title: Assessment of perceptions of nutrition knowledge and disease using a group interactive system: the Perception Analyzer.
abstract: Food labels can be used as a tool for nutrition education, but the information available is of little value to consumers who do not understand how to apply it. In an effort to assess nutrition knowledge and identify misconceptions, a group interactive system--the Perception Analyzer--was used as a lecture aid and data collection tool. The Perception Analyzer is composed of a laptop computer, an antenna, and handheld electronic handsets, or dials, that participants use to answer questions. Participants (N = 621) were surveyed on 14 multiple-choice questions concerning nutrition with 4 nutrition questions repeated at the end of a session as a posttest. A knowledge score was calculated by counting correct answers. Linear regression analyses were used to study the main effects of demographic variables on the knowledge score. Our study reports the following: although participants reported reading food labels, nrisconceptions about label content were identified; analyses of mean scores indicated that age, education, and race influenced the nutrition knowledge score; and participants found the Perception Analyzer to be enjoyable. The findings indicate that because the Perception Analyzer provides immediate and anonymous feedback to a discussion leader about audience's current knowledge, it is a promising tool for nutrition education by dietetic practitioners.
authors.affiliation: Department of Foods and Nutrition, University of Georgia, Athens 30602-3622, USA. apapas@arches.uga.edu
authors.forename: Emilia
authors.initials: E
authors.lastname: Papakonstantinou
authors.forename: James L
authors.initials: JL
authors.lastname: Hargrove
authors.forename: Chung-Liang
authors.initials: CL
authors.lastname: Huang
authors.forename: Connie C
authors.initials: CC
authors.lastname: Crawley
authors.forename: Nancy L
authors.initials: NL
authors.lastname: Canolty
mesh_terms: D000293:Adolescent; D000328:Adult; D001741:Black or African American; D003194:Computer-Assisted Instruction; D004522:Educational Status; D005260:Female; D005515:Food Labeling / Q000706:statistics & numerical data; D006801:Humans; D019359:Knowledge; D016014:Linear Models; D008297:Male; D008838:Microcomputers; D008875:Middle Aged; D052756:Nutritional Sciences / Q000193:education / Q000208:ethnology; D010465:Perception; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires / Q000592:standards; D044465:White People