It goes without saying that food lies at the heart of human health. A healthy diet helps prevent malnutrition and non-communicable diseases (NCDs) such as heart disease, cancer and diabetes1. Globally, poor-quality diets are the leading cause of morbidity and mortality2, while NCDs account for 71% of all deaths. Tobacco use, physical inactivity, harmful use of alcohol and unhealthy diets increase the risk of such diseases3.
In terms of the grocery industry, we know customers are also concerned for their health. In a recent dunnhumby survey, 84% of customers expressed an interest for healthy eating and 46% were particularly focused on healthy eating (see previous Covid blog).
In the UK the IGD are working with Sainsbury’s (and other retailers) along with Leeds University with the aim of improving customer diet4. Sainsbury’s have already made 60% of promotions on healthier choices5, while Tesco have committed to increasing sales of healthier food products from 58% to 65% of total sales by 20256. However, any retailer around the world who is willing to stick its neck out for customer health will also need to be aware of its price perception (see blog: healthy diets and unhealthy price perceptions).
In this blog I’ll explore what a nutritionally healthy diet actually is. How is it defined? If retailers and suppliers are to improve the health of their customers, surely there needs to be a clear understanding of a healthy diet is in the first place?
Models for determining a healthy diet
From a UK grocery perspective, the most influential model for determining a healthy diet is the UK Nutrient Profile Model. This was originally developed by the Foods Standards Agency in 2005 to provide Ofcom (the UK broadcast regulator) with rules on advertising to children. This model creates a rather complex nutrient profile score based on the nutrient content of 100g of a food or drink (Department of Health, 2011; see Nutrient Profiling Technical Guidance, 2011 for more information; PHE, 2018).
However, there are around 20 different nutrient profile models catered towards different nationalities around the world7, all of which influence pack nutrient information. The main criticism of these models is that they may fail to capture the nutrient density of foods7; they may lack validity (i.e. proof they benefit the customers)8 and may be too strict9. In terms of the UK’s proposed ban on HFSS promotions, this may imply that less healthy options are incorrectly promoted (or vice versa)9. Furthermore, it’s detailed complexity may go over the heads of many less health-conscious customers who may relate more to food groups than nutrients.
More recently, the UK’s Public Health England (an executive agency to the Department of Health) created the Eatwell Guide 10. The Eatwell Guide provides a customer-friendly representation of how different foods contribute to a healthy diet (see Eatwell Guide visualisation). It moves away from communicating in term of nutrients towards generic food groups. It also provides more easily understood customer aims (e.g. eat five portions of fruit and vegetables a day).
Figure 1 highlights the differences between the current UK diet when compared to the Eatwell recommendations. It suggests that there should be an increase in starchy carbohydrates, fruit & vegetables; together with a decrease in proteins, dairy and High Fat Sugar Salt (HFSS)11.
Figure 1: highlights the difference between UK current diet and the recommended diet11.
Perhaps more interestingly is an more recent Eat Lancet commission from 2019 which created the first global benchmark diet to optimise both human health and food production sustainability12. It was created by 20 experts in fields relating to human health and environmental sustainability. Figure 2 shows a summary of the recommendations:
Figure 2: shows what a planetary health plate should look like 13
The commission states that this diet can cope with a predicted population of nearly 10 billion people by 2050 and still stay within a safe operating space on Earth. However, the commission also state that even a small increase in red meat or dairy foods would make this safe space impossible. This model may be more relatable to those customers with a global and sustainable mindset.
Conclusion
When reading across the various definitions of a healthy diet, the generic advice for customers is simple:
However, for retailers and brands, there are multiple questions that remain unanswered when taking a customer first perspective:
At the moment, a genuinely personalised healthy diet at scale is not a mainstream reality (but see dnaNudge shop for an interesting next step using customer DNA). However, retailers and brands still have a duty of care to customers and need to continue efforts to improve customer heath.
References
1 who.int/news-room/fact-sheets/detail/healthy-diet
2 Hirvonen, K., Bai, Y., Headey, D., & Masters, W. A. (2020). Affordability of the EAT–lancet reference diet: A global analysis. The Lancet Global Health, 8(1), e59–e66.
3 who.int/news-room/fact-sheets/detail/noncommunicable-diseases
4 igd.com/articles/article-viewer/t/how-to-shift-consumers-to-healthy-and-sustainable-diets/i/29626
5 thegrocer.co.uk/tesco/tesco-announces-new-65-healthy-products-target-as-it-steps-up-action-on-obesity/653889.article
6 thegrocer.co.uk/health/tesco-to-go-ahead-with-hfss-multibuy-ban-despite-government-u-turn/667645.article
7 M. Santos, A.I. Rito, F.N. Matias, R. Assunçai, I. Castanheira & I. Loureiro (2021). Nutrient profile models a useful tool to facilitate healthier food choices: a comprehensive review. Trends Food Science and Technology 110: 120-131
8 Labonte, M.-E., ` Poon, T., Gladanac, B., Ahmed, M., Franco-Arellano, B., Rayner, M., et al. (2018). Nutrient profile models with applications in government-led nutrition policies aimed at health promotion and noncommunicable disease prevention: A systematic review. Advances in Nutrition 9(6): 741–788. https://doi.org/10.1093/ advances/nmy045
9 Jenneson, V. & Morris, M.A. (2021) Data considerations for the success of policy to restrict in-store food promotions: a commentary from a food industry nutritionist consultation. Nutrition Bulletin, 46(1), 40–51. doi.org/10.1111/nbu.12486
10 gov.uk/government/publications/the-eatwell-guide/the-eatwell-guide-how-to-use-in-promotional-material
11 Access To Nutrition Initiative (ATNI): UK Retailer Index May 2022. accesstonutrition.org/the-indexes/uk-retailer-index-2022/
12 Willett, W., Rockström, J., Loken, B. et al. (2019). Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems. Lancet, 393 (2019): 447-492
13 eatforum.org/eat-lancet-commission/eat-lancet-commission-summary-report/
Cookie | Description |
---|---|
cli_user_preference | The cookie is set by the GDPR Cookie Consent plugin and is used to store the yes/no selection the consent given for cookie usage. It does not store any personal data. |
cookielawinfo-checkbox-advertisement | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Analytics" category . |
cookielawinfo-checkbox-necessary | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
CookieLawInfoConsent | The cookie is set by the GDPR Cookie Consent plugin and is used to store the summary of the consent given for cookie usage. It does not store any personal data. |
viewed_cookie_policy | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
wsaffinity | Set by the dunnhumby website, that allows all subsequent traffic and requests from an initial client session to be passed to the same server in the pool. Session affinity is also referred to as session persistence, server affinity, server persistence, or server sticky. |
Cookie | Description |
---|---|
wordpress_test_cookie | WordPress cookie to read if cookies can be placed, and lasts for the session. |
wp_lang | This cookie is used to remember the language chosen by the user while browsing. |
Cookie | Description |
---|---|
CONSENT | YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data. |
vuid | Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos to the website. |
_ga | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors. |
_gat_gtag_UA_* | This cookie is installed by Google Analytics to store the website's unique user ID. |
_ga_* | Set by Google Analytics to persist session state. |
_gid | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
_hjSessionUser_{site_id} | This cookie is set by the provider Hotjar to store a unique user ID for session tracking and analytics purposes. |
_hjSession_{site_id} | This cookie is set by the provider Hotjar to store a unique session ID, enabling session recording and behavior analysis. |
_hp2_id_* | This cookie is set by the provider Hotjar to store a unique visitor identifier for tracking user behavior and session information. |
_hp2_props.* | This cookie is set by the provider Hotjar to store user properties and session information for behavior analysis and insights. |
_hp2_ses_props.* | This cookie is set by the provider Hotjar to store session-specific properties and data for tracking user behavior during a session. |
_lfa | This cookie is set by the provider Leadfeeder to identify the IP address of devices visiting the website, in order to retarget multiple users routing from the same IP address. |
Cookie | Description |
---|---|
aam_uuid | Set by LinkedIn, for ID sync for Adobe Audience Manager. |
AEC | Set by Google, ‘AEC’ cookies ensure that requests within a browsing session are made by the user, and not by other sites. These cookies prevent malicious sites from acting on behalf of a user without that user’s knowledge. |
AMCVS_14215E3D5995C57C0A495C55%40AdobeOrg | Set by LinkedIn, indicates the start of a session for Adobe Experience Cloud. |
AMCV_14215E3D5995C57C0A495C55%40AdobeOrg | Set by LinkedIn, Unique Identifier for Adobe Experience Cloud. |
AnalyticsSyncHistory | Set by LinkedIn, used to store information about the time a sync with the lms_analytics cookie took place for users in the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland). |
bcookie | LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognise browser ID. |
bscookie | LinkedIn sets this cookie to store performed actions on the website. |
DV | Set by Google, used for the purpose of targeted advertising, to collect information about how visitors use our site. |
ELOQUA | This cookie is set by Eloqua Marketing Automation Tool. It contains a unique identifier to recognise returning visitors and track their visit data across multiple visits and multiple OpenText Websites. This data is logged in pseudonymised form, unless a visitor provides us with their personal data through creating a profile, such as when signing up for events or for downloading information that is not available to the public. |
gpv_pn | Set by LinkedIn, used to retain and fetch previous page visited in Adobe Analytics. |
lang | Session-based cookie, set by LinkedIn, used to set default locale/language. |
lidc | LinkedIn sets the lidc cookie to facilitate data center selection. |
lidc | Set by LinkedIn, used for routing from Share buttons and ad tags. |
li_gc | Set by LinkedIn to store consent of guests regarding the use of cookies for non-essential purposes. |
li_sugr | Set by LinkedIn, used to make a probabilistic match of a user's identity outside the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland). |
lms_analytics | Set by LinkedIn to identify LinkedIn Members in the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland) for analytics. |
NID | Set by Google, registers a unique ID that identifies a returning user’s device. The ID is used for targeted ads. |
OGP / OGPC | Set by Google, cookie enables the functionality of Google Maps. |
OTZ | Set by Google, used to support Google’s advertising services. This cookie is used by Google Analytics to provide an analysis of website visitors in aggregate. |
s_cc | Set by LinkedIn, used to determine if cookies are enabled for Adobe Analytics. |
s_ips | Set by LinkedIn, tracks percent of page viewed. |
s_plt | Set by LinkedIn, this cookie tracks the time that the previous page took to load. |
s_pltp | Set by LinkedIn, this cookie provides page name value (URL) for use by Adobe Analytics. |
s_ppv | Set by LinkedIn, used by Adobe Analytics to retain and fetch what percentage of a page was viewed. |
s_sq | Set by LinkedIn, used to store information about the previous link that was clicked on by the user by Adobe Analytics. |
s_tp | Set by LinkedIn, this cookie measures a visitor’s scroll activity to see how much of a page they view before moving on to another page. |
s_tslv | Set by LinkedIn, used to retain and fetch time since last visit in Adobe Analytics. |
test_cookie | Set by doubleclick.net (part of Google), the purpose of the cookie is to determine if the users' browser supports cookies. |
U | Set by LinkedIn, Browser Identifier for users outside the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland). |
UserMatchHistory | LinkedIn sets this cookie for LinkedIn Ads ID syncing. |
UserMatchHistory | This cookie is used by LinkedIn Ads to help dunnhumby measure advertising performance. More information can be found in their cookie policy. |
VISITOR_INFO1_LIVE | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
YSC | YSC cookie is set by YouTube and is used to track the views of embedded videos on YouTube pages. |
yt-remote-connected-devices | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt-remote-device-id | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt.innertube::nextId | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |
yt.innertube::requests | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |
_gcl_au | Set by Google Analytics, to take information in advert clicks and store it in a 1st party cookie so that conversions can be attributed outside of the landing page. |