2010), “Drug harms in the UK: A multicriteria decision analysis”, Lancet, Vol. 376/9752, pp. 1558-1565, https://doi.org/10.1016/S0140-6736(10)61462-6.

[130] O’Brien, K. et al. (2015), “Alcohol advertising in sport and non-sport TV in Australia, during children’s viewing times”, PLoS One, Vol. 10/8, p. e0134889, https://doi.org/10.1371/journal.pone.0134889.

[160] O’Connor, S. et al. (2016), “Understanding factors affecting patient and public engagement and recruitment to digital health interventions: A systematic review of qualitative studies”, BMC Medical Informatics and Decision Making, Vol. 16/1, p. 120, https://doi.org/10.1186/s12911-016-0359-3.

[28] O’Donnell, A. et al. (2019), “Immediate impact of minimum unit pricing on alcohol purchases in Scotland: Controlled interrupted time series analysis for 2015-18”, BMJ, Vol. 366, p. l5274, https://doi.org/10.1136/bmj.l5274.

[132] O’Brien, K. et al. (2014), “Alcohol industry sponsorship and hazardous drinking in UK university students who play sport”, Addiction, Vol. 109/10, pp. 1647-1654, https://doi.org/10.1111/add.12604.

[104] OECD (2020), Growing Up Online: Addressing the Needs of Children in the Digital Environment, OECD, Paris, https://www.oecd.org/sti/ieconomy/growing-up-online.pdf.

[71] OECD (2020), OECD Reviews of Public Health: Korea: A Healthier Tomorrow, OECD Reviews of Public Health, OECD Publishing, Paris, https://doi.org/10.1787/be2b7063-en.

[21] OECD (2018), Consumption Tax Trends 2018: VAT/GST and Excise Rates, Trends and Policy Issues, OECD, Paris, https://doi.org/10.1787/19990979.

[27] OECD (2016), Illicit Trade: Converging Criminal Networks, OECD, Paris, https://doi.org/10.1787/19934106.

[119] OECD (2012), The Protection of Children Online: Risks Faced by Children Online and Policies to Protect Them, OECD, Paris, https://doi.org/10.1787/20716826.

[177] OECD.Stat (2019), Non-medical determinants of health: overweight or obese population, measured, OECD, Paris, https://stats.oecd.org/index.aspx?queryid=30128#.

[102] Ofcom (2018), A Decade of Digital Dependency, Ofcom, London, https://www.ofcom.org.uk/about-ofcom/latest/media/media-releases/2018/decade-of-digital-dependency.

[106] Ofcom (2017), Communications Market Report, Ofcom, London, https://www.ofcom.org.uk/__data/assets/pdf_file/0017/105074/cmr-2017-uk.pdf.

[151] ONS (2011), General Lifestyle Survey: 2011, Office for National Statistics, London, https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/compendium/generallifestylesurvey/2013-03-07 (accessed on 10 April 2020).

[156] Osilla, K. et al. (2010), “Exploring productivity outcomes from a brief intervention for at-risk drinking in an employee assistance program”, Addictive Behaviors, Vol. 35/3, pp. 194-200, https://doi.org/10.1016/j.addbeh.2009.10.001.

[183] Petticrew, M. et al. (2017), “Provision of information to consumers about the calorie content of alcoholic drinks: did the Responsibility Deal pledge by alcohol retailers and producers increase the availability of calorie information?”, Public Health, Vol. 149, pp. 159-166, https://doi.org/10.1016/j.puhe.2017.04.020.

[98] Pierce, H. et al. (2019), “Regulation of alcohol marketing in Australia: A critical review of the Alcohol Beverages Advertising Code Scheme’s new Placement Rules”, Drug and Alcohol Review, Vol. 38/1, pp. 16-24, https://doi.org/10.1111/dar.12872.

[36] Public Health Scotland (2020), Statistical Analysis of Off-Trade Alcohol Sales in the Year Following MUP Published, Public Health Scotland, Edinburgh, https://www.publichealthscotland.scot/news/2020/june/statistical-analysis-of-off-trade-alcohol-sales-in-the-year-following-mup-published/ (accessed on 26 June 2020).

[96] Reeve, B. (2018), “Regulation of alcohol advertising in Australia: Does the ABAC scheme adequately protect young people from marketing of alcoholic beverages”, QUT Law Review, Vol. 18/1, pp. 96-123, https://doi.org/10.5204/qutlr.v18i1.738.

[1] Rehm, J. (2011), “The risks associated with alcohol use and alcoholism”, Alcohol Research and Health, Vol. 34/2, pp. 135-143.

[59] Rehm, J., M. Štelemėkas and R. Badaras (2018), “Research protocol to evaluate the effects of alcohol policy changes in Lithuania”, Alcohol and Alcoholism, Vol. 54/1, pp. 112-118, https://doi.org/10.1093/alcalc/agy068.

[232] Rehm, J., M. Štelemėkas and R. Badaras (2018), “Research protocol to evaluate the effects of alcohol policy changes in Lithuania”, Alcohol and Alcoholism, Vol. 54/1, pp. 112-118, https://doi.org/10.1093/alcalc/agy068.

[231] Ringwalt, C. et al. (2009), “The potential of coaching as a strategy to improve the effectiveness of school-based substance use prevention curricula”, Health Education and Behavior, Vol. 36/4, pp. 696-710, https://doi.org/10.1177/1090198107303311.

[169] Rösner, S. et al. (2010), “Acamprosate for alcohol dependence”, Cochrane Database of Systematic Reviews 9, p. CD004332, https://doi.org/10.1002/14651858.CD004332.pub2.

[51] Rossow, I. and T. Norström (2012), “The impact of small changes in bar closing hours on violence: The Norwegian experience from 18 cities”, Addiction, Vol. 107/3, pp. 530-537, https://doi.org/10.1111/j.1360-0443.2011.03643.x.

[153] Saar, I. (2009), “The social costs of alcohol misuse in Estonia”, European Addiction Research, Vol. 15/1, pp. 56-62, https://doi.org/10.1159/000173010.

[84] Sargent, J. and T. Babor (2020), “The relationship between exposure to alcohol marketing and underage drinking is causal”, Journal of Studies on Alcohol and Drugs, Supplement s19, pp. 113-124, https://doi.org/10.15288/jsads.2020.s19.113.

[83] Sargent, J., S. Cukier and T. Babor (2020), “Alcohol marketing and youth drinking: Is there a causal relationship, and why does it matter?”, Journal of Studies on Alcohol and Drugs, Supplement s19, pp. 5-12, https://doi.org/10.15288/jsads.2020.s19.5.

[31] Sassi, F. (2015), Tackling Harmful Alcohol Use: Economics and public health policy, OECD, Paris, http://www.oecd-ilibrary.org/docserver/download/8113021e.pdf?expires=1501487870&id=id&accname=ocid84004878&checksum=5F1850A0940BBA80AE2AF16341FB4658.

[66] Schelleman-Offermans, K., R. Roodbeen and P. Lemmens (2017), “Increased minimum legal age for the sale of alcohol in the Netherlands as of 2014: The effect on alcohol sellers’ compliance after one and two years”, International Journal of Drug Policy, Vol. 49, pp. 8-14, https://doi.org/10.1016/J.DRUGPO.2017.07.016.

[192] Scholes-Balog, K., J. Heerde and S. Hemphill (2012), “Alcohol warning labels: Unlikely to affect alcohol-related beliefs and behaviours in adolescents”, Australian and New Zealand Journal of Public Health, Vol. 36/6, pp. 524-529, https://doi.org/10.1111/j.1753-6405.2012.00934.x.

[217] Schölin, L. (2016), Prevention of Harm Caused by Alcohol Exposure in Pregnancy: Rapid review and case studies from Member States, WHO Regional Office for Europe, Copenhagen, https://www.euro.who.int/__data/assets/pdf_file/0005/318074/Prevention-harm-caused-alcohol-exposure-pregnancy.pdf.

[191] Schoueri-Mychasiw, N. et al. (2020), “Examining the impact of alcohol labels on awareness and knowledge of national drinking guidelines: A real-world study in Yukon, Canada”, Journal of Studies on Alcohol and Drugs, Vol. 81/2, pp. 262-272, https://doi.org/10.15288/jsad.2020.81.262.

[152] Schulte, B. et al. (2014), “Alcohol screening and brief intervention in workplace settings and social services: A comparison of literature”, Frontiers in Psychiatry, Vol. 5/SEP, https://doi.org/10.3389/fpsyt.2014.00131.

[70] Scottish Government (2018), Drink-drive Limit: Policy, Scottish Government, Edinburgh, https://www.gov.scot/publications/drink-drive-limit-policy/ (accessed on 18 October 2019).

[45] Scottish Government (2018), Implementation of Minimum Pricing for Alcohol: Guidance, Scottish Government, Edinburgh, https://www.gov.scot/publications/guidance-implementation-minimum-pricing-alcohol/.

[174] Shelton, N. and C. Knott (2014), “Association between alcohol calorie intake and overweight and obesity in English adults”, American Journal of Public Health, Vol. 104/4, pp. 629-631, https://doi.org/10.2105/AJPH.2013.301643.

[172] Sherk, A. et al. (2019), “Calorie intake from alcohol in Canada: Why new labelling requirements are necessary”, Canadian Journal of Dietetic Practice and Research, Vol. 80/3, pp. 111-115, https://doi.org/10.3148/cjdpr-2018-046.

[52] Sherk, A. et al. (2018), “Alcohol consumption and the physical availability of take-away alcohol: Systematic reviews and meta-analyses of the days and hours of sale and outlet density”, Journal of Studies on Alcohol and Drugs, Vol. 79/1, pp. 58-67, https://doi.org/10.15288/jsad.2018.79.58.

[170] Siggins Miller (2017), Appendices, Siggins Miller, Kenmore, https://www1.health.gov.au/internet/fr/publishing.nsf/Content/C35B5AC81AED240FCA2581EE001B80B0/$File/AU 2nd Evaluation 2017 Appendices.pdf.

[178] Sim, F. (2015), “Alcoholic drinks contribute to obesity and should come with mandatory calorie counts”, BMJ, Vol. 350, pp. h2047-h2047, https://doi.org/10.1136/bmj.h2047.

[108] Simons, A. and W. van Dalen (2017), Alcohol Marketing on Social Media: The impact of alcohol marketing via social media on young people, European Centre for Monitoring Alcohol Marketing, Utrecht, http://eucam.info/wp-content/uploads/2018/02/lit-rev-online-alcohol-marketing-2017-2.pdf.

[215] Sinclair, J. et al. (2019), “The acceptability of addressing alcohol consumption as a modifiable risk factor for breast cancer: A mixed method study within breast screening services and symptomatic breast clinics.”, BMJ Open, Vol. 9/6, p. e027371, https://doi.org/10.1136/bmjopen-2018-027371.

[85] Smith, L. and D. Foxcroft (2009), “The effect of alcohol advertising, marketing and portrayal on drinking behaviour in young people: Systematic review of prospective cohort studies”, BMC Public Health, Vol. 9, p. 51, https://doi.org/10.1186/1471-2458-9-51.

[11] Sornpaisarn, B. et al. (2017), Resource Tool on Alcohol Taxation and Pricing Policies, World Health Organization, Geneva, https://www.who.int/substance_abuse/publications/tax_book/en/.

[92] STAP (2007), Appendix: Regulations of alcohol marketing in 24 European Countries, National Foundation for Alcohol Prevention, Utrecht, https://ec.europa.eu/health/ph_projects/2004/action3/docs/2004_3_16_frep_a2b_en.pdf.

[194] Stockwell, T. (2006), A Review of Research into the Impacts of Alcohol Warning Labels on Attitudes and Behaviour, Centre for Addictions Research of BC, Victoria, https://dspace.library.uvic.ca/bitstream/handle/1828/4785/Alcohol%20Warning%20Labels%202006.pdf?s (accessed on 15 October 2019).

[23] Subbaraman, M. (2016), “Substitution and complementarity of alcohol and cannabis: A review of the literature”, Substance Use and Misuse, Vol. 51/11, pp. 1399-1414, https://doi.org/10.3109/10826084.2016.1170145.

[166] Tait, R. et al. (2019), “A digital intervention addressing alcohol use problems (the “Daybreak” program): Quasi-experimental randomized controlled trial”, Journal of Medical Internet Research, Vol. 21/9, p. e14967, https://doi.org/10.2196/14967.

[68] Taylor, B. and J. Rehm (2012), “The relationship between alcohol consumption and fatal motor vehicle injury: High risk at low alcohol levels”, Alcoholism: Clinical and Experimental Research, Vol. 36/10, pp. 1827-1834, https://doi.org/10.1111/j.1530-0277.2012.01785.x.

[220] Teesson, M., N. Newton and E. Barrett (2012), “Australian school-based prevention programs for alcohol and other drugs: A systematic review”, Drug and Alcohol Review, Vol. 31/6, pp. 731-736, https://doi.org/10.1111/j.1465-3362.2012.00420.x.

[225] Teesson, M. et al. (2020), “Combined prevention for substance use, depression, and anxiety in adolescence: a cluster-randomised controlled trial of a digital online intervention”, Lancet Digital Health, Vol. 2/2, pp. e74-e84, https://doi.org/10.1016/S2589-7500(19)30213-4.

[126] The Business Research Company (2019), Sports Global Market Opportunities And Strategies To 2022, The Business Research Company, Bangalore, https://www.thebusinessresearchcompany.com/report/sports-market.

[195] Thomas, G. et al. (2014), “The effectiveness of alcohol warning labels in the prevention of fetal alcohol spectrum disorder: A brief review”, International Journal of Alcohol and Drug Research, Vol. 3/1, p. 91, https://doi.org/10.7895/ijadr.v3i1.126.

[202] Thomson, L., B. Vandenberg and J. Fitzgerald (2012), “An exploratory study of drinkers views of health information and warning labels on alcohol containers”, Drug and Alcohol Review, Vol. 31/2, pp. 240-247, https://doi.org/10.1111/j.1465-3362.2011.00343.x.

[212] TNS BMRB (2016), THINK! Drink Drive Presentation, Department for Transport, London, https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/525880/drink-drive-2015-16-evaluation-full-results.pdf.

[176] U.S. Department of Health and Human Services (2015), Dietary Guidelines for Americans 2015-2020, 8th edition, U.S. Department of Health and Human Services, Washington DC, https://health.gov/dietaryguidelines/2015/resources/2015-2020_Dietary_Guidelines.pdf.

[29] UK Home Office (2017), Guidance on Banning the Sale of Alcohol Below the Cost of Duty Plus VAT: For suppliers of alcohol and enforcement authorities in England and Wales, UK Home Office, London, https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/619234/2017-03-13_HO_Guidance_on_BBCS__1_.pdf.

[9] United Nations (2019), SDG Indicators: Metadata repository, United Nations, New York, https://unstats.un.org/sdgs/metadata/.

[78] US Department of Transportation (2017), Countermeasures that Work: A highway safety countermeasure guide for state highway safety offices, US Department of Transportation, Washington DC, https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/812478_countermeasures-that-work-a-highway-safety-countermeasures-guide-.pdf.

[64] Van Hoof, J. (2017), “The effectiveness of ID readers and remote age verification in enhancing compliance with the legal age limit for alcohol”, European Journal of Public Health, Vol. 27/2, pp. 357-359, https://doi.org/10.1093/eurpub/ckw183.

[79] Vanlaar, W., M. Mainegra Hing and R. Robertson (2017), “An evaluation of Nova Scotia’s alcohol ignition interlock program”, Accident Analysis and Prevention, Vol. 100, pp. 44-52, https://doi.org/10.1016/j.aap.2016.12.017.

[91] VBF (2018), Prohibition of Alcohol Advertising in Norway, Association of Norwegian Wine and Spirits Suppliers, Oslo, https://www.nhomd.no/contentassets/2903e65252854beda11b61c0e8d41a2d/prohibition-of-alcohol-advertising-in-norway--0918.pdf.

[180] Vecchio, R., A. Annunziata and A. Mariani (2018), “Is more better? Insights on consumers’ preferences for nutritional information on wine labelling”, Nutrients, Vol. 10/11, p. 1667, https://doi.org/10.3390/nu10111667.

[224] Vogl, L. et al. (2012), “Developing a school-based drug prevention program to overcome barriers to effective program implementation: The Climate Schools alcohol module”, Open Journal of Preventive Medicine, Vol. 2/3, pp. 410-422, https://doi.org/10.4236/ojpm.2012.23059.

[15] Wagenaar, A., M. Salois and K. Komro (2009), “Effects of beverage alcohol price and tax levels on drinking: A meta-analysis of 1003 estimates from 112 studies”, Addiction, Vol. 104/2, pp. 179-190, https://doi.org/10.1111/j.1360-0443.2008.02438.x.

[16] Wagenaar, A., A. Tobler and K. Komro (2010), “Effects of alcohol tax and price policies on morbidity and mortality: A systematic review”, American Journal of Public Health, Vol. 100/11, pp. 2270-2278, https://doi.org/10.2105/AJPH.2009.186007.

[208] Wakefield, M., B. Loken and R. Hornik (2010), “Use of mass media campaigns to change health behaviour”, Lancet, Vol. 376/9748, pp. 1261-1271, https://doi.org/10.1016/S0140-6736(10)60809-4.

[186] Walker, N. et al. (2019), Energy Labelling for Alcoholic Beverages in New Zealand: Consumer perceptions. Phase 1 report: Focus groups, Health Promotion Agency, Wellington, https://www.hpa.org.nz/sites/default/files/documents/Energy labelling for alcoholic beverages in New Zealand research report Phase 1 March 2019.pdf.

[187] Walker, N. et al. (2019), Energy Labelling for Alcoholic Beverages in New Zealand: Impact on consumer purchase and consumption. Phase 2 report: Randomised trial, Health Promotion Agency, Wellington, https://www.hpa.org.nz/sites/default/files/documents/Energy_labelling_for_alcoholic_beverages_in_New_Zealand_Phase_2_research_report_March_2019.pdf.

[158] Watson, H. et al. (2015), “Screening and brief intervention delivery in the workplace to reduce alcohol-related harm: A pilot randomized controlled trial”, International Journal of Nursing Studies, Vol. 52/1, pp. 39-48, https://doi.org/10.1016/j.ijnurstu.2014.06.013.

[46] Welsh Government (2020), Minimum Pricing for Alcohol: Guidance for Retailers, Welsh Government, Cardiff, https://gov.wales/minimum-pricing-alcohol-guidance-retailers (accessed on 18 October 2020).

[238] WHO (2020), Accelerating Action to Reduce the Harmful Use of Alcohol: Draft decision proposed by Bangladesh, Bhutan, India, Indonesia, Islamic Republic of Iran, Russian Federation, Sri Lanka, Thailand and Viet Nam, World Health Organization, Geneva, http://apps.who.int/gb/ebwha/pdf_files/EB146/B146_CONF1-en.pdf.

[10] WHO (2020), Global Information System on Alcohol and Health (GISAH), World Health Organization, Geneva, https://www.who.int/data/gho/data/themes/global-information-system-on-alcohol-and-health (accessed on 28 October 2020).

[181] WHO (2018), Global Information System on Alcohol and Health (GISAH): Consumer information by country, World Health Organization, Geneva, https://apps.who.int/gho/data/node.gisah.A1290?lang=en&showonly=GISAH.

[155] WHO (2018), Global Information System on Alcohol and Health (GISAH): Legislation on alcohol testing at workplaces, World Health Organization, Geneva, https://apps.who.int/gho/data/node.gisah.A1250?lang=en&showonly=GISAH.

[133] WHO (2018), Global Information System on Alcohol and Health (GISAH): Sporting events by country, World Health Organization, Geneva, https://apps.who.int/gho/data/node.gisah.A1168?lang=en&showonly=GISAH.

[20] WHO (2018), Global Information System on Alcohol and Health (GISAH): Value-added tax (VAT) on alcohol by country, World Health Organization, Geneva, https://apps.who.int/gho/data/node.gisah-searo.A1187?lang=en&showonly=GISAH.

[121] WHO (2018), Global Status Report on Alcohol and Health 2018, World Health Organization, Geneva, https://apps.who.int/iris/bitstream/handle/10665/274603/9789241565639-eng.pdf?ua=1 (accessed on 10 September 2019).

[8] WHO (2018), SAFER: A World Free from Alcohol Related Harms, World Health Organization, Geneva, https://www.who.int/substance_abuse/safer/msb_safer_brochure.pdf.

[7] WHO (2017), Tackling NCDs: “Best Buys” and Other Recommended Interventions for the Prevention and Control of Noncommunicable Diseases, World Health Organization, Geneva, https://apps.who.int/iris/bitstream/handle/10665/259232/WHO-NMH-NVI-17.9-eng.pdf;jsessionid=3E76AC01272E9377F8382B8BC19545AF?sequence=1 (accessed on 10 September 2019).

[145] WHO (2014), Global Health Observatory: Screening and brief intervention for substance use in antenatal services, World Health Organization, Geneva, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/recommendations-for-screening-and-brief-interventions-for-substance-use-in-antenatal-services.

[6] WHO (2013), Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013-2020, World Health Organization, Geneva, https://apps.who.int/iris/bitstream/handle/10665/94384/9789241506236_eng.pdf.

[137] WHO (2010), Brief Intervention: The ASSIST-linked brief intervention for hazardous and harmful substance use – manual for use in primary care, World Health Organization, Geneva, https://apps.who.int/iris/bitstream/handle/10665/44321/9789241599399_eng.pdf?sequence=1&isAllowed=y.

[5] WHO (2010), Global Strategy to Reduce the Harmful Use of Alcohol, World Health Organization, Geneva, https://www.who.int/publications/i/item/9789241599931.

[199] WHO (2003), Article 11 of the WHO Framework Convention on Tobacco Control: Packaging and labelling of tobacco products, World Health Organization, Geneva, https://www.who.int/tobacco/industry/product_regulation/art_11_fctc/en/.

[25] WHO Regional Office for Europe (2020), Alcohol Pricing in the WHO European Region: Update report on the evidence and recommended policy action, WHO Regional Office for Europe, Copenhagen, https://apps.who.int/iris/bitstream/handle/10665/336159/WHO-EURO-2020-1239-40989-55614-eng.pdf?sequence=1&isAllowed=y.

[44] WHO Regional Office for Europe (2019), Alcohol Policy Impact Study: The effects of alcohol control measures on mortality and life expectancy in the Russian Federation, WHO Regional Office for Europe, Copenhagen, https://apps.who.int/iris/bitstream/handle/10665/328167/9789289054379-eng.pdf?sequence=1&isAllowed=y.

[107] WHO Regional Office for Europe (2018), Monitoring and Restricting Digital Marketing of Unhealthy Products to Children and Adolescents, WHO Regional Office for Europe, Copenhagen, http://www.euro.who.int/__data/assets/pdf_file/0008/396764/Online-version_Digital-Mktg_March2019.pdf.

[236] WHO Regional Office for Europe (2017), Policy in Action: A tool for measuring alcohol policy implementation, WHO Regional Office for Europe, Copenhagen, https://www.euro.who.int/en/health-topics/disease-prevention/alcohol-use/publications/2017/policy-in-action-a-tool-for-measuring-alcohol-policy-implementation-2017 (accessed on 23 July 2020).

[30] WHO Regional Office for Europe (2014), European Status Report on Alcohol and Health: Pricing policies, WHO Regional Office for Europe, Copenhagen, http://www.euro.who.int/__data/assets/pdf_file/0003/244902/Pricing-policies.pdf.

[90] WHO Regional Office for the Americas (2018), Alcohol Policy Scoring: Assessing the level of implementation of the WHO global strategy to reduce the harmful use of alcohol in the Region of the Americas, WHO Regional Office for the Americas, Washington DC, https://iris.paho.org/bitstream/handle/10665.2/49679/9789275120453_eng.pdf?sequence=2&isAllowed=y.

[48] Wilkinson, C., M. Livingston and R. Room (2016), “Impacts of changes to trading hours of liquor licences on alcohol-related harm: a systematic review 2005–2015”, Public Health Research & Practice, Vol. 26/4, p. 2641644, https://doi.org/10.17061/phrp2641644.

[168] Witkiewitz, K., K. Saville and K. Hamreus (2012), “Acamprosate for treatment of alcohol dependence: Mechanisms, efficacy, and clinical utility”, Therapeutics and Clinical Risk Management, Vol. 8, pp. 45-53, https://doi.org/10.2147/TCRM.S23184.

[148] Wolfenden, L. et al. (2018), “Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity”, Cochrane Database of Systematic Reviews, Vol. 11/11, p. CD012439, https://doi.org/10.1002/14651858.CD012439.pub2.

[162] Wutzke, S. et al. (2002), “The long-term effectiveness of brief interventions for unsafe alcohol consumption: A 10-year follow-up”, Addiction, Vol. 97/6, pp. 665-675, https://doi.org/10.1046/j.1360-0443.2002.00080.x.

[211] Yadav, R. and M. Kobayashi (2015), “A systematic review: Effectiveness of mass media campaigns for reducing alcohol-impaired driving and alcohol-related crashes.”, BMC Public Health, Vol. 15/1, p. 857, https://doi.org/10.1186/s12889-015-2088-4.

[210] Young, B. et al. (2018), “Effectiveness of mass media campaigns to reduce alcohol consumption and harm: A systematic review”, Alcohol and Alcoholism, Vol. 53/3, pp. 302-316, https://doi.org/10.1093/alcalc/agx094.

[204] Zhao, J. et al. (2020), “The effects of alcohol warning labels on population alcohol consumption: An interrupted time series analysis of alcohol sales In Yukon, Canada”, Journal of Studies on Alcohol and Drugs, Vol. 81/2, pp. 225-237, https://doi.org/10.15288/jsad.2020.81.225.

Notes

← 1. On 7 February 2020, the WHO announced plans to replace the 2010 Global Strategy with a new action plan, spanning 2022-2030 (WHO, 2020[238]).

← 2. A standard drink is a measure of alcohol consumption in a drink and differs across beverage types and countries. In Australia, for example, one standard drink includes 10 g of alcohol, so a 750 mL bottle of wine (13.5% ABV) contains eight standard drinks (Australian Government Department of Health, 2019[237]).

← 3. In Portugal, there is a national legal requirement to display consumer information on calories, additives, vitamins and microelements for wine; however, this requirement applies to neither beer nor spirits. In Norway, legislation has been passed to introduce nutritional value labelling, but at the time of writing the legislation had not yet been implemented (WHO, 2018[181]).

← 4. A range of indicators were used to assess implementation status across the ten alcohol policy areas. An overview is provided here; for further details on the methodology, please see Alcohol Policy Scoring (WHO Regional Office for the Americas, 2018[90]). The following indicators were used to score each alcohol policy dimension:

  • Leadership – national policy document on alcohol; definition of an alcoholic beverage; definition of a standard drink; awareness activities.

  • Health services – SBIs; special treatment programmes; pharmacological treatment.

  • Community – school-based prevention and reduction; work-place alcohol problem prevention and counselling.

  • Drink-driving – BAC limit; sobriety checkpoints; randomised breath testing; penalties.

  • Availability – minimum age; control of retail sales; restrictions on time of sale; restrictions on place of sale, alcohol free environments and restrictions of alcohol sales at specific events

  • Marketing – legally binding restrictions on: advertising; product placement; sport sponsorship and youth events; promotions by producers, retailers and owners of pubs and bars.

  • Pricing – tax adjusted for inflation; affordability; other price measures.

  • Reducing harm – server training; health warning labels.

  • Public health impact – estimate of unrecorded alcohol consumption; legislation to prevent illegal production and sale of alcohol.

  • Monitoring and surveillance – national monitoring system.

Due to data availability, the Kingdom of Saudi Arabia was omitted from the analysis.

Limitations: the following sub-policies were excluded due to data availability: 1.1, 1.4, 3.2, 3.3, 7.2, 9.1 and 10.2. For certain indicators, due to the clustering of scores (i.e. countries with the same score), dividing countries into four quartiles was not possible (e.g. for “Reduce PH impact” and “Community”). Because the number of countries is not divisible by four, and given the minimal variation in scores across countries, an equal number of countries in quartiles was not possible.

Metadata, Legal and Rights

This document, as well as any data and map included herein, are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. Extracts from publications may be subject to additional disclaimers, which are set out in the complete version of the publication, available at the link provided.

© OECD 2021

The use of this work, whether digital or print, is governed by the Terms and Conditions to be found at http://www.oecd.org/termsandconditions.