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WeightNameValue
1000 Titel
  • Image-Based Dietary Assessment Ability of Dietetics Students and Interns
1000 Autor/in
  1. Howes, Erica |
  2. Boushey, Carol |
  3. Kerr, Deborah |
  4. Tomayko, Emily J. |
  5. Cluskey, Mary |
1000 Erscheinungsjahr 2017
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-02-07
1000 Erschienen in
1000 Quellenangabe
  • 9(2):114
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.3390/nu9020114 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331545/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Image-based dietary assessment (IBDA) may improve the accuracy of dietary assessments, but no formalized training currently exists for skills relating to IBDA. This study investigated nutrition and dietetics students’ and interns’ IBDA abilities, the training and experience factors that may contribute to food identification and quantification accuracy, and the perceived challenges to performing IBDA. An online survey containing images of known foods and serving sizes representing common American foods was used to assess the ability to identify foods and serving sizes. Nutrition and dietetics students and interns from the United States and Australia (n = 114) accurately identified foods 79.5% of the time. Quantification accuracy was lower, with only 38% of estimates within ±10% of the actual weight. Foods of amorphous shape or higher energy density had the highest percent error. Students expressed general difficulty with perceiving serving sizes, making IBDA food quantification more difficult. Experience cooking at home from a recipe, frequent measuring of portions, and having a food preparation or cooking laboratory class were associated with enhanced accuracy in IBDA. Future training of dietetics students should incorporate more food-based serving size training to improve quantification accuracy while performing IBDA, while advances in IBDA technology are also needed.
1000 Sacherschließung
lokal image-based dietary records
lokal serving-size estimation
lokal dietetics education
lokal dietary assessment
1000 Fachgruppe
  1. Ernährungswissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/SG93ZXMsIEVyaWNh|http://orcid.org/0000-0001-7517-787X|http://orcid.org/0000-0002-1094-1299|https://frl.publisso.de/adhoc/creator/VG9tYXlrbywgRW1pbHkgSi4=|https://frl.publisso.de/adhoc/creator/Q2x1c2tleSwgTWFyeQ==
1000 Label
1000 Förderer
  1. NIH NCI
  2. NIH NIDDK
1000 Fördernummer
  1. 1U01CA130784-01
  2. 1R01-DK073711-01A1
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6412439.rdf
1000 Erstellt am 2019-01-30T12:53:48.533+0100
1000 Erstellt von 122
1000 beschreibt frl:6412439
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Thu Jan 30 22:13:19 CET 2020
1000 Objekt bearb. Wed Jan 30 12:54:52 CET 2019
1000 Vgl. frl:6412439
1000 Oai Id
  1. oai:frl.publisso.de:frl:6412439 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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