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Expansion of an Australian food composition database to estimate plant and animal intakes

Despite evidence for favourable health outcomes associated with plant-based diets, a database containing the plant and animal content of all foods eaten is required to undertake a reliable assessment of plant-based diets within a population. This study aimed to expand an existing Australian food dat...

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Autores principales: Stanford, Jordan, McMahon, Sarah, Lambert, Kelly, Charlton, Karen E., Stefoska-Needham, Anita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630146/
https://www.ncbi.nlm.nih.gov/pubmed/37157848
http://dx.doi.org/10.1017/S0007114523001101
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author Stanford, Jordan
McMahon, Sarah
Lambert, Kelly
Charlton, Karen E.
Stefoska-Needham, Anita
author_facet Stanford, Jordan
McMahon, Sarah
Lambert, Kelly
Charlton, Karen E.
Stefoska-Needham, Anita
author_sort Stanford, Jordan
collection PubMed
description Despite evidence for favourable health outcomes associated with plant-based diets, a database containing the plant and animal content of all foods eaten is required to undertake a reliable assessment of plant-based diets within a population. This study aimed to expand an existing Australian food database to include the plant and animal content of all whole foods, beverages, multi-ingredient products and mixed dishes. Twenty-three plant- and animal-based food group classifications were first defined. The food servings per 100 g of each product were then systematically calculated using either a recipe-based approach, a food label-based approach, estimates based on similar products or online recipes. Overall, 4687 (83·5 %) foods and beverages were identified as plant or plant-containing products, and 3701 (65·9 %) were animal or animal-containing products. Results highlighted the versatility of plant and animal ingredients as they were found in various foods across many food categories, including savoury and sweet foods, as well as discretionary and core foods. For example, over 97 % of animal fat-containing foods were found in major food groups outside the AUSNUT 2011–2013 ‘fats and oils’ group. Surprisingly, fruits, nuts and seeds were present in a greater percentage of discretionary products than in core foods and beverages. This article describes a systematic approach that is suitable for the development of other novel food databases. This database allows more accurate quantitative estimates of plant and animal intakes, which is significant for future epidemiological and clinical research aiming to investigate plant-based diets and their related health outcomes.
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spelling pubmed-106301462023-11-09 Expansion of an Australian food composition database to estimate plant and animal intakes Stanford, Jordan McMahon, Sarah Lambert, Kelly Charlton, Karen E. Stefoska-Needham, Anita Br J Nutr Research Article Despite evidence for favourable health outcomes associated with plant-based diets, a database containing the plant and animal content of all foods eaten is required to undertake a reliable assessment of plant-based diets within a population. This study aimed to expand an existing Australian food database to include the plant and animal content of all whole foods, beverages, multi-ingredient products and mixed dishes. Twenty-three plant- and animal-based food group classifications were first defined. The food servings per 100 g of each product were then systematically calculated using either a recipe-based approach, a food label-based approach, estimates based on similar products or online recipes. Overall, 4687 (83·5 %) foods and beverages were identified as plant or plant-containing products, and 3701 (65·9 %) were animal or animal-containing products. Results highlighted the versatility of plant and animal ingredients as they were found in various foods across many food categories, including savoury and sweet foods, as well as discretionary and core foods. For example, over 97 % of animal fat-containing foods were found in major food groups outside the AUSNUT 2011–2013 ‘fats and oils’ group. Surprisingly, fruits, nuts and seeds were present in a greater percentage of discretionary products than in core foods and beverages. This article describes a systematic approach that is suitable for the development of other novel food databases. This database allows more accurate quantitative estimates of plant and animal intakes, which is significant for future epidemiological and clinical research aiming to investigate plant-based diets and their related health outcomes. Cambridge University Press 2023-12-14 2023-05-09 /pmc/articles/PMC10630146/ /pubmed/37157848 http://dx.doi.org/10.1017/S0007114523001101 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Research Article
Stanford, Jordan
McMahon, Sarah
Lambert, Kelly
Charlton, Karen E.
Stefoska-Needham, Anita
Expansion of an Australian food composition database to estimate plant and animal intakes
title Expansion of an Australian food composition database to estimate plant and animal intakes
title_full Expansion of an Australian food composition database to estimate plant and animal intakes
title_fullStr Expansion of an Australian food composition database to estimate plant and animal intakes
title_full_unstemmed Expansion of an Australian food composition database to estimate plant and animal intakes
title_short Expansion of an Australian food composition database to estimate plant and animal intakes
title_sort expansion of an australian food composition database to estimate plant and animal intakes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630146/
https://www.ncbi.nlm.nih.gov/pubmed/37157848
http://dx.doi.org/10.1017/S0007114523001101
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