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Nutri-Score and NutrInform Battery: Effects on Performance and Preference in Italian Consumers

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  • Morgane Fialon

    (Université Sorbonne Paris Nord, EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Mauro Serafini

    (UNICAM - Università degli Studi di Camerino = University of Camerino)

  • Pilar Galan

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Réseau National Alimentation Cancer Recherche (réseau NACRe))

  • Emmanuelle Kesse-Guyot

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Mathilde Touvier

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Chaires annuelles du Collège de France - CdF (institution) - Collège de France)

  • Mélanie Deschasaux-Tanguy

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Barthélémy Sarda

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Serge Hercberg

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Lydiane Nabec

    (RITM - Réseaux Innovation Territoires et Mondialisation - Université Paris-Saclay)

  • Chantal Julia

    (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - CNAM - Conservatoire National des Arts et Métiers [CNAM] - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

In May 2020, the European Commission announced a proposal for a mandatory front-of-pack label (FoPL) for all European Union (EU) countries. Indeed, FoPLs have been recognized by several public institutions as a cost-effective measure to guide consumers toward nutritionally favorable food products. The aim of this study was to compare the performance and consumer preference of two FoPLs currently proposed or implemented in EU countries, the interpretive format Nutri-Score and the non-interpretive format NutrInform Battery, among Italian consumers. The experimental study was conducted in 2021 on a representative sample of 1064 Italian adults (mean age = 46.5 ± 14.1 years; 48% men). Participants were randomized to either Nutri-Score or NutrInform and had to fill out an online questionnaire testing their objective understanding of the FoPL on three food categories (breakfast products, breakfast cereals and added fats) as well as purchase intention, subjective understanding and perception. Multivariable logistic regressions and t-tests were used to analyze the answers. In terms of the capacity of participants to identify the most nutritionally favorable products, Nutri-Score outperformed NutrInform in all food categories, with the highest odds ratio being observed for added fats (OR = 21.7 [15.3–31.1], p

Suggested Citation

  • Morgane Fialon & Mauro Serafini & Pilar Galan & Emmanuelle Kesse-Guyot & Mathilde Touvier & Mélanie Deschasaux-Tanguy & Barthélémy Sarda & Serge Hercberg & Lydiane Nabec & Chantal Julia, 2022. "Nutri-Score and NutrInform Battery: Effects on Performance and Preference in Italian Consumers," Post-Print hal-04213397, HAL.
    • Handle: RePEc:hal:journl:hal-04213397
    DOI: 10.3390/nu14173511
    Note: View the original document on HAL open archive server: https://hal.science/hal-04213397
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    References listed on IDEAS

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    1. Morgane Fialon & Lydiane Nabec & Chantal Julia, 2022. "Legitimacy of Front-of-Pack Nutrition Labels: Controversy Over the Deployment of the Nutri-Score in Italy," Post-Print hal-04213134, HAL.
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    Cited by:

    1. Paolo Crosetto & Laurent Muller & Bernard Ruffieux, 2024. "Label or taxes: why not both? Testing nutritional mixed policies in the lab," Working Papers 2024-01, Grenoble Applied Economics Laboratory (GAEL).

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