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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Knowledge of the NOVA food classification in a sample of Brazilian adults

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Autor(es):
Menegassim, Bruna [1] ; Scagliusi, Fernanda Baeza [2] ; Nardocci, Milena [3] ; Moubarac, Jean-Claude [2, 4]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Fed Univ Grande Dourados, Fac Hlth Sci, Rodovia Dourados Itanhum, Km 12, Caixa Postal 364, BR-79804970 Dourados, MS - Brazil
[2] Univ Sao Paulo, Dept Nutr, Sch Publ Hlth, Av Dr Arnaldo 715, BR-01246904 Sao Paulo - Brazil
[3] Univ Montreal, Sch Publ Hlth, 7101 Pk Ave, Montreal, PQ H3N 1X9 - Canada
[4] Univ Montreal, Dept Nutr, 2405 Chemin Cote St Catherine, Local 1248, Montreal, PQ H3T 1A8 - Canada
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: Rev. chil. nutr.; v. 47, n. 6, p. 950-959, DEC 2020.
Citações Web of Science: 0
Resumo

ABSTRACT The NOVA classification categorizes foods according to the extent of industrial processing. NOVA has been used in dietary guidelines of some countries including Brazil and Uruguay. This article aimed to investigate knowledge and perceptions of a sample of Brazilian adults regarding NOVA. A qualitative study was conducted in Dourados city, Mato Grosso do Sul, Brazil. First, participants (N= 24) were asked to classify a series of 24 pictures of foods and beverages using NOVA, which define the four major food groups: unprocessed or minimally processed foods; processed culinary ingredients; processed foods; and ultra-processed foods. Next, participants were asked to explain their classification through semi-structured interviews. Data from the classification activity were analyzed using non-metric multidimensional scaling and interviews using exploratory content analysis and summative content analysis. Participants seemed to understand NOVA in terms of food processing, food production, and additives used. They easily identified unprocessed or minimally processed foods and ultra-processed foods; processed culinary ingredients and processed foods were harder to identify. Professionals, researchers and government organisations in Brazil or abroad could consider the results of this study in order to optimize this tool's potential for research and policy in nutrition and public health. (AU)

Processo FAPESP: 17/17424-9 - Saúde e Bem-Estar na Obesidade: avaliação de uma intervenção interdisciplinar baseada na abordagem 'Health at every size' para mulheres obesas
Beneficiário:Fernanda Baeza Scagliusi
Modalidade de apoio: Bolsas no Exterior - Pesquisa