Literature DB >> 33818566

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq.

Desiree A Lucassen1, Elske M Brouwer-Brolsma2, Anne M van de Wiel2, Els Siebelink2, Edith J M Feskens2.   

Abstract

To collect dietary intake data in a fast and reliable manner, a flexible and innovative smartphone application (app) called Traqq was developed (iOS/Android). This app can be used as a food record and 24-h recall (or shorter recall periods). Different sampling schemes can be created on either prespecified or random days/times within a predetermined period for both methods, with push notifications to urge the participants to register their food intake. In case of non-response, notifications are automatically rescheduled to ensure complete data collection. For use as a food record, respondents can access the app and log their food intake throughout the day. Food records close automatically at the end of the day; recalls close after submission of the consumed items. The recall as well as the food record module provide access to an extensive food list based on the Dutch food composition database (FCDB), which can be accustomed to fit different research purposes. When selecting a food item, respondents are simultaneously prompted to insert portion size, i.e., in household measures (e.g., cups, spoons, glasses), standard portion sizes (e.g., small, medium, large), or weight in grams, and eating occasion/time of consumption. Portion size options can be adjusted, e.g., only entry in grams in case of a weighed food record or time of consumption instead of eating occasion). The app also includes a My Dishes function, which allows the respondent to create their own recipes or product combinations (e.g., a daily breakfast) and only report the total quantity consumed. Subsequently, the app accounts for yield and retention factors. The data are stored on a secure server. If desired, additional questions, i.e., in general or those related to specific food items or eating occasions can be incorporated. This paper describes the development of the system (app and backend), including expert evaluations and usability testing.

Entities:  

Year:  2021        PMID: 33818566     DOI: 10.3791/62032

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  4 in total

1.  Valuing the Diversity of Research Methods to Advance Nutrition Science.

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

Review 2.  New Consumer Research Technology for Food Behaviour: Overview and Validity.

Authors:  Garmt Dijksterhuis; René de Wijk; Marleen Onwezen
Journal:  Foods       Date:  2022-03-07

3.  DIetary ASSessment (DIASS) Study: Design of an Evaluation Study to Assess Validity, Usability and Perceived Burden of an Innovative Dietary Assessment Methodology.

Authors:  Desiree A Lucassen; Elske M Brouwer-Brolsma; Anne I Slotegraaf; Esther Kok; Edith J M Feskens
Journal:  Nutrients       Date:  2022-03-09       Impact factor: 5.717

4.  The PERSonalized Glucose Optimization Through Nutritional Intervention (PERSON) Study: Rationale, Design and Preliminary Screening Results.

Authors:  Anouk Gijbels; Inez Trouwborst; Kelly M Jardon; Gabby B Hul; Els Siebelink; Suzanne M Bowser; Dilemin Yildiz; Lisa Wanders; Balázs Erdos; Dick H J Thijssen; Edith J M Feskens; Gijs H Goossens; Lydia A Afman; Ellen E Blaak
Journal:  Front Nutr       Date:  2021-06-30
  4 in total

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