Exploration of Nutri-Score Labelling Out-of-home on Individuals With Eating Disorders and Other Mental Health Diagnoses.
| Registry | NCT07809295 |
|---|---|
| Status | Not yet recruiting |
| Phase | Not applicable |
| Study type | Interventional; randomized, parallel, masking: double, prevention |
| Enrollment | 900 (Estimated) |
| Sponsor | University of Liverpool (Other); collaborators: King's College London, University of Oxford, Liverpool John Moores University |
| Conditions | Food Labelling, Eating Behaviour, Mental Health, Eating Disorder |
| Interventions | Control condition, Calorie labelling, Nutri-Score labelling (Behavioral) |
| Dates | start 2026-09-01 (estimated), primary completion 2026-09-01 (estimated), completion 2026-09-01 (estimated), first posted 2026-09-09, last updated 2026-09-09 |
| Locations | 1 site in United Kingdom |
Related Papers Related Patents Related Grants Related Experts
All trials for Food Labelling All trials for Eating Behaviour All trials of Control condition All trials of Calorie labelling
Calorie labelling in out-of-home (OOH) settings was introduced by the government in England as part of a wider strategy to 'tackle obesity' (DHSC, 2020). The OOH sector encompasses outlets where food and drinks are prepared for immediate consumption, on or off the premises (DHSC, 2021). Increased consumption of OOH food is associated with greater intake of energy and nutrients of concern; therefore, is implicated in poorer dietary quality and ill-health (Gesteiro et al., 2022). The key ambition for the calorie labelling policy was to inform consumers of the calorie content of their food choices, making it easier to select healthier food choices (DHSC, 2020). An additional potential benefit of the policy was to prompt reformulation by the food industry to either reduce the calorie content of foods on offer or provide new lower calorie options (DHSC, 2021).
The calorie labelling policy in England was criticised at the time of implementation in the media for its potential to cause harm in individuals with eating disorders (Polden et al., 2023). However, limited research had explored effects on individuals with eating disorders (Robinson et al., 2023). It is estimated that over a million individuals in the UK are living with an eating disorder (Beat Eating disorders, 2026). Therefore, it is important for research to understand the impact of food labelling interventions on mental health outcomes in individuals with eating disorders and other mental health conditions, and whether alternative nutritional labelling practices that are not focused on calories alone could have positive health impacts without unintended negative consequences.
One alternative form of nutritional labelling that could be considered in OOH settings is Nutri-score. Nutri-score provides food items with a label from A (dark green, healthiest) to E (Red, least healthy) according to the content of both positive (e.g. fibre, protein) and negative (e.g. saturated fat, salt, sugar) nutrients. Nutri-score has been implemented as a front-of-pack label in several countries across Europe, with positive impacts on the healthiness of food purchasing in supermarkets (Andreani et al., 2025). Two studies have assessed Nutri-score in OOH settings, also finding associations between Nutri-score and healthier food choices (Chandon \& Indaburu, 2026; Julia et al., 2021). However, Nutri-score on food menus has not previously been examined in terms of the potential impact on individuals with eating disorders and other mental health outcomes.
Nutri-score encompasses the nutritional quality of a food product, by accounting for both positive and negative components. This may be less harmful to individuals with eating disorders as it would remove the focus on calorie content. Previous qualitative research has shown that individuals with eating disorders may support labelling strategies that provide more holistic approaches to nutrition (Trompeter et al., 2026). It could also be of benefit to general population health to focus on helping individuals to consume a well-rounded diet higher in positive nutrients (fibre, protein), with high fruit, vegetable and nut content, and lower in negative nutrients that contribute to ill health (salt, sugar, fats). To date, limited research has compared Calorie labelling to Nutri-score in the general population or among those living with mental health conditions, like eating disorders.
OBJECTIVES This new study will explore the impact of Nutri-score labelling vs Calorie labelling vs no labelling (Control) in a simulated OOH food delivery ordering platform (common setting for food purchasing and calorie labelling is required by law in England) on participants' perceived effectiveness of nutritional labelling, healthiness of food choices, positive and negative affect, and perceived impacts on mental health.
We will examine effects in a general population sample (no eating disorder diagnosis), a sample of participants with a past or current diagnosis of an eating disorder by a medical practitioner and a sample of participants with a common mental health condition diagnosed by a medical practitioner without eating disorder (e.g., anxiety), in order to understand potential effects across groups of participants who may differ in their risk of poorer mental health in response to nutritional labelling.
(references in attached protocol)
See attached study protocol for detailed information
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Control group | Other | Behavioral: Control condition; Behavioral: Calorie labelling; Behavioral: Nutri-Score labelling | Participants with no diagnosis of a mental health or eating disorder |
| Mental health diagnosis group | Experimental | Behavioral: Control condition; Behavioral: Calorie labelling; Behavioral: Nutri-Score labelling | Participants with a diagnosis of a mental health condition but no diagnosis of an eating disorder |
| Eating disorder diagnosis group | Experimental | Behavioral: Control condition; Behavioral: Calorie labelling; Behavioral: Nutri-Score labelling | Participants with a diagnosis of an eating disorder |
Sex: All, ages: 18 Years to any, accepts healthy volunteers
Inclusion Criteria: * Residing in the UK * Regularly eat food prepared out of the home (from restaurants, cafes, fast food etc., at least once a month) * Over the age of 18 years * Fluent English speaker * Can complete the study on a laptop or desktop computer (not touch screen) * Inclusion for specific participant groups: 1. Current or previous eating disorder diagnosis by a medical practitioner 2. Current or previous common mental health condition (i.e. anxiety and/or depression) diagnosis by a medical practitioner but no eating disorder diagnosis 3. No diagnosis of eating disorder or mental health condition Exclusion Criteria: * Pregnant/breastfeeding * Have taken part in a previous study using the same version of the online food choice task (exclusion list obtained from prolific)
| Facility | City | Country | Status |
|---|---|---|---|
| University of Liverpool | Liverpool, Merseyside | United Kingdom |