SEARCHCROSS-SECTIONALnutrition, public health

cross-sectional·nutrition, public health, epidemiology, dietetics, food science·PMC10066476

Comparative understanding and preference of Nutri-Score and NutrInform Battery in a sample of Spanish consumers

The European Journal of Public Health · 12 authors, 19 centres

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TL;DR

Regarding preference, Nutri-Score was perceived as significantly easier to use and more liked than NutrInform.

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Regarding preference, Nutri-Score was perceived as significantly easier to use and more liked than NutrInform. The study was a survey-based experiment; findings reflect consumer perception and understanding in a single assessment, not long-term dietary behavior.

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cross-sectional

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nutrition

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ORIGINAL PAPER

PMC10066476

Comparative understanding and preference of Nutri-Score and NutrInform Battery in a sample of Spanish consumers

The European Journal of Public Health

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ABSTRACT

Abstract Background Interpretive front-of-pack labels (FoPLs) are supported by World Health Organization as an important policy tool to promote healthy diets. At present, various FoPLs formats co-exist in the European Union (EU). However, as part of the Farm to Fork strategy published in 2020, the European Commission stated that it would propose a single mandatory FoPL. The aim of this study was to analyze Spanish consumers’ preference and objective understanding of Nutri-Score and NutrInform, two FoPLs that are currently the subject of debate in the EU. Methods In a representative sample of 1026 Spanish adults (50% women, mean age ± SD = 46 ± 14 years), objective understanding was assessed by asking participants to identify the healthiest food products in three food categories (breakfast products, breakfast cereals and added fats). The preference dimensions were tested by asking participants about the perceived helpfulness of the FoPL in discriminating the nutritional quality of food products (subjective understanding) and their overall assessment of the FoPL’s ease of use, informativeness, trust and liking (perception). Results In terms of objective understanding, Nutri-Score was significantly associated with an increase in consumers’ ability to identify healthier food products across all food categories compared with NutrInform [OR (odds ratio) = 19.1 [14.2–25.7], P < 0.0001]. On the preference dimension, Nutri-Score was perceived as significantly easier to use and was more liked than NutrInform (standardized principal component analysis dimension, respectively, 0.32 ± 1.58 vs. −0.29 ± 1.66, P < 0.0001 and 0.080 ± 1.18 vs. −0.072 ± 1.17, P = 0.039). Conclusions This study provides new evidence to support Nutri-Score in comparison with NutrInform in Spanish consumers, on both objective understanding and preference aspects.

CITATION EXPORT

Morgane Fialon, Nancy Babio, Jordi Salas-Salvadó et al.. Comparative understanding and preference of Nutri-Score and NutrInform Battery in a sample of Spanish consumers. The European Journal of Public Health. (2023). https://doi.org/10.1093/eurpub/ckad002

AUTHORS

12 · 19 CENTRES

Morgane Fialon, Nancy Babio, Jordi Salas-Salvadó, Pilar Galan, Emmanuelle Kesse-Guyot, Mathilde Touvier, Mélanie Deschasaux-Tanguy, Barthélémy Sarda, Serge Hercberg, Nadine Khoury, Lydiane Nabec, Chantal Julia

1 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
2 Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain
3 Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
4 Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
5 Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain
6 Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
7 Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
8 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
9 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
10 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
11 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
12 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
13 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
14 Public Health Department, Avicenne Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Paris, France
15 Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain
16 Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
17 Centre de Recherche Réseaux, Innovation, Territoire et Mondialisation (RITM), Université Paris-Saclay, Paris, France
18 Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), 74 rue Marcel Cachin, 93017 Bobigny Cedex, France
19 Public Health Department, Avicenne Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Paris, France