Evidence map›Paper›PMID 34910054›Full record

ArticleRevista de saude publica2021

Evolution of energy and nutrient intake in Brazil between 2008-2009 and 2017-2018.

Eliseu Verly Junior, Dirce Maria Marchioni, Marina Campos Araujo, Eduardo De Carli, Dayan Carvalho Ramos Salles de Oliveira, Edna Massae Yokoo, Rosely Sichieri, Rosangela Alves Pereira

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

8 authors at 5 institutions in 2 countries.

Eliseu Verly JuniorUniversidade do Estado do Rio de Janeiro. Instituto de Medicina Social. Departamento de Epidemiologia. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-1101-8746
Dirce Maria MarchioniUniversidade de São Paulo. Faculdade de Saúde Pública. Departamento de Nutrição. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-6810-5779
Marina Campos AraujoFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em Saúde. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-7980-6618
Eduardo De CarliUniversidade de São Paulo. Faculdade de Saúde Pública. Departamento de Nutrição. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-2900-8797
Dayan Carvalho Ramos Salles de OliveiraUniversidade do Estado do Rio de Janeiro. Instituto de Medicina Social. Departamento de Epidemiologia. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-2821-7223
Edna Massae YokooUniversidade Federal Fluminense. Instituto de Saúde Coletiva. Departamento de Epidemiologia e Bioestatística. Niterói, RJ, Brasil.ORCID http://orcid.org/0000-0002-3513-2084
Rosely SichieriUniversidade do Estado do Rio de Janeiro. Instituto de Medicina Social. Departamento de Epidemiologia. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-5286-5354
Rosangela Alves PereiraUniversidade Federal do Rio de Janeiro. Instituto de Nutrição Josué de Castro. Departamento de Nutrição Social e Aplicada. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-9886-9796
Universidade do Estado do Rio de Janeiro · BRUniversidade de São Paulo · BRDepartamento de Epidemiología · GTUniversidade Federal do Rio de Janeiro · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the evolution of energy and nutrient intake and the prevalence of inadequate micronutrients intakes according to sociodemographic characteristics and Brazilian regions.

methodsThe food consumption of 32,749 individuals from the National Dietary Survey of the Household Budget Survey 2008-2009 was analyzed by two food registries, as well as 44,744 subjects from two 24-hour recalls in 2017-2018. Usual intake and percentage of individuals with consumption below the average recommendation for calcium, magnesium, phosphorus, copper and zinc, vitamins A, C, D, E, thiamine, riboflavin, pyridoxine and cobalamin were estimated. Sodium intake was compared to the reference value to reduce the risk of chronic diseases. Analyses were stratified by sex, age group, region and income.

resultsMean daily energy intake was 1,753 kcal in 2008-2009 and 1,748 kcal in 2017-2018. The highest prevalence of inadequacy (> 50%) in the two periods were calcium; magnesium; vitamins A, D and E; pyridoxine and, only among adolescents, phosphorus. There was an increase in the prevalence of inadequate vitamin A, riboflavin, cobalamin, magnesium, and zinc among women, and riboflavin among men. The prevalence of inadequacy decreased for thiamine. Sodium intake was excessive in approximately 50% of the population in both periods. The highest variations (about 50%) in the prevalence of inadequacy between the lowest and highest income (< 0.5 minimum wage and > 2 minimum wages per capita) were observed for vitamin B12 and C in both periods. The North and Northeast regions had the highest prevalence of inadequacy.

conclusionBoth surveys found high prevalence of inadequate nutrient intake and excessive sodium intake. The inadequacy varies according to income strata, increasing in the poorest regions of the country.

Indexed as

EatingEnergy IntakeAdolescentBrazilDietDiet SurveysFemaleHumansMaleMicronutrientsNutritional RequirementsMicronutrients

Identifiers

PMID34910054
PMCPMC9586436
OpenAlexW3216676564

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.