- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06296355
Impacts of Warning Labels on Ultra-Processed Foods
Purpose: The overall purpose of this study is to identify the impacts of an ultra-processed (UPF) health warning label and UPF identify warning label compared to a control label (i.e., a barcode).
Participants: ~4,000 US Latino adults of parental age (18-55 years), approximately 50% of whom will have limited English proficiency, recruited from a Latino-focused panel company.
Procedures: Participants will be randomly assigned to view food products with one of three label types: health warning labels, identity labels, or barcode control labels. Participants will be asked a series of questions about the products and the label they were assigned.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Lindsey Smith Taillie, PhD
- Phone Number: (919) 445-8313
- Email: taillie@unc.edu
Study Contact Backup
- Name: Violet Noe, MPH
- Email: violetn@email.unc.edu
Study Locations
-
-
North Carolina
-
Chapel Hill, North Carolina, United States, 27516
- UNC Carolina Population Center
-
Contact:
- Violet Noe
- Email: violetn@email.unc.edu
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Identifying as Latino or Hispanic
- Ages 18-55 years old
- Currently resides in the United States
Exclusion Criteria:
- Not identifying as Latino or Hispanic
- Less than 18 or greater than 55 years old
- Not residing in the United States
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Health Warning Label
Participants will view four products (a fruit-flavored drink, pretzels, a yogurt, and a breakfast cereal) each with a health warning label displayed on the front of package.
|
Message displayed on warning label is: "WARNING: Consuming ultra-processed food and drinks can cause weight gain, which increases the risk of obesity and type 2 diabetes."
|
Experimental: Identity Warning Label
Participants will view four products (a fruit-flavored drink, pretzels, a yogurt, and a breakfast cereal) each with an identity warning label displayed on the front of package.
|
Message displayed on warning label is: "WARNING: Ultra-processed food".
|
Other: Barcode Label
Participants will view four products (a fruit-flavored drink, pretzels, a yogurt, and a breakfast cereal) each with a barcode control label displayed on the front of package.
|
Barcode is displayed.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Identification of a product as ultra-processed
Time Frame: Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Correct identification of a product as ultra-processed.
Measured with the question, "Do you think this product is ultra-processed?"
Response options are Yes, No, and I'm not sure.
|
Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Perceived product healthfulness of ultra-processed products
Time Frame: Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Measured with the question, "How healthy or unhealthy would it be to eat this product every day?" Likert responses are on a 1 to 5 scale, from "Very unhealthy" (coded as 1) to "Very healthy" (coded as 5), with higher scores representing a higher perceived healthfulness.
|
Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Intentions to purchase ultra-processed products
Time Frame: Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Measured with the question, "How likely would you be to purchase this product in the next week, if it were available?"
Likert responses are on a 1 to 5 scale, from "Not at all likely" (coded as 1) to "Extremely likely" (coded as 5), with higher scores representing a higher intention to purchase ultra-processed products.
|
Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Perceived message effectiveness
Time Frame: Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Measured with the question, "How much does this message discourage you from wanting to eat an ultra-processed product?"
Likert responses are on a 1 to 5 scale, from "Not at all" (coded as 1) to "Very much" (coded as 5), with higher scores representing a higher perceived message effectiveness.
|
Immediately after exposure to intervention, assessed during 1-time online study visit.
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Lindsey Smith Taillie, PhD, University of North Carolina, Chapel Hill
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 24-0300d
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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