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

Detailed Description

On the study platform (Qualtrics), participants will be randomly assigned to 1 of 3 arms with equal probability: a UPF health warning label, a UPF identity label, or a barcode control label. Participants will view four products (a fruit-flavored drink, pretzels, a yogurt, and a breakfast cereal) displayed in random order, each with a label displayed on the front of package according to the participants' study arm. Participants will complete a 13-item online survey to assess each product as to a) whether the product is ultra-processed; b) perceptions of healthfulness; c) intentions to purchase the product.

Study Type

Interventional

Enrollment (Estimated)

4000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Lindsey Smith Taillie, PhD
  • Phone Number: (919) 445-8313
  • Email: taillie@unc.edu

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Lindsey Smith Taillie, PhD, University of North Carolina, Chapel Hill

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

May 31, 2024

Primary Completion (Estimated)

June 20, 2024

Study Completion (Estimated)

June 20, 2024

Study Registration Dates

First Submitted

February 28, 2024

First Submitted That Met QC Criteria

February 28, 2024

First Posted (Actual)

March 6, 2024

Study Record Updates

Last Update Posted (Actual)

April 18, 2024

Last Update Submitted That Met QC Criteria

April 16, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

A deidentified dataset and the corresponding survey codebook will be shared beginning 9 months and continuing for 36 months after publication provided the investigator who proposes to use the data has approval from an Institutional Review Board (IRB), Independent Ethics Committee (IEC), or Research Ethics Board (REB), as applicable, and executes a data use/sharing agreement with UNC. The study protocol, statistical analysis plan, and informed consent form will be published alongside as supplementary material.

IPD Sharing Time Frame

beginning 9 and continuing for 36 months following publication of study results.

IPD Sharing Access Criteria

Investigator has approved IRB, IEC, or REB and an executed data use/sharing agreement with UNC.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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