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NCT07533877 · ClinicalTrials.gov registry record · NA

Testing Ultra-processed Warning Labels in United States

A NA study, sponsored by Johns Hopkins Bloomberg School of Public Health.

Completed
Registry status
NA
Development phase
7,000
Enrollment target

NCT07533877 is a NA study that has completed, run by Johns Hopkins Bloomberg School of Public Health. The registered enrollment target is 7,000 participants.

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The verdict

NCT07533877, a NA study, has completed, sponsored by Johns Hopkins Bloomberg School of Public Health.

COMPLETED
Registry status
NA
Development phase
7,000 participants
Enrollment target

Study Summary

This randomized controlled online experiment will test whether adding an ultra-processed food (UPF) warning label to the FDA's proposed Nutrition Information Box (NIB) changes consumer perceptions of UPFs among a nationally representative sample of U.S. adults. Participants will be randomized to one of four label conditions and will evaluate four UPF yogurt products with different nutritional profiles on the NIB. The primary outcome is purchase intent and the secondary outcomes are perceived healthfulness, perceived usefulness and correct identification of UPF products. This experiment aims to answer the following questions: Do UPF warning labels reduce purchase intentions compared to the NIB alone? Do UPF warning labels reduce perceived healthfulness compared to the NIB alone? Do UPF warning labels help more consumers correctly identify products as ultra-processed compared to the NIB alone? Do different UPF warning label color designs differ in effectiveness at reducing purchase intentions, lowering perceived healthfulness, and improving correct identification of UPFs? Researchers will compare outcomes across the four randomized arms to estimate the independent effect of adding UPF warnings beyond nutrient disclosure in the NIB alone.

Interventions

  • BEHAVIORAL Label exposure in mock-up UPF products

Trial Details

FieldValue
Enrollment Target 7,000 participants
Start Date 2026-04-13
Est. Completion 2026-05-04
Phase NA

What the Registry Record Tells You About NCT07533877

The ClinicalTrials.gov registry entry for NCT07533877 describes a study currently listed as completed, categorized as NA. The registered enrollment target is 7,000 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Johns Hopkins Bloomberg School of Public Health, which has 187 total studies on file at ClinicalTrials.gov.

The record links to 0 conditions, and to 1 intervention - of which Label exposure in mock-up UPF products is the first listed.

NCT07533877 reports 0 study locations.

Frequently Asked Questions

What is clinical trial NCT07533877 about?

NCT07533877 is a clinical study titled "Testing Ultra-processed Warning Labels in United States". This randomized controlled online experiment will test whether adding an ultra-processed food (UPF) warning label to the FDA's proposed Nutrition Information Box (NIB) changes consumer perceptions of UPFs among a nationally representative sample of U.S. adults. Participants will be randomized to on...

What is the current status of trial NCT07533877?

This trial is currently completed. It is a NA study. The enrollment target is 7,000 participants. The study started on 2026-04-13. Estimated completion is 2026-05-04.

What interventions are being tested in trial NCT07533877?

The interventions under investigation include: Label exposure in mock-up UPF products (BEHAVIORAL).

Who is sponsoring clinical trial NCT07533877?

This trial is sponsored by Johns Hopkins Bloomberg School of Public Health, which has 187 total clinical trials registered on ClinicalTrials.gov.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.