How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages-A Card Sorting Methodology

Int J Environ Res Public Health. 2023 Jan 11;20(2):1296. doi: 10.3390/ijerph20021296.

Abstract

This study examined how Brazilian schoolchildren identified, classified, and labeled foods and beverages. Semi-structured interviews were conducted with 133 schoolchildren aged 7 to 10 years old from a public school located in southern Brazil in 2015. A set of cards with pictures of 32 food and beverage items from the web-based Food Intake and Physical Activity of Schoolchildren tool (Web-CAAFE) were used. Participants identified each item, formed groups for them based on similarity, and assigned labels for those groups. Student's t-tests and analysis of variance (ANOVA) tests were used to verify the mean difference between the groups of items. K-means cluster analysis was applied to identify similar clusters. Schoolchildren made an average of 9.1 piles of foods and beverages that they thought were similar (±2.4) with 3.0 cards (±1.8) each. Five groups were identified: meats, snacks and pasta, sweets, milk and dairy products, and fruits and vegetables. The most frequently used nomenclature for labeling groups was taxonomic-professional (47.4%), followed by the specific food item name (16.4%), do not know/not sure (13.3%), and evaluative (health perception) (8.8%). The taxonomic-professional category could be applied to promote improvements in the identification process of food and beverage items by children in self-reported computerized dietary questionnaires.

Keywords: cluster analysis; food categorization; online questionnaire; schoolchildren; semi-structured interviews.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Beverages*
  • Brazil
  • Child
  • Feeding Behavior
  • Fruit*
  • Humans
  • Vegetables

Grants and funding

This research was funded by Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES), grant number (8882.438755/2019-01, L.J.P.).