Identifying the best FDA-endorsed healthy label designs through best-worst scaling experiment
Year: 2025
Type: article
Abstract: OBJECTIVE: This 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. DESIGN: A 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. SETTING: The experiment was conducted in a controlled laboratory setting in the USA. PARTICIPANTS: Three hundred and eight US adult consumers who are primary household shoppers without dietary restrictions. RESULTS: Results 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. CONCLUSIONS: This 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.
Source: Public Health Nutrition
Institutions: University of Florida, Korea University, Texas A&M University
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,550
Award: G7072584203
OpenAlex ID: W4411324720
