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Nutrient density and affordability of foods in Brazil by food group and degree of processing.
Siqueira, Kennya Beatriz; Borges, Cristiano Av; Binoti, Mirella L; Pilati, Amanda F; da Silva, Paulo Hf; Gupta, Shilpi; Drewnowski, Adam.
Afiliação
  • Siqueira KB; Embrapa Dairy Cattle, Juiz de Fora, Rua Eugênio do Nascimento, 610, Juiz de Fora, MG, Brazil.
  • Borges CA; Embrapa Dairy Cattle, Juiz de Fora, Rua Eugênio do Nascimento, 610, Juiz de Fora, MG, Brazil.
  • Binoti ML; Federal University of Viçosa, Nutrition and Health Department, Viçosa, MG, Brazil.
  • Pilati AF; Federal University of Juiz de Fora, Nutrition Department, Rua José Lourenço Kelmer, Juiz de Fora, MG, Brazil.
  • da Silva PH; Federal University of Juiz de Fora, Nutrition Department, Rua José Lourenço Kelmer, Juiz de Fora, MG, Brazil.
  • Gupta S; Center for Public Health Nutrition, University of Washington, Box 353410, Seattle, WA98195, USA.
  • Drewnowski A; Center for Public Health Nutrition, University of Washington, Box 353410, Seattle, WA98195, USA.
Public Health Nutr ; 24(14): 4564-4571, 2021 10.
Article em En | MEDLINE | ID: mdl-33109278
ABSTRACT

OBJECTIVE:

Affordable 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.

DESIGN:

The 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$.

RESULTS:

Grains, 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.

CONCLUSIONS:

Analysis 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Dieta Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Public Health Nutr Assunto da revista: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Dieta Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Public Health Nutr Assunto da revista: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil