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

• Published in: Nutrients Vol. 14; no. 17; p. 3511
• Main Authors: Fialon, Morgane, Serafini, Mauro, Galan, Pilar, Kesse-Guyot, Emmanuelle, Touvier, Mathilde, Deschasaux-Tanguy, Mélanie, Sarda, Barthélémy, Hercberg, Serge, Nabec, Lydiane, Julia, Chantal
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26-08-2022; MDPI
• Subjects: Adult; Breakfast; Breakfast cereals; Breakfast foods; Business administration; Cereals; Choice Behavior; Consumer Behavior; Consumer preferences; Consumers; Descriptive labeling; Diet; Fats; Fatty acids; Female; Food; Food Labeling; Food Preferences; Food products; Format; front-of-pack; Health aspects; Humanities and Social Sciences; Humans; Italy; Labeling; Life Sciences; Likert scale; Male; Middle Aged; Nutri-Score; NutrInform Battery; Nutrition; Nutritive Value; Oils & fats; Olive Oil; Purchasing; Questionnaires; Santé publique et épidémiologie; Surveys; Italy; Italy; Nutri-Score; front-of-pack; NutrInform Battery
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu14173511

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 < 0.0001). Overall, with Nutri-Score, Italian participants were more likely to intend to purchase nutritionally favorable products than with NutrInform (OR = 5.29 [4.02−6.97], p < 0.0001). Focusing on olive oil, participants of the Nutri-Score group had higher purchase intention of olive oil compared to those in the NutrInform group (OR = 1.92 [1.42−2.60], p < 0.0001) after manipulating the label. The interpretive format Nutri-Score appears to be a more efficient tool than NutrInform for orienting Italian consumers towards more nutritionally favorable food choices.