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Completed

NCT Number: NCT06651060

Climate Labels for Restaurant Menus Pilot

The aim of this study is to compare responses to 6 different types of labels for restaurant menus: 1) a QR code on all items (control); 2) High Climate Impact label; 3) High Climate Impact Warning label; 4) Climate Grade label; 5) Climate Grade label also displaying full range of possible grades; 6) Estimated Environmental Cost label. Participants will be randomized to 1 of these 6 labeling arms. Each participant will view a menu based on a real-world restaurant with one of the 6 labels shown on applicable menu items, select the menu item they would like, and then respond to survey questions about each label.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University of California, Davis

Davis, California, 95616, United States

About this study

This is an online randomized controlled trial in which researchers will use a survey company to recruit participants to an online survey. In the study, participants will be randomized to 1 of 6 labeling arms: 1) a QR code on all items (control); 2) High Climate Impact label; 3) High Climate Impact Warning label; 4) Climate Grade label; 5) Climate Grade label also displaying full range of possible grades; 6) Estimated Environmental Cost label. Labels will only appear alongside main menu items and will be assigned using thresholds for greenhouse gas emissions set a priori in kilograms of CO2 equivalent per kilogram of food. Each participant will view a menu based on a real-world restaurant with one of the 6 labels shown on applicable menu items, select the menu item they would like, then respond to survey questions about each label.

For dichotomous outcomes, the investigators will directly estimate the probability ratio using Poisson regression with a robust error variance, regressing the outcome on indicators for experimental condition. For continuous outcomes, the investigators will use linear regression models, regressing the outcome on indicators for experimental condition. A critical alpha 0.05 will be used, and statistical tests will be two-tailed. Investigators will compare all experimental label conditions to the control label, then compare each experimental label to each other using pairwise comparisons.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 18 years and older
  • English-speaking
  • U.S. residents
  • Have eaten restaurant food at least once in the last month
  • Participants will reflect the U.S. Census Bureau's American Community Survey estimates for sex, race/ethnicity, educational attainment, and age

Exclusion criteria

  • Non-US resident
  • Younger than 18 years old
  • Failing the attention check question
  • Completing the survey in less than 33% of the median completion time

Treatment and study plan

Menu label

Behavioral

Participants will view a sample of items from a restaurant menu, displayed with labels

Primary outcomes

  1. High climate impact menu item selected - dichotomous variable

    Time frame: Up to approx. 1 minutes

    Measured as a dichotomous variable (yes/no) indicating whether participants' hypothetical meal orders include a high climate impact menu item.

  2. Total greenhouse gas emissions - continuous variable

    Time frame: Up to approx. 1 minute

    Cumulative total kilograms of carbon equivalent (kgCO2e) per kilogram of food for all meal items.

Secondary outcomes

  1. Modified Nutrient Profile Index (NPI) score - continuous variable

    Time frame: Up to approx. 1 minute

    NPI scores are based on the UK Ofcom Nutrient Profiling Model, which is used to score individual foods in the U.K. to determine which ones can be marketed to children. The NPI generates a 0 to100-point score for foods and beverages where scores >=64 are considered healthy. NPI scores are based on points awarded from nutrients to encourage (e.g., percent fruits and vegetables, grams of fiber and protein) and nutrients of concern (e.g., sodium, sugar) per 100 grams. For this study, we will generate a modified NPI score to evaluate the healthfulness of full meals comprised of multiple food items. This measure will be determined by calculating the weighted mean NPI score of all food items selected per meal, with each item's NPI score weighted by its proportionate contribution of mass in grams to the total mass of the meal.

    Reference: Rayner, M., Scarborough, P., Boxer, A., & Stockley, L. (2005). Nutrient profiles: development of final model. London: Food Standards Agency.

  2. Total energy (kcal) selected - continuous variable

    Time frame: Up to approx. 1 minute

    The total number of calories in participants' hypothetical meal orders, calculated as the sum of calories across all menu items selected. Higher values indicate more calories selected.

  3. Total saturated fat (g) selected - continuous variable

    Time frame: Up to approx. 1 minute

    The total grams of saturated fat in participants' hypothetical meal orders, calculated as the sum of grams of saturated fat across all menu items selected. Higher values indicate more saturated fat selected.

  4. Total sodium (mg) selected - continuous variable

    Time frame: Up to approx. 1 minute

    The total milligrams of sodium in participants' hypothetical meal orders, calculated as the sum of milligrams of sodium across all menu items selected. Higher values indicate more sodium selected.

Other outcomes

  1. Noticeability - dichotomous variable

    Time frame: Up to approx. 1 minute

    Measured as a dichotomous variable (yes/no) indicating whether participants noticed and can correctly recall the climate, environmental, or control label with the question: "Did you notice any labels (other than calories) next to or below the menu items?." With response options: "Yes, a climate label" (or "Yes, an environmental label" in the environmental cost condition), "Yes, a heart healthy label," "Yes, a vegan label," "Yes, an organic label," "Yes, a local label," "Yes, a QR code label," "No, I did not see a label," "Not sure."

    There is no formal name for this measure. It was developed for this study.

  2. Support - categorical variable

    Time frame: Up to approx. 1 minute

    Measured with a single item: "Imagine the city you live in is considering a policy that would add the label(s) shown below to relevant menu items in chain restaurants. Would you…?" With an image of the assigned label condition the participant was randomized to and the response options: "Strongly oppose this policy," "Somewhat oppose this policy," "No opinion," "Somewhat support this policy," "Strongly support this policy."

    There is no formal name for this measure. It was developed for this study.

  3. Effectiveness - categorical variable

    Time frame: Up to approx. 1 minute

    A single item adapted from the UNC-PME scale to measure how much the climate labels discouraged wanting to purchase an item that has a high climate impact with the question: "How much does this label discourage you from wanting to purchase an item that has a high climate impact?" With response options: "Not at all," "A little bit," "Somewhat," "Quite a bit," and "A great deal."

    Reference: Baig, S. A., Noar, S. M., Gottfredson, N. C., Boynton, M. H., Ribisl, K. M., & Brewer, N. T. (2019). UNC perceived message effectiveness: validation of a brief scale. Annals of Behavioral Medicine, 53(8), 732-742.

Sponsors and collaborators

Lead sponsor

University of California, Davis

Other

Registry information

Official study title

Comparing the Impact of Climate Labels for Restaurant Menus: a Pilot Study

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Oct 21, 2024
Registry last updated
Mar 21, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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