Comparative understanding and preference of Nutri-Score and NutrInform battery in a sample of Spanish consumers
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Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Inserm U1153, Inrae U1125, Cnam, Université Sorbonne Paris Nord University, Bobigny, France
CIBEROBN, Instituto de Salud Carlos III, Madrid, Spain
Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Spain
Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, Spain
Centre de Recherche Réseaux, Innovation, Territoire et Mondialisation (RITM), Université Paris-Saclay, Gif-sur-Yvette, France
Publication date: 2023-04-27
Popul. Med. 2023;5(Supplement):A875
Background & objective: Interpretive Front-of-Pack Labels (FoPLs) are supported by the World Health Organization as a key 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, the European Commission stated it would adopt a single mandatory FoPL in 2022. The aim of this study was to analyze Spanish consumers reactions to Nutri-Score and NutrInform, two FoPLs that are currently the subject of debate in EU, testing the objective understanding of the FoPLs as well as their preference among participants through subjective understanding and perception. Methods: The experimental study was conducted in 2021 on a representative sample of 1026 Spanish adults (50% women, mean age ± SD = 46 ± 14 years), through an online randomized questionnaire where participants were exposed to Nutri-Score or NutrInform. Objective understanding of and preference for these two FoPLs were assessed in three food categories (Breakfast Products, Breakfast Cereals and Added Fats). Objective understanding was tested using multivariate logistic regression while preference using Principal Component Analysis (PCA) and t-tests. 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 to NutrInform (OR=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 PCA dimension resp. 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) and participants found Nutri-Score more helpful to discriminate the nutritional quality of Breakfast Products and Breakfast Cereals (resp. 1.32±1.00 vs. 1.14±1.02, p<0.01 and 1.33±1.00 vs. 1.00±1.03, p<0.0001). Conclusions: Results of this study provide new evidence to support Nutri-Score in comparison with the NutrInform Battery, on both objective understanding and preference aspects.
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