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Comparing the ways a sample of Brazilian adults classify food with the NOVA food classification An exploratory insight

Bruna Menegassi Priscila de Morais Sato; Fernanda Baeza Scagliusi; Jean Claude Moubarac

Appetite London v.137, p.226-235, 2019

London 2019

Available at FSP - Faculdade de Saúde Pública    (HNT-28/2019 )(GetIt)

  • Title:
    Comparing the ways a sample of Brazilian adults classify food with the NOVA food classification An exploratory insight
  • Author: Bruna Menegassi
  • Priscila de Morais Sato; Fernanda Baeza Scagliusi; Jean Claude Moubarac
  • Subjects: ALIMENTAÇÃO; CLASSIFICAÇÃO; COMPORTAMENTO ALIMENTAR; PESQUISA QUALITATIVA
  • Is Part Of: Appetite London v.137, p.226-235, 2019
  • Notes: Disponível em: <https://doi.org/10.1016/j.appet.2019.03.010>. Acesso em: 21 jan. 2020
  • Description: The aim of this study is to have an exploratory insight on how a sample of Brazilian adults classify food, at-tempting to identify the main factors involved in this process, and to compare these classifications to theNOVAfood classification of the 2014 Brazilian dietary guidelines. An exploratory and qualitative approach was con-ducted with a selected sample of teachers, administrative technicians, and students (N = 24) from the FederalUniversity of Grande Dourados, Brazil. First, using the pile sort method, participants were asked to freely classify24 pictures of food (sourced from examples of the four food groups specified inNOVA) into food groupsmeaningful to them. Next, in semi-structured interviews, participants were asked to describe the food groupsthey created. The food groups created by participants were analyzed using non-metric multidimensional scalingfollowed by hierarchical cluster analysis, and the interviews were analyzed using content analysis. Participantshad a mean age of 30 ( ± 9.4) years. A total of 128 food groups were created by 24 participants (an average offive food groups per person); and a total of 55 non-mutually exclusive groups names were used by them todescribe these food groups. Sixteen themes emerged from the content analysis. The most recurrent themes werefood groups,nutrients,foods I consume,foods I do not consume, andfood processing.Contrasting themes such asrealfoodandjunk foods,mealsandready-made foods,healthy foodsandunhealthy foodswere also noted. Six clustersemerged from the cluster analysis, each related to one or more themes. Overall, a striking similarity was ob-served between the ways the individuals classified food and theNOVAfood classification
  • Publisher: London
  • Creation Date: 2019
  • Format: p. 226-235.
  • Language: English
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