Evidence map›Paper›PMID 33109278›Full record

ArticlePublic health nutrition2021

Nutrient density and affordability of foods in Brazil by food group and degree of processing.

Kennya Beatriz Siqueira, Cristiano Av Borges, Mirella L Binoti, Amanda F Pilati, Paulo Hf da Silva, Shilpi Gupta, Adam Drewnowski

Abstract read
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Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers 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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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

7 citing papers in PubMed.

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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

7 authors.

Kennya Beatriz SiqueiraEmbrapa Dairy Cattle, Juiz de Fora, Rua Eugênio do Nascimento, 610, Juiz de Fora, MG, Brazil.
Cristiano Av BorgesEmbrapa Dairy Cattle, Juiz de Fora, Rua Eugênio do Nascimento, 610, Juiz de Fora, MG, Brazil.
Mirella L BinotiFederal University of Viçosa, Nutrition and Health Department, Viçosa, MG, Brazil.
Amanda F PilatiFederal University of Juiz de Fora, Nutrition Department, Rua José Lourenço Kelmer, Juiz de Fora, MG, Brazil.
Paulo Hf da SilvaFederal University of Juiz de Fora, Nutrition Department, Rua José Lourenço Kelmer, Juiz de Fora, MG, Brazil.
Shilpi GuptaCenter for Public Health Nutrition, University of Washington, Box 353410, Seattle, WA98195, USA.
Adam DrewnowskiCenter for Public Health Nutrition, University of Washington, Box 353410, Seattle, WA98195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAffordable nutrition refers to the relation between nutrient density of foods and their monetary cost. There are limited data on affordable nutrition in low- and middle-income countries. The present study aimed to develop a nutrient density score and nutrient affordability metrics for 377 most consumed foods in Brazil.

designThe foods were aggregated into seven major food groups and four NOVA food categories. Nutrient composition data were obtained from the Brazilian Institute of Geography and Statistics. Food prices were obtained from retailer websites and were converted to prices per 100 g and 418 kJ. The Nutrient Rich Food (NRF8.2) score was based on protein, fiber, vitamins A, C and E, Ca, Fe and K. Nutrients to limit were sugar and Na. Affordability was measured as kcal/R$ and nutrients/R$.

resultsGrains, fats and sweets were more energy dense and had lower NRF8.2 scores than dairy, vegetables and fruits. Grains, fats and sweets were the lowest cost sources of energy. Vegetables and fruits, beans, nuts and seeds and eggs and dairy were the lowest cost sources of multiple nutrients. Ultra-processed foods (48 % of total) had higher energy density and lower NRF8.2 scores than did unprocessed foods. In Brazil, fruits, vegetables and dairy products offered the most nutrients per real.

conclusionsAnalysis of the relationship between nutrient density of foods and their cost can help identify locally available foods that are nutrient rich, affordable and culturally acceptable. Achieving high nutrient density at an affordable cost should be the goal of Brazil's food systems.

Indexed as

DietEnergy IntakeBrazilCosts and Cost AnalysisHumansNutrientsNutritive ValueVegetablesNutrientsAffordabilityBrazilFood priceNRF8.2Nutrient-rich food indexUltra-processed

Identifiers

PMID33109278
PMCPMC10195327

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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.