Skip to main content

Holidays, celebrations, and commiserations: measuring drinking during feasting and fasting to improve national and individual estimates of alcohol consumption



Accurate measures of alcohol consumption are critical in assessing health harms caused by alcohol. In many countries, there are large discrepancies between survey-based measures of consumption and those based on alcohol sales. In England, surveys measuring typical alcohol consumption account for only around 60% of alcohol sold. Here, using a national survey, we measure both typical drinking and atypical/special occasion drinking (i.e., feasting and fasting) in order to develop more complete measures of alcohol consumption.


A national random probability telephone survey was implemented (May 2013 to April 2014). Inclusion criteria were resident in England and aged 16 years or over. Respondents (n = 6,085) provided information on typical drinking (amounts per day, drinking frequency) and changes in consumption associated with routine atypical days (e.g., Friday nights) and special dinking periods (e.g., holidays) and events (e.g., weddings). Generalized linear modelling was used to identify additional alcohol consumption associated with atypical/special occasion drinking by age, sex, and typical drinking level.


Accounting for atypical/special occasion drinking added more than 120 million UK units of alcohol/week (~12 million bottles of wine) to population alcohol consumption in England. The greatest impact was seen among 25- to 34-year-olds with the highest typical consumption, where atypical/special occasions added approximately 18 units/week (144 g) for both sexes. Those reporting the lowest typical consumption (≤1 unit/week) showed large relative increases in consumption (209.3%) with most drinking associated with special occasions. In some demographics, adjusting for special occasions resulted in overall reductions in annual consumption (e.g., females, 65 to 74 years in the highest typical drinking category).


Typical drinking alone can be a poor proxy for actual alcohol consumption. Accounting for atypical/special occasion drinking fills 41.6% of the gap between surveyed consumption and national sales in England. These additional units are inevitably linked to increases in lifetime risk of alcohol-related disease and injury, particularly as special occasions often constitute heavy drinking episodes. Better population measures of celebratory, festival, and holiday drinking are required in national surveys in order to adequately measure both alcohol consumption and the health harms associated with special occasion drinking.

Peer Review reports


Alcohol is related to over 200 different health conditions with recent estimates suggesting it was responsible for 5.1% of the global burden of disease and injury (disability adjusted life years) and 3.3 million deaths in 2012 [1]. Internationally, there is a strong positive relationship between average alcohol consumption per capita and reported levels of alcohol-related disease and mortality, both across countries and within countries over time [2,3]. At an individual level, the vast majority of conditions caused entirely by alcohol (e.g., alcohol-related liver disease) or partly attributable to alcohol (e.g., breast cancer) show increases in risk with increasing levels of personal consumption [4]. However, a few show J- or U-shaped relationships with potential, yet contested, health benefits at low levels of consumption [5-7]. Consequently, from a public health perspective, both national trends in average alcohol consumption and how much consumption is at health-harming levels are important considerations when examining the impacts of alcohol on health.

Typically, data on trends and demographic variation in alcohol consumption are provided by large-scale surveys and records of amounts of alcohol products sold for consumption [8]. Thus, in England, demographic information is available from the Health Survey for England (HSE [9]), while taxation information is also used as a proxy for sales [10,11]. However, in England and many other countries with both data sources, national estimates of alcohol consumption based on survey data account for only a fraction of the total sold [1]. Thus, a UK study found that survey data explained only around 60% of alcohol sales, with the difference between survey and sales data equating to around one bottle of wine per week per adult drinker (aged 16 years and over) [8]. Similar differences have been observed in other countries with the proportions of alcohol sales explained by surveys ranging from, for instance, less than a third of state sales in the USA [12], up to 80% of national sales in Australia [13].

A number of hypotheses have been suggested to explain such differences. These include underestimation of the size of generic drinks reported in surveys, poor recollection, and other reporting biases of consumption by survey participants, and an inability to capture some heavier drinkers in the survey samples [14-16]. To a limited extent, modelled and empirical tests of these hypotheses have been able to explain some of the difference between reported consumption and recorded sales [17,18]. However, surveys often record typical drinking by asking, for instance, consumption on a typical drinking day and then applying this to reported drinking frequency, or by measuring drinking during a recent period (e.g., last week) [9,14]. Such measures may fail to capture atypical consumption with individuals excluding from their responses heavy drinking periods (e.g., Christmas) and periods of abstinence (e.g., Dry January) [19,20]. Moreover, even in surveys running throughout the year, individuals may participate less at certain times (e.g., holiday periods) meaning recent consumption in such periods (e.g., in the last week) can be poorly represented.

Drinking patterns are rarely regular or unchanging, rather, they are characterised by peaks and troughs in consumption depending on weekday, season, and special occasions. Survey methods that attempt to directly measure temporal and contextual changes in individuals’ alcohol consumption provide better measures of alcohol consumption which are more consistent with levels of alcohol sales. Thus, the Graduated-Frequency methodology [21,22] asks individuals how often (e.g., over the past 12 months) they have consumed specified numbers of standard alcohol drinks in one day (e.g., ≥12, 11–8, drinks, etc.). Equally, context-specific methodologies first identify the locations in which an individual consumes alcohol (e.g., home, bars, restaurants), then measure levels of alcohol consumption within each context [18]. Other methods attempt to capture a mix of both typical and atypical consumption by measuring drinking on, for instance, the day before survey (Yesterday method, [13,23]). Inevitably, such methodologies are limited by definitional issues (e.g., how well people understand the concept of a standard drink in Graduated-Frequency), questionnaire length (e.g., to capture all drinking contexts), and the smaller number of drinking occasions captured if a Yesterday type methodology is used alone.

Herein, we describe a new method to measure both typical alcohol consumption and changes in levels of consumption associated with holidays, festivals, sports events, weddings, bereavements, and other special events over a 12-month period (Box 1). We utilise this methodology to undertake a large national survey in a country (England) with a drinking culture historically characterised by low levels of routine drinking interspersed with periods of heavier, social consumption [24-26]. We use results from this survey to correct published national estimates of alcohol consumption in lower-, increasing-, and higher-risk drinkers [9]. Finally, we examine how revised estimates may alter risks of alcohol-related morbidity and mortality in different demographic and consumer groups.


Survey tool

Respondents were asked if they had ever consumed alcohol and if they had drank in the last 12 months. For those responding yes to both questions (classed as current drinkers), detailed information about alcohol consumption was collected in three domains: typical drinking, routine atypical drinking, and special occasion drinking.

Typical drinking

Respondents were asked “On average, how often have you drank alcohol in the last 12 months”. Responses were recorded as number of days per week or, for those drinking less than weekly, categories of 2 to 3 days per month, 1 day per month, or less often (for analysis this was set to six occasions/year). Participants were then asked a series of questions to describe how much they would normally drink on a typical day when drinking, with the number of drink types and sizes recorded. Consumption was recorded separately for settings inside (private space) and outside (public space) of the home. Mean quantity of alcohol consumed per week (in grams and UK units, with 1 unit approximated to 8 g of pure alcohol) was calculated using the conversion criteria outlined in Box 2. Individuals were classified by sex to categories of typically weekly consumption based on those used by national statistics (HSE; Lower risk, 3 categories; Increasing risk, 2 categories; and Higher risk, 1 category; See Box 3 for definitions [9]).

Feasting and fasting

Individuals were first asked if there were days in the last 12 months when they drank a bit more, a lot more, or less than usual. Respondents who acknowledged having such days were asked to estimate how much they drank on these days (using the same methods and conversions; Box 2).

To capture routine atypical days (e.g., heavier drinking every Friday) the frequency of such days was reported (either weekly, monthly, or yearly). In each scenario, individuals also identified if the drinking days were in addition to, or instead of, typical drinking days. Combined with typical drinking days these measures provided a total number of drinking days in a year across the four possible consumption levels (typical, a bit more, a lot more, less) for each respondent (Additional file 1: Table S1).

A number of studies have identified the importance of context-specific questions in order to generate more inclusive measures of alcohol consumption [18,27]. Consequently, a second set of questions asked specifically about special drinking periods (periods of multiple days or weeks, e.g., while on holiday; Box 1) and events (e.g., a wedding) in the last 12 months. For special periods, respondents were asked to identify if they changed their frequency of drinking or the quantity consumed. If either changed, respondents identified how long the period of change lasted, their drinking frequency over the period, and the quantity of alcohol consumed when drinking, based on their previously quantified levels but also including an abstinence option (i.e., abstained, a bit less, a bit more, a lot more). The period identified replaced the same length period in individuals’ routine drinking patterns and annual consumption was recalculated (Additional file 1: Table S1). Finally, for special events (Box 1), respondents indicated any such event in the last 12 months that changed their consumption level, how consumption changed (i.e., abstained, a bit less, a bit more, a lot more), and the number of days on which each type of event had occurred. Although a conservative estimate, the number of special event days was substituted for average consumption days. New annual consumption was calculated (in g/year) and converted into a weekly consumption rate (units/week; Additional file 1: Table S1). This final figure is referred to as the adjusted consumption level.

Additional data collected and used in analyses present here included single year of age (categorised into seven age categories for analysis; Table 1), sex, and ethnicity (collected according to Office for National Statistics groupings [28] and then categorised into White, Asian/Chinese, and Black/Other for the purposes of analysis). Other fields included in the survey measured historical drinking patterns and both current and historical health status, although these are not used in the analyses presented here. The survey was piloted on 840 individuals between November 2012 and February 2013 and minor changes were made to the wording of questions and prompts provided by surveyors in order to improve clarity for potential respondents.

Table 1 Demographics, lifetime abstinence, and frequency of current drinking a in the study sample


Inclusion criteria were resident in England and aged 16 years or over. Based on national prevalence of typical consumption categories, a target sample size of 6,000 individuals was set in order to achieve around 300 in the lowest prevalence consumption category (i.e., higher risk consumption, 5% males, 4% females, 2012, HSE [9]). The sample used a random probability method delivered through telephone interview (May 2013 to April 2014), using a whole year in order to ensure any calendar effects of consumption were minimised [20]. English landline numbers were randomly selected (by a commercial provider) from a stratified database to provide equal coverage across all English geographical regions. Stratification was not possible for mobile phone numbers. For participant convenience, mobiles were texted prior to being phoned and respondents could opt out of being called at that stage (opt outs from texts <100). Random Digit Dialling [29] was used to call phone numbers. For both landlines and mobiles, surveys recorded respondents’ postcodes and these were converted into lower super output areas (LSOAs; geographical areas with a population mean of 1,500 [30]). LSOAs were then used to allocate each respondent a measure of deprivation using the 2010 Index of Multiple Deprivation – a composite measure including 38 indicators relating to economic, social, and housing issues available for all LSOAs [31]; for the purposes of analysis, the Index of Multiple Deprivation was then categorised into three tertiles of deprivation (Deprived, Mid, Affluent; Table 1).

Phone numbers were called a maximum of seven times (Monday, Wednesday, Friday, 9.30 am to 5.30 pm; Tuesday, Thursday, 9.30 am to 9.00 pm; Saturday, 10.00 am to 4.00 pm). Calls resulting in contacts with fax machines, business addresses, and dead lines were removed. No answers, call back requests, and answer machines were called until a respondent provided either a yes (n = 6,092) or no (n = 20,092), or the study end date was reached. Of the 6,092 completing the survey, 6,085 individuals provided all data items required. Consequently, the response rate was calculated as 23.3% (n = 6,085/26,184).


Responses were recorded using a computer-assisted telephone interview system with data transferred to SPSS v20 for coding, cleaning, and analysis. χ2 and ANOVA were used to examine differences in abstinence and consumption between demographic categories. Generalized Linear Modelling (GLM) was used to measure independent relationships between demographics and changes in consumption identified through enhanced survey measures (i.e., atypical and special consumption), and the best fit model used to generate correction factors from reported typical to adjusted consumption by age, sex, and typical weekly drinking category. Finally, modelled corrections were applied to the England population using age, sex, and nationally reported consumption categories (population [32]; nationally surveyed typical consumption by age and sex [9]). Ethical approval for the study was obtained from Liverpool John Moores University’s Research Ethics Committee.


Demographics and alcohol drinking behaviours are shown in Table 1. Individuals aged 16 to 24 years were most likely to be lifetime abstainers. Abstinence was also more common in the most deprived individuals and those of Asian/Chinese ethnicity. Being a current (last 12 months) drinker was associated with affluence and being male, white, and under 75 years of age. Further analyses are limited to current drinkers (n = 4,604) and focus on typical consumption (unadjusted units/week), adjusted consumption, and adjustment size (adjusted minus typical consumption).

Amongst drinkers, neither ethnicity nor deprivation were significantly associated with typical weekly consumption, adjusted consumption, or adjustment size (Table 2). Typical weekly and adjusted consumption was higher in males. Males also incurred a larger absolute adjustment (units/week) than females but much smaller adjustment relative to typical consumption (percentage increase, females 29.5%, males 18.3%). Age was also associated with variations in typical weekly consumption, adjusted consumption, and adjustment size with absolute (units) and relative adjustments (percentage change) being highest in those aged 16 to 24 years. After adjustment, those aged 45 to 54 years and 16 to 34 years showed the highest weekly consumption (Table 2). Highest absolute adjustments were not in the highest drinking category but in the second highest group with atypical and special occasions adding 4.2 units (33.8 g) of alcohol consumption per week. However, the largest relative increase was in the lowest drinking category where adjustment nearly tripled estimated weekly consumption (from 0.4 to 1.1 units/week; Table 2). Adjustment resulted in the proportion of respondents in the highest drinking category increasing from 3.6% (Table 2) to 5.3%.

Table 2 Mean alcohol consumed through typical, atypical/special, and all drinking occasions by demographics and typical consumption

To account for confounding between demographics, GLM was employed to model independent levels of adjustment associated with each independent variable. Dependent variables were limited to those showing a significant association with levels of adjustment (Table 2) and all significant main and two-way interactions were included in the model (Table 3). In GLM, age, typical consumption category, and sex were all significantly associated with adjustment level as well as the interactive term between age and consumption category (Table 3). The best-fit model was used to generate adjustment values (units/week) by age, sex, and drinking category (Additional file 2: Table S2). The largest adjustments (additional units/week) were in those aged 25 to 34 years in the heaviest typical drinking category, where adjustment added around 18 additional units/week (144 g/week) to reported typical drinking for both males and females. Those aged 16 to 24 years in the third highest drinking category and those aged 35 to 44 years in the second highest also showed substantial positive adjustments (Additional file 2: Table S2). Not all adjustments were positive with, for instance, consumption falling by 4.6 units/week in females aged 65 to 74 years in the highest drinking category once atypical/special consumption had been taken into account. Most negative adjustments were seen in the heaviest drinkers aged 55 years or over (Additional file 2: Table S2).

Table 3 Generalized Linear Model of additional units consumed per week through atypical and special occasion drinking

HSE provides national estimates of non-drinkers and proportions in each typical consumption category by sex and the same age categories used here [9]. These were combined with national population statistics for England to generate total populations by age, sex, and typical consumption category (Additional file 3: Table S3). Table 4 presents adjusted weekly alcohol consumption by age and typical consumption category stratified by sex (adjustment data from Additional file 2: Table S2 weighted by population data from Additional file 3: Table S3). Post-adjustment, males aged 25 to 34 years show the highest weekly consumption. However, males in the lowest alcohol consumption category see the largest relative consumption increase; from 0.4 to 1.8 units/week (Table 4). Amongst women, the age group showing the largest relative increase in consumption was those aged 16 to 24 years, where atypical and special occasion drinking increased consumption by over 50% (from 10.2 to 15.5 units/week). Furthermore, in all but the lowest risk drinking category, relative increases in units per week were higher in women than men (Table 4).

Table 4 Modelled, population-weighted alcohol consumed through typical, atypical/special, and all drinking occasions

The total units of alcohol cleared for sale in England (calculated from total UK sales and proportions of each alcohol type sold in England; 2013 [10]) are equivalent to 783.8 million units per week (excludes 3.6 million units consumed by 11- to 15-year-olds; Table 5). The 2012 HSE [9] accounts for 63.2% of these sales through weighted reported consumption (based on typical drinking) and our measure of typical drinking (uncorrected) accounts for approximately the same (62.7%). Using adjusted measures, however, total units consumed in those ≥16 years was 615.44 million units/week; a mean consumption of 17.1 units/drinker/week (or 136.5 g/week, Table 5). This is equivalent to 78.5% of the 783.8 million units cleared (taxed) for sale in 2013.

Table 5 Weekly alcohol consumption in drinkersa16 years – health survey for England, special occasion survey and sales


Festive drinking, often as a counterpoint to the norms of daily sobriety, has a long history in many societies [33]. Recent marketing techniques have capitalised on established drinking occasions (e.g., New Year) and actively encouraged greater associations between alcohol consumption and major sporting events, established holidays (e.g., Halloween), and practically any personal occasion for celebration [34]. With so many heavily promoted special drinking occasions, measuring individuals’ typical drinking is increasingly likely to omit major elements of their consumption patterns. For England, we have shown that including survey questions on atypical and special occasion consumption increases estimates of average weekly drinking by nearly a quarter (13.6 to 17.1 units/person/week; Table 5). The increase is, however, not equally distributed, with the impact of adjustment generally decreasing with age in both males and females and, for instance, increasing units/week in 16- to 24-year-old females by more than 50% (Table 4). Younger drinkers often have expendable income and opportunity to incorporate weekly binges and increased alcohol consumption with celebrations of frequent special occasions [35]. Thus, for the highest risk drinkers aged 25 to 34, accounting for atypical and special occasion drinking was estimated to increase typical weekly consumption by around 18 units (Additional file 2: Table S2). Overall, by broad categories of typical consumption, increasing risk drinkers (of both sexes) showed the greatest number of additional units; adding more than the equivalent of half a bottle of wine per week to typical consumption. However, even for women in the third lowest drinking category (whose typical drinking averages around the equivalent of a bottle of wine/week; 9.9 units), accounting for atypical and special occasion drinking can add an average of 3.6 units/week (Table 4).

The additional units associated with atypical and special occasion drinking can be disproportionately damaging to health. Thus, atypical and special occasion drinking is often associated with bingeing and, therefore, with increased risks of unintentional injury and violence as well as overdose and alcohol poisoning [36]. Further, while the benefits of alcohol consumption on reducing risk of ischaemic heart disease remain contested, even potential cardio-protective benefits are absent when individuals binge once a month or more (>60 g of pure alcohol in one session [37]). Consequently, the impact of over 120 million units of alcohol per week being consumed through atypical and special occasion drinking can both harm health directly and adversely impact on potential cardio-vascular benefits. However, relationships between levels of alcohol consumption and associated harms may also need re-examining where studies have not accounted for atypical and special occasion drinking.

Even with special occasion drinking taken into account, 4.6 units/drinker/week (around half bottle of wine, 12% alcohol by volume; two pints of beer, 4% alcohol by volume) remain unaccounted for in sales data. Other hypotheses may account for this inconsistency [38], such as the fact that illegal immigration may account for over half a million individuals [39]; although their consumption patterns are unknown. Additionally, individuals institutionalised in health, social, and judicial establishments or homeless are often omitted from alcohol surveys and would not have been captured here. However, while they may be heavier consumers of alcohol, they typically account for a small proportion of the population [40]. Tourists may consume substantial amounts of alcohol – although such consumption is, in part, counterbalanced by English individuals drinking abroad [8,41]. Some alcohol may also be thrown away but this is unlikely to account for over 168 million units/week, even without factoring in units missing from UK sales data (e.g., illegal alcohol imports and home brew) [17]. What remains likely is that individuals continue to underestimate how much they consume, especially through home poured spirits and wine [42], and may also fail to report some drinking occasions either accurately or at all.


Although randomised, the survey did not attempt to generate a representative sample of alcohol consumers and abstainers on a national basis, but instead used national population estimates and stratified drinking survey data to weight responses to the English population. With this survey acting as a proof of concept, a larger nationally representative survey is now required to test the independent utility of this methodology as a national monitoring tool. For special drinking events (Box 1) we were also unable to distinguish if they were instead of or as well as other drinking days. Here, we opted for a conservative measure by removing an average drinking day’s consumption for each special event day reported. How often such occasions should be considered additional consumption requires further study. Participation rates were 23.3% of those contacted and informed about the study and our sample over-represented females, older individuals, and those of white ethnicity (Table 1). The final data were weighted to match national population age and gender demographics (Additional file 3: Table S3). While we did not weight for ethnicity, this demographic was not significantly related to changes in consumption associated with atypical and special occasion drinking. However, even within demographic categories we could not measure whether, for instance, heavier drinkers were less likely to be home or agree to participate in the survey when surveyors called. Our study, like others, was also limited by self-reported drinking and required people recalling drinking over a 12-month period. Although we adapted typical methodologies to more accurately measure self-poured glasses of wine (Box 2), individuals may still have underestimated the size of home poured drinks.


For centuries, drinking cultures in many nations (including England) have been typified by lower levels of routine alcohol consumption interspersed with heavier social consumption [24,33]. This prevailing culture of heavy drinking on festivals, holidays, and other special occasions, now combined with alcohol promotion that exploits such associations [43], means special occasion drinking is a critical component of alcohol epidemiology. Measuring atypical and special drinking occasions accounts for 41.6% of the gap between national surveyed alcohol consumption and national alcohol sales in England (Table 5). In part, the impact of atypical and special occasion drinking is reflected in evening presentations to emergency units which peak on weekends but also sports events, bank holidays, and even commemorative occasions such as Halloween [44]. Such presentations are more frequent in younger individuals whose alcohol consumption is impacted by frequent parties, weekend binges, and other heavily promoted drinking opportunities (e.g., national football events [44,45]). As well as young drinkers, those drinking above national health guidelines also add considerably to weekly alcohol consumption through atypical and special occasions. An additional 5 units of alcohol per week for males whose typical weekly consumption is 27.6 units (Table 4) may substantially increase lifetime risk of death from alcohol-related disease and injury especially when additional units form parts of binges [46].

Disproportionate underestimation of alcohol consumption by infrequent drinkers has been identified elsewhere [23]. Consistent with such findings, we found that, for very low alcohol consumers, the majority of alcohol is consumed on atypical and special occasions (Table 4). After accounting for such occasions their average consumption typically remained in lower risk drinking categories. However, recent studies have reported infrequent drinkers as having a high probability of presenting at emergency units after those atypical occasions on which they do consume alcohol [47]. Thus, for many individuals, typical drinking alone can be a poor proxy for actual consumption, a poor measure of alcohol-related risks to immediate and long-term health, and consequently of questionable benefit when monitoring consumption trends. Better population measures of celebratory, festival, and holiday drinking are required to measure the full extent of harms caused by alcohol and to ensure that such harms are not discounted or even dismissed by the public.



Generalized Linear Modelling


Health Survey for England


Lower super output areas


  1. World Health Organization. Global status report on alcohol and health 2014. Geneva: World Health Organization; 2014.

    Google Scholar 

  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;373:2223–33.

    Article  PubMed  Google Scholar 

  3. Rehm J, Shield KD. Global alcohol-attributable deaths from cancer, liver cirrhosis, and injury in 2010. Alcohol Res. 2014;35:174–83.

    PubMed Central  Google Scholar 

  4. Corrao G, Bagnardi V, Zambon A, La Vecchia C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Prev Med. 2004;38:613–9.

    Article  PubMed  Google Scholar 

  5. Baliunas DO, Taylor BJ, Irving H, Roerecke M, Patra J, Mohapatra S, et al. Alcohol as a risk factor for type 2 diabetes: a systematic review and meta-analysis. Diabetes Care. 2009;32:2123–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Patra J, Taylor B, Irving H, Roerecke M, Baliunas D, Mohapatra S, et al. Alcohol consumption and the risk of morbidity and mortality for different stroke types - a systematic review and meta-analysis. BMC Public Health. 2010;10:258.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Roerecke M, Rehm J. The cardioprotective association of average alcohol consumption and ischaemic heart disease: a systematic review and meta-analysis. Addiction. 2012;107:1246–60.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Bellis MA, Hughes K, Cook PA, Morleo M. Off measure: how we underestimate the amount we drink. Liverpool: Centre for Public Health, Liverpool John Moores University; 2009.

    Google Scholar 

  9. Health & Social Care Information Centre. Health Survey for England 2012: health, social care and lifestyles. Leeds: Health and Social Care Information Centre; 2013.

  10. Tettenborn M. British Beer and Pub Association statistical handbook 2014. London: Brewing Publications Limited; 2014.

    Google Scholar 

  11. HM Revenue & Customs. Alcohol factsheet 2012–13. London: HM Revenue & Customs; 2013.

  12. Nelson DE, Naimi TS, Brewer RD, Roeber J. US state alcohol sales compared to survey data, 1993–2006. Addiction. 2010;105:1589–96.

    Article  PubMed  Google Scholar 

  13. Stockwell T, Zhao J, Chikritzhs T, Greenfield T. What did you drink yesterday? Public health relevance of a recent recall method used in the 2004 Australian National Drug Strategy Household Survey. Addiction. 2008;103:919–28.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Gmel G, Rehm J. Measuring alcohol consumption. Contemporary Drug Problems. 2004;31:467–540.

    Google Scholar 

  15. Livingston M, Callinan S. Underreporting in alcohol surveys: whose drinking is underestimated? J Stud Alcohol Drugs. 2015;76:158–67.

    Article  PubMed  Google Scholar 

  16. Boniface S, Kneale J, Shelton N. Actual and perceived units of alcohol in a self-defined “usual glass” of alcohol drinks in England. Alcohol Clin Exp Res. 2013;37:973–83.

    Article  Google Scholar 

  17. Meier PS, Meng Y, Holmes J, Baumberg B, Purshouse R, Hill-McManus D, et al. Adjusting for unrecorded consumption in survey and per capita sales data: quantification of impact on gender- and age-specific alcohol-attributable fractions for oral and pharyngeal cancers in Great Britain. Alcohol Alcohol. 2013;48:241–9.

    Article  PubMed  Google Scholar 

  18. Casswell S, Huckle T, Pledger M. Survey data need not underestimate alcohol consumption. Alcohol Clin Exp Res. 2002;26:1561–7.

    Article  PubMed  Google Scholar 

  19. Kushnir V, Cunningham JA. Event-specific drinking in the general population. J Stud Alcohol Drugs. 2014;75:968–72.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Lemmens PH, Knibbe RA. Seasonal variation in survey and sales estimates of alcohol consumption. J Stud Alcohol. 1993;54:157–63.

    Article  CAS  PubMed  Google Scholar 

  21. Greenfield TK, Kerr WC, Bond J, Ye Y, Stockwell T. Graduated frequencies alcohol measures for monitoring consumption patterns: results from an Australian national survey and a US diary validity study. Contemporary Drug Problems. 2009;36:75056015.

    Article  PubMed  PubMed Central  Google Scholar 

  22. World Health Organization Department of Mental Health and Substance Dependence. International guide for monitoring alcohol consumption and related harm. Geneva: World Health Organization; 2000.

    Google Scholar 

  23. Stockwell T, Zhao J, Macdonald S. Who under-reports their alcohol consumption in telephone surveys and by how much? An application of the ‘yesterday method’ in a national Canadian substance use survey. Addiction. 2014;109:1657–66.

    Article  PubMed  Google Scholar 

  24. Nicholls J. The politics of alcohol: a history of the drink question. Manchester: Manchester University Press; 2009.

    Book  Google Scholar 

  25. Room R. Responses in alcohol-related problems in international perspective: characterizing and explaining cultural wetness and dryness. In: La ricerca Italiana sulle bevande alcoliche nel confronto internazionale. Italy: Santo Stefano Belbo (CN); 1989.

  26. Plant M, Plant M. Binge Britain: alcohol and the national response. Oxford: Oxford University Press; 2006.

    Book  Google Scholar 

  27. Single E, Wortley S. A comparison of alternative measures of alcohol consumption in the Canadian National Survey of alcohol and drug use. Addiction. 1994;89:395–9.

    Article  CAS  PubMed  Google Scholar 

  28. Office for National Statistics. Population estimates by ethnic group 2002–2009. Newport: Office for National Statistics; 2011.

    Google Scholar 

  29. Callegaro M, Ayhan O, Gabler S, Haeder S, Villar A. Combining landline and mobile phone samples: a dual frame approach. Mannheim: Leibniz-Institut für Sozialwissenschaften; 2011.

    Google Scholar 

  30. Bates A. Methodology used for producing ONS’s small area population estimates. Popul Trends. 2006;125:30–6.

    PubMed  Google Scholar 

  31. Department for Communities and Local Government. English indices of deprivation 2010. London: Department for Communities and Local Government; 2011.

    Google Scholar 

  32. Office for National Statistics. Population estimates for UK, England and Wales, Scotland and Northern Ireland, Mid 2012. 2013.

  33. McGovern P. Uncorking the past: the quest for wine, beer and other alcoholic beverages. London: University of California Press; 2011.

    Google Scholar 

  34. Nicholls J. Everyday, everywhere: alcohol marketing and social media – current trends. Alcohol Alcohol. 2012;47:486–93.

    Article  PubMed  Google Scholar 

  35. Seaman P, Ikegwuonu T. Drinking to belong: understanding young adults’ alcohol use within social networks. York: Joseph Rowntree Foundation; 2010.

    Google Scholar 

  36. Taylor B, Irving H, 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;110:108–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Roerecke M, Rehm J. Irregular heavy drinking occasions and risk of ischemic heart disease: a systematic review and meta-analysis. Am J Epidemiol. 2010;171:633–44.

    Article  PubMed  Google Scholar 

  38. Boniface S, Shelton N. How is alcohol consumption affected if we account for under-reporting? A hypothetical scenario. Eur J Pub Health. 2013;23:1076–81.

    Article  Google Scholar 

  39. Gordon I, Scanlon K, Travers T, Whitehead C. Economic impact on the London and UK economy of an earned regularisation of irregular migrants to the UK. London: Greater London Authority; 2009.

    Google Scholar 

  40. Shield KD, Rehm J. Difficulties with telephone-based surveys on alcohol in high-income countries: the Canadian example. Int J Methods Psychiatr Res. 2012;21:17–28.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Hughes K, Bellis MA, Calafat A, Blay N, Kokkevi A, Boyiadji G, et al. Substance use, violence, and unintentional injury in young holidaymakers visiting Mediterranean destinations. J Travel Med. 2011;18:80–9.

    Article  PubMed  Google Scholar 

  42. Kerr WC, Greenfield TK, Tujague J, Brown SE. A drink is a drink? Variation in the amount of alcohol contained in beer, wine and spirits drinks in a US methodological sample. Alcohol Clin Exp Res. 2005;29:2015–21.

    Article  PubMed  Google Scholar 

  43. Hastings G, Brooks O, Stead M, Angus K, Anker T, Farrell T. Failure of self-regulation of UK alcohol advertising. BMJ. 2010;340:b5650.

    Article  PubMed  Google Scholar 

  44. Bellis MA, Jarman I, Hughes K, Wyke S, Quigg Z, Luke C. Nighttime assaults: using a national emergency department monitoring system to predict occurrence, target prevention and plan services. BMC Public Health. 2012;12:746.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Quigg Z, Hughes K, Bellis MA. Effects of the 2010 World Cup football tournament on emergency department assault attendances in England. Eur J Pub Health. 2013;23:383–5.

    Article  Google Scholar 

  46. 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;17:141–51.

    Article  PubMed  Google Scholar 

  47. Ye Y, Bond J, Cherpitel C, Stockwell T, Macdonald S, Rehm J. Risk of injury due to alcohol – evaluating potential bias using the case-crossover usual-frequency method. Epidemiology. 2013;24:240–3.

    Article  PubMed  Google Scholar 

  48. Fuller E, Henderson H, Nass L, Payne C, Phelps A, Ryley A. Smoking, drinking and drug use among young people in England in 2012. Leeds: Health and Social Care Information Centre; 2013.

    Google Scholar 

Download references


We are grateful to Alcohol Research UK who supported the survey through the award of a flagship grant. We thank Professor Sir Ian Gilmore and Dr Nick Sheron for their advice throughout the study. We would also like to thank all those individuals who voluntarily participated in this research study. The survey would not have been possible without the time and dedication of the telephone interview team. We also thank Anna Hunt for her comments on the final manuscript.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Mark A Bellis.

Additional information

Competing interests

The authors declare that they have no competing interests.

Informed consent

Before participating individuals were informed about the nature of the survey and asked for their consent to participate.

Authors’ contributions

The study was designed by MAB, LJ, and MM. JW, LJ, and EM managed data collection. Data analysis was undertaken by MAB, KH, and LJ. All authors contributed to reviewing relevant literature and writing, editing, and final approval of the manuscript.

Additional files

Additional file 1: Table S1.

Worked example of corrections to unadjusted typical consumption to include atypical/special occasions.

Additional file 2: Table S2.

Generalised Linear Model estimates for additional units of alcohol associated with atypical/special occasion drinking [9].

Additional file 3: Table S3.

England population stratified by age, sex, and typical weekly consumption category [9,32].

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 credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bellis, M.A., Hughes, K., Jones, L. et al. Holidays, celebrations, and commiserations: measuring drinking during feasting and fasting to improve national and individual estimates of alcohol consumption. BMC Med 13, 113 (2015).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: