Evidence map›Paper›PMID 40518571›Full record

ArticlePublic health nutrition2025

Identifying the best FDA-endorsed healthy label designs through best-worst scaling experiment.

Jianhui Liu, Bachir Kassas, John Lai, Rodolfo M Nayga

Abstract read
In one paragraph

Article in Public health nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jianhui LiuUniversity of Florida, Gainesville, FL, USA.ORCID 0000-0002-2243-4067
Bachir KassasUniversity of Florida, Gainesville, FL, USA.
John LaiUniversity of Florida, Gainesville, FL, USA.
Rodolfo M NaygaTexas A&M University, College Station, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to assess consumer preferences for fifteen proposed front-of-package 'Healthy' label candidates under the Food and Drug Administration's (FDA) of the US updated guidelines for the 'Healthy' label. The goal of this study is to identify which label designs best align with consumer preferences, thereby supporting the FDA's efforts to promote healthier dietary choices through effective labelling.

designA best-worst scaling (BWS) experiment was conducted using a balanced incomplete block design to assess consumer preferences for the fifteen FDA-proposed 'Healthy' labels. Participants completed fifteen best-worst scaling choice tasks where they identified the 'best' and 'worst' design from three randomly presented options in each task.

settingThe experiment was conducted in a controlled laboratory setting in the USA.

participantsThree hundred and eight US adult consumers who are primary household shoppers without dietary restrictions.

resultsResults from the random parameter logit model indicate that labels 12 and 8 emerged as the most preferred designs, with preference shares of 16·7 and 16·1 %, respectively. These two labels featured a prominent 'Healthy' display with bold blue font, balanced colour themes and check marks, which likely contributed to their appeal. The Krinsky and Robb bootstrapping method confirmed the statistical significance of the preferences for these labels over others.

conclusionsThis study identifies two labels as the most preferred FDA-proposed 'Healthy' label designs, offering clear guidance to policymakers on effective labelling strategies. By adopting a consumer-preferred design, the FDA's 'Healthy' label may have greater potential to influence healthier food choices.

Indexed as

Consumer BehaviorDiet, HealthyFood LabelingFood PreferencesAdultChoice BehaviorFemaleHumansMaleMiddle AgedNutrition PolicyUnited StatesUnited States Food and Drug AdministrationYoung AdultBest-worst scalingFood and Drug AdministrationFood labelling policyFront-of-pack labels

Identifiers

PMID40518571
PMCPMC12264771

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.