PuSH - Publikationsserver des Helmholtz Zentrums München

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)
Verlagsversion Volltext DOI PMC
Closed
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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
Altmetric
2.950
1.316
27
25
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Nutritional Epidemiology ; Dietary Assessment ; Statistical Modelling; Episodically Consumed Foods; Frequency Questionnaire; Intake Distributions; Measurement Error; Epic-potsdam; Validation; Nutrients; Model; Epidemiology; Selection
Sprache
Veröffentlichungsjahr 2014
HGF-Berichtsjahr 2014
ISSN (print) / ISBN 0954-3007
e-ISSN 1476-5640
Quellenangaben Band: 68, Heft: 3, Seiten: 324-329 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
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
Scopus ID 84895824586
PubMed ID 24398637
Erfassungsdatum 2014-02-03