ResearchResearch and Professional BriefTests of the Accuracy and Speed of Categorizing Foods into Child vs Professional Categories Using Two Methods of Browsing with Children
Section snippets
Design
In an experiment, children (n=104, both sexes, from the Houston, TX area) were randomly assigned to either the tree-view or cover-flow interfaces for displaying the two types of food categories (between-groups factor). All children categorized 26 commonly consumed foods (as determined from National Health and Nutrition Examination Survey data for children this age) twice, once into child- and again into professionally generated categories with the sequence randomly assigned (within-groups
Results and Discussion
The sample (n=104) was split evenly by sex. Nearly one fourth of the sample was black (23%) or Hispanic (29%) and less than one half (43%) was white. The remaining 5% self-identified as “other” race/ethnicity. Nearly one-half (49%) of participants came from homes with an annual household income ≥$70,000 and most participants (70%) were from homes in which a parent/guardian had a college degree. Age groups were reasonably evenly divided with 39%, 30%, and 31% ages 8 and 9 years, 10 to 11 years,
Conclusion
Accuracy of children's food categorization into hierarchically organized groups was not clearly aided by using child-derived categories or a graphically appealing browse procedure (cover flow). Alternatively, speed of categorization was substantially facilitated by child categories and tree-view browse structure. Tree view with child categories appears to be the preferred method of browsing for this computerized diet assessment program. Children younger than 10 years may have more difficulty
T. Baranowski is professor of pediatrics at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
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Cited by (17)
Advances and Controversies in Diet and Physical Activity Measurement in Youth
2018, American Journal of Preventive MedicineCitation Excerpt :Despite prompts for data entry, which commonly range from two to seven per day in published studies,18–20 compliance rates with EMA methods for dietary assessment over time have varied. The percentage of answered prompts per day in one 7-day study steadily decreased from 63% (day 1) to 23% (day 7),20 whereas in another 7-day study, 71% of random prompts were completed.43 EMA-assessed DI, compared with 24-hour dietary recalls, demonstrated concordance ranging from 66% to 90%, depending on food type.19
A Validation Study of the Automated Self-Administered 24-Hour Dietary Recall for Children, 2014 Version, at School Lunch
2017, Journal of the Academy of Nutrition and DieteticsCitation Excerpt :ASA24 Kids-2014 quantifies respondents’ intake of each meal component using the US Department of Agriculture’s Food and Nutrient Database for Dietary Surveys, version 4.1,23 and the MyPyramid Equivalents Database.24 The measure’s format incorporates empirically derived features to facilitate use by children.25,26 It is available in both English and Spanish.
The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study
2015, Journal of the Academy of Nutrition and DieteticsThe Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Resource for Researchers, Clinicians, and Educators from the National Cancer Institute
2012, Journal of the Academy of Nutrition and DieteticsComparison of a Web-Based versus Traditional Diet Recall among Children
2012, Journal of the Academy of Nutrition and DieteticsCitation Excerpt :The interviewer-administered 24-hour diet recall was used as the criterion because the dietetics practitioner could help the child stay on task, explain the probes, and otherwise be responsive to the child and his or her way of reporting. The inclusionary criteria were being a child 8 to 13 years old (because 8 is an age when children have experienced difficulties in dietary recall and 13-year-olds seem to respond similarly to adults [13]); and being able to speak, read, and write English. This study was conducted with 8- to 13-year-old children to determine whether there is an age at which it was more difficult to use ASA24 specifically and/or whether there is an age at which greater discrepancies in reporting occurred between ASA24 and an interviewer-administered recall.
Need for Technological Innovation in Dietary Assessment
2010, Journal of the American Dietetic AssociationCitation Excerpt :In addition, four recently funded GEI projects are advancing technology for dietary assessment. The FIRSSt (version 4) (46-50) will adapt the ASA24 for use by children. The Mobile Phone Food Record project (51,52) 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.
T. Baranowski is professor of pediatrics at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
A. Beltran is research dietitian at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
S. Martin is research dietitian at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
S. Robertson is research dietitian at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
H. Dadabhoy is research dietitian at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
K. B. Watson is an instructor at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
N. Islam is nutritionist II at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
S. Berno is nutritionist II at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
K. Cullen is an associate professor at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
D. Thompson is US Department of Agriculture, Agricultural Research Service scientist/nutritionist and assistant professor of pediatrics, Houston TX.
J. Baranowski is assistant professor at the US Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center and the Department of Pediatrics, Baylor College of Medicine, Houston TX.
R. Buday is president, Archimage, Inc, Houston TX.
A. F. Subar is research nutritionist, National Cancer Institute, Division of Cancer Control and Population Sciences, Applied Research Program, Risk Factor Monitoring and Methods Branch, Bethesda, MD.