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. Author manuscript; available in PMC: 2019 Jan 2.
Published in final edited form as: Public Health Nutr. 2018 Oct 12;21(18):3462–3468. doi: 10.1017/S1368980018002501

Voluntary policies on checkout food and healthfulness of foods displayed at, or near, supermarket checkout areas: A cross-sectional survey

Chi Ching Vivian Lam 1, Katrine T Ejlerskov 2, Martin White 2, Jean Adams 2,*
PMCID: PMC6314468  EMSID: EMS79263  PMID: 30311598

Abstract

Objective

To determine if voluntary policies on supermarket checkout food was associated with a difference in the healthfulness of foods displayed at, or near, supermarket checkout areas.

Design

Cross-sectional survey of food at, or near, supermarket checkouts categorised as less healthy or not according to the Food Standards Agency’s Nutrient Profiling Model.

Setting

One city in Eastern England (population around 125,000).

Subjects

All stores in nine supermarket groups open for business in June-July 2017 in the study city. Supermarket checkout food policies were categorised as clear and consistent, vague or inconsistent, or none.

Results

In 33 stores, 11,434, checkout food exposures were recorded, of which 8010 (70.1%) were less healthy; and 2558 foods in areas near checkouts, of which 1769 (69.2%) were less healthy. After adjusting for a marker of store size, the odds of a checkout food exposure being ‘less healthy’ was lower in stores with vague or inconsistent checkout policies (odds ratio 0.63, 95% confidence intervals 0.49 to 0.80); and in stores with clear and consistent checkout policies (OR 0.33, 95%CI 0.24 to 0.45) compared to no policy. There was no difference in the odds of foods near, but not at, checkouts being less healthy according to checkout food policy.

Conclusions

Supermarket checkout food policies were associated with a lower odds of checkout food but not food near, but not at, checkouts being less healthy. Further research is required to explore impacts on purchasing and consumption.

Keywords: supermarket, food retailing, voluntary commitments, food marketing

Background

Exposure to energy dense, nutrient poor food and drinks contributes to the development of obesity.(1) One potential source of such food, which has gained media,(2) campaign group(3; 4) and research(5; 6; 7; 8; 9; 10) attention, is supermarket checkouts.

Globally, supermarket checkout food tends to be less healthy and positioned to attract children.(5; 6; 7; 8; 9) Food at checkouts can lead to impulse purchases and child purchasing requests,(8; 11; 12) which parents can find hard to resist.(4; 13) The balance of healthier to less healthy checkout food influences purchasing, with healthier foods being more likely to be selected when they dominate.(14)

A number of UK supermarkets have policies limiting the display of ‘less healthy’ food at checkouts. A large scoping review on retail micro-environments in 2013 identified that changing the availability of healthy food can alter purchasing;(15) but no studies on checkout food were identified. Since then, a small number of researcher-led studies have reported mixed effects of changing supermarket checkout food.(13; 16; 17; 18; 19) These inconsistent results are likely due to variations in the types of products targeted and level of implementation achieved. The only previous study we are aware of on the impact of supermarket-led checkout food policies found that stores with policies were less likely to display food at checkouts than stores without policies; and that the food that was displayed was more likely to be ‘healthier’.(20) This study also found that supermarkets adhered well to their checkout food policies, especially if they were clear and consistent.

In the UK, supermarket checkout food policies currently take the form of voluntary commitments. There is substantial scepticism about the potential for such commitments to lead to meaningful public health change.(21; 22; 23) This is fuelled in part by evidence that previous voluntary agreements between government and food industry organisations tend to focus on less effective intervention strategies and reflect actions that companies were already doing, or planning to do, at the time agreements were made.(21; 24; 25; 26)

Whilst current UK supermarket checkout food policies are voluntary commitments made by supermarkets, they are not voluntary agreements between food retailers and government.(27) Instead they are retailer-led, self-regulatory, voluntary actions without any government involvement. A number of reasons why industries self-regulate have been described.(28) In the case of supermarket checkout food, the most likely is the threat to public relations associated with less healthy checkout food, following campaigns that have highlighted how difficult shoppers find it to resist child purchasing requests for checkout food.(3; 4; 13)

Removing less healthy food from supermarket checkouts may, therefore, improve the customer experience, as well as public health. But if it also leads to decreased sales this could be at odds with supermarkets’ commercial interests. When commercial and public health interests are in conflict, there is an incentive for self-regulatory policies to be weakly conceived and poorly enforced.(23; 28) One way in which supermarkets might undermine checkout food policies to avoid commercial impacts is to display less healthy checkout-type food in areas near, but not at, checkouts. These areas include aisle ends opposite checkouts – another area associated with impulse purchases, with around 40% of purchases estimated to be made from aisle ends.(29)

The aim of this study was to determine if the presence and nature of voluntary policies on supermarket checkout food was associated with a difference in the healthfulness of foods displayed at, or near, supermarket checkout areas.

Methods

We conducted a cross-sectional survey in June – July 2017 of food at, or near, supermarket checkouts in one city in Eastern England with a population of around 125,000. The city is less deprived and more healthy than England as a whole(30) and was chosen for pragmatic reasons.

Supermarket and store selection

We included all stores open for business in June – July 2017 located within the administrative boundaries of the study city and belonged to one of the nine supermarket groups that together account for more than 90% of the UK grocery market.(31) Thirty two stores were identified via the ‘store locater’ function on supermarket group websites. During data collection, one additional store was identified and included. Two of the nine supermarket groups did not have stores in the study city. As our intention was to study the associations between checkout food policies and foods displayed, rather than ‘name and shame’ particular supermarket groups, we have chosen not to identify specific supermarket groups in the results section of this paper.

Food at, or near, supermarket checkout areas

We defined supermarket checkout areas as any area that customers must pass through to pay for purchases.(10; 20) All food and non-alcoholic drinks (collectively referred to as ‘food’ hereafter) within the researcher’s arm’s reach (˜0.5m) of these areas was considered food at checkout areas. We defined areas near to checkout areas as any area within five paces (˜3.5m) of any part of a checkout area that did not meet the definition of checkout areas. Food within arm’s reach of these areas was considered food near, but not at, checkouts. Alcoholic drinks were excluded as these are excluded by the policy-relevant tool used to determined ‘healthfulness’ of food described below.

We used the concepts of ‘checkout journeys’ to quantify ‘checkout food exposures’.(10; 20) A checkout journey was defined as a route through a checkout area (as defined above). We first determined all possible checkout journeys in each store. We then calculated checkout food exposures as the sum of the number different food lines in each possible checkout journey in each store. In many stores, shared queuing areas leading to multiple payment points make numerous different checkout journeys possible. Any food lines in shared queuing areas were multiple counted to reflect the total number of possible checkout journeys through the shared area. For example, chewing gum displayed in a shared queuing area leading to five payment points was counted five times; whereas chewing gum displayed at a single payment point was counted once.

Foods near, but not at, checkouts were only counted once as the number of possible customer paths past these displays was indeterminable (although likely to be greater than one).

Data collection

Data collection was conducted by one researcher (VL). The researcher visited all study stores and recorded the number of checkouts in each store, and all food lines displayed at, or near, checkout areas. Only the range of food lines was recorded, not the number of units (or ‘facings’) present. This reflects previous approaches,(10; 20) and minimised the intrusiveness of data collection and any disruption to stores. Where the same food line was displayed in a range of package sizes, only the presence of the line was recorded, not the package sizes. Thus, if a particular brand of salt & vinegar potato crisps were displayed in small and large packages, only the presence of that brand and flavour of potato crisps was recorded. Where similar products were present in a number of flavour variants, all variants were recorded. Thus, if both salt & vinegar and cheese & onion flavours of the same brand of potato crisps were displayed, both flavours were recorded.

Data were recorded in-store using a mobile telephone voice recorder. Recordings were downloaded and transcribed within three days of recording. This method has previously been found to have high inter-rater reliability.(10) To confirm this, a second researcher (ETM) repeated data collection independently in one study store selected for convenience. There was 95% agreement between researchers on products recorded.

Healthfulness of food at, or near, supermarket checkout areas

All foods identified during data collection were categorised as ‘less healthy’ or ‘healthier’ using the Food Standards Agency’s Nutrient Profiling Model.(32) This model balances ‘positive’ and ‘negative’ nutrients and food components to arrive at an overall score. Standard cut-offs are used to determine if a food is less healthy. The model is used to determine which foods can be advertised to children on UK television and has reasonable specificity and sensitivity.(33)

To determine Nutrient Profiling Model scores, nutritional information on observed foods was obtained from one of three sources. We gave preference to information published on manufacturer’s websites, followed by UK supermarket websites, followed by an online crowdsourced database of branded foods (https://world.openfoodfacts.org). When no branded data from any of these sources could be found, we used data from an equivalent unbranded product in the Composition of Foods Integrated Dataset.(34)

Presence and nature of supermarket checkout food policies

We used data collected in May – September 2017 to determine the presence and nature of supermarket checkout food policies.(20) We searched the annual reports and webpages of included supermarket groups for information on their checkout food policies and contacted supermarkets’ customer services for further information as needed. When information was not available by these methods, we used information from newspaper articles or other secondary sources.

We categorised checkout food policies into two groups:(20) clear and consistent policies were those that provided clear information on inappropriate and appropriate checkout foods and applied consistently to all checkouts in stores; vague or inconsistent polices provided vaguer product information or did not apply consistently to all checkouts (or both). One supermarket group had different policies for different store formats (i.e. convenience stores vs large hypermarkets). Checkout food policies of included supermarket groups are summarised in Table 1.

Table 1. Checkout food policies in seven UK supermarket groups included in the study (adapted from(20)).

Supermarket group (format)* Checkout food policy category Products that should not be displayed at checkouts Products that can be displayed at checkouts Applicable checkouts Information source Year (month) of implementation
1 Clear & consistent Sweets & chocolate Healthier snacks such as dried fruit, nuts and cereal bars; either 5-a-day, no ‘red’ traffic light ratings, in calorie controlled packs, or deemed by Department of Health a ‘healthier snack’ All checkouts Annual report, supermarket web page 2015 (January)
2 (format a) Vague or inconsistent Confectionery Not stated Checkouts where families expected to shop with a trolley Customer service, June 2017 2004 (unknown)
2 (format b) None NA NA NA Customer service, June 2017 NA
3 Vague or inconsistent Confectionery “Guilt free” checkouts (not defined) 1/3 of checkouts Radio interview and consumer report 2012 (unknown)
4 Clear & consistent Confectionery, chocolate & sweets Healthier options including dried fruit, nuts, juices and water All checkouts Supermarket web page 2015 (January)
5 None NA NA NA Customer service, May 2017 NA
6 Vague or inconsistent Sweets Not stated All checkouts Customer service, Sept 2017 2014 (August)
7 Vague or inconsistent Confectionery, crisps, cakes & biscuits Not stated All checkouts in company owned stores, not franchise stores Customer service, June 2017 2015 (September)
*

In one supermarket group, a different checkout food policy was applied to different store formats (e.g. large hypermarket vs city centre convenience store)

Data analysis

We conducted analysis at the store level (n=33) with the outcome of interest being the proportion of checkout food exposures, or food near, but not at, checkouts which were less healthy. We used log-binomial regression to determine the odds of a checkout food exposure or food near, but not at, a checkout being less healthy in stores with clear and consistent, or vague or inconsistent checkout food policies, compared to those with no checkout food policy. This approach has been recommended for modelling dependent variables which, as here, are proportions.(35) Smaller stores may be more cramped making it harder to impose checkout food policies. As such, we adjusted models for the total number of checkouts in each store (a proxy for store size). Standard errors, and hence 95% confidence intervals, were adjusted for clustering of stores at the supermarket group level. There were no stores with no food at checkouts. In stores where there was no food near, but not at, checkouts (n=3) these stores were excluded from the relevant analyses.

Ethics

In line with current guidance, we did not seek ethical approval for this study which did not include any human, or animal, participants. Store managers were not explicitly asked permission for observations to take place. At no point was the researcher challenged by a member of store staff.

Results

All 33 stores, in seven supermarket groups, identified as meeting the inclusion criteria were included. Food was found at one or more checkouts in all stores, but three stores did not have any food in areas near checkouts.

We identified 11,434 checkout food exposures, of which 8010 (70.1%) were less healthy; and 2558 foods near, but not at, checkouts, of which 1769 (69.2%) were less healthy. Table 2 provides information on the number of stores, checkouts, checkout food exposures, and foods near, but not at, checkouts by supermarket group and format.

Table 2. Proportion of checkout food exposures and foods near checkouts that were less healthy, by checkout food policy category.

Checkout food exposures Food near, but not at, checkouts

Less healthy Healthier Total Less healthy Healthier Total

Supermarket group (format) Checkout food policy category Stores, n Checkouts, n Mean checkouts per store n % n % n n % n % n
2 (format b) None 4 32 8.0 930 77.1 277 22.9 1207 140 75.3 46 24.7 186
5 None 11 71 6.5 1054 68.7 481 31.3 1535 722 72.0 281 28.0 1003
Sub-total None 15 103 6.9 1984 72.4 758 27.6 2742 862 72.5 327 27.5 1189

2 (format a) Vague or inconsistent 2 60 30.0 3323 87.9 456 12.1 3779 87 49.7 88 50.3 175
3 Vague or inconsistent 1 30 30.0 551 64.7 301 35.3 852 0 0 0 0 0
6 Vague or inconsistent 2 42 21.0 364 50.4 358 49.6 722 91 63.6 52 36.4 143
7 Vague or inconsistent 4 40 10.0 668 56.8 508 43.2 1176 327 78.8 88 21.2 415
Sub-total Vague or inconsistent 9 172 19.1 4906 75.1 1623 24.9 6529 505 68.9 228 31.1 733

1 Clear & consistent 8 80 10 960 54.5 803 45.5 1763 399 63.0 234 37.0 633
4 Clear & consistent 1 10 10 160 40.0 240 60.0 400 3 100 0 0 3
Sub-total Clear & consistent 9 90 10 1120 51.8 1043 48.3 2163 402 63.2 234 36.8 636

Total All stores 33 365 11.1 8010 70.1 3424 29.9 11,434 1769 69.2 789 30.8 2558

In stores with no checkout food policy, 72.4% of checkout food exposures were less healthy, 75.1% were less healthy in stores with vague or inconsistent policies, and 51.8% were less healthy in stores with clear and consistent policies (Table 2). After adjusting for the number of checkouts in stores, the odds of a checkout food exposures being less healthy was lower in stores with vague or inconsistent policies compared to no policy (odds ratio (OR) 0.63, 95% confidence intervals (CI) 0.49 to 0.80; Table 3). A larger difference was found between stores with clear and consistent versus no policy (OR 0.33, 95%CI 0.24 to 0.45).

Table 3. Odds ratios of checkout food exposures and foods near, but not at, checkouts being less healthy by checkout food policy category.

Regression coefficient (95% confidence intervals)*
Variable Level Proportion checkout food exposures less healthy Proportion food near, but not at, checkouts less healthy
Checkout food policy category None Reference Reference
Vague or inconsistent 0.63 (0.49 to 0.80) 0.90 (0.20 to 4.03)
Clear & consistent 0.33 (0.24 to 0.45) 1.21 (0.65 to 2.23)
Checkouts per store (n) 1.01 (0.99 to 1.05) 0.97 (0.91 to 1.02)
*

Adjusted for clustering at the supermarket group (format) level

In total, 72.5% of foods near, but not at, checkouts were less healthy in stores with no checkout food policy, 68.9% in those with vague or inconsistent policies, and 63.2% in those with clear & consistent policies (Table 2). After adjustment for the number of checkouts in stores, there was no evidence of a difference in the odds of foods near, but not at, checkouts being less healthy according to checkout food policy type (Table 3).

Discussion

Summary of main findings

We conducted a census of food at, and near, supermarket checkouts in one city in Eastern England. This is the first assessment of food near, but not at, checkouts we are aware of, and the first to explore associations between difference supermarket checkout policies and these foods. After adjusting for a marker of store size, we found that the proportion of checkout food exposures that were ‘less healthy’ was lowest in stores with clear and consistent checkout food policies, intermediate in stores with vague or inconsistent policies and highest in stores with no policy. There was no difference in the proportion of less healthy food near, but not at, checkouts according to checkout food policy.

Strengths and limitations of methods

We conducted a census of all supermarkets in one city eliminating any internal sampling bias. However, the study city is not representative of the UK in terms of deprivation, health status of residents, or the supermarket groups present. This may limit external validity. As it is unlikely that the impact of checkout food policies on food at, or near, checkouts varies between cities, the findings should be generalizable across the seven supermarket groups included. Together these account for around 80% of the UK grocery market.(31)

We made substantial attempts to collect accurate data on supermarkets’ checkout food policies. However, in some cases we were forced to rely on secondary sources. This may introduce error. The data collection method has previously been reported to have high inter-rater reliability(10) and we confirmed this.

There are likely to be seasonal variations in food displayed at, and near, checkouts. There may also be seasonal variations in the impact of supermarket checkout food policies on what foods are displayed. For example, if supermarkets place particular emphasis on particular seasonal promotions, these may override checkout food policies at some times of year.

We used the Food Standards Agency’s Nutrient Profiling Model to classify foods as ‘less healthy’ or ‘healthier’.(32) This is policy-relevant to the UK context. Whilst objective, it does not necessarily reflect the intention of supermarket checkout food policies, or the full spectrum of healthfulness of foods. Nor does it include alcohol.

Our data reflect what foods are displayed, not necessarily what customers buy or consume. No account was taken of the number of ‘facings’ (or units) of different products displayed or how much shelf space each product accounted for. This may also influence purchasing and consumption. Further research is required to explore the impact of checkout food policies on food purchasing and consumption. Whilst we weighted foods displayed at checkouts according to an indicator of customer exposure, there was no comparable way to do the same for foods in areas near checkouts.

Our analyses focus on the proportion of food at, or near, checkouts that was less healthy. This does not take into account that there was no food at some checkouts, and in some stores there was no food near, but not, checkouts. It is possible that the absence of food in these areas represents the ‘healthiest’ condition.

Comparison of findings to previous studies

Across all stores, we found that 70% of checkout food exposures were for less healthy foods. This is comparable to previous findings from supermarkets and non-food stores in the UK which find around 70-80% of checkout food to be less healthy.(5; 10) At least 70% of supermarket checkouts in Australia, Canada, Denmark, New Zealand, Sweden, the UK and the US displayed at least one of confectionery, crisps, chocolate and soft drinks.(6; 8; 9)

In line with previous research,(20) we found evidence of trend in the proportion of checkout food that was less healthy from stores with clear and consistent, through vague or inconsistent, to no policies.

Interpretation and implications of findings

Overall we found a high proportion of food at, and near, supermarket checkouts was ‘less healthy’ and would not be permitted to be advertised to children on UK television. This indicates a substantial public health concern.

However, the proportion of checkout food exposures that were less healthy was substantially lower in stores with checkout food policies than in those with no policy. This indicates that it may be possible to reduce the proportion of less healthy supermarket checkout food exposures, and that alternative foods appear to be available. However, our data is cross-sectional and it is not necessarily the case that it is the checkout food policies that are responsible for the differences seen. For example, supermarkets with healthier checkout foods originally may have been more likely to implement checkout food policies. It has been proposed that there should be government regulation on checkout food, although no details have yet been developed.(3; 36)

In addition to finding a lower proportion of less healthy checkout food checkout food policies, we found no difference in the proportion of less healthy foods near, but not at, checkouts across difference checkout food policy groups. Thus, it appears that stores with policies are not undermining their checkout food policies by placing greater proportions of less healthy foods near checkouts to make up for any reductions in sales associated with removing them from checkouts. In contrast, previous research has found little evidence of public health gain from voluntary agreements between government and the food industry,(21; 27) or food industry self-regulation(22; 28; 37; 38; 39) for public health benefit. One potential reason for this divergence is that checkout food policies are conceived by supermarkets as enhancing customers’ shopping experience, rather than as a public health measure.(13) These policies thus converge, rather than conflict, with supermarkets’ commercial interests and there is no incentive for supermarkets to undermine them.(13; 28) Qualitative work exploring why supermarket groups adopt the checkout food policies they do may offer further insights for maximising the potential of retail self-regulation for public health gain. Further focus on ‘win:win’ policies with commercial as well as public health benefits may be fruitful, although it is not clear how common these are.(23)

As we did not analyse purchasing or consumption data, we cannot draw definitive conclusions on the public health impact of checkout food policies. Stores with fewer less healthy checkout food exposures may make up for this by aggressively marketing checkout-type foods elsewhere in store. Future research is required to explore these issues.

Conclusions

In a survey of all 33 branches of large UK supermarket retailers in one English city, we found that the proportion less healthy checkout foods was lower in stores with checkout food policies. However, there was no difference in the proportion of foods near, but not at, checkouts that were less healthy by checkout food policy. Further research is required to explore impacts on purchasing and consumption. All supermarket checkout food policies in the UK are voluntarily developed and adopted by retailers. Further research is required to determine why the presence of these self-regulatory efforts are associated with greater differences in outcomes than some other self-regulatory efforts to improve public health. Framing self-regulation with potential for public health gain in terms of commercial benefit may be one way of maximising the impacts of this approach.

Acknowledgements

We thank Eleanor Turner-Moss for conducting duplicate data collection in one store to determine inter-rater reliability.

Financial support

JA and MW receive salary support from the Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence. Funding from the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, the National Institute for Health Research, and the Wellcome Trust, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged (MRC grant number MR/K023187/1). The funders had no role in the design, analysis or writing of this article. CCVL was an MPhil student at the University of Cambridge when this work was undertaken.

Footnotes

Conflicts of interest

None

Ethical standards

This research did not involve human subjects.

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