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Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring
Knowing the type and quality of the most popular foods consumed by a population can be useful in the design of technologies for monitoring food intake and interventions. The aim of this research was to determine the most frequently consumed foods and beverages among the Australian population and pro...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698260/ https://www.ncbi.nlm.nih.gov/pubmed/36432509 http://dx.doi.org/10.3390/nu14224822 |
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author | Chen, Juliana Grech, Amanda Allman-Farinelli, Margaret |
author_facet | Chen, Juliana Grech, Amanda Allman-Farinelli, Margaret |
author_sort | Chen, Juliana |
collection | PubMed |
description | Knowing the type and quality of the most popular foods consumed by a population can be useful in the design of technologies for monitoring food intake and interventions. The aim of this research was to determine the most frequently consumed foods and beverages among the Australian population and provide recommendations for progressing the design of dietary assessment technologies. Analysis of the first 24 h recall of the most recent Australian National Nutrition and Physical Activity Survey was conducted. The most popular foods and beverages consumed by energy (kJ) and by frequency were calculated. There were 4515 separate foods and beverages reported by 12,153 people. Overall, the top 10 foods that contributed most energy included full fat milk, beer, white rice, white bread, red wine, cola soft drinks, bananas, red apples, wholewheat breakfast cereal and white sugar. The five most frequently reported foods and beverages were tap water, black tea, full fat milk, instant coffee, and sugar. Understanding the most popular foods and beverages consumed can support innovations in the design of digital tools for dietary surveillance and to reduce under-reporting and food omissions. These findings could also guide the development of more tailored and relevant food databases that underpin these technologies. |
format | Online Article Text |
id | pubmed-9698260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96982602022-11-26 Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring Chen, Juliana Grech, Amanda Allman-Farinelli, Margaret Nutrients Article Knowing the type and quality of the most popular foods consumed by a population can be useful in the design of technologies for monitoring food intake and interventions. The aim of this research was to determine the most frequently consumed foods and beverages among the Australian population and provide recommendations for progressing the design of dietary assessment technologies. Analysis of the first 24 h recall of the most recent Australian National Nutrition and Physical Activity Survey was conducted. The most popular foods and beverages consumed by energy (kJ) and by frequency were calculated. There were 4515 separate foods and beverages reported by 12,153 people. Overall, the top 10 foods that contributed most energy included full fat milk, beer, white rice, white bread, red wine, cola soft drinks, bananas, red apples, wholewheat breakfast cereal and white sugar. The five most frequently reported foods and beverages were tap water, black tea, full fat milk, instant coffee, and sugar. Understanding the most popular foods and beverages consumed can support innovations in the design of digital tools for dietary surveillance and to reduce under-reporting and food omissions. These findings could also guide the development of more tailored and relevant food databases that underpin these technologies. MDPI 2022-11-14 /pmc/articles/PMC9698260/ /pubmed/36432509 http://dx.doi.org/10.3390/nu14224822 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 Chen, Juliana Grech, Amanda Allman-Farinelli, Margaret Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring |
title | Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring |
title_full | Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring |
title_fullStr | Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring |
title_full_unstemmed | Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring |
title_short | Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring |
title_sort | using popular foods consumed to inform development of digital tools for dietary assessment and monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698260/ https://www.ncbi.nlm.nih.gov/pubmed/36432509 http://dx.doi.org/10.3390/nu14224822 |
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