Skip to main content

Drinking behaviours and blood alcohol concentration in four European drinking environments: a cross-sectional study



Reducing harm in drinking environments is a growing priority for European alcohol policy yet few studies have explored nightlife drinking behaviours. This study examines alcohol consumption and blood alcohol concentration (BAC) in drinking environments in four European cities.


A short questionnaire was implemented among 838 drinkers aged 16-35 in drinking environments in four European cities, in the Netherlands, Slovenia, Spain and the UK. Questions included self-reported alcohol use before interview and expected consumption over the remainder of the night. Breathalyser tests were used to measured breath alcohol concentration (converted to BAC) at interview.


Most participants in the Dutch (56.2%), Spanish (59.6%) and British (61.4%) samples had preloaded (cf Slovenia 34.8%). In those drinking < 3 h at interview, there were no differences in BAC by gender or nationality. In UK participants, BAC increased significantly in those who had been drinking longer, reaching 0.13% (median) in females and 0.17% in males drinking > 5 h. In other nationalities, BAC increases were less pronounced or absent. High BAC (> 0.08%) was associated with being male, aged > 19, British and having consumed spirits. In all cities most participants intended to drink enough alcohol to constitute binge drinking.


Different models of drinking behaviour are seen in different nightlife settings. Here, the UK sample was typified by continued increases in inebriation compared with steady, more moderate intoxication elsewhere. With the former being associated with higher health risks, European alcohol policy must work to deter this form of nightlife.

Peer Review reports


Reducing the negative consequences of drinking and alcohol intoxication is a key global health priority [1]. The European Region has the highest levels of alcohol consumption in the world and the greatest proportion of ill health and premature death attributable to alcohol [2]. Although most alcohol-related deaths occur in older age groups, the burden of alcohol on mortality and morbidity falls disproportionately on young people, largely through acute alcohol-related injuries [35]. The relationship between alcohol and injury is dose-responsive, with injury risks increasing with blood alcohol concentration (BAC) [6] and being particularly acute for heavy episodic drinkers [7]. Studies show that heavy episodic drinking peaks in the late teenage years and early adulthood [8], with much alcohol use and harm in this age group taking place in public drinking environments [9]. Thus, policy recommendations to reduce harm from alcohol both internationally and in Europe are focusing on managing drinking environments, including through regulation, enforcement, management policies for bars and nightclubs, bar staff training and care for intoxicated individuals [1]. However, there are currently little empirical data available on drinking behaviours in European drinking environments to inform such measures.

There are wide variations in drinking cultures across Europe. Traditionally, a north-south gradient has been characterised by daily, moderate consumption of wine with food in Southern countries and infrequent heavy consumption of beer or spirits as an intoxicant in Northern countries [10]. Whilst cultural differences are still apparent [1012], drinking patterns are thought to be converging across Europe. In particular, recent years have seen increases in heavy episodic drinking among young people in many European countries [13], with concerns that Northern cultures of heavy drinking and intoxication are spreading [4, 14]. However, cross-national comparisons of alcohol use in young Europeans typically rely on school surveys of adolescents [13, 15]. Data on drinking behaviours in young adults are drawn largely from general population surveys, that are known to underestimate consumption [16, 17] and provide little context on nightlife drinking behaviours. A small number of cross-national studies have examined nightlife drinking behaviours and associated harms in young Europeans [11, 12] with, for example, higher levels of drunkenness having been identified in those from Northern European countries [11]. However, few European studies have attempted to measure drinking behaviours actually in nightlife environments, and none have done so on a cross-national basis.

Recent single-country studies have used breathalyser tests alongside surveys to measure alcohol consumption and intoxication in nightlife settings [1821]. In the UK, strong correlations have been found between reported alcohol use, BAC and intoxication in nightlife, with associations found between certain nightlife behaviours (e.g. preloading [consuming off-licensed alcohol before entering the nightlife environment]; staying out later) and higher levels of alcohol consumption and intoxication [18]. Here, we present findings from a study that used a similar methodology in nightlife environments in four European cities: Liverpool (UK); Ljubljana (Slovenia); Palma de Mallorca (Spain); and Utrecht (the Netherlands). While each city cannot be considered nationally representative, all are popular nightlife locations selected to be indicative of a range of nightlife cultures. Thus, UK nightlife is typically characterised by high levels of alcohol use, drunkenness and related harms including violence [2224], while reports suggest that alcohol use and associated violence have also been increasing in Dutch nightlife settings [25]. The Balearic Islands in Spain have a long history of nightlife linked to international tourism; while heavy nightlife drinking has traditionally been limited to tourists, recent years have seen increasing alcohol use in local youth, linked to the practice of botellón--the gathering of young people in public places to consume off licensed alcohol (often before visiting bars and nightclubs) [26]. Research on nightlife in Slovenia is scarce; while levels of adolescent alcohol use are relatively high [27] little is known about nightlife drinking behaviours, although associated problems such as violence are considered rare [28].

The objectives of this study were to examine the amount of alcohol young adults reported drinking across the course of a night out in the four cities, and to measure BAC among drinkers during their night out. The study aimed to establish and test a cross-national methodology to measure drinking behaviours in nightlife environments, and to provide an initial assessment of variation in drinking patterns and intoxication across different European nightlife settings. Developing this knowledge is important in understanding differences in nightlife alcohol consumption across cultures and consequently in informing the development of appropriate and culturally relevant measures to reduce harm in drinking environments. Thus, analyses explore differences between city samples in reported drinking behaviours and BAC levels over a night out.


The study took place in four cities: Utrecht (the Netherlands); Ljubljana (Slovenia); Palma de Mallorca (Spain); and Liverpool (UK). All sites were part of a broader investigation into alcohol-related harm in drinking environments [22]. At the time of this study1, Utrecht (population ~300,000) city centre had around 160 nightlife venues (pubs, bars and nightclubs), with most closing between 2 am and 5 am. Liverpool (population ~435,000) city centre had 304 nightlife venues, over half of which were licensed to stay open later than 2 am. Despite being the only capital city studied, Ljubljana (population ~277,000) had the smallest number of city centre nightlife venues (n = 41) that closed between midnight and 5 am. Palma (population ~400,000) reported 500 nightlife venues within its broader municipality area, including those in tourist resorts surrounding the city; however our study focused on city centre drinking environments popular with locals, where closing times were largely between 4 am and 6 am. In Liverpool, Ljubljana and Palma, the legal age for alcohol sales was 18. In Utrecht, beer and wine sales were permitted at age 16, with stronger alcohol sales (i.e. spirits) restricted to those aged 18 and over.

A short questionnaire was developed to examine: the time at which individuals had started drinking on the survey night; alcohol consumption up to the point of interview; whether they had preloaded (defined as drinking alcohol at their own or a friend's home before going out; participation in botellón was also recorded in Spain); expected alcohol consumption over the remainder of the night; whether they had, or intended to, use illicit drugs that night; and expected home time. The questionnaire was based on an existing tool used in UK drinking environments [18], adapted at a research meeting to be applicable in each location and ensure all questions were translated appropriately. A training package was delivered to research leads from each country to instruct them on consistent implementation of the study. Each research lead then recruited field researchers from their own city and repeated the training session with them.

In each city, researchers were instructed to identify peak periods for nightlife activity and to undertake data collection at these times in the streets around drinking venues popular with young people. The study took place on Thursday, Friday and Saturday nights (September to November 2010) between 10 pm and 5 am, with study timings dependent upon local nightlife activity. Recruitment of participants used a structured approach with teams of two researchers working in parallel and using a series of different locations in each city for periods of 1 h at a time. A target sample of 200 participants was set for each city (based on previous work in the UK [18]); the eligibility criteria was being a 16-35 year old drinker, using bars and nightclubs in the relevant city on the night of survey, and being a national of the survey country. To meet ethics requirements, researchers were instructed to visually assess potential participants and exclude those who were already too intoxicated to participate; the number of such individuals excluded ranged from three in Slovenia to 21 in Spain.

Researchers approached potential participants and asked them if they had time to complete a short anonymous survey about alcohol. Of 1,495 individuals approached, 483 refused to participate before the nature of the survey was explained to them and a further 131 declined after receiving a study explanation. Thus, overall compliance was 58.9% (Netherlands 66.8%, Slovenia 48.6%, Spain 55.4%, UK 69.3%). For the 881 individuals consenting, questionnaires were completed by researchers through an interview process. Following questionnaire completion, participants were breathalysed using the Lion 500 alcometer and results were recorded on their questionnaire. Completed questionnaires were returned to the UK and entered into a database for analysis using SPSS v17. At this stage, 43 questionnaires were excluded due to participants being outside of the target age or nationality range, questionnaires being incomplete or illegible, or data being clearly inconsistent, leaving a final sample of 838 (Netherlands n = 204; Slovenia n = 221; Spain n = 191; UK n = 222).

The questionnaire recorded alcohol use by detailing the number of standard and large drinks of lager/beer, cider, wine, alcopops and spirits participants had consumed by interview, and expected to consume over the remainder of the night. For analysis, drinks were converted to grams of alcohol using an online conversion tool [29]. To account for differences in alcohol strengths and serving sizes across sites, conversions were based on typical standard/large drink sizes and alcohol strengths in each country (with information obtained via research leads or published literature [30]). Thus, the gram value used for drink types varied between locations with, for example, a standard glass of wine coded as 16.8 g of alcohol in Slovenia and the UK, 11.2 g in Spain and 9.6 g in the Netherlands. For analysis, breath alcohol concentration was converted to the more commonly used blood alcohol concentration (%BAC; milligrams of alcohol per 100 ml of blood) according to established UK ratios [31]. Analysis used chi squared, Kruskal Wallace and logistic regression. Ethical approval for the study was obtained from Liverpool John Moores University research ethics committee in the UK.


A greater proportion of males were surveyed in the Netherlands, Slovenia and Spain, and younger samples obtained in Spain and the UK (Table 1). In each location, over three quarters of participants had started drinking at least 3 h before interview. Around half in the Netherlands and UK had been in the nightlife environment for < 3 h when interviewed, whilst most in Slovenia and Spain had been out for at least 3 h. Based on participants' expected home time, the Dutch sample reported the shortest expected total stay in the nightlife environment (59.5% < 5 h).

Table 1 Participant demographics and nightlife characteristics at the point of survey

Over half of Dutch (56.2%) and British (61.4%) participants had preloaded on the survey night. In Spain, 25.7% reported such preloading, yet a further 33.9% reported having participated in botellón (group drinking of off-licensed alcohol in public settings). As botellón can be a form of preloading in those attending bars and nightclubs, these Figures were combined to give the Spanish sample preloading levels similar to those in UK and Netherlands, with levels significantly lower in Slovenia (34.8%). Gender differences in preloading were only significant in the UK, where females reported higher levels than males (Table 2).

Table 2 Alcohol consumption and %BAC at interview and total expected alcohol consumption on the night out

For females, there were no differences between nationalities in the median grams of alcohol participants reported having consumed by the point of interview (range 50.4 g to 56.8 g; Table 2). However, median BAC at interview varied significantly, being lowest in Slovenia (0.05%BAC) and highest in the UK (0.10%BAC). Among males, both reported grams consumed and BAC varied significantly, with both being highest in the UK (Table 2). In all countries, median grams of alcohol consumed by interview were significantly higher in males than females. Gender differences in BAC were significant in all countries except Spain.

To account for varying interview times, alcohol consumption and BAC were analysed by the length of time between participants' first alcoholic drink that day and their survey participation (Figures 1 and 2). For both sexes, in the shortest time category (drinking < 3 h at interview) there were no significant differences between nationalities in median grams of alcohol consumed by interview or in BAC. There were also no gender differences within countries. In all samples, self-reported consumption by interview increased in those who had been drinking for longer, yet this increase was most pronounced in UK samples (Figure 1). Correspondingly, UK participants of both sexes measured significant increases in median BAC as length of time since the first drink increased (Figure 2). Males from the Netherlands and Slovenia also saw increases in BAC with time spent drinking, yet these increases were largely between the first and second time drinking categories. There were no differences in BAC by time drinking in females of other nationalities.

Figure 1

Median grams of alcohol (and interquartile range) consumed by interview, by time since first drink. Analysis uses Kruskal Wallis Test. aP between nationalities across time periods; bP between time periods within locations.

Figure 2

Median %BAC (and interquartile range) measured at interview by time since first drink. Analysis uses Kruskal Wallis Test. aP between nationalities across time periods; bP between time periods.

Analysis by interview hour found that median BAC in UK females exceeded 0.08% in those interviewed at 11.00-11.59 pm, and continued to increase up to the final UK survey hour of 2.00-2.59 am, where median BAC reached 0.16%. Similar increases were seen in UK males, with median BAC exceeding 0.10% at 11.00-11.59 pm and reaching 0.19% by 2.00-2.59 am. Among females of other nationalities, median BAC did not increase with interview time and reached 0.08% only in Dutch females surveyed at 2.00-2.59 am. In non-UK males, the highest median%BAC was seen in Slovenia at 2.00-2.59 pm (0.12%). The Spanish team interviewed latest into the night and here median BAC remained under 0.08% even in those surveyed from 4.00 to 5.00 am. Logistic regression was used to identify demographic and drink choice factors independently associated with high BAC (> 0.08%; the highest legal driving limit across the four study countries (UK) and a commonly used indicator of intoxication [32, 33]). High BAC was associated with being male, aged > 19, British, having been drinking for longer at interview, and having consumed spirits prior to interview (Table 3).

Table 3 Adjusted odds ratios (AOR) for high blood alcohol concentration (> 0.08%BAC) at interview

Spirits were among the most common drinks reported by participants from the UK, Spain and Slovenia (Table 2). However, Dutch participants more commonly drank beer and, for females, wine. Among UK females and both sexes from Spain, spirits accounted for over half of all grams of alcohol consumed by interview. Beer accounted for the majority of grams consumed by Dutch males, and over half of those consumed by British males.

British participants expected to drink the most additional alcohol over the remainder of their night out, although differences between nationalities were only significant for males. These expected grams of alcohol were added to those participants reported having already consumed to give an estimate of total alcohol use on the survey night. For both sexes, this was highest in the UK, reaching a median of 104.8 g for females and 176.8 g for males. It was lowest in Slovenia, where median total grams remained < 70 g for females and < 80 g for males. In both Slovenia and Spain, total grams did not vary by gender. Median total grams in Dutch males was closer to that in British males (Table 2), yet in Dutch females median total grams was more akin to that in females from Spain and Slovenia. In all samples, consuming the total expected grams would have meant most participants drank enough to constitute binge drinking (here defined as drinking > 6 [female] or > 8 [male] UK units of alcohol in one session [11], equivalent to > 48 g of alcohol for females and > 64 g for males; range 61.6% of males in Slovenia to 96.0% of males in the UK).

In addition to alcohol consumption, 10.7% of the sample reported having used, or intending to use, illicit drugs on the night of survey, predominantly cannabis (73.3%) followed by cocaine (30.2%). Drug use was most commonly reported by Spanish participants (21.3%, compared with 6.0%, 8.1% and 9.0% in the Dutch, British and Slovenian samples respectively).


Our study faced a number of limitations beyond those common to nightlife research [18, 34]. Differences in nightlife habits meant that interviews were not conducted at consistent times in each study site but rather were targeted at the busiest periods in each city. Thus, we did not attempt to recruit representative samples of nightlife users but rather prospective samples indicative of the range of individuals participating in recreational drinking at peak times. With study implementation limited to one city in each country, sample sizes relatively small and overall compliance at 58.9%, findings should only be extrapolated with caution.

Recording alcohol consumption across four cultures was complicated by variations in alcoholic drink types and measures. Thus, we recorded the numbers of different drinks individuals reported in two size categories and converted these to grams of alcohol based on local standard drink sizes and strengths. The reliability of alcohol estimates will be further constrained by variations in self-poured alcohol consumed during preloading [35] and recall issues [34]. Studies suggest that heavier drinkers can be more likely to underestimate their alcohol consumption [36, 37], an effect potentially seen among UK participants in our study. Thus, UK females reported a similar median of grams of alcohol at interview to females of other nationalities but had significantly higher median BAC, suggesting that alcohol use may have been under-reported (Table 2). The use of breathalysers provided a mechanism for recording a more comparable measure of intoxication across cities, although the same BAC can have different effects on different people and consequently BAC is not a reliable measure of drunkenness [34]. Further, individuals who were severely intoxicated were excluded to meet ethical requirements, meaning median reported alcohol consumption and BAC are likely to be underestimated. Despite training researchers in identifying such individuals for exclusion, differences in researchers' cultural and personal perceptions of intoxication may have introduced further bias to the samples obtained. However, even in Spain where the number excluded was highest, such individuals represented only 5.8% of potential participants. Finally, the validity of responses to questions on expected behaviours (alcohol use, home time) post survey could not be verified in our study, and in particular several participants (n = 147, 17.5%) felt unable to provide an estimate of how much additional alcohol they would consume that night.

This investigation into drinking behaviours in European nightlife found high levels of alcohol consumption in all cities. The majority of individuals reported consumption equivalent to levels commonly used to measure binge drinking [11], and by the point of interview median reported alcohol consumption had already reached binge drinking levels for both sexes, with many individuals intending to continue drinking. Despite screening out those assessed as too drunk to participate in the survey, 56.2% of all males and 42.7% of all females had BACs greater than 0.08%. However, significant differences were seen between nationalities in most measures of alcohol use. Specifically, participants from the UK had significantly higher BACs at interview and expected to consume the greatest total grams of alcohol across the course of their night out (Table 2). In line with the characterised north-south divide in drinking cultures in Europe [10], the lowest BACs and expected consumption levels were seen in the southern countries (Slovenia and Spain). In all countries, reported alcohol use and BAC were higher in males than in females, although differences were not always significant.

A range of studies have documented the high levels of alcohol use and intoxication in UK nightlife users [18, 23]. Cross-national studies have suggested they are also at increased risk of social harms associated with their drinking, particularly violence [11]. This culture of intoxication is clearly apparent in our study, with findings indicating that many UK nightlife users fail to moderate their drinking across a night out. Thus, whilst BAC and grams of alcohol consumed by interview in individuals from the Netherlands, Slovenia and Spain increased more moderately or not at all with the time spent drinking, in UK participants both continued to increase on a substantially steeper trajectory. Further, median %BAC increased with interview time in UK respondents, with both genders exceeding a median of 0.08%BAC by the 11.00-11.59 pm time period and reaching at least double this level by 2.00-2.59 am. Notably, median BAC at interview was higher in UK females than that of males of other nationalities. These findings are consistent with UK nightlife being a considerably more intoxicated environment than that in other European countries.

There is a growing evidence base on the effectiveness of strategies to reduce alcohol-related harm in drinking environments. Studies suggest that measures including targeted enforcement in venues associated with alcohol-related problems and bar staff training can be effective, particularly when integrated into broader, multi-agency programmes that mobilise communities into co-ordinated action [38, 39]. Regulatory measures that reduce the availability of alcohol through, for example, restrictions on alcohol outlet density and increased alcohol price, are also likely to have significant effect but are rarely used in practice [40]. However, most evidence on the effectiveness of interventions in drinking environments stems from studies outside of Europe (North America and Australia), with European evidence limited largely to studies in northern European countries (UK and Scandinavian countries [9, 38]). These interventions are often designed to reduce alcohol-related crime and violence in cultures of intoxication. Such interventions may not be appropriate to tackle the smaller proportion of individuals drinking heavily in other countries. A study of nightlife risk behaviours in young Europeans suggested that drink driving may be a particular issue for those from southern countries [12, 41].

Strategies to reduce alcohol-related harm in drinking environments should not limit their attention to on-licensed alcohol consumption. Preloading has been identified as a major feature of nightlife participation in several countries [36, 4244], and has been associated with greater alcohol consumption in nightlife users as well as involvement in violence [23, 44]. No independent associations were found between preloading and high BAC in our study, although preloading was found to be widespread. Over half of participants of both genders from the UK, Netherlands and Spain, and a third from Slovenia, had consumed alcohol before going to bars and nightclubs on the survey night. Gender differences in preloading were only significant in the UK, where females reported higher levels than males. Preloading can be undertaken for a variety of reasons including to save money (through consumption of cheaper off-licensed alcohol), to achieve drunkenness and to socialise with friends. This latter reason may be particularly important for British females, for whom the act of getting ready to go out is often a protracted social process that can itself form a key part of the night out [45]. Although the drivers behind female preloading in the UK have yet to be fully explored [46], factors around safety, confidence and group bonding may also be important for young women preparing to visit an environment perceived as sexually and physically aggressive. These issues require further research, as do the lower levels of preloading identified among the sample from Slovenia.

In Spanish participants, around half of those classed as preloaders had participated in botellón, a phenomenon of drinking in public places that has become increasingly widespread among Spanish youth and is appearing in other southern European countries (e.g. Portugal [47]). Like preloading in other settings (e.g. homes, college residences [43]), a key reason for participation in botellón is the lower price of off-licensed alcohol compared with that in bars and nightclubs [26]. Preloading with off-licensed alcohol can mean that bars and nightclubs face an increasingly intoxicated customer base, which is likely to hamper strategies that aim to reduce harm in drinking environments through, for example, promoting responsible beverage service and bar management.

Studies of the Spanish botellón and youth drinking elsewhere in Europe are noting a shift in the type of alcohol consumed by young people in southern Europe, characterised by greater beer and spirits consumption [14, 48]. Across Europe in general, traditional preferences (particularly among males) for wine in southern countries and beer or spirits in northern countries [4, 10] have diminished in recent years, although wine and beer continue to account for the greatest share of alcohol use in most southern and northern countries respectively. In 2002, spirits were found to account for less than a third of alcohol consumption across each of the 15 European Union countries and Norway [4]. In contrast, our study of young adults in nightlife environments found a preference towards spirits in both sexes from all participating countries except the sample from the Netherlands. In particular, over 70% of Spanish participants had consumed spirits prior to interview, with spirits accounting for almost two thirds of all grams of alcohol consumed by the Spanish sample. Although spirits are often consumed during botellón [48], spirits consumption was most common in those who had only consumed alcohol in bars and nightclubs (83.1%, compared with 64.4% of botellón participants and 74.5% of pre-drinkers, P < 0.05). Spirits increase BAC more rapidly than consumption of other drink types [49] and have been associated with greater alcohol consumption, more frequent risky drinking occasions, and drinking motives focused on fun and drunkenness [50]. In our study, consumption of spirits was independently associated with having a BAC > 0.08% at interview. The strong preference for spirits in our samples thus provides support for a growing normalisation of intoxication among young Europeans.

Drinking behaviours in European nightlife settings will be influenced by a range of social, cultural, economic and environmental factors, including the availability and affordability of alcohol. For example, although findings are mixed, studies suggest that greater density of alcohol outlets and longer opening hours are associated with increased alcohol use and related harms [51, 52]. The price of alcohol also has a strong influence, particularly in young people, and studies show that alcohol has become more affordable in most European countries over recent years [53]. However, national economic analyses say little about local conditions, and factors including cheap drinks promotions in nightlife venues and large discrepancies between on and off licensed alcohol prices will impact on how and where young people drink over the course of a night out. Equally, the drinking environment in licensed premises (e.g. crowding, poor cleanliness), bar manager and staff practice (e.g. service of alcohol to drunk customers), and local alcohol policy and enforcement activity (e.g. policing of problem premises, punishment of sales of alcohol to minors) may all affect drinking behaviours and alcohol-related harm [22, 38]. There is currently a lack of data on such factors within different European drinking environments and whether they are driving the differences in drinking patterns identified in this study.


This study has provided an examination of drinking behaviours and BAC among young people in four European drinking environments. High levels of preloading and alcohol use were seen in nightlife in all cities. Excessive alcohol use can lead to a wide range of health and social harms, including violence and unintentional injury, risky sexual behaviour, anti-social behaviour, and poor educational and work performance. Critically, occasional heavy drinking sessions also increase an individual's risk of later mortality through an alcohol-related disease [54]. With alcohol already a leading cause of death in young Europeans [55], the high levels of alcohol use seen in our study emphasise the need for co-ordinated strategies to reduce harm in drinking environments. However, while a wide range of drinking patterns was present in all cities studied, those in Spain, Slovenia and the Netherlands were largely characterised by steady, more moderate intoxication compared with escalating inebriation in the UK. As drinking patterns, alcohol policy and commercial interests converge across Europe, the challenge for public health is to ensure that models of escalating inebriation in nightlife environments are replaced rather than replicated.


1Data on drinking environments were obtained by research partners from the relevant authorities in each city.


  1. 1.

    World Health Organization: Global strategy to reduce the harmful use of alcohol. 2010, Geneva

    Google Scholar 

  2. 2.

    Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J: Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet. 2009, 373: 2223-2233. 10.1016/S0140-6736(09)60746-7.

    Article  PubMed  Google Scholar 

  3. 3.

    Rehm J, Taylor B, Patra J: Volume of alcohol consumption, patterns of drinking and burden of disease in the European region 2002. Addiction. 2006, 101: 1086-1095. 10.1111/j.1360-0443.2006.01491.x.

    Article  PubMed  Google Scholar 

  4. 4.

    Anderson P, Baumberg A: Alcohol in Europe: a public health perspective. 2006, London: Institute of Alcohol Studies

    Google Scholar 

  5. 5.

    Rehm J, Zatonksi W, Taylor B, Anderson P: Epidemiology and alcohol policy in Europe. Addiction. 2011, 106 (S1): 11-19.

    Article  PubMed  Google Scholar 

  6. 6.

    Taylor B, Irving HM, Kanteres F, Room R, Borges G, Cherpitel C, et al: The more you drink, the harder you fall: a systematic review and meta-analysis of how acute alcohol consumption and injury or collision risk increase together. Drug Alcohol Depend. 2010, 110: 108-116. 10.1016/j.drugalcdep.2010.02.011.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Gmel G, Bissery A, Gammeter R, Givel J-C, Calmes J-M, Yersin B, et al: Alcohol-attributable injuries in admissions to a Swiss emergency room--an analysis between volume of drinking, drinking patterns and preattendance drinking. Alcohol Clin Exp Res. 2006, 30: 501-509. 10.1111/j.1530-0277.2006.00054.x.

    Article  PubMed  Google Scholar 

  8. 8.

    Gmel G, Kuntsche E, Rehm J: Risky single-occasion drinking: bingeing is not bingeing. Addiction. 2010, 106: 1037-1045.

    Article  PubMed  Google Scholar 

  9. 9.

    Hughes K, Furness L, Jones L, Bellis MA: Reducing harm in drinking environments: evidence and practice in Europe. 2010, Liverpool: Centre for Public Health, Liverpool John Moores University

    Google Scholar 

  10. 10.

    Makela P, Gmel G, Grittner U, Kuendig H, Kuntsche S, Bloomfield K, et al: Drinking patterns and their gender differences in Europe. Alcohol Alcohol. 2006, 41 (S1): i8-i18.

    Article  Google Scholar 

  11. 11.

    Plant MA, Plant ML, Miller P, Gmel G, Kuntsche S: The social consequences of binge drinking: a comparison of young adults in six European countries. J Addict Dis. 2009, 28: 294-308. 10.1080/10550880903182978.

    Article  PubMed  Google Scholar 

  12. 12.

    Calafat A, Blay NT, Hughes K, Bellis MA, Juan M, Duch M, et al: Nightlife young risk behaviours in Mediterranean versus other European cities: are stereotypes true?. Eur J Public Health. doi:10.1093/eurpub/ckq141

  13. 13.

    Hibell B, Guttormsson U, Ahlstrom S, Balakireva O, Bjarnason T, Kokkevi A, et al: The 2007 ESPAD report: substance use among students in 35 European countries. 2009, Stockholm: The Swedish Council for Information on Alcohol and other Drugs

    Google Scholar 

  14. 14.

    Jarvinen M, Room R: Youth drinking cultures: European experiences. 2007, Aldershot: Ashgate

    Google Scholar 

  15. 15.

    Currie C, Gabhainn SN, Godeau E, Roberts C, Smith R, Currie D, et al: Inequalities in young people's health: HBSC international report from the 2005/2006 survey. 2008, Copenhagen: World Health Organization Regional Office for Europe

    Google Scholar 

  16. 16.

    Bellis MA, Hughes K, Cook PA, Morleo M: Off measure: how we underestimate how much we drink. 2009, London: Alcohol Concern

    Google Scholar 

  17. 17.

    Nelson DE, Naimi TS, Brewer RD, Roeber J: US state alcohol sales compared to survey data, 1993-2006. Addiction. 2010, 105: 1589-1596. 10.1111/j.1360-0443.2010.03007.x.

    Article  PubMed  Google Scholar 

  18. 18.

    Bellis MA, Hughes K, Quigg Z, Morleo M, Jarman I, Lisboa P: Cross-sectional measures and modelled estimates of blood alcohol levels in UK nightlife and their relationships with drinking behaviours and observed signs of inebriation. Subst Abuse Treat Prev Policy. 2010, 5: 5-

    Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Moore S, Shepherd J, Perham N, Cusens B: The prevalence of alcohol intoxication in the night-time economy. Alcohol Alcohol. 2007, 42: 629-634.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Glindemann KE, Wiegand DM, Geller ES: Celebratory drinking and intoxication: a contextual influence on alcohol consumption. Environ Behav. 2007, 39: 352-366. 10.1177/001391650290949.

    Article  Google Scholar 

  21. 21.

    Clapp JD, Reed MB, Min JW, Shillington AM, Croff JM, Holmes MR, et al: Blood alcohol concentrations among bar patrons: a multi-level study of drinking behavior. Drug Alcohol Depend. 2009, 102: 41-48. 10.1016/j.drugalcdep.2008.12.015.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Hughes K, Quigg Z, Eckley L, Bellis MA, Jones L, Calafat A, et al: Environmental factors in drinking venues and alcohol-related harm: the evidence base for European intervention. Addiction. 2011, 106 (S1): 37-46.

    Article  PubMed  Google Scholar 

  23. 23.

    Hughes K, Anderson Z, Morleo M, Bellis MA: Alcohol, nightlife and violence: the relative contributions of drinking before and during nights out to negative health and criminal justice outcomes. Addiction. 2008, 103: 60-65. 10.1111/j.1360-0443.2007.02030.x.

    Article  PubMed  Google Scholar 

  24. 24.

    Bellis MA, Hughes K: Getting drunk safely? Nightlife policy in the UK and its public health consequences. Drug Alcohol Rev. 2011, 30: 536-545. 10.1111/j.1465-3362.2011.00290.x.

    Article  PubMed  Google Scholar 

  25. 25.

    van Calster P, van der Leun J, van Hasselt N: The Netherlands. Nightlife and crime: social order and governance in international perspective. 2009, Edited by Hadfield P. Oxford: Oxford University Press

    Google Scholar 

  26. 26.

    Calafat A, Juan M, Becona E, Castillo A, Fernandez C, Franco M, et al: El consumo de alcohol en la logica del botellon. Adicciones. 2005, 17: 193-202.

    Article  Google Scholar 

  27. 27.

    Danielsson A-K, Wennberg P, Hibell B, Romelsjö A: Alcohol use, heavy episodic drinking, and subsequent problems among adolescents in 23 European countries: does the prevention paradox apply?. Addiction. postprint, doi: 10.1111/j.1360-0443.2011.03537x

  28. 28.

    IREFREA: Recreational-prev: survey report. 2006, Palma: IREFREA

    Google Scholar 

  29. 29.

    Drinkaware: Unit Calculator. []

  30. 30.

    Gual A, Martos AR, Lligona A, Llopis JJ: Does the concept of a standard drink apply to viticultural societies?. Alcohol Alcohol. 1999, 34: 153-160.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Transport Act 1981. 1981, London: Her Majesty's Stationery Office

  32. 32.

    Shanin H, Gopinath SP, Robertson CS: Influence of alcohol on early Glasgow Coma Scale in head-injured patients. J Trauma. 2010, 69: 1176-1181. 10.1097/TA.0b013e3181edbd47.

    Article  Google Scholar 

  33. 33.

    Hopthrow T, Abrams D, Frings D, Hulbert LG: Groupdrink: the effects of alcohol on intergroup competitiveness. Psychol Addict Behav. 2007, 21: 272-276.

    Article  PubMed  Google Scholar 

  34. 34.

    Aldridge J, Charles V: Researching the intoxicated: informed consent implications for alcohol and drug research. Drug Alcohol Depend. 2008, 93: 191-196. 10.1016/j.drugalcdep.2007.09.001.

    Article  PubMed  Google Scholar 

  35. 35.

    Gill JS, Donaghy M: Variation in the alcohol content of a 'drink' of wine and spirit poured by a sample of the Scottish population. Health Educ Res. 2004, 19: 485-491.

    Article  PubMed  Google Scholar 

  36. 36.

    Townshend JM, Duka T: Patterns of alcohol drinking in a population of young social drinkers: a comparison of questionnaire and diary measures. Alcohol Alcohol. 2002, 37: 187-192.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Grant S, LaBrie JW, Hummer JF, Lac A: How drunk am I? Misperceiving one's level of intoxication in the college drinking environment. Psychol Addict Behav. 2011, doi: 10.1037/a0023942

    Google Scholar 

  38. 38.

    Jones L, Hughes K, Atkinson A, Bellis MA: Reducing harm in drinking environments: a systematic review of effective approaches. Health Place. 2011, 17: 508-518. 10.1016/j.healthplace.2010.12.006.

    Article  PubMed  Google Scholar 

  39. 39.

    Graham K, Homel R: Raising the bar: preventing aggression in and around bars, pubs and clubs. 2008, Portland, OR: Willan Publishing

    Google Scholar 

  40. 40.

    Hughes K, Bellis MA, Hughes S, Mikton C, Butchart A: Preventing violence by reducing the availability and harmful use of alcohol. 2009, Geneva: World Health Organization

    Google Scholar 

  41. 41.

    Calafat A, Blay N, Juan M, Adrover D, Bellis MA, Hughes K, et al: Traffic risk behaviours at nightlife: drinking, taking drugs, driving and use of public transport by young people. Traffic Inj Prev. 2009, 10: 162-169. 10.1080/15389580802597054.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    DeJong W, DeRicco B, Schneider SK: Pregaming: an exploratory study of strategic drinking by college students in Pennsylvania. J Am Coll Health. 2010, 58: 307-316. 10.1080/07448480903380300.

    Article  PubMed  Google Scholar 

  43. 43.

    Wells S, Graham K, Purcell J: Policy implications of the widespread practice of 'pre-drinking' or 'pre-gaming' before going to public drinking establishments: are current prevention strategies backfiring?. Addiction. 2009, 104: 4-9. 10.1111/j.1360-0443.2008.02393.x.

    Article  PubMed  Google Scholar 

  44. 44.

    Wahl S, Kriston L, Berner M: Drinking before going out--a predictor of negative nightlife experiences in a German inner city area. Int J Drug Pol. 2010, 21: 251-254. 10.1016/j.drugpo.2009.10.003.

    Article  Google Scholar 

  45. 45.

    Szmigin I, Bengry-Howell A, Griffin C, Hackley C, Mistral W: Social marketing, individual responsibility and the "culture of intoxication". Eur J Marketing. 2011, 45: 759-779. 10.1108/03090561111120028.

    Article  Google Scholar 

  46. 46.

    Ritchie C, Ritchie F, Ward R: A good night out: alcohol-related behaviours in young adults. Worldwide Hospitality and Tourism Themes. 2009, 1: 169-193. 10.1108/17554210910962549.

    Article  Google Scholar 

  47. 47.

    Sobral C: Reportagem: viagem por uma noite de botellon em Lisboa Publico. 2011, []

    Google Scholar 

  48. 48.

    Tomas MTC, Tort BE, Costa JAG: Caracteristicas que definen el fenomeno del botellon en universitarios y adolescentes. Adicciones. 2007, 19: 357-372.

    Article  Google Scholar 

  49. 49.

    Smart RG, Walsh GW: Do some type of alcoholic beverages lead to more problems for adolescents?. J Stud Alcohol. 1995, 56: 35-38.

    CAS  Article  PubMed  Google Scholar 

  50. 50.

    Kuntsche E, Knibbe R, Gmel G, Engels R: 'I drink spirits to get drunk and block out my problems...' Beverage preference, drinking motives and alcohol use in adolescence. Alcohol Alcohol. 2006, 41: 566-573.

    Article  PubMed  Google Scholar 

  51. 51.

    Livingston M, Chikritzhs T, Room R: Changing the density of alcohol outlets to reduce alcohol-related problems. Drug Alcohol Rev. 2007, 26: 557-566. 10.1080/09595230701499191.

    Article  PubMed  Google Scholar 

  52. 52.

    Popova S, Giesbrecht N, Bekmuradov D, Patra J: Hours and days of sale and density of alcohol outlets: impacts on alcohol consumption and damage: a systematic review. Alcohol Alcohol. 2009, 44: 500-516.

    Article  PubMed  Google Scholar 

  53. 53.

    Rabinovich L, Brutscher P-B, de Vries H, Tiessen J, Clift J, Reding A: The affordability of alcoholic beverages in the European Union: understanding the link between alcohol affordability, consumption and harms. 2009, Santa Monica, CA: RAND Corporation

    Google Scholar 

  54. 54.

    Rehm J, Room R, Taylor B: Method for moderation: measuring lifetime risk of alcohol-attributable mortality as a basis for drinking guidelines. Int J Methods Psychiatr Res. 2008, 17: 41-151.

    Article  Google Scholar 

  55. 55.

    World Health Organization: Global burden of disease: global health risks summary tables. 2009, Geneva

    Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:

Download references


The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-13) under grant agreement no.223 059--Alcohol Measures for Public Health Research Alliance (AMPHORA). We would like to thank all the researchers who assisted with the study implementation, particularly Sara Wood, Adam Caris, Lindsay Eckley, Steve Duggan, Ian Wood, Sanela Talić, Mirela Brkić, Ferry Goossens, Joanne van der Leun, Cristina Gelabert, Marc Riera, Noelia Martínez, Rafael Umbert and Joan Recasens. We are grateful to all individuals who voluntarily participated in the research. We would also like to thank Michael Livingston, Peter Miller and Peter Anderson for their constructive comments on an earlier version of this manuscript.

Author information



Corresponding author

Correspondence to Karen Hughes.

Additional information

Competing interests

In the past 5 years, Centre for Public Health received a grant from Drinkaware to undertake an independent study of drinking behaviours among students and MAB has provided them with independent medical advice. Drinkaware is an independent UK-wide charity supported by voluntary contributions from the alcohol and supermaket industries.

Authors' contributions

KH designed the study, participated in data collection, analysed the data and wrote the manuscript. ZQ co-designed the study, managed study implementation, participated in data collection, and edited the manuscript. MB contributed to study design, data analyses and writing of the manuscript. NvH, AC, MK, MJ, MD and LV contributed to study design, study implementation and data collection and edited the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Hughes, K., Quigg, Z., Bellis, M.A. et al. Drinking behaviours and blood alcohol concentration in four European drinking environments: a cross-sectional study. BMC Public Health 11, 918 (2011).

Download citation


  • Drinking Behaviour
  • Blood Alcohol Concentration
  • Drinking Pattern
  • Heavy Episodic Drinking
  • Alcohol Outlet