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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...

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Autores principales: Chan, Virginia, Davies, Alyse, Wellard-Cole, Lyndal, Lu, Silvia, Ng, Hoi, Tsoi, Lok, Tiscia, Anjali, Signal, Louise, Rangan, Anna, Gemming, Luke, Allman-Farinelli, Margaret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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