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.* ; Nöthlings, U.*
Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies.
Eur. J. Clin. Nutr. 68, 324-329 (2014)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Nutritional Epidemiology ; Dietary Assessment ; Statistical Modelling; Episodically Consumed Foods; Frequency Questionnaire; Intake Distributions; Measurement Error; Epic-potsdam; Validation; Nutrients; Model; Epidemiology; Selection
Keywords plus
Sprache
Veröffentlichungsjahr
2014
Prepublished im Jahr
HGF-Berichtsjahr
2014
ISSN (print) / ISBN
0954-3007
e-ISSN
1476-5640
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 68,
Heft: 3,
Seiten: 324-329
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Nature Publishing Group
Verlagsort
London
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-007
Förderungen
Copyright
Erfassungsdatum
2014-02-03