Andreas G Arens-Volland1, Lübomira Spassova2, Torsten Bohn3. 1. Luxembourg Institute of Science and Technology, IT for Innovative Services (ITIS) Department, 5, avenue des Hauts-Fourneaux, L-4362 Esch/Alzette, Luxembourg. Electronic address: andreas.arens@list.lu. 2. Luxembourg Institute of Science and Technology, IT for Innovative Services (ITIS) Department, 5, avenue des Hauts-Fourneaux, L-4362 Esch/Alzette, Luxembourg. 3. Luxembourg Institute of Science and Technology, Environmental Research and Innovation (ERIN) Department, 41, rue du Brill, L-4422 Belvaux, Luxembourg.
Abstract
PURPOSE: The aim of this review was to analyze computer-based tools for dietary management (including web-based and mobile devices) from both scientific and applied perspectives, presenting advantages and disadvantages as well as the state of validation. METHODS: For this cross-sectional analysis, scientific results from 41 articles retrieved via a medline search as well as 29 applications from online markets were identified and analyzed. RESULTS: Results show that many approaches computerize well-established existing nutritional concepts for dietary assessment, e.g., food frequency questionnaires (FFQ) or dietary recalls (DR). Both food records and barcode scanning are less prominent in research but are frequently offered by commercial applications. Integration with a personal health record (PHR) or a health care workflow is suggested in the literature but is rarely found in mobile applications. CONCLUSIONS: It is expected that employing food records for dietary assessment in research settings will be increasingly used when simpler interfaces, e.g., barcode scanning techniques, and comprehensive food databases are applied, which can also support user adherence to dietary interventions and follow-up phases of nutritional studies.
PURPOSE: The aim of this review was to analyze computer-based tools for dietary management (including web-based and mobile devices) from both scientific and applied perspectives, presenting advantages and disadvantages as well as the state of validation. METHODS: For this cross-sectional analysis, scientific results from 41 articles retrieved via a medline search as well as 29 applications from online markets were identified and analyzed. RESULTS: Results show that many approaches computerize well-established existing nutritional concepts for dietary assessment, e.g., food frequency questionnaires (FFQ) or dietary recalls (DR). Both food records and barcode scanning are less prominent in research but are frequently offered by commercial applications. Integration with a personal health record (PHR) or a health care workflow is suggested in the literature but is rarely found in mobile applications. CONCLUSIONS: It is expected that employing food records for dietary assessment in research settings will be increasingly used when simpler interfaces, e.g., barcode scanning techniques, and comprehensive food databases are applied, which can also support user adherence to dietary interventions and follow-up phases of nutritional studies.
Authors: Richard D Mattes; Sylvia B Rowe; Sarah D Ohlhorst; Andrew W Brown; Daniel J Hoffman; DeAnn J Liska; Edith J M Feskens; Jaapna Dhillon; Katherine L Tucker; Leonard H Epstein; Lynnette M Neufeld; Michael Kelley; Naomi K Fukagawa; Roger A Sunde; Steven H Zeisel; Anthony J Basile; Laura E Borth; Emahlea Jackson Journal: Adv Nutr Date: 2022-08-01 Impact factor: 11.567
Authors: Sai Krupa Das; Akari J Miki; Caroline M Blanchard; Edward Sazonov; Cheryl H Gilhooly; Sujit Dey; Colton B Wolk; Chor San H Khoo; James O Hill; Robin P Shook Journal: Adv Nutr Date: 2022-02-01 Impact factor: 11.567
Authors: Gabrielle M Turner-McGrievy; Sara Wilcox; Andrew T Kaczynski; Donna Spruijt-Metz; Brent E Hutto; Eric R Muth; Adam Hoover Journal: Digit Health Date: 2016-07-12