How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages-A Card Sorting Methodology
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 beve...
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| Veröffentlicht in: | International journal of environmental research and public health 2023-01, Vol.20 (2), p.1296 |
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| creator | Pereira, Luciana Jeremias Lopes, Clarice Perucchi Martins, Mayara Lopes de Fragas Hinnig, Patrícia Di Pietro, Patricia Faria de Moura Araujo, Pedro Henrique de Andrade, Dalton Francisco De Assis, Maria Alice Altenburg Vieira, Francilene Gracieli Kunradi |
| description | 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
-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. |
| doi_str_mv | 10.3390/ijerph20021296 |
| format | Article |
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-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%). 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| subjects | Age Beverages Brazil Cards Child Cognition & reasoning Cognitive ability Consent Dairy products Design Feeding Behavior Food Food intake Food processing Fruit Fruits Humans Investigations Labels Meals Milk Overweight Participation Physical activity Questionnaires Reproducibility Taxonomy Usability Variance analysis Vegetables |
| title | How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages-A Card Sorting Methodology |
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