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Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults

Studies have shown that young adults follow less structured eating patterns compared with older cohorts. This may have implications for dietary assessment methods which rely on memory and structured meal patterns. Our aim was to describe the intra-individual variation of eating times in young adults...

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Autores principales: Wang, Leanne, Chan, Virginia, Allman-Farinelli, Margaret, Davies, Alyse, Wellard-Cole, Lyndal, Rangan, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611808/
https://www.ncbi.nlm.nih.gov/pubmed/36297030
http://dx.doi.org/10.3390/nu14204349
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author Wang, Leanne
Chan, Virginia
Allman-Farinelli, Margaret
Davies, Alyse
Wellard-Cole, Lyndal
Rangan, Anna
author_facet Wang, Leanne
Chan, Virginia
Allman-Farinelli, Margaret
Davies, Alyse
Wellard-Cole, Lyndal
Rangan, Anna
author_sort Wang, Leanne
collection PubMed
description Studies have shown that young adults follow less structured eating patterns compared with older cohorts. This may have implications for dietary assessment methods which rely on memory and structured meal patterns. Our aim was to describe the intra-individual variation of eating times in young adults aged 18–30 years. Participants (n = 41) wore an Autographer camera that captured first-person perspective images every 30 s for three consecutive days. All images were timestamped and those showing food consumption were used to extract data such as the timing of the first and last eating occasions (EOs), number of EOs per day, and length of eating window. Intra-individual variability was calculated from these data using composite phase deviation (CPD) and coefficient of variation (CV). The number of individuals with high or very high variability was 28 and 18 for timing of first and last EOs, respectively (CPD > 1.70), and 27 and 17 for number of EOs and eating window, respectively (CV > 20%). In this sample of young adults, the lack of regularity in eating patterns should be considered when selecting a dietary assessment method.
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spelling pubmed-96118082022-10-28 Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults Wang, Leanne Chan, Virginia Allman-Farinelli, Margaret Davies, Alyse Wellard-Cole, Lyndal Rangan, Anna Nutrients Article Studies have shown that young adults follow less structured eating patterns compared with older cohorts. This may have implications for dietary assessment methods which rely on memory and structured meal patterns. Our aim was to describe the intra-individual variation of eating times in young adults aged 18–30 years. Participants (n = 41) wore an Autographer camera that captured first-person perspective images every 30 s for three consecutive days. All images were timestamped and those showing food consumption were used to extract data such as the timing of the first and last eating occasions (EOs), number of EOs per day, and length of eating window. Intra-individual variability was calculated from these data using composite phase deviation (CPD) and coefficient of variation (CV). The number of individuals with high or very high variability was 28 and 18 for timing of first and last EOs, respectively (CPD > 1.70), and 27 and 17 for number of EOs and eating window, respectively (CV > 20%). In this sample of young adults, the lack of regularity in eating patterns should be considered when selecting a dietary assessment method. MDPI 2022-10-17 /pmc/articles/PMC9611808/ /pubmed/36297030 http://dx.doi.org/10.3390/nu14204349 Text en © 2022 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
Wang, Leanne
Chan, Virginia
Allman-Farinelli, Margaret
Davies, Alyse
Wellard-Cole, Lyndal
Rangan, Anna
Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults
title Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults
title_full Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults
title_fullStr Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults
title_full_unstemmed Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults
title_short Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults
title_sort wearable cameras reveal large intra-individual variability in timing of eating among young adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611808/
https://www.ncbi.nlm.nih.gov/pubmed/36297030
http://dx.doi.org/10.3390/nu14204349
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