Understanding of different front-of-package labels by the Spanish population: Results of a comparative study.

Pilar Galan, Manon Egnell, Jordi Salas-Salvadó, Nancy Babio, Simone Pettigrew, Serge Hercberg, Chantal Julia

Journal: Endocrinologia, diabetes y nutricion 2021;67(2):122-129

PMID: 31122890

Abstract

BACKGROUND AND OBJECTIVES

Increased prevalence of obesity and its comorbidities has shown the need to implement social policies to help curb this trend. Nutritional risk factors are recognized as key drivers of obesity and other chronic diseases in Spain and in other Western countries. Front-of-package labels (FoPLs) are efficient tools to help consumers make healthier choices. To be useful in purchasing situations, consumers need to understand the information provided by FoPLs. The study objective was to assess objective understanding by consumers of five types of FoPLs, i.e. Health Star Rating system (HSR), Multiple Traffic Lights (MTL), Nutri-Score, Reference Intakes (RIs), and Warning symbol in Spain.

METHODS

In 2018, 1,000 Spanish participants were recruited and requested to rank three sets of label-free products (one set of three pizzas, one set of three cakes, and one set of three breakfast cereals) according to their nutritional quality in an on-line survey. Participants were then randomized to one of the five types of FoPLs, and were requested to rank the same sets of products again, this time with a given FoPL displayed on the package. Changes in ability to correctly rank products according to FoPLs were compared between both tasks using ordinal logistic regression.

RESULTS

For all three food categories, Nutri-Score performed significantly better, followed by MTL, the Warning symbol, HSR and RIs.

CONCLUSIONS

Nutri-Score emerged as the most efficient FoPL in conveying information on the nutritional quality of foods among Spanish consumers.

Copyright © 2019 SEEN y SED. Publicado por Elsevier España, S.L.U. All rights reserved.

Address: Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, Francia. Electronic address: [email protected].; Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, Francia.; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, España; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Hospital Universitari San Joan de Reus, Institut d'Investigació Pere Virgili (IISPV), Reus, España.; School of Psychology, Curtin University, Bentley, Australia.; Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Bobigny, Francia; Public Health Department, Avicenne Hospital, AP-HP, Bobigny, Francia.
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