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1000 Titel
  • Development and Evaluation of e-CA, an Electronic Mobile-Based Food Record
1000 Autor/in
  1. Bucher Della Torre, Sophie |
  2. Farina, Eddy |
  3. Danuser, Brigitta |
  4. Kruseman, Maaike |
1000 Erscheinungsjahr 2017
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-01-18
1000 Erschienen in
1000 Quellenangabe
  • 9(1):76
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.3390/nu9010076 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295120/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Measures that capture diet as validly and reliably as possible are cornerstones of nutritional research, and mobile-based devices offer new opportunities to improve and simplify data collection. The balance between precision and acceptability of these data collection tools remains debated, and rigorous validations are warranted. Our objective was to develop and evaluate an electronic mobile-based food record for a research setting. We developed e-CA, which includes almost 900 foods and beverages classified in 14 categories and 60 subcategories. e-CA was evaluated using three different methods: (1) usability and acceptability through a logbook and qualitative interviews; (2) dietary intake accuracy through comparison with 2 unannounced 24-h phone recalls on overlapping days; and (3) reliability and process comparison with a paper-based food record in a laboratory setting with a randomized design. e-CA proved to be intuitive and practical and was perceived as modern, trendy, and fun. Comparisons of e-CA with 24-h telephone recalls or paper-based food records in a laboratory setting with two small convenient samples showed good agreement but highlighted the well-known difficulty of estimating portion sizes and a necessary learning time to use the app. e-CA is a functional tool that has the potential to facilitate food intake measurement for research by increasing the pleasure of using the food record tool and reducing the perceived burden for the participants. It also decreases the workload, costs and the risk of transcription errors for researchers.
1000 Sacherschließung
lokal technology-based assessment of dietary intake
lokal development and evaluation
lokal mobile food record
lokal nutritional epidemiology
1000 Fachgruppe
  1. Ernährungswissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://orcid.org/0000-0003-4103-420X|https://frl.publisso.de/adhoc/creator/RmFyaW5hLCBFZGR5|https://frl.publisso.de/adhoc/creator/RGFudXNlciwgQnJpZ2l0dGE=|https://frl.publisso.de/adhoc/creator/S3J1c2VtYW4sIE1hYWlrZQ==
1000 Label
1000 Förderer
  1. HES-SO University of Applied Sciences and Arts Western Switzerland
  2. School of the Health Sciences, Geneva, Switzerland
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6411645.rdf
1000 Erstellt am 2018-12-07T13:33:07.414+0100
1000 Erstellt von 122
1000 beschreibt frl:6411645
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Thu Jan 30 22:06:37 CET 2020
1000 Objekt bearb. Tue Dec 11 10:26:39 CET 2018
1000 Vgl. frl:6411645
1000 Oai Id
  1. oai:frl.publisso.de:frl:6411645 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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