Suppr超能文献

使用两种与儿童浏览的方法,对食物进行儿童类别与专业类别分类的准确性和速度测试。

Tests of the accuracy and speed of categorizing foods into child vs professional categories using two methods of browsing with children.

作者信息

Baranowski Tom, Beltran Alicia, Martin Shelby, Watson Kathleen B, Islam Noemi, Robertson Shay, Berno Stephanie, Dadabhoy Hafza, Thompson Debbe, Cullen Karen, Buday Richard, Subar Amy F, Baranowski Janice

机构信息

US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX 77030-2600, USA.

出版信息

J Am Diet Assoc. 2010 Jan;110(1):91-4. doi: 10.1016/j.jada.2009.10.006.

Abstract

This research tested whether children could categorize foods more accurately and speedily when presented with child-generated rather than professionally generated food categories, and whether a graphically appealing browse procedure similar to the Apple iTunes (Cupertino, CA) "cover flow" graphical user interface accomplished this better than the more common tree-view structure. In Fall 2008, 104 multiethnic children ages 8 to 13 were recruited at the Baylor College of Medicine (Houston, TX) and randomly assigned to two browse procedures: cover flow (collages of foods in a category) or tree view (food categories in a list). Within each browse condition children categorized the same randomly ordered 26 diverse foods to both child and professionally organized categories (with method randomly sequenced per child). Acceptance of categorization was determined by registered dietitians. Speed of categorization was recorded by the computer. Differences between methods were determined by repeated measures analysis of variance. Younger children (8 to 9 years old) tended to have lower acceptance and longer speeds of categorization. The quickest categorization was obtained with child categories in a tree structure. Computerized dietary reporting by children can use child-generated food categories and tree structures to organize foods for browsing in a hierarchically organized structure to enhance speed of categorization, but not accuracy. A computerized recall may not be appropriate for children 9 years of age or younger.

摘要

本研究测试了在向儿童呈现由他们自己生成而非专业生成的食物类别时,他们是否能够更准确、快速地对食物进行分类;以及一种类似于苹果iTunes(加利福尼亚州库比蒂诺)“封面流”图形用户界面的具有视觉吸引力的浏览程序,在这方面是否比更常见的树形视图结构表现更好。2008年秋季,在贝勒医学院(得克萨斯州休斯顿)招募了104名8至13岁的多民族儿童,并将他们随机分配到两种浏览程序中:封面流(某一类别中食物的拼贴画)或树形视图(列表中的食物类别)。在每种浏览条件下,儿童要将相同的26种随机排序的不同食物分别归类到儿童自己组织的类别和专业组织的类别中(每个儿童的方法随机排序)。分类的可接受性由注册营养师确定。分类速度由计算机记录。通过重复测量方差分析来确定不同方法之间的差异。年龄较小的儿童(8至9岁)往往具有较低的可接受性和较长的分类时间。在树形结构中使用儿童自己生成的类别时,分类速度最快。儿童的计算机化饮食报告可以使用儿童生成的食物类别和树形结构,以分层组织结构来整理食物以便浏览,从而提高分类速度,但不能提高准确性。计算机化回忆可能不适用于9岁及以下的儿童。

相似文献

2
Mixed foods are similarly categorized by 8-13 year old children.
Appetite. 2008 Mar-May;50(2-3):316-24. doi: 10.1016/j.appet.2007.08.008. Epub 2007 Sep 2.
3
Grains are similarly categorized by 8- to 13-year-old children.
J Am Diet Assoc. 2008 Nov;108(11):1921-6. doi: 10.1016/j.jada.2008.08.003.
4
Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability.
J Acad Nutr Diet. 2018 Nov;118(11):2144-2153. doi: 10.1016/j.jand.2018.05.013. Epub 2018 Aug 13.
6
Diverse food items are similarly categorized by 8- to 13-year-old children.
J Nutr Educ Behav. 2008 May-Jun;40(3):149-59. doi: 10.1016/j.jneb.2008.01.002.
8
Fruit and vegetables are similarly categorised by 8-13-year-old children.
Public Health Nutr. 2009 Feb;12(2):175-87. doi: 10.1017/S1368980008002516. Epub 2008 Jun 19.
9
An apple is more than just a fruit: cross-classification in children's concepts.
Child Dev. 2003 Nov-Dec;74(6):1783-806. doi: 10.1046/j.1467-8624.2003.00638.x.
10
Reducing the cost of dietary assessment: self-completed recall and analysis of nutrition for use with children (SCRAN24).
J Hum Nutr Diet. 2014 Jan;27 Suppl 1:26-35. doi: 10.1111/jhn.12108. Epub 2013 May 11.

引用本文的文献

1
How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages-A Card Sorting Methodology.
Int J Environ Res Public Health. 2023 Jan 11;20(2):1296. doi: 10.3390/ijerph20021296.
2
Advances and Controversies in Diet and Physical Activity Measurement in Youth.
Am J Prev Med. 2018 Oct;55(4):e81-e91. doi: 10.1016/j.amepre.2018.06.012. Epub 2018 Aug 19.
3
The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study.
J Acad Nutr Diet. 2015 Oct;115(10):1591-8. doi: 10.1016/j.jand.2015.02.021. Epub 2015 Apr 14.
5
Comparison of a Web-based versus traditional diet recall among children.
J Acad Nutr Diet. 2012 Apr;112(4):527-32. doi: 10.1016/j.jada.2011.10.002. Epub 2012 Feb 1.
7
Food Intake Recording Software System, version 4 (FIRSSt4): a self-completed 24-h dietary recall for children.
J Hum Nutr Diet. 2014 Jan;27 Suppl 1(0 1):66-71. doi: 10.1111/j.1365-277X.2012.01251.x. Epub 2012 May 23.
9
Need for technological innovation in dietary assessment.
J Am Diet Assoc. 2010 Jan;110(1):48-51. doi: 10.1016/j.jada.2009.10.008.

本文引用的文献

1
Grains are similarly categorized by 8- to 13-year-old children.
J Am Diet Assoc. 2008 Nov;108(11):1921-6. doi: 10.1016/j.jada.2008.08.003.
2
Diverse food items are similarly categorized by 8- to 13-year-old children.
J Nutr Educ Behav. 2008 May-Jun;40(3):149-59. doi: 10.1016/j.jneb.2008.01.002.
3
Mixed foods are similarly categorized by 8-13 year old children.
Appetite. 2008 Mar-May;50(2-3):316-24. doi: 10.1016/j.appet.2007.08.008. Epub 2007 Sep 2.
4
Formative research of a quick list for an automated self-administered 24-hour dietary recall.
J Am Diet Assoc. 2007 Jun;107(6):1002-7. doi: 10.1016/j.jada.2007.03.007.
6
The food intake recording software system is valid among fourth-grade children.
J Am Diet Assoc. 2002 Mar;102(3):380-5. doi: 10.1016/s0002-8223(02)90088-x.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验