Evidence map›Paper›PMID 37513535›Full record

ArticleNutrients2023

Cross-Classification Analysis of Food Products Based on Nutritional Quality and Degree of Processing.

Sandra Abreu, Margarida Liz Martins

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
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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

2 authors at 2 institutions in 1 country.

Sandra AbreuSchool of Life Sciences and Environment, University of Trás-os-Montes, and Alto Douro (UTAD), 5000-801 Vila Real, Portugal.ORCID 0000-0002-6722-1575
Margarida Liz MartinsPolytechnic Institute of Coimbra, Coimbra Health School (ESTeSC), 3045-093 Coimbra, Portugal.ORCID 0000-0001-6870-3632
Polytechnic Institute of Coimbra · PTUniversity of Trás-os-Montes and Alto Douro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to compare the classification of foods available in the Portuguese market using Nutri-Score and NOVA classifications and to analyse their ability to discriminate the fat, saturated fat, sugar, and salt content of foods. A sample of 2682 food products was collected. The nutritional quality of foods was established using the Nutri-Score, classifying them into five categories (from A to E). The NOVA classification was used to classify foods according to the degree of food processing into unprocessed/minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods (UPF). The nutritional content of food products was classified using a Multiple Traffic Light label system. It was observed that 73.7% of UPF were classified as Nutri-Score C, D, and E, 10.1% as Nutri-Score A, and 16.2% as Nutri-Score B. Nutri-Score was positively correlated with NOVA classification (ρ = 0.140,

Indexed as

DietFast FoodsCarbohydratesFatty AcidsFood HandlingNutritive ValueSodium Chloride, DietarySugarsCarbohydratesFatty AcidsSodium Chloride, DietarySugarsfood classificationfood labelnutritive valueultra-processed foods

Identifiers

PMID37513535
PMCPMC10383862
OpenAlexW4384131510

What OpenQuestion holds

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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.