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

Author:

Pereira Luciana Jeremias,Lopes Clarice Perucchi,Martins Mayara LopesORCID,de Fragas Hinnig PatríciaORCID,Di Pietro Patricia FariaORCID,de Moura Araujo Pedro HenriqueORCID,de Andrade Dalton Francisco,De Assis Maria Alice AltenburgORCID,Vieira Francilene Gracieli KunradiORCID

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.

Funder

Coordination for the Improvement of Higher Education Personnel

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference41 articles.

1. Challenges Involved in Measuring Intake in Early Life: Focus on Methods;Foster;Proc. Nutr. Soc.,2014

2. How to Engage Children in Self-Administered Dietary Assessment Programmes;Lu;J. Hum. Nutr. Diet.,2014

3. Measurement of Dietary Intake in Children;Livingstone;Proc. Nutr. Soc.,2000

4. Dietary Assessment in Children and Adolescents: Issues and Recommendations;Nutr. Hosp.,2015

5. A Cognitive Model of Children’s Reporting of Food Intake;Baranowski;Am. J. Clin. Nutr.,1994

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