Evidence map›Paper›PMID 41400912›Full record

ArticleJournal of racial and ethnic health disparities2025

Temporal Trends in Markers of Nutritional Status and Food Consumption in Riverside Communities in Brazil.

Greyceanne Cecília Dutra Brito, Brena Barreto Barbosa, Marcelo José Monteiro Ferreira, Lia Silveira Adriano, Larissa Loures Mendes, Antonio Augusto Ferreira Carioca

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Article in Journal of racial and ethnic health disparities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Greyceanne Cecília Dutra BritoPostgraduate Program in Public Health, Federal University of Ceará, Fortaleza, Ceara, Brazil.ORCID http://orcid.org/0009-0008-3645-5214
Brena Barreto BarbosaHealth Sciences Center, University of Fortaleza, Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0000-0002-1536-614X
Marcelo José Monteiro FerreiraPostgraduate Program in Public Health, Federal University of Ceará, Fortaleza, Ceara, Brazil.ORCID https://orcid.org/0000-0001-5187-4195
Lia Silveira AdrianoHealth Sciences Center, University of Fortaleza, Fortaleza, Ceará, Brazil.ORCID http://orcid.org/0000-0002-7329-6178
Larissa Loures MendesPostgraduate Program in Nutrition and Health, Department of Nutrition, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-0776-6845
Antonio Augusto Ferreira CariocaPostgraduate Program in Public Health, University of Fortaleza, Fortaleza, Ceara, Brazil.ORCID http://orcid.org/0000-0002-1194-562X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed the temporal trends in nutritional status markers (2008 to 2023) and food consumption markers (2015 to 2023) in riverside communities in Brazil using data from the Food and Nutrition Surveillance System (SISVAN). This is a time series study, based on secondary data available on the SISVAN online platform, concerning the period from 2008 to 2023 for anthropometry and from 2015 to 2023 for food consumption, using the Brazilian riverside population as the analysed community. The Prais-Winsten regression model was used for the analysis, with p-value < 0.05 considered significant. An increase in anthropometry records was registered, as well as reductions in low height for age in children and adolescents, thinness in children aged 5 to 9 years, and being underweight in adults and the elderly. There was an increase in being overweight among adolescents and the elderly, and obesity among adults and the elderly. The consumption of beans, greens and vegetables increased among adults, and with greens and vegetables among the elderly. There was an increase in the consumption of hamburgers and sausages among children aged 5 to 9 years. The evidence from this study demonstrated that SISVAN is an important tool for monitoring the health of the population. Despite the decrease in malnutrition indicators, there was an increase in obesity in some age groups. Factors such as climate change, deforestation, and weak public policies have impacted the traditional dietary practices of riverside dwellers.

Indexed as

AmazonFood and nutrition surveillanceFood consumptionNutritional status indicatorsRiverside population

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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.