Beltran Alicia, Knight Sepulveda Karina, Watson Kathy, Baranowski Tom, Baranowski Janice, Islam Noemi, Missaghian Mariam
Department of Pediatrics, Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas 77030, USA.
J Nutr Educ Behav. 2008 May-Jun;40(3):149-59. doi: 10.1016/j.jneb.2008.01.002.
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.
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.
Participants attended the Children's Nutrition Research Center in the summer 2006.
148 8- to 13-year-old children (132 English speaking, 16 primarily Spanish speaking).
Sorting of food items into common groupings and their names.
Robinson matrices for identification of clusters of food items.
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.
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.
评估8至13岁儿童如何对食物项目进行分类和标注,以便在计算机化的24小时饮食回顾中作为食物搜索策略的一部分使用。
一组62张卡片,上面有来自18个专业定义食物组的食物图片和名称,每个孩子将其分类成类似食物项目的堆。
参与者于2006年夏天参加儿童营养研究中心。
148名8至13岁儿童(132名说英语,16名主要说西班牙语)。
将食物项目分类成常见类别及其名称。
用于识别食物项目集群的罗宾逊矩阵。
孩子们平均创建了11.1(±4.4)堆,每堆有5.4(±4.9)张卡片。罗宾逊矩阵集群捕捉到了食物卡片分类中92.4%的差异。在各人口统计学特征的子类别中,未检测到罗宾逊聚类的实质性差异。孩子们提供的标签名称最常被分类为“分类学-专业”(42.5%),如肉类、水果和饮料;或“描述性”(26.4%),如早餐食品、甜点和小吃。
孩子们将食物项目分类成相似的集群,但使用不同的名称来标注它们。这些类别可用于帮助研究人员在针对该年龄组儿童的计算机化24小时饮食回顾中进行食物搜索。