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Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies

Item Type:Article
Title:Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies
Creators Name:Freese, J. and Feller, S. and Harttig, U. and Kleiser, C. and Linseisen, J. and Fischer, B. and Leitzmann, M.F. and Six-Merker, J. and Michels, K.B. and Nimptsch, K. and Steinbrecher, A. and Pischon, T. and Heuer, T. and Hoffmann, I. and Jacobs, G. and Boeing, H. and Nöthlings, U.
Abstract:Background/Objectives: The validity of dietary assessment in large-scale cohort studies has been questioned. Combining data sources for the estimation of usual intake in a blended approach may enhance the validity of dietary measurement. Our objective was to develop a web-based 24-h food list for Germany to identify foods consumed during the previous 24 h and to evaluate the performance of the new questionnaire in a feasibility study. Subjects/Methods: Available data from the German National Nutrition Survey II were used to develop a finite list of food items. A total of 508 individuals were invited to fill in the 24-h food list via the Internet up to three times during a 3-6-month time period. In addition, participants were asked to evaluate the questionnaire using a brief online evaluation form. Results: In total, 246 food items were identified for the 24-h food list, reflecting >75% variation in intake of 27 nutrients and four major food groups. Among the individuals invited, 64% participated in the feasibility study. Of these, 100%, 85% and 68% of participants completed the 24-h food list one, two or three times, respectively. The average time needed to complete the questionnaire was 9 min, and its acceptability by participants was rated as high. Conclusions: The 24-h food list represents a promising new dietary assessment tool that can be used as part of a blended approach combining multiple data sources for valid estimation of usual dietary intake in large-scale cohort studies.
Keywords:Nutritional Epidemiology, Dietary Assessment, Statistical Modelling
Source:European Journal of Clinical Nutrition
ISSN:0954-3007
Publisher:Nature Publishing Group (U.K.)
Volume:68
Number:3
Page Range:324-329
Date:March 2014
Official Publication:https://doi.org/10.1038/ejcn.2013.274
PubMed:View item in PubMed

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