Evidence map›Paper›PMID 38200567›Full record

ArticleArchives of public health = Archives belges de sante publique2024

Assessment of ultra processed foods consumption in Senegal: validation of the Nova-UPF screener.

Saliou Diombo Kébé, Adama Diouf, Papa Mamadou Dit Doudou Sylla, Kalidou Kane, Caroline Dos Santos Costa, Fernanda Helena Marrocos Leite, Giovanna Calixto Andrade, Abdou Badiane, Jean-Claude Moubarac, Nicole Idohou-Dossou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Development and Validation of a New Tool for Assessing the Intake of Ultra-Processed Foods in Adult Population: GR-UPFAST.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
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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

11 authors at 4 institutions in 3 countries.

Saliou Diombo KébéLaboratoire de Recherche en Nutrition et Alimentation Humaine, Département de Biologie Animale, Université Cheikh Anta Diop, Dakar, Sénégal. salioudiombo.kebe@ucad.edu.sn.
Adama DioufLaboratoire de Recherche en Nutrition et Alimentation Humaine, Département de Biologie Animale, Université Cheikh Anta Diop, Dakar, Sénégal.
Papa Mamadou Dit Doudou SyllaLaboratoire de Recherche en Nutrition et Alimentation Humaine, Département de Biologie Animale, Université Cheikh Anta Diop, Dakar, Sénégal.
Kalidou KaneLaboratoire de Recherche en Nutrition et Alimentation Humaine, Département de Biologie Animale, Université Cheikh Anta Diop, Dakar, Sénégal.
Caroline Dos Santos CostaCenter for Epidemiological Research in Nutrition and Health, School of Public Health, University of Sao Paulo, São Paulo, Brazil.
Fernanda Helena Marrocos LeiteCenter for Epidemiological Research in Nutrition and Health, School of Public Health, University of Sao Paulo, São Paulo, Brazil.
Giovanna Calixto AndradeCenter for Epidemiological Research in Nutrition and Health, School of Public Health, University of Sao Paulo, São Paulo, Brazil.
Abdou BadianeLaboratoire de Recherche en Nutrition et Alimentation Humaine, Département de Biologie Animale, Université Cheikh Anta Diop, Dakar, Sénégal.
Jean-Claude MoubaracDépartement de Nutrition, Université de Montréal, Montréal, Canada.
Nicole Idohou-DossouLaboratoire de Recherche en Nutrition et Alimentation Humaine, Département de Biologie Animale, Université Cheikh Anta Diop, Dakar, Sénégal.
Carlos Augusto MonteiroCenter for Epidemiological Research in Nutrition and Health, School of Public Health, University of Sao Paulo, São Paulo, Brazil.
Cheikh Anta Diop University · SNUniversidade de São Paulo · BRUniversité de Montréal · CAUniversité Gaston Berger · SN

Funding

Innovative Methods and Metrics for Agriculture and Nutrition Actions IMMANA 3.06
6 · The paper itself

Abstract

backgroundUltra-processed foods (UPF), as proposed by the Nova food classification system, are linked to the development of obesity and several non-communicable chronic diseases and deaths from all causes. The Nova-UPF screener developed in Brazil is a simple and quick tool to assess and monitor the consumption of these food products. The aim of this study was to adapt and validate, against the 24-hour dietary recall, this short food-based screener to assess UPF consumption in the Senegalese context.

methodsThe tool adaptation was undertaken using DELPHI methodology with national experts and data from a food market survey. Following the adaptation, sub-categories were renamed, restructured and new ones introduced. The validation study was conducted in the urban area of Dakar in a convenience sample of 301 adults, using as a reference the dietary share of UPF on the day prior to the survey, expressed as a percentage of total energy intake obtained via 24-hour recall. Association between the Nova-UPF score and the dietary share of UPF was evaluated using linear regression models. The Pabak index was used to assess the agreement in participants' classification according to quintiles of Nova-UPF score and quintiles of the dietary share of UPF.

resultsThe results show a linear and positive association (p-value < 0.001) between intervals of the Nova-UPF score and the average dietary share of UPF. There was a near perfect agreement in the distribution of individuals according to score's quintiles and UPF dietary share quintiles (Pabak index = 0.84).

conclusionThe study concluded that the score provided by the Nova-UPF screener adapted to the Senegalese context is a valid estimate of UPF consumption.

Indexed as

Food consumptionNon-communicable diseaseNova classification, Diet surveys, food classification systemsQuestionnaireSenegalUltra-processed FoodsValidation study

Identifiers

PMID38200567
PMCPMC10777632
OpenAlexW4390701819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.