How to Create a Student-Generated Database, in a Large Nutrition Class, to Illustrate the Analysis of Nutrient and Food Intakes

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• 作者：Debbie M. Gurfinkel and Thomas M. S. Wolever
• 刊名：Journal of Food Science Education
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：16
• 期：1
• 页码：6-9
• 全文大小：102K
• ISSN：1541-4329

文摘

The completion of a 3-d food record, using commonly available nutrient analysis software, is a typical assignment for students in nutrition and food science programs. While these assignments help students evaluate their personal diets, it is insufficient to teach students about surveys of large population cohorts. This paper shows how the Test, Survey, and Pools tool in the learning management system Blackboard™ (Blackboard Inc.) was used to collect the individual food and nutrition intake data from the 3-d food records of students in a large introductory nutrition class. This student-generated database was then used to illustrate population level analyses. Examples of the types of analyses include (a) use of the Estimated Average Requirement cut point method to identify nutrients of concern; (b) the use of food intakes to determine the proportion of students consuming the recommended servings of foods from each food group; (c) the analysis of intakes of nutrients that are overconsumed such as salt, saturated fat, and trans fat; and (d) correlations between macronutrients (for example, as fat intake increases, carbohydrate intake decreases). The use of a database, derived from the students own food intakes, connects with student interests, and the analysis of such a database illustrates an authentic task in the nutritional sciences.