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This study assessed how 8- to 13-year-old children categorized and labeled grain foods and how these categories and labels were influenced by child characteristics. The main hypotheses were that children categorized foods in consistent ways and these food categories differed from the professional food categories. A set of 71 cards with pictures and names of grain foods from eight professionally defined food groups was sorted by each child into piles of similar foods. There were 149 8- to 13-year-old children (133 English-speaking, 16 Spanish-speaking) in this exploratory study. One-way analysis of variance and Robinson matrices for identification of clusters of food items were calculated. Children created a mean (+/-standard deviation) of 8.3+/-3.8 piles with 8.6+/-9.1 cards per pile. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics. For the majority of the piles, children provided "taxonomic-professional" (34.5%) labels, such as bread for the professional category of breads, rolls, and tortillas, or "script" (26.1%) labels, such as breakfast for the professional category of pancakes, waffles, and flapjacks. These categories may be used to facilitate food search in a computerized 24-hour dietary recall for children in this age group.

Objective: Assess how 8- to 13-year-old children categorized and labeled food items for possible use as part of a food search strategy in a computerized 24-hour dietary recall., Design: A set of 62 cards with pictures and names of food items from 18 professionally defined food groups was sorted by each child into piles of similar food items., Setting: Participants attended the Children's Nutrition Research Center in the summer 2006., Participants: 148 8- to 13-year-old children (132 English speaking, 16 primarily Spanish speaking)., Main Outcome Measures: Sorting of food items into common groupings and their names., 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%), such as breakfast food, desserts, and snacks., Conclusion and Implications: Children categorized food items 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.

Food search in a computerized 24h dietary recall (24hdr) for children should be easiest when the categories reflect children's categorization of foods, in contrast to professional categories. This study assessed how 8-13 year old children categorized and labeled mixed foods (e.g. fried rice, lasagna), and how these were influenced by child characteristics. A set of 48 cards with pictures and names of mixed foods from 14 professionally defined food groups was sorted by each child into piles of similar foods. Participants (n=146), including 8-13 year old 130 English speaking, and 16 Spanish speaking children, attended data collection in the summer, 2006. One way ANOVA, pairwise comparisons and Robinson matrices for identification of clusters were used. Children created an average of 10.5 (+/-5.5) piles with 6.0 (+/-4.1) cards per pile. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics, body mass index, or 6-n-propylthiouracil sensitivity. For the majority of the piles, children provided "taxonomic-professional" (26.0%) labels, such as vegetables, sandwiches and drinks, or "specific-food item" (23.0%) labels, i.e. the name of the food. These categories may be used to facilitate mixed food search in a computerized 24hdr for children in this age group.

Objective: To characterize food group purchases from grocery receipts., Methods: Food shoppers (aged>or=19 years with at least one child aged