Evidence map›Paper›PMID 33112887›Full record

ArticlePloS one2020

Energy contribution of NOVA food groups and the nutritional profile of the Brazilian rural workers' diets.

Monica Cattafesta, Glenda Blaser Petarli, Eliana Zandonade, Olívia Maria de Paula Alves Bezerra, Sandra Marlene Ribeiro de Abreu, Luciane Bresciani Salaroli

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Observational
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  12. Assessment of ultra processed foods consumption in Senegal: validation of the Nova-UPF screener.Archives of public health = Archives belges de sante publique · 2024
    Article
  13. Article
  14. Metabolic Syndrome and Associated Factors in Farmers in Southeastern Brazil: A Cross-Sectional Study.International journal of environmental research and public health · 2023
    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

6 authors at 3 institutions in 2 countries.

Monica CattafestaGraduate Program in Collective Health, Federal University of Espírito Santo, Vitória, ES, Brazil.ORCID 0000-0002-8973-622X
Glenda Blaser PetarliGraduate Program in Collective Health, Federal University of Espírito Santo, Vitória, ES, Brazil.
Eliana ZandonadeGraduate Program in Collective Health, Federal University of Espírito Santo, Vitória, ES, Brazil.
Olívia Maria de Paula Alves BezerraDepartment of Family Medicine, Mental and Collective Health, Federal University of Ouro Preto, Ouro Preto, MG, Brazil.
Sandra Marlene Ribeiro de AbreuFaculty of Sports, Research Center on Physical Activity, Health and Leisure, University of Porto, Porto, Portugal.
Luciane Bresciani SalaroliGraduate Program in Collective Health, Federal University of Espírito Santo, Vitória, ES, Brazil.ORCID 0000-0002-1881-0306
Universidade Federal do Espírito Santo · BRUniversidade do Porto · PTUniversidade Federal de Ouro Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We estimated the caloric contribution of minimally processed foods, processed culinary ingredients, processed foods and ultra-processed foods in Brazilian farmers' diets and their association with the nutritional profile of the diet. It is an epidemiological study of cross-sectional, analytical and quantitative design with 740 farmers adults of Southeastern Brazil. Food intake data were obtained by applying three 24-hour recalls and were classified according to the degree and purpose of processing. The largest caloric contribution came from the group of minimally processed foods (64.7%), followed by ultra-processed foods (17.7%), processed culinary ingredients (12.4%), and processed foods (5.2%). Individuals in the fourth quartile of caloric contribution from minimally processed foods showed lower energy consumption (β -0.16, P<0.001) and greater consumption of all 15 micronutrients analyzed. In contrast to what was identified for this food group, the higher caloric contribution from ultra-processed foods was associated with a greater caloric content of the diet (β 0.17, P<0.001) and lower consumption of all 23 analyzed nutrients. Therefore, the caloric contribution from the consumption of ultra-processed foods in the rural area is still lower than the national average. However, measures aimed at delaying isocaloric exchanges for the group of ultra-processed foods must be carried out, maintaining the local food culture, since this group had worse nutritional levels. In addition, incentives to the greater consumption of minimally processed foods should be carried out, due to their nutritional quality.

Indexed as

DietEnergy IntakeFoodNutritional StatusRural PopulationAdultBrazilFarmersFemaleHumansMaleMiddle Aged

Identifiers

PMID33112887
PMCPMC7592810
OpenAlexW3097138105

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.