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Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App
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 ad...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228902/ https://www.ncbi.nlm.nih.gov/pubmed/34073378 http://dx.doi.org/10.3390/nu13061806 |
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author | Chan, Virginia Davies, Alyse Wellard-Cole, Lyndal Lu, Silvia Ng, Hoi Tsoi, Lok Tiscia, Anjali Signal, Louise Rangan, Anna Gemming, Luke Allman-Farinelli, Margaret |
author_facet | Chan, Virginia Davies, Alyse Wellard-Cole, Lyndal Lu, Silvia Ng, Hoi Tsoi, Lok Tiscia, Anjali Signal, Louise Rangan, Anna Gemming, Luke Allman-Farinelli, Margaret |
author_sort | Chan, Virginia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8228902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82289022021-06-26 Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App Chan, Virginia Davies, Alyse Wellard-Cole, Lyndal Lu, Silvia Ng, Hoi Tsoi, Lok Tiscia, Anjali Signal, Louise Rangan, Anna Gemming, Luke Allman-Farinelli, Margaret Nutrients Article 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. MDPI 2021-05-26 /pmc/articles/PMC8228902/ /pubmed/34073378 http://dx.doi.org/10.3390/nu13061806 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Chan, Virginia Davies, Alyse Wellard-Cole, Lyndal Lu, Silvia Ng, Hoi Tsoi, Lok Tiscia, Anjali Signal, Louise Rangan, Anna Gemming, Luke Allman-Farinelli, Margaret Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App |
title | Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App |
title_full | Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App |
title_fullStr | Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App |
title_full_unstemmed | Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App |
title_short | Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App |
title_sort | using wearable cameras to assess foods and beverages omitted in 24 hour dietary recalls and a text entry food record app |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228902/ https://www.ncbi.nlm.nih.gov/pubmed/34073378 http://dx.doi.org/10.3390/nu13061806 |
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