Diverse Food Items Are Similarly Categorized by 8- to 13-year-old Children

Abstract

Medicine, 1100 Bates Street, Houston, TX 77030, USA. Phone: 713-798-7103, Fax: 713-798-7098, kwatson@bcm Medicine, 1100 Bates Street, Houston, TX 77030, USA. Phone: 713-798-6762, Fax: 713-798-7098, tbaranow@bcm.tmc Medicine, 1100 Bates Street, Houston, TX 77030, USA. Phone: 713-798-6763, Fax: 713-798-7098, jbaranow@bcm.tmc Medicine, 1100 Bates Street, Houston, TX 77030, USA. Phone: 713-798-7037, Fax: 713-798-7098, nislam@bcm.tmcPublisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. MAIN OUTCOME MEASURES-Sorting of food items into common groupings and their names. NIH Public AccessAuthor Manuscript J Nutr Educ Behav. Author manuscript; available in PMC 2009 May 1. ANALYSES-Robinson matrices for identification of clusters of food items.RESULTS-Children created on average 11.1 (± 4.4) piles with 5.4 (±4.9) cards per pile. Robinson matrix clusters captured 92.4% of the variance in the sorting of food cards. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics. The label names provided by the children were most frequently categorized as "Taxonomic-Professional" (42.5%), such as meat, fruit and drinks, or "Script" (26.4%), like breakfast food, desserts and snacks.CONCLUSION AND IMPLICATIONS-Children categorized foods into similar clusters, but used diverse names to label them. These categories may be used to facilitate food search for researchers in a computerized 24-hour dietary recall for children in this age group.

Need for Technological Innovation in Dietary Assessment

“…In addition, four recently funded GEI projects are advancing technology for dietary assessment. The FIRSSt (version 4) (42–46) will adapt the ASA24 for use by children. The Mobile Phone Food Record (mpFR) project (47,48) will integrate the currently available technology in mobile phones with image processing, visualization, and a nutrient database and custom software for the purpose of allowing a participant to “record” foods eaten in real time.…”

The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study

“…7,8 For children, having child-generated food categories, 9-11 pictures of foods, 12 and different sizes of food images on the same screen 13 may help improve recall speed and/or accuracy. 14 Examples of computerized 24hDRs include the Food Intake Recording Software System (FIRSST), 15,16 the Young Adolescents’ Nutrition Assessment on Computer (YANA-C), 8,17,18 and the Automated Self-Administered 24-hour Dietary Recall for children (ASA24-Kids).…”

Comparison of a Web-Based versus Traditional Diet Recall among Children

“…Useful skills for successfully self-completing a 24 HDR is the identification of foods consumed by “browsing” among hierarchically organized food groups or by “searching” (typing in food names). Among eight to 13 year old children, child versus adult-generated food categories (9-12) enabled speedier, but not more accurate, categorization of foods (13). A graphically appealing browse procedure called “cover-flow” (i.e.…”