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Published VersionCC BY V4.0, Open Access
Journal article
Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App
Nutrients, Vol.13(6), pp.1-13
2021
PMID: 34073378
Abstract
Technology-enhanced methods of dietary assessment may still face common limitations of self-report. This study aimed to assess foods and beverages omitted when both a 24 h recall and a smartphone app were used to assess dietary intake compared with camera images. For three consecutive days, young adults (18-30 years) wore an Autographer camera that took point-of-view images every 30 seconds. Over the same period, participants reported their diet in the app and completed daily 24 h recalls. Camera images were reviewed for food and beverages, then matched to the items reported in the 24 h recall and app. ANOVA (with post hoc analysis using Tukey Honest Significant Difference) and paired t-test were conducted. Discretionary snacks were frequently omitted by both methods (p < 0.001). Water was omitted more frequently in the app than in the camera images (p < 0.001) and 24 h recall (p < 0.001). Dairy and alternatives (p = 0.001), sugar-based products (p = 0.007), savoury sauces and condiments (p < 0.001), fats and oils (p < 0.001) and alcohol (p = 0.002) were more frequently omitted in the app than in the 24 h recall. The use of traditional self-report methods of assessing diet remains problematic even with the addition of technology and finding new objective methods that are not intrusive and are of low burden to participants remains a challenge.
Details
- Title
- Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App
- Authors
- Virginia Chan (Corresponding Author) - The University of SydneyAlyse Davies - The University of SydneyLyndal Wellard-Cole - The University of SydneySilvia Lu - The University of SydneyHoi Ng - The University of SydneyLok Tsoi - The University of SydneyAnjali Tiscia - The University of SydneyLouise Signal - University of OtagoAnna Rangan - The University of SydneyLuke Gemming - The University of SydneyMargaret Allman-Farinelli - The University of Sydney
- Publication details
- Nutrients, Vol.13(6), pp.1-13
- Publisher
- MDPI AG
- Date published
- 2021
- DOI
- 10.3390/nu13061806
- ISSN
- 2072-6643
- PMID
- 34073378
- Copyright note
- © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Data Availability
- Data is available upon request to the authors subject to ethical approval.
- Organisation Unit
- School of Health - Nutrition & Dietetics
- Language
- English
- Record Identifier
- 991104123702621
- Output Type
- Journal article
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