- Research article
- Open Access
- Open Peer Review
Does wine glass size influence sales for on-site consumption? A multiple treatment reversal design
© Pechey et al. 2016
- Received: 9 December 2015
- Accepted: 2 May 2016
- Published: 7 June 2016
Wine glass size can influence both perceptions of portion size and the amount poured, but its impact upon purchasing and consumption is unknown. This study aimed to examine the impact of wine glass size on wine sales for on-site consumption, keeping portion size constant.
In one establishment (with separate bar and restaurant areas) in Cambridge, England, wine glass size (Standard; Larger; Smaller) was changed over eight fortnightly periods. The bar and restaurant differ in wine sales by the glass vs. by the bottle (93 % vs. 63 % by the glass respectively).
Daily wine volume purchased was 9.4 % (95 % CI: 1.9, 17.5) higher when sold in larger compared to standard-sized glasses. This effect seemed principally driven by sales in the bar area (bar: 14.4 % [3.3, 26.7]; restaurant: 8.2 % [−2.5, 20.1]). Findings were inconclusive as to whether sales were different with smaller vs. standard-sized glasses.
The size of glasses in which wine is sold, keeping the portion size constant, can affect consumption, with larger glasses increasing consumption. The hypothesised mechanisms for these differential effects need to be tested in a replication study. If replicated, policy implications could include considering glass size amongst alcohol licensing requirements.
ISRCTN registry: ISRCTN12018175. Registered 12th May 2015.
- Glass size
- Choice architecture
Alcohol consumption is ranked 5th amongst the 20 leading risk factors for global burden of disease . In addition to price, availability and marketing [2–4], other cues may also encourage people to drink more than they might otherwise, such as glassware and portion size. A recent Cochrane systematic review provided evidence that larger portion, package and tableware size increase consumption of food and non-alcoholic beverages . Whilst this review did not identify any studies concerning the impact of these cues on alcohol consumption, it seems reasonable to expect that serving wine in larger portions, bottles and glassware will increase its consumption. The mechanisms underlying the “portion size effect” are not fully understood. People generally perceive the amount served to them as representing an appropriate portion size and consume less when offered smaller portions and more when offered larger portions .The portion sizes, therefore, we routinely encounter can shape the social and personal norms for what we consider a suitable amount to consume . The amount of food or the size of a non-alcoholic drink in front of us can also influence the size of bites or sips taken, with larger quantities resulting in larger bites or sips [8, 9]. The way in which food and drink is presented can also influence consumption. For example, the size and shape of a plate or glass can alter perceptions of quantity and influence how much is served [10, 11]. These effects may often operate outside of awareness [12, 13] making smaller default sizes for portions, packages and tableware effective barriers to the overconsumption that larger sizes cue .
The aim of the current study is to generate preliminary evidence of the impact of wine glass size on sales of wine for on-site consumption in one UK bar/restaurant. Wine in the UK can be purchased either by the glass, with a set portion (125 ml (must be available), 175 ml or 250 ml), or by the bottle (standard size: 750 ml). The mechanisms underlying any effect of glass size on consumption may differ according to whether it is bought and consumed by the bottle or by the glass [12, 15, 16]. Glasses provided alongside bottles may affect the actual portion served (by influencing the amount poured) [17–19], and glasses containing pre-served portions may change perceptions of portion size [20, 21] and in turn how much is consumed. However, such effects may be curbed if people drink a certain number of glasses of wine regardless of the perceived size of the glasses [22–24]. This study reports the effects of wine glass size on wine sales, examining the results within separate bar and restaurant areas of one UK establishment –– where sales varied in terms of the extent to which these occurred by the glass or by the bottle.
The study was conducted in an independent eating and drinking establishment in Cambridge, England, from mid-March to early July 2015. The establishment had separate bar and restaurant areas, both selling food and drink, where wine could be purchased by the glass (125 ml or 175 ml), bottle (750 ml) or carafe (500 ml or 1000 ml). All wine purchases were usually served in the establishment’s standard glass, which had a 300 ml capacity. During the study period, sales by the glass accounted for around 78 % of total wine transactions in the establishment. Approximately 90 % of wine sold by the glass was in 175 ml portions, with the remaining 10 % being 125 ml portions. The establishment sold on average 126.6 litres of wine per week (S.D. 14.9 litres) for the equivalent period in 2014 (9.9 % of their total sales); the equivalent figure for the study period was 121.0 litres (S.D. 12.6). The average price of a 175 ml glass of wine in the establishment for the study period was around £5 (€7/$7.50) (UK average £3.46 (€5/$5) ).
The study design involved repeated baseline and intervention phases, with each of eight consecutive periods lasting two weeks:
A: Baseline: standard 300 ml glass used
B: Larger 370 ml glass replaced standard glass
A: Standard 300 ml glass used
C: Smaller 250 ml glass replaced standard glass
B: Larger glass
A: Standard glass
C: Smaller glass
A: Standard glass
The primary outcome was the daily volume of wine (ml) purchased in ‘Larger glass’ and ‘Smaller glass’ intervention periods compared to baseline (all ‘A’ periods).
Three different sized but similarly shaped wine glasses were used in the establishment for each of eight fortnightly periods. The glasses were used both when serving wine by the glass and when providing glasses for purchases of bottles or carafes of wine (i.e. without changing portion sizes). In keeping with their license to sell alcohol, wine served by the glass was measured out by bar staff using CE stainless steel thimbles (Beaumont tm) which, when filled to the brim, contained the volume specified on the thimble (i.e. 125 ml or 175 ml). Glasses not being used in that fortnightly period were removed from the establishment’s shelves, so that only the appropriate glass size was available. There were no changes to the establishment’s wine menu or pricing during the study period.
Sales data were obtained from the establishment’s till records. Daily wine volume (ml) sold was calculated by multiplying each volume available to purchase (e.g., 175 ml glasses, 750 ml bottles) by the number of units sold daily, and summing across all wine purchases.
Regression analyses predicted daily volume of wine (ml) purchased from glass size. Analyses included dummy variables as covariates for day of the week, overall sales in the establishment each day (excluding wine sales), and maximum daily temperature in Cambridge . Equivalent wine sales in the previous year (allowing adjustment for seasonal fluctuations in sales), holiday periods (two dummies indicating school holidays and public holidays) were also explored as covariates, but were non-significant and led to worse model predictions, so were excluded from final analyses. The number of items sold (excluding wine sales) for each day was used as a proxy for the number of customers, to control for sales fluctuations over time. Both wine sales and sales excluding wine were logged in the analyses. Due to heteroscedasticity, both the mean and variance of sales (see Table 2) were included in models (using identity and log links respectively).
Analyses were also conducted separately for the bar and restaurant areas of the establishment, given the differential distribution of wine sales by the glass in the two areas (bar: 93 % by the glass; restaurant: 63 % by the glass).
Mean (s.d) daily volume sold in ml by glass size and location
Regression models assessing the impact of wine glass size on volume of wine solda
Bar & Restaurant
Estimate (95 % CI) [p-value]
Estimate (95 % CI) [p-value]
Estimate (95 % CI) [p-value]
Modelling of the mean (identity link):
4.027 (2.644; 5.411) [<0.001]***
3.869 (2.295; 5.443) [<0.001]***
5.027 (3.402; 6.652) [<0.001]***
Busyness level (log)
0.815 (0.623; 1.008) [<0.001]***
0.774 (0.539; 1.009) [<0.001]***
0.677 (0.422; 0.931) [<0.001]***
−0.044 (−0.143; 0.056) [0.389]
−0.025 (−0.188; 0.139) [0.767]
−0.149 (−0.298; 0.000) [0.052].
−0.113 (−0.199;-0.028) [0.011]*
−0.202 (−0.337;-0.066) [0.005]**
−0.102 (−0.219; 0.015) [0.092].
0.014 (−0.082; 0.110) [0.777]
0.040 (−0.070; 0.150) [0.481]
−0.063 (−0.218; 0.091) [0.423]
−0.002 (−0.114; 0.110) [0.973]
0.003 (−0.147; 0.154) [0.965]
−0.059 (−0.238; 0.120) [0.522]
0.134 (0.024; 0.244) [0.019]*
0.071 (−0.128; 0.271) [0.486]
0.283 (0.167; 0.398) [<0.001]***
0.177 (0.049; 0.304) [0.008]**
0.231 (0.049; 0.414) [0.015]*
0.309 (0.171; 0.448) [<0.001]***
−0.166 (−0.246;-.085) [<0.001]***
−0.119 (−0.234;-0.004) [0.045]*
−0.219 (−0.345;-0.093) [0.001]***
−0.021 (−0.108; 0.066) [0.632]
0.058 (−0.068; 0.184) [0.367]
−0.087 (−0.201; 0.028) [0.143]
0.090 (0.019; 0.161) [0.015]*
0.134 (0.033; 0.236) [0.011]*
0.079 (−0.025; 0.183) [0.140]
−0.009 (−0.017;-0.001) [0.023]*
−0.017 (−0.028;-0.007) [0.002]**
−0.005 (−0.015; 0.005) [0.310]
Modelling of the variance (log link):
−1.560 (−1.753;-.367) [<0.001]***
−1.123 (−1.328;-.919) [<0.001]***
−1.222 (−1.415;-.029) [<0.001]***
−0.053 (−0.408; 0.301) [0.769]
−0.111 (−0.466; 0.243) [0.540]
−0.179 (−0.527; 0.168) [0.315]
−0.638 (−0.996;-0.279) [0.001]***
−0.745 (−1.156;-0.333) [0.001]***
−0.451 (−0.809;-0.093) [0.015]*
−0.358 (−0.705;-0.010) [0.047]*
−0.038 (−0.375; 0.298) [0.823]
0.051 (−0.287; 0.390) [0.767]
−0.071 (−0.395; 0.253) [0.670]
0.160 (−0.178; 0.497) [0.356]
−0.193 (−0.525; 0.139) [0.258]
0.145 (−0.181; 0.471) [0.386]
−0.257 (−0.614; 0.099) [0.160]
0.325 (−0.003; 0.652) [0.055].
0.431 (0.102; 0.760) [0.012]*
0.325 (−0.008; 0.658) [0.059].
0.510 (0.186; 0.834) [0.003]**
0.099 (−0.246; 0.443) [0.576]
0.464 (0.116; 0.811) [0.010]*
−0.172 (−0.516; 0.172) [0.329]
−0.319 (−0.656; 0.018) [0.067].
−0.613 (−0.956;-0.270) [0.001]***
−0.491 (−0.818;-0.164) [0.004]**
0.073 (−0.302; 0.447) [0.705]
−0.039 (−0.415; 0.336) [0.838]
−0.029 (−0.392; 0.334) [0.875]
Consistent with evidence from the recent Cochrane systematic review that tableware size influences consumption of food and non-alcoholic beverages , the larger glass size had an effect on overall wine sales (compared to standard glasses). However, results were inconclusive for the smaller glass size. Separating out the results in the different areas of the establishment, the effect for larger glasses was significant in the bar area, but not in the restaurant area.
Almost all sales in the bar were by the glass. As glasses containing pre-served portions may change perceptions of portion size [20, 21], the results for the larger glasses in the bar area are consistent with larger glasses being perceived to contain less, given the same actual portion . As a result, portions may be drunk faster , which may lead people to drink more. Alternatively, there may be decreased satisfaction with perceived-to-be smaller portions or a perception that the portion did not comprise a full glass, leading to additional purchases. However, these mechanisms might be expected to operate across glass sizes (i.e., we should observe similar patterns when comparing the smaller and standard glasses), which was not evident in this study. This requires further investigation as to which glass comparisons yield similar results. Additional field studies are warranted alongside laboratory studies to test the two hypotheses for the observed effect outlined above. These findings can be considered within the broader literature of the many sensory and behavioural cues that influence the consumption of alcohol, of which size is just one [27, 28]. Future research might ultimately attempt to elucidate the combination of cues that reduced alcohol consumption the most.
The effect size of the larger wine glasses in the restaurant area, where sales by bottles and carafes represented 1/3 of the sales but 2/3 of the volume, while they represented 1/15 of the sales and 1/5 of the volume in the bar, did not reach statistical significance. This may reflect a smaller effect size of wine glass size in this context that the study was insufficiently powered to detect. Replication of the current study is needed in other settings where wine is served primarily using bottles or carafes in studies powered to detect smaller but potentially important effect sizes.
Strengths and limitations
This study is the first, to our knowledge, to explore the impact of glass size on wine sales for on-site consumption in a real-world setting (although it is likely that industry research exists). Examining how wine sales were affected in the bar area, where sales were predominantly by the glass, suggests several possible mechanisms that might underlie the influence of glass size, as described above.
However, several limitations should be noted. First, the multiple treatment reversal design has a higher risk of bias than an experimental design. Second, the predominance of sales by the glass in both the bar and restaurant areas meant that we were unable to robustly examine the effects of sales by the bottle. Third, the study took place in only one establishment in a relatively affluent English city. Finally, our outcome measure was sales for on-site consumption rather than consumption itself, although this still represents an objective measure of behaviour.
Implications for research and policy
Replication of the current intervention is needed. Further field studies could reduce further the risk of bias through experimental designs involving more observations, conducted in settings that include less affluent areas. Further investigations need to establish the contexts in which the strongest effects are likely to occur, including the extent to which these results might extend to in-home alcohol consumption. While further research is needed to establish the reliability of these findings – and in particular, explore the use of different glass sizes – the results offer initial evidence that reducing the use of larger glasses may reduce consumption of alcohol. If further work does suggest glass size might be an effective target for intervention, the next step would be to explore how this might be implemented ; for example, ensuring that all glasses were below a certain size could be one criterion amongst alcohol licensing requirements.
In summary, the size of glasses in which wine is sold, keeping the portion size constant, affected wine sales, but only when comparing larger glasses to standard glasses. The possible mechanisms for these effects need to be assessed in addition to replication of the current study in other establishments.
Ethics, consent and permissions
Ethical approval for the study was obtained from the University of Cambridge’s Psychology Research Ethics Committee (Ref: Pre.2014.127).
Consent for publication
Consent was obtained from the establishment for their participation and for publication of the results.
Availability of data and materials
The data are commercially sensitive, provided by the establishment on condition that they were not shared beyond the authors.
MRM is a member of the UK Centre for Tobacco and Alcohol Studies, a UKCRC Public Health Research: Centre of Excellence. Funding from British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, and the National Institute for Health Research, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged.
The funding bodies had no role in the collection, analysis, and interpretation of data; in the writing of the manuscript; or the decision to submit the manuscript for publication.
This report is independent research commissioned and funded by the Department of Health Policy Research Programme (Policy Research Unit in Behaviour and Health (PR-UN-0409-10109)).The views expressed in this publication are those of the authors and not necessarily those of the Department of Health.
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- Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, AlMazroa MA, Amann M, Anderson HR, Andrews KG, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2224–60.View ArticlePubMedPubMed CentralGoogle Scholar
- Jackson R, Johnson M, Campbell F, Messina J, Guillaume L, Meier PS, Goyder E, Chilcott J, Payne N. Interventions on Control of Alcohol Price, Promotion and Availability for Prevention of Alcohol Use Disorders in Adults and Young People. London: The University of Sheffield, for NICE Centre for Public Health Excellence; 2010.Google Scholar
- NICE. Alcohol-use disorders: Preventing harmful drinking. London, UK: NICE public health guidance; 2010.Google Scholar
- WHO Regional Office for Europe. Evidence for the effectiveness and cost-effectiveness of interventions to reduce alcohol-related harm. Copenhagen: World Health Organisation; 2009.Google Scholar
- Hollands GJ, Shemilt I, Marteau TM, Jebb SA, Lewis HB, Wei Y, Higgins JPT, Ogilvie D. Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco. Cochrane Database of Syst Rev. 2015;9, CD011045.Google Scholar
- Rolls BJ, Roe LS, Meengs JS, Wall DE. Increasing the portion size of a sandwich increases energy intake. J Am Diet Assoc. 2004;104(3):367–72.View ArticlePubMedGoogle Scholar
- Robinson E, Oldham M, Cuckson I, Brunstrom JM, Rogers PJ, Hardman CA. Visual exposure to large and small portion sizes and perceptions of portion size normality: Three experimental studies. Appetite. 2016;98:28–34.View ArticlePubMedPubMed CentralGoogle Scholar
- Almiron-Roig E, Tsiountsioura M, Lewis HB, Wu J, Solis-Trapala I, Jebb SA. Large portion sizes increase bite size and eating rate in overweight women. Physiol Behav. 2015;139:297–302.View ArticlePubMedGoogle Scholar
- Lawless HT, Bender S, Oman C, Pelletier C. Gender, age, vessel size, cup vs. straw sipping, and sequence effects on sip volume. Dysphagia. 2003;18(3):196–202.View ArticlePubMedGoogle Scholar
- Wansink B, van Ittersum K, Painter JE. Ice cream illusions bowls, spoons, and self-served portion sizes. Am J Prev Med. 2006;31(3):240–3.View ArticlePubMedGoogle Scholar
- Wansink B, van Ittersum K. Bottoms Up! The Influence of Elongation on Pouring and Consumption Volume. J Consum Res. 2003;30(3):455–63.View ArticleGoogle Scholar
- Benton D. Portion size: what we know and what we need to know. Crit Rev Food Sci Nutr. 2015;55(7):988–1004.View ArticlePubMedPubMed CentralGoogle Scholar
- Hollands GJ, Marteau TM, Fletcher PC. Non-conscious processes in changing health-related behaviour: a conceptual analysis and framework. Health Psychol Rev. 2016;1–14.Google Scholar
- Marteau TM, Hollands GJ, Shemilt I, Jebb SA. Downsizing: policy options to reduce portion sizes to help tackle obesity. BMJ. 2015;351:h5863.View ArticlePubMedGoogle Scholar
- English L, Lasschuijt M, Keller KL. Mechanisms of the portion size effect. What is known and where do we go from here? Appetite. 2015;88:39–49.View ArticlePubMedGoogle Scholar
- Herman CP, Polivy J, Pliner P, Vartanian LR. Mechanisms underlying the portion-size effect. Physiol Behav. 2015;144:129–36.View ArticleGoogle Scholar
- Kerr WC, Patterson D, Koenen MA, Greenfield TK. Large drinks are no mistake: Glass size, not shape, affects alcoholic beverage drink pours. Drug Alcohol Rev. 2009;28(4):360–5.View ArticlePubMedPubMed CentralGoogle Scholar
- White AM, Kraus CL, McCracken LA, Swartzwelder HS. Do College Students Drink More Than They Think? Use of a Free-Pour Paradigm to Determine How College Students Define Standard Drinks. Alcohol Clin Exp Res. 2003;27(11):1750–6.View ArticlePubMedGoogle Scholar
- Walker D, Smarandescu L, Wansink B. Half Full or Empty: Cues that lead wine drinkers to unintentionally overpour. Subst Use Misuse. 2014;49(3):295–302.View ArticlePubMedGoogle Scholar
- Raghubir P, Krishna A. Vital dimensions in volume perception: can the eye fool the stomach? J Mark Res. 1999;313–326.Google Scholar
- Pechey R, Attwood AS, Couturier D-L, Munafò MR, Scott-Samuel NE, Woods A, Marteau TM. Does Glass Size and Shape Influence Judgements of the Volume of Wine?. PLoS ONE. in press.Google Scholar
- Nisbett RE. Determinants of Food Intake in Obesity. Science. 1968;159(3820):1254–5.View ArticlePubMedGoogle Scholar
- Geier AB, Rozin P, Doros G. Unit Bias: A New Heuristic That Helps Explain the Effect of Portion Size on Food Intake. Psychol Sci. 2006;17(6):521–5.View ArticlePubMedGoogle Scholar
- van Kleef E, Kavvouris C, van Trijp HCM. The unit size effect of indulgent food: How eating smaller sized items signals impulsivity and makes consumers eat less. Psychol Health. 2014;29(9):1081–103.View ArticlePubMedGoogle Scholar
- Consumer Price Indices - RPI average retail prices of selected items [http://www.ons.gov.uk/economy/inflationandpriceindices/timeseries/kef4]. Accessed 24 Aug 2015.
- Cambridge Daily Weather Graphs [https://www.cl.cam.ac.uk/research/dtg/weather/index-daily-graph.html]. Accessed 24 Aug 2015.
- Higgs S, Stafford LD, Attwood AS, Walker SC, Terry P. Cues that signal the alcohol content of a beverage and their effectiveness at altering drinking rates in young social drinkers. Alcohol Alcohol. 2008;43(6):630–5.View ArticlePubMedGoogle Scholar
- Stafford LD, Agobiani E, Fernandes M. Perception of alcohol strength impaired by low and high volume distraction. Food Qual Prefer. 2013;28(2):470–4.View ArticleGoogle Scholar
- Marteau TM, Hollands GJ, Shemilt I, Jebb SA. Downsizing: Policy options to reduce portion sizes to help tackle obesity. BMJ. in press.Google Scholar