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Ultra-processed LabelsUPF-LABELS-NIBNCT07863570

Testing Ultra-processed Warning Labels and Not-Ultra-processed Labels in United States

A study testing NIB: Label exposure in mock-up UPF and Not-UPF products, NIB+UPFWL: Label exposure in mock-up UPF and Not-UPF products and NIB+Not-UPF Black: Label exposure in mock-up UPF and Not-UPF products in people with Ultra-processed Labels, run by Johns Hopkins Bloomberg School of Public Health at 1 site in United States.

Not yet recruiting

Opening soon. The study is approved but enrolment has not started yet. Sites may already take enquiries.

Sites and contacts
Official record
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Trial summary

This randomized controlled online experiment will test whether adding an ultra-processed food (UPF) warning label or a positive not-ultra-processed (Not-UPF) label, to the FDA's proposed Nutrition Information Box (NIB) changes consumer perceptions of UPFs among U.S. adults. Read more about this study

Who is it for?
Ages 18 years and olderHealthy volunteers can take part
Conditions the study is for
Ultra-processed Labels
What is being tested?
NIB: Label exposure in mock-up UPF and Not-UPF products, NIB+UPFWL: Label exposure in mock-up UPF and Not-UPF products and NIB+Not-UPF Black: Label exposure in mock-up UPF and Not-UPF products
Could I receive a placebo?
No, everyone receives an active treatment
How many people
12,400 participants
Where
1 siteUnited States
Study dates
Oct 2026to 11 Nov 2026
Phase
Interventional
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Who may be able to join

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

Who cannot join

  • <18 years of age
  • Not residing in the United States

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Daphne A Barquera Guevara, MD contact

4439656550

dbarque1@jh.edu

Julia A Wolfson, PhD MPP contact

213-359-2915

jwolfso7@jhu.edu

United States1 site
  • Johns Hopkins Bloomberg School of Public Health

    Baltimore, Maryland, 21205

    Daphne A Barquera Guevara, MD, 443-965-6550, dbarque1@jh.edu

Other trials in United States

About this study

Official title: Testing Adding Ultra-processed Warning Labels and Not-Ultra-Processed Labels in the FDA Nutrition Info Box, a Randomized Online Experiment in Adults in the United States

This randomized controlled online experiment will test whether adding an ultra-processed food (UPF) warning label or a positive not-ultra-processed (Not-UPF) label, to the FDA's proposed Nutrition Information Box (NIB) changes consumer perceptions of UPFs among U.S. adults.

Participants will be randomized to one of four label conditions and will evaluate UPF and Not-UPF products with different nutritional profiles of 3 food categories: yogurts, cereals, and sliced breads. The primary outcome is shelf choice and the secondary outcomes are correct identification of UPF products, perceived healthfulness, perceived usefulness, and perceived message effectiveness.

Read more

This experiment aims to answer the following questions:

Do UPF warning labels and Not-UPF labels shift shelf choice toward Not-UPF products compared to the NIB alone? Is a UPF warning label more effective than a Not-UPF label at shifting shelf choice, decreasing perceived healthfulness, improving correct identification of UPFs, and increasing perceived usefulness and perceived message effectiveness?

Researchers will compare outcomes across the four randomized arms to estimate the independent effect of adding a UPF warning label versus a Not-UPF label beyond nutrient disclosure in the NIB alone.

Read the detailed description

Four-arm parallel randomized controlled trial (RCT) in a national online survey. Participants (n≈12,400; 10,000 adults from a Census-matched panel and 2,400 adults eligible for the Supplemental Nutrition Assistance Program (SNAP) from 12 states) will view identical product images with different labels:

NIB only Control NIB + UPF warning label Black NIB + Not-UPF label Black NIB + Not-UPF label Green

Between-subjects design. Each participant will see one label condition across the whole survey experiment. Outcomes will be measured via Likert scales and binary classification. Randomization implemented in Qualtrics with simple equal allocation.

In the shelf-choice task, participants will view six products per category (3 UPF and 3 Not-UPF) in a simulated online-retail shelf and select the one product the participant would most likely buy. For the UPF-ID task, participants will be assigned to one random category and then indicate whether each of six products (3 UPF and 3 Not-UPF) UPF or not. For perceived healthfulness, participants will be assigned to one random category and then rate for 2 products how good or bad for health it would be to consume every day. After the product tasks, the label will be displayed without a product and participants will answer questions about how useful the participant thinks the label is for making healthy decisions and about the perceived message effectiveness of the label.

The primary comparisons are NIB + UPF warning label versus NIB + Not-UPF label Black, and each of these two conditions versus the NIB only Control. The two Not-UPF label colors will be compared with each other and with the NIB only Control as a secondary comparison.

The investigators hypothesize that the UPF warning label will be more effective than both the Not-UPF label and the NIB alone at shifting shelf choice toward Not-UPF products, improving correct identification of UPF products, lowering perceived healthfulness of UPF products, and increasing perceived usefulness of the label. The investigators further hypothesize that the UPF warning label will produce higher perceived message effectiveness than the Not-UPF label.

Being tested
NIB: Label exposure in mock-up UPF and Not-UPF products, NIB+UPFWL: Label exposure in mock-up UPF and Not-UPF products, NIB+Not-UPF Black: Label exposure in mock-up UPF and Not-UPF products, NIB+Not-UPF Green: Label exposure in mock-up UPF and Not-UPF products
Keywords
Ultra-processed food, UPF, diet quality, NOVA

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • NIB: Label exposure in mock-up UPF and Not-UPF productsBehavioural

    This intervention consists of exposure to the FDA Nutrition Information Box (NIB) alone.

    Participants view mock-ups of UPF and Not-UPF products in 3 food categories (yogurts, cereals, and sliced breads), each displaying the NIB.

    This condition serves as the comparator for estimating how adding a UPF warning label or a Not-UPF label, independent of nutrient content, alters shelf choice, identification of UPF, perceived healthfulness, perceived usefulness, and perceived message effectiveness.

  • NIB+UPFWL: Label exposure in mock-up UPF and Not-UPF productsBehavioural

    This intervention consists of exposure to a UPF warning label embedded within the NIB.

    Participants view mock-ups of UPF and Not-UPF products in 3 food categories (yogurts, cereals, and sliced breads), each displaying the NIB+UPFWL.

    This intervention tests a processing-based warning label, providing evidence on how a UPF warning label, independent of nutrient content, can alter shelf choice, identification of UPF, perceived healthfulness, perceived usefulness, and perceived message effectiveness.

  • NIB+Not-UPF Black: Label exposure in mock-up UPF and Not-UPF productsBehavioural

    This intervention consists of exposure to a black Not-UPF label embedded NIB.

    Participants view mock-ups of UPF and Not-UPF products in 3 food categories (yogurts, cereals, and sliced breads), each displaying the NIB+Not UPF Black.

    This intervention tests a positive processing-based label, providing evidence on how a Not-UPF label, independent of nutrient content, can alter shelf choice, identification of UPF, perceived healthfulness, perceived usefulness, and perceived message effectiveness, compared with a UPF warning label and the NIB alone.

  • NIB+Not-UPF Green: Label exposure in mock-up UPF and Not-UPF productsBehavioural

    This intervention consists of exposure to a green Not-UPF label embedded NIB.

    Participants view mock-ups of UPF and Not-UPF products in 3 food categories (yogurts, cereals, and sliced breads), each displaying the NIB+Not UPF Green.

    This intervention tests a positive processing-based label, providing evidence on how a Not-UPF label, independent of nutrient content, can alter shelf choice, identification of UPF, perceived healthfulness, perceived usefulness, and perceived message effectiveness, compared with a UPF warning label and the NIB alone.

Study groups in NCT07863570
Study groupRoleWhat they receive
ControlActive comparatorNutrition Info Box (NIB) Only
Receives: Behavioral: NIB: Label exposure in mock-up UPF and Not-UPF products
NIB + UPFWLExperimentalNutrition Info Box (NIB) + Ultra-Processed Warning Label
Receives: Behavioral: NIB+UPFWL: Label exposure in mock-up UPF and Not-UPF products
NIB + Not-UPF BlackExperimentalNutrition Info Box (NIB) + Not Ultra-Processed Label (Black)
Receives: Behavioral: NIB+Not-UPF Black: Label exposure in mock-up UPF and Not-UPF products
NIB + Not-UPF GreenExperimentalNutrition Info Box (NIB) + Not Ultra-Processed Label (Green)
Receives: Behavioral: NIB+Not-UPF Green: Label exposure in mock-up UPF and Not-UPF products

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Shelf Choice (UPF or Not UPF product)

    Binary variable (1 = selects a Not-UPF product; 0 = selects a UPF product). In each of three food categories (yogurt, cereal, and sliced bread), participants view six products (3 UPF and 3 Not-UPF) in a simulated online-retail shelf and select the one product the participant would most like to buy, giving three choices per participant. The three choices are analyzed together as repeated measures, accounting for food category, and reported as the percentage of choices that are Not-UPF products. Higher values indicate a greater tendency to choose Not-UPF products.

    Measured: Immediately after label exposure

Secondary outcomes (4)
  1. Correct Identification of UPF

    Binary variable (1 = correct; 0 = incorrect). In one randomly assigned food category, participants indicate whether the participant thinks each of six products (3 UPF and 3 Not-UPF) is UPF. Each product is coded as correct or incorrect, with "Not sure" coded as incorrect. Higher values indicate greater identification accuracy.

    Measured: Immediately after label exposure

  2. Perceived Healthfulness Rating

    Participants rate two products (one UPF, one not UPF) from the same randomly assigned food category (yogurt, cereal, or sliced bread) on a 5-point Likert scale from 1 = "Very bad" to 5 = "Very good" indicating how good or bad for health, the participant believes it would be to consume the product every day. Higher scores indicate greater perceived healthfulness.

    Measured: Immediately after label exposure

  3. Perceived Usefulness Rating

    Participants rate the assigned label on a 5-point Likert scale from 1 = "Not at all confident" to 5 = "Extremely confident" indicating how confident the participant is that the label could be used to help make healthy decisions. Higher scores indicate greater perceived usefulness of the label.

    Measured: Immediately after label exposure

  4. Perceived Message Effectiveness Rating

    Participants complete a 3-item perceived message effectiveness scale rated on a 5-point Likert scale from 1 = "Not at all" to 5 = "A great deal" indicating how much the label discourages the participant from wanting to consume UPFs, makes the participant concerned about the health effects of consuming UPFs, and makes consuming UPFs seem unpleasant. Items are averaged into a composite PME score. Higher scores indicate greater perceived message effectiveness.

    Measured: Immediately after label exposure

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted7 Oct 2026
  2. Study startOct 2026 (estimated)
  3. Primary completion11 Nov 2026 (estimated)
  4. Study completion11 Nov 2026 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Prevention
Allocation
Randomised
Intervention model
Parallel groups
Model description
Participants will view UPF and Not-UPF products with different nutritional profiles across 3 food categories: yogurt, cereal, and sliced bread presented in random order. Participants will be randomized to view the products with one of four labeling schemes applied: (1) NIB only Control, (2) NIB + UPF warning label Black, (3) NIB + Not-UPF label Black, (4) NIB + Not-UPF label Green. Participants will first complete a shelf-choice task, selecting the one product the participant would most likely buy out of six products (3 UPF and 3 Not-UPF) in each category. In one randomly assigned category, participants will then answer survey questions to assess correct identification of 6 products and the perceived healthfulness of 2 products. Then, participants will view the assigned label again and answer additional questions about how useful the label is and the perceived message effectiveness of the label.
Masking
None (open label)
Enrolment
12,400 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07863570
Sponsor's protocol ID
IRB00034378-MOD
Other IDs
MOD00007920
Acronym
UPF-LABELS-NIB
Status last verified
Oct 2026
First submitted
2 Oct 2026
Last updated
26 Oct 2026
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

A study testing NIB: Label exposure in mock-up UPF and Not-UPF products, NIB+UPFWL: Label exposure in mock-up UPF and Not-UPF products and NIB+Not-UPF Black: Label exposure in mock-up UPF and Not-UPF products in people with Ultra-processed Labels, run by Johns Hopkins Bloomberg School of Public Health at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: opening soon, as of the sponsor's last update on 26 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Daphne A Barquera Guevara, MD (4439656550, dbarque1@jh.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Shelf Choice (UPF or Not UPF product) (time frame: Immediately after label exposure). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Oct 2026.

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