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 Noethlings, U. (2014) Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies. EUROPEAN JOURNAL OF CLINICAL NUTRITION, 68 (3). pp. 324-329. ISSN 0954-3007, 1476-5640
Full text not available from this repository. (Request a copy)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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EPISODICALLY CONSUMED FOODS; FREQUENCY QUESTIONNAIRE; INTAKE DISTRIBUTIONS; MEASUREMENT ERROR; EPIC-POTSDAM; VALIDATION; NUTRIENTS; MODEL; EPIDEMIOLOGY; SELECTION; nutritional epidemiology; dietary assessment; statistical modelling |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 21 Nov 2019 08:12 |
| Last Modified: | 21 Nov 2019 08:12 |
| URI: | https://pred.uni-regensburg.de/id/eprint/10576 |
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