Evidence map›Paper›PMID 37971176›Full record

ArticleRevista de saude publica2023

Food and Nutrition Surveillance System markers predict diet quality.

Maria Laura da Costa Louzada, Vanessa Del Castillo Silva Couto, Fernanda Rauber, Claudia Raulino Tramontt, Thanise Sabrina Souza Santos, Bárbara Hatzlhoffer Lourenço, Patrícia Constante Jaime

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Diet screeners and their association with constipation and stool consistency in school-aged children.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2026
    Article
  4. Article
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  6. Review
  7. Article
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  9. Article
  10. Energy-Dense and Low-Fiber Dietary Pattern May Be a Key Contributor to the Rising Obesity Rates in Brazil.International journal of environmental research and public health · 2024
    Article
  11. Article
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

7 authors at 2 institutions in 1 country.

Maria Laura da Costa LouzadaUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brazil.ORCID http://orcid.org/0000-0002-3756-2301
Vanessa Del Castillo Silva CoutoUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brazil.ORCID http://orcid.org/0000-0001-7598-9229
Fernanda RauberUniversidade de São Paulo . Faculdade de Medicina . Departamento de Medicina Preventiva . São Paulo , SP , Brazil.ORCID http://orcid.org/0000-0001-9693-7954
Claudia Raulino TramonttUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brazil.ORCID http://orcid.org/0000-0001-7264-9317
Thanise Sabrina Souza SantosUniversidade Federal de Minas Gerais . Grupo de Pesquisa de Intervenções em Nutrição . Belo Horizonte , MG , Brazil.ORCID http://orcid.org/0000-0003-4087-1815
Bárbara Hatzlhoffer LourençoUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brazil.ORCID http://orcid.org/0000-0002-2006-674X
Patrícia Constante JaimeUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Nutrição . São Paulo , SP , Brazil.ORCID http://orcid.org/0000-0003-2291-8536
Universidade de São Paulo · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the performance of food consumption markers of the Food and Nutrition Surveillance System (Sisvan) in assessing the overall dietary quality.

methodsThe study was carried out based on the reproduction of responses to markers in 24-hour recall data from 46,164 individuals aged ≥ 10 years, from the 2017-2018 Household Budget Survey (POF). Seven Sisvan markers were evaluated, and two scores were calculated for each participant, based on the sum of the number of healthy food markers (beans, fruits, and vegetables, ranging from 0 to 3) and unhealthy (hamburgers/sausages, sweetened beverages, instant noodles/salt snacks/crackers, stuffed cookies/sweets/candies, ranging from 0 to 4) consumed. Linear regression analyses were used to assess the association between scores and diet quality indicators (ultra-processed foods, dietary diversity, and levels of saturated and trans fat, added sugar, sodium, potassium, and fiber in the diet).

resultsThe score of healthy eating markers increased significantly with increasing dietary diversity and potassium and fiber contents in the diet, while the opposite trend was observed for the densities of added sugar, sodium, saturated and trans fat (p < 0.001). The score of unhealthy eating markers increased significantly with the increase in the consumption of ultra-processed foods and densities of added sugar, saturated and trans fat levels in the diet, while an inverse trend was observed for potassium and fiber (p < 0.001). The joint analysis of the combination of the two marker scores showed that individuals with better performance (3 in the healthy food score, and 0 in the unhealthy food score) have a lower number of inadequacies in nutrient consumption.

conclusionSisvan food consumption markers, quickly and easily applied and already incorporated into the Brazilian public health system, have good potential to reflect the overall dietary quality.

Indexed as

DietEnergy IntakeBrazilFeeding BehaviorHumansPotassiumSodiumSugarsPotassiumSodiumSugars

Identifiers

PMID37971176
PMCPMC10631750
OpenAlexW4388801338

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.