Presentation and interpretation of food intake data: factors affecting comparability across studies

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dc.date.accessioned 2013-10-08 en
dc.date.accessioned 2022-08-17T17:31:54Z
dc.date.available 2022-08-17T17:31:54Z
dc.date.issued 2015-08-25 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/2818
dc.description.abstract Non-uniform, unclear, or incomplete presentation of food intake data limits interpretation, usefulness, and comparisons across studies. In this contribution, we discuss factors affecting uniform reporting of food intake across studies. The amount of food eaten can be reported as mean portion size, number of servings or total amount of food consumed per day; the absolute intake value for the specific study depends on the denominator used because food intake data can be presented as per capita intake or for consumers only. To identify the foods mostly consumed, foods are reported and ranked according to total number of times consumed, number of consumers, total intake, or nutrient contribution by individual foods or food groups. Presentation of food intake data primarily depends on a study's aim; reported data thus often are not comparable across studies. Food intake data further depend on the dietary assessment methodology used and foods in the database consulted; and are influenced by the inherent limitations of all dietary assessments. Intake data can be presented as either single foods or as clearly defined food groups. Mixed dishes, reported as such or in terms of ingredients and items added during food preparation remain challenging. Comparable presentation of food consumption data is not always possible; presenting sufficient information will assist valid interpretation and optimal use of the presented data. A checklist was developed to strengthen the reporting of food intake data in science communication. en
dc.format.medium Print en
dc.subject FOOD AND BEVERAGE SECTOR en
dc.subject EATING BEHAVIOUR en
dc.subject NUTRITION en
dc.subject WEIGHT MANAGEMENT en
dc.title Presentation and interpretation of food intake data: factors affecting comparability across studies en
dc.type Journal Article en
dc.description.version Y en
dc.ProjectNumber N/A en
dc.Volume 29 en
dc.BudgetYear 2013/14 en
dc.ResearchGroup Population Health, Health Systems and Innovation en
dc.SourceTitle Nutrition en
dc.ArchiveNumber 7892 en
dc.PageNumber 1286-1292 en
dc.outputnumber 6541 en
dc.bibliographictitle Faber, M., Wenhold, F.A.M., MacIntyre, U.E., Wentzel-Viljoen, E., Steyn, N.P. & Oldewage-Theron, W.H. (2013) Presentation and interpretation of food intake data: factors affecting comparability across studies. Nutrition. 29:1286-1292. http://hdl.handle.net/20.500.11910/2818 en
dc.publicationyear 2013 en
dc.contributor.author1 Faber, M. en
dc.contributor.author2 Wenhold, F.A.M. en
dc.contributor.author3 MacIntyre, U.E. en
dc.contributor.author4 Wentzel-Viljoen, E. en
dc.contributor.author5 Steyn, N.P. en
dc.contributor.author6 Oldewage-Theron, W.H. en


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