Data

Year of publication

2019

Type

Qualitative

Design

Cross-sectional

Classification

NOVA

Country studied

Brazil

Data

Primary

Data Collected

Other (semi-structured interviews)

Study setting

Brazil

Age group of participant

Adults/Mean = 30 ± 9.4

Participant sex

Mixed

Target population

General

Sample size

n=24 (participants)

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

Goal

Have an exploratory insight on how a sample of Brazilian adults classify food, attempting toidentify the main factors involved in this process, and to compare these classifications to the NOVAf ood classification (the official food classi-fication of the 2014 Brazilian dietary guidelines).

Results

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 were food groups, nutrients, foods I consume, foods I do not consume, and food processing.Contrasting themes such as real food and junk foods,meals and ready-made foods,healthy foods and unhealthy foods were also noted. Six clusters emerged from the cluster analysis, each related to one or more themes. Overall, a striking similarity was observed between the ways the individuals classified food and the NOVA food classification.

Authors

Menegassi B, de Morais Sato P, Scagliusi FB, Moubarac J-C.

Journal

Appetite

DOI