Evidence map›Paper›PMID 36661062›Full record

ArticleEuropean journal of public health2023

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

Morgane Fialon, Nancy Babio, Jordi Salas-Salvadó, Pilar Galan, Emmanuelle Kesse-Guyot, Mathilde Touvier, Mélanie Deschasaux-Tanguy, Barthélémy Sarda, Serge Hercberg, Nadine Khoury and 2 more

Open access · goldAbstract read
In one paragraph

Article in European journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Morgane FialonSorbonne 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.ORCID 0000-0002-6576-0030
Nancy BabioUnitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain.ORCID 0000-0003-3527-5277
Jordi Salas-SalvadóUnitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain.
Pilar GalanSorbonne 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.ORCID 0000-0003-1706-3107
Emmanuelle Kesse-GuyotSorbonne 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.
Mathilde TouvierSorbonne 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.ORCID 0000-0002-8322-8857
Mélanie Deschasaux-TanguySorbonne 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.ORCID 0000-0002-3359-420X
Barthélémy SardaSorbonne 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.
Serge HercbergSorbonne 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.
Nadine KhouryUnitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain.
Lydiane NabecCentre de Recherche Réseaux, Innovation, Territoire et Mondialisation (RITM), Université Paris-Saclay, Paris, France.
Chantal JuliaSorbonne 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.ORCID 0000-0003-2006-5269
Conservatoire National des Arts et Métiers · FRInstituto de Salud Carlos III · ESInstitut de Recerca Biomèdica Catalunya Sud · ESUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterpretive 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.

methodsIn 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).

resultsIn 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).

conclusionsThis study provides new evidence to support Nutri-Score in comparison with NutrInform in Spanish consumers, on both objective understanding and preference aspects.

Indexed as

Food LabelingFood PreferencesAdultChoice BehaviorConsumer BehaviorDiet, HealthyFemaleFoodHumansMaleNutritive Value

Identifiers

PMID36661062
PMCPMC10066476
OpenAlexW4317532750

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.