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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

Authors :
Freese, J.
Feller, S.
Harttig, U.
Kleiser, C.
Linseisen, J.
Fischer, B.
Leitzmann, M.F.
Six-Merker, J.
Michels, K.B.
Nimptsch, K.
Steinbrecher, A.
Pischon, T.
Heuer, T.
Hoffmann, I.
Jacobs, G.
Boeing, H.
Nothlings, U.
Source :
European Journal of Clinical Nutrition. March 1, 2014, Vol. 68 Issue 3, p324, 6 p.
Publication Year :
2014

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. European Journal of Clinical Nutrition (2014) 68, 324-329; doi:10.1038/ejcn.2013.274; published online 8 January 2014 Keywords: nutritional epidemiology; dietary assessment; statistical modelling Keywords: nutritional epidemiology; dietary assessment; statistical modelling<br />INTRODUCTION The valid estimation of long-term dietary intake in large-scale cohort studies represents a methodological challenge. Food frequency questionnaires (FFQs) have long been the instrument of choice. However, FFQs measure [...]

Details

Language :
English
ISSN :
09543007
Volume :
68
Issue :
3
Database :
Gale General OneFile
Journal :
European Journal of Clinical Nutrition
Publication Type :
Academic Journal
Accession number :
edsgcl.363516599
Full Text :
https://doi.org/10.1038/ejcn.2013.274