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Food Menu Labelling Effects on Individuals With Eating Disorders and Other Mental Health Conditions.

2026年9月3日 更新者:University of Liverpool

Exploration of Nutri-Score Labelling Out-of-home on Individuals With Eating Disorders and Other Mental Health Diagnoses.

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)

調査の概要

状態

まだ募集していません

条件

介入・治療

詳細な説明

See attached study protocol for detailed information

研究の種類

介入

入学 (推定)

900

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

研究連絡先のバックアップ

研究場所

    • Merseyside
      • Liverpool、Merseyside、イギリス、L69 7ZA
        • University of Liverpool
        • コンタクト:

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人
  • 高齢者

健康ボランティアの受け入れ

はい

説明

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)

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:防止
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:ダブル

武器と介入

参加者グループ / アーム
介入・治療
他の:Control group
Participants with no diagnosis of a mental health or eating disorder
Participants will be asked to select a meal from a food menu with no nutritional labelling
Participants will be asked to select a meal from a food menu with calorie labelling
Participants will be asked to select a meal from a food menu with calorie labelling
実験的:Mental health diagnosis group
Participants with a diagnosis of a mental health condition but no diagnosis of an eating disorder
Participants will be asked to select a meal from a food menu with no nutritional labelling
Participants will be asked to select a meal from a food menu with calorie labelling
Participants will be asked to select a meal from a food menu with calorie labelling
実験的:Eating disorder diagnosis group
Participants with a diagnosis of an eating disorder
Participants will be asked to select a meal from a food menu with no nutritional labelling
Participants will be asked to select a meal from a food menu with calorie labelling
Participants will be asked to select a meal from a food menu with calorie labelling

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Perceived Message Effectiveness
時間枠:Day 1 of 1: the PME measure will be completed immediately after participants have made their food selection
An adapted version of the University of North Carolina Perceived Message Effectiveness (PME) scale will be used as a measurement of how effective participants believe nutritional labelling is in promoting behaviour change. The scale measures health concern, product attitude, and discouragement of item consumption in response to public health messaging or in this context, the food menu presented during the study. Participants will be shown a screenshot of the menu they ordered. All participants will answer 3 questions using a Likert scale ranging from 1 - 5 anchored by "Strongly disagree" and "Strongly agree". The mean response to the three items will be calculated. PME is used as an early indicator of a health messages potential to change behaviour (e.g., reduce selection of less healthy items). The scale has been used previously to identify the potential impact of food labels and is predictive of long-term behaviour.
Day 1 of 1: the PME measure will be completed immediately after participants have made their food selection
Perceived usefulness of menu in identifying healthier/less healthy food choices
時間枠:Day 1 of 1: Participants will rate the perceived usefulness of the menu immediately after making their food selection.
Participants will be asked 'To what extent was the menu useful in helping you identify healthy vs. less healthy food choices'. Participants will select their answer on a Likert scale ranging from 1 - 5 anchored by "Strongly disagree" and "Strongly agree".
Day 1 of 1: Participants will rate the perceived usefulness of the menu immediately after making their food selection.
Nutritional quality of food ordered
時間枠:Day 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.]
An overall measure of nutritional quality of participants food order will be calculated using mean UK NPM scores of individual items, weighted according to the energy content of the item. Nutritional content used to calculate NPM scores for each menu item was obtained from outlet websites and input into the online NPM calculation tool (2004/05). Weighted scores will be calculated using the weighted.mean function in R.
Day 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.]
Positive/negative affect
時間枠:Day 1 of 1: Participants will complete the PANAS measure immediately after making their food selection
Participants will complete an adapted version of PANAS after completing the food selection task. This is a 20-item measure, whereby participants will be asked to 'indicate the extent you feel this way right now' on a scale of 1 to 5 from 'very slightly or not at all' to 'extremely'. Participants receive a positive affect score and a negative affect score.
Day 1 of 1: Participants will complete the PANAS measure immediately after making their food selection
Perceived impact of labelling on mental health
時間枠:Day 1 of 1: Participants will complete these measures immediately after making their food choices.

Questions were developed based on self-reported mental health-related outcomes in previous research. Participants will be asked to respond to each of the following points on a scale of 1 to 5 from 'very slightly or not at all' to 'extremely'.

The information on the menus made me feel...

  • Anxious about my food choice
  • Guilty about my food choice
  • Reassured about my food choice
  • Ashamed about my food choice
  • Fixated on the nutritional content of my food choice
Day 1 of 1: Participants will complete these measures immediately after making their food choices.
Perceived impact of labelling on mental health
時間枠:Day 1 of 1: Participants will complete this measure immediately after making their food choices

Two additional questions relating to compensation were adapted from an existing scale related to compensatory eating behaviour and alcohol (CEBRACS). Participants will be asked to respond to each of the following points on a scale of 1 to 5 from 'very slightly or not at all' to 'extremely'.

  • Like I should eat less than usual during one or more meals to make up for the amount of food I have selected
  • Like I should skip one or more meals to make up for the amount of food I have selected
Day 1 of 1: Participants will complete this measure immediately after making their food choices

二次結果の測定

結果測定
メジャーの説明
時間枠
Nutri-Score labels of selected food items
時間枠:Day 1 of 1: UK Nutrient Profiling Model scores of food orders will be recorded immediately after the baseline questionnaire.
We will record the Nutri-Score values (A-E) of all items selected by participants in the food choice task. Participants will be coded as having ordered any of the healthiest menu items labelled A or B (Y/N) and/or the least healthy menu items labelled D or E (Y/N).
Day 1 of 1: UK Nutrient Profiling Model scores of food orders will be recorded immediately after the baseline questionnaire.
Energy content of meals
時間枠:Day 1 of 1: energy content of food orders will be recorded immediately after the baseline questionnaire.
We will record the energy and nutrient content of all items selected by participants in the food choice task. The total energy content of the ordered meal will be calculated.
Day 1 of 1: energy content of food orders will be recorded immediately after the baseline questionnaire.

その他の成果指標

結果測定
メジャーの説明
時間枠
Participant education
時間枠:Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task Participants will be asked this question in the follow-up survey as an consistency check after the food selection task

Participants will be asked to report their highest level of education achieved:

  • Less than high school
  • High school completion
  • College or foundation degree
  • Bachelor's degree
  • Master's degree
Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task Participants will be asked this question in the follow-up survey as an consistency check after the food selection task
Notice and impact of labels
時間枠:Day 1 of 1: Participants will be asked these questions immediately after the food selection task
Participants will be asked several questions to assess whether they noticed any nutritional labelling, and if the labelling impacted their food choices. Questions will be amended slightly according to labelling condition.
Day 1 of 1: Participants will be asked these questions immediately after the food selection task
Participant age
時間枠:Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task
Participants will report their age on a dropdown list
Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task
Participant gender
時間枠:Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task

Participants will select their gender from the following options:

  • Man
  • Woman
  • Non-binary
  • Other
  • Prefer not to say
Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task
Participant ethnicity
時間枠:Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task

Participants will select their ethnicity from a dropdown list:

White English/Welsh/Scottish/Northern Irish/British White Irish Any other White background White and Black Caribbean White and Black African Any other mixed/multiple ethnic background please describe Indian Pakistani Bangladeshi Chinese Other Asian African Caribbean Arab Any other ethnic group

Day 1 of 1: Participants will report demographic data in a baseline questionnaire prior to completing the food selection task
Participant height
時間枠:Day 1 of 1: Participants will be asked these questions immediately after the food selection task
Participants will report their height in either cm or ft and inches. This will be converted to metres in order to calculate BMI.
Day 1 of 1: Participants will be asked these questions immediately after the food selection task
Participant weight
時間枠:Day 1 of 1: Participants will be asked these questions immediately after the food selection task
Participants will report their weight in either kg or stones and pounds. All will be converted if necessary to KG to calculate BMI.
Day 1 of 1: Participants will be asked these questions immediately after the food selection task
Frequency of consumption of OOH food
時間枠:Day 1 of 1: Participants will report this in a baseline questionnaire prior to completing the food selection task

Participants will be asked how often over the past year they have eaten food prepared out of the home (from restaurants, cafes, fast food etc.). The following options will be listed.

  • Not in the last year
  • Less than once per month
  • 1-3 times per month
  • 1-2 times per week
  • 3 times per week or more
Day 1 of 1: Participants will report this in a baseline questionnaire prior to completing the food selection task

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

協力者

捜査官

  • 主任研究者:Eric Robinson, PhD、University of Liverpool

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (推定)

2026年9月1日

一次修了 (推定)

2026年9月1日

研究の完了 (推定)

2026年9月1日

試験登録日

最初に提出

2026年8月26日

QC基準を満たした最初の提出物

2026年9月3日

最初の投稿 (実際)

2026年9月9日

学習記録の更新

投稿された最後の更新 (実際)

2026年9月9日

QC基準を満たした最後の更新が送信されました

2026年9月3日

最終確認日

2026年8月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • Nutri-Score and mental health
  • NIHR203316 (その他の助成金/資金番号:NIHR Oxford Health Biomedical Research Centre)

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

はい

IPD プランの説明

Anonymised participant data will be placed in an online data repository for other researchers to use in the future.

IPD 共有時間枠

IPD and supporting information will be available once the study is completed and published, with no end date.

IPD 共有アクセス基準

The IPD and supporting information will be uploaded to an online repository where it will be openly available.

IPD 共有サポート情報タイプ

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。