Evidence map›Paper›PMID 33957970›Full record

ArticleArchives of public health = Archives belges de sante publique2021

Comparison of appropriateness of Nutri-Score and other front-of-pack nutrition labels across a group of Moroccan consumers: awareness, understanding and food choices.

Hassan Aguenaou, Laila El Ammari, Maryam Bigdeli, Amina El Hajjab, Houria Lahmam, Saloua Labzizi, Hasnae Gamih, Anouar Talouizte, Chaimae Serbouti, Khalid El Kari and 4 more

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

14 authors.

Hassan AguenaouIbn Tofail University-CNESTEN, Joint Research Unit in Nutrition and Food, RDC-Nutrition AFRA/IAEA, Rabat, 14000, Kenitra, Morocco.
Laila El AmmariMinistry of Health, Rabat, Morocco.
Maryam BigdeliWorld Health Organisation, Rabat, Morocco.
Amina El HajjabMinisrty of Agriculture, Maritime Fisheries, Rural Development, Water and Forests, Rabat, Morocco.
Houria LahmamIbn Tofail University-CNESTEN, Joint Research Unit in Nutrition and Food, RDC-Nutrition AFRA/IAEA, Rabat, 14000, Kenitra, Morocco. hourialahmam@hotmail.fr.ORCID http://orcid.org/0000-0001-6011-6433
Saloua LabziziMinistry of Health, Rabat, Morocco.
Hasnae GamihMinistry of Health, Rabat, Morocco.
Anouar TalouizteMinistry of Health, Rabat, Morocco.
Chaimae SerboutiIbn Tofail University-CNESTEN, Joint Research Unit in Nutrition and Food, RDC-Nutrition AFRA/IAEA, Rabat, 14000, Kenitra, Morocco.
Khalid El KariIbn Tofail University-CNESTEN, Joint Research Unit in Nutrition and Food, RDC-Nutrition AFRA/IAEA, Rabat, 14000, Kenitra, Morocco.
Hasnae BenkiraneIbn Tofail University-CNESTEN, Joint Research Unit in Nutrition and Food, RDC-Nutrition AFRA/IAEA, Rabat, 14000, Kenitra, Morocco.
Hicham El BerriWorld Health Organisation, Cairo, Egypt.
Ayoub Al-JawaldehWorld Health Organisation, Cairo, Egypt.
Abdelhakim YahyaneMinistry of Health, Rabat, Morocco.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe front of pack nutrition label Nutri-Score, intended to help consumers orient their choices towards foods that are more favorable to health, was developed in France and applied in several European countries. Consideration is underway for its use in Morocco. This study aims to assess Moroccan consumers' perception and objective understanding of Nutri-Score and 4 other nutritional information labels (Health Star Rating, Health warning, Reference Intakes and Multiple Trafic Light) and their impact on purchase intentions.

methods814 participants were asked to choose among 3 food classes (yoghurts, biscuits and cold cuts), which ones they would prefer to buy among three products with different nutritional profiles and then to rank them according to their nutritional quality. Participants first performed these tasks without a visible nutritional label, and then, after being randomized to one of five labels tested, with the nutritional label visible on front of packs. Next, the full set of tested labels was presented to the participants who were asked a series of questions regarding their preferences, the attractiveness of the labels, their perceptions, intention to use and the trustworthiness placed in the labels.

resultsCompared to the Reference Intake, the Nutri-Score (OR = 2.48 [1.53-4.05], p < 0.0001), was associated with the highest improvement in the ability to correctly classify foods based on their nutritional quality. The percentage of participants who improved their food choice was higher than those who worsened it for all the labels. For yogurts and cookies, the most significant improvements were observed for the Nutri-Score and the Reference Intakes: Concerning the perception of labels, the Nutri-Score is the label that received the highest number of positive responses, whether concerning the ease of being spotted (82.2%), of being understood (74%), and to provide rapid information (68.8%). The Nutri-Score was ranked as the preferred label by 64.9% of the participants.

conclusionThe Nutri-Score appears to be the most effective nutritional information system to inform consumers about the nutritional quality of foods in Morocco, where it could constitute a useful tool to help consumers in their food choices in situations of purchase.

Indexed as

Food choiceFront-of-pack nutrition labelsMoroccan consumersNutritional policyObjective understandingPerception of labels

Identifiers

PMID33957970
PMCPMC8101098

What OpenQuestion holds

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LicenceCC BY
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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.