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N/A N=6,622 Randomized Prevention

Climate Impact Label Design and Fast-Food Meal Selection

Food Selection

Enrolled (actual)
6,622
Serious AEs
0.0%
Results posted
Jan 2026
Primary outcome: Primary: Modified Nutrient Profile Index Score — 50.6; 51.3; 51.3; 50.8 score on a scale

Study Design & Population

Study type
Interventional
Phase
N/A
Interventions
Control (QR) Labels (Behavioral); Warning High Climate Impact Labels (Behavioral); Traffic Light Labels (Behavioral); Climate Grade Labels (Behavioral); Numeric Carbon Footprint Labels (Behavioral)
Age
Adult, Older Adult · 18+ yrs
Sex
All
Sponsor
Johns Hopkins Bloomberg School of Public Health
Primary completion
Dec 2024

Outcome Measures

OutcomeResultp-value
PRIMARY
Modified Nutrient Profile Index Score
50.6; 51.3; 51.3; 50.8; 51.0
SECONDARY
Total Greenhouse Gas Emissions as Assessed by Cumulative Total Kilograms of Carbon Equivalent (kgCO2e) Per Kilogram
27.5; 23.9; 22.6; 24.6; 24.7
SECONDARY
Perceived Message Effectiveness (PME) as Assessed by the University of North Carolina (UNC) PME Scale
1.8; 2.7; 2.6; 2.5; 2.3
SECONDARY
Total Energy (Calories) Selected
1579.3; 1540.6; 1552.5; 1556.8; 1535.3
SECONDARY
Number of Participants Who Selected Sugar-sweetened Beverage
652; 598; 617; 626; 662

Summary

The primary objective of this study is to test the relative effects of climate-impact menu label designs on the healthfulness of consumers' fast-food meal choices. Participants will complete a hypothetical online meal ordering task using a survey which emulates the online menu of a burger restaurant chain. Participants will be randomized for exposure to menus featuring one of five labeling conditions. Secondary objectives include examining total greenhouse gas emissions per meal order and, through a post-order survey, perception of labels between the conditions.

Eligibility Criteria

Inclusion Criteria

  • 18 years of age or older
  • Member of the CloudResearch panel
  • Residing in the United States

Exclusion Criteria

  • Under 18 years of age
  • Not residing in the United States
  • Completed the survey implausibly quick based on the distribution of the time to complete the survey among all participants
  • Failed the built-in Qualtrics survey fraud detection measures
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT06678178). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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