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Nutri-score Labels on the Nutritional Quality of Out-of-home Food Selection

The Impact of Nutri-score Labels on the Nutritional Quality of Out-of-home Food Selection in a Delivery Platform Setting: An Online Randomised Controlled Trial

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07423845
Enrollment
870
Registered
2026-02-20
Start date
2025-12-08
Completion date
2026-03-27
Last updated
2026-05-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity, Overconsumption

Keywords

Nutri-score, Food choice, Delivery app, out-of-home food

Brief summary

Participants will be asked to make hypothetical food choices in an online simulation study of an OOH delivery app. This study will be a three-arm randomised controlled design, with intervention type as the 3-level grouping variable (Nutri-score labelling vs. Nutri-score labelling with educational intervention vs. no labelling).

Interventions

BEHAVIORALLabelling condition - Calorie labelling

Participants will be asked to choose a meal through a virtual delivery app where four outlets are presented. Participants will be provided with a menu with calorie labelling.

BEHAVIORALLabelling condition - Nutri-score labelling

Participants will be asked to choose a meal through a virtual delivery app where four outlets are presented. Participants will be given menus with calorie and Nutri-score labelling.

BEHAVIORALLabelling condition: Nutri-score labelling + educational intervention

Participants will be asked to choose a meal through a virtual delivery app where four outlets are presented. Participants will be given menus with calorie and Nutri-score labelling. Prior to selecting their meal, participants will be asked to read an article about Nutri-score.

Sponsors

University of Liverpool
Lead SponsorOTHER
Aston University
CollaboratorOTHER
University of Bath
CollaboratorOTHER
University of Exeter
CollaboratorOTHER
Liverpool John Moores University
CollaboratorOTHER
King's College London
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
DOUBLE (Subject, Investigator)

Masking description

To attempt to reduce the likelihood of aim guessing, participants will be recruited to a study described as 'consumer behaviour on food delivery platforms'. Participants will be randomly allocated upon beginning the study, so researchers will be unaware of assigned condition.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Aged 18+ * Frequent user of food delivery platforms (at least once a month on average) * Can complete the study on a laptop or desktop

Exclusion criteria

* Current or previous diagnosis of an eating disorder * Currently on appetite supressing medication * No dietary restrictions including dairy free, sugar free, gluten free (vegetarians and vegans are eligible to participate)

Design outcomes

Primary

MeasureTime frameDescription
Healthiness of selected mealDay 1 of 1: Food orders (item names, energy content, UK Nutrient Profiling Model scores) will be recorded immediately after the baseline questionnaire. The recorded information will be used to calculate weighted NPM scores.In line with published research into Nutri-score, the investigators will assess the healthiness of meals using UK Nutrient Profiling Model (NPM) scores(16). These scores are calculated in a similar way to Nutri-score, whereby the total value of positive nutrients is subtracted from the total value of negative nutrients. Lower scores represent healthier items. Scores range from -15 (healthiest) to 40 (least healthy). To account for the likely event of multiple items being selected to form a meal, the investigators will calculate a mean NPM score, weighted by the energy content of individual food items. This will be done using the 'weighted.mean'(37) function in R grouped by participant so the weights are specific to individual orders. The following code will be used for this: weighted\_ppt\<-combine %\>% group\_by(ppt) %\>% summarise(score = weighted.mean(nutriscore, meal\_kcal))
Nutri-score label of selected food itemsDay 1 of 1: Food orders (item names, NS values) will be recorded immediately after the baseline questionnaire when participants select their food orders.Nutri-score values of each menu item were calculated prior to creating the online ordering platform. To calculate overall scores, the total value of positive nutrients is subtracted from the total value of negative nutrients. Lower scores represent healthier items. Thresholds are used to dictate the Nutri-score value assigned to items, with A (healthiest) to E (least healthy) When participants complete the food choice task, the Nutri-score labels (A-E) of each item selected by participants will be recorded by the online platform.

Secondary

MeasureTime frameDescription
Energy content of all food orderedDay 1 of 1: The energy content selected by participants will be recorded immediately after the baseline questionnaire when participants select their food orders.The total energy content (kcal) of food items selected by participants will be recorded by the online study platform. Nutritional information to inform this was taken from the food outlet websites.

Countries

United Kingdom

Contacts

PRINCIPAL_INVESTIGATOREric Robinson

University of Liverpool

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 2, 2026