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Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people

Traditional methods to assess dietary intake have limited and questionable application in visually impaired people since the lack of vision and low leading role in their diet make it difficult to quantify and detail the food consumed throughout the day. Thus, this study investigated whether it is po...

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Autores principales: Borges, Thaís Lima Dias, de Lima, Marcos Felipe Silva, Lima, Severina Carla Vieira Cunha, Bagni, Ursula Viana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901793/
https://www.ncbi.nlm.nih.gov/pubmed/36745584
http://dx.doi.org/10.1371/journal.pone.0280725
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author Borges, Thaís Lima Dias
de Lima, Marcos Felipe Silva
Lima, Severina Carla Vieira Cunha
Bagni, Ursula Viana
author_facet Borges, Thaís Lima Dias
de Lima, Marcos Felipe Silva
Lima, Severina Carla Vieira Cunha
Bagni, Ursula Viana
author_sort Borges, Thaís Lima Dias
collection PubMed
description Traditional methods to assess dietary intake have limited and questionable application in visually impaired people since the lack of vision and low leading role in their diet make it difficult to quantify and detail the food consumed throughout the day. Thus, this study investigated whether it is possible to accurately identify foods and estimate their quantities using food records based on photographic images captured by visually impaired people. A panel of experts composed of nutritionists (n = 20) assessed these records comprising three standardized meals (breakfast; lunch/dinner; snack) from visually impaired people (n = 40) using two different protocols (frontal photo; aerial photo). Each nutritionist reported an estimated food record for each photographic image, which was compared to its respective weighed food record. For both frontal and aerial photos, experts were frequently correct for the number of food items in the meal (95.0% or over for breakfast, 100% for lunch/dinner, and 100% for snacks). All experts identified at least 11 of the 13 food items, but the majority correctly estimated the food amount only for 23% of the items. Compared to the weighed food record, the photographic records underestimated the amount of 61.5% of food items based on frontal photos, and of 76.9% of food items based on aerial photos. While most foods could be identified by photographic images captured by visually impaired people enabling a qualitative assessment of the diet, they could not be quantified accurately by nutritionists.
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spelling pubmed-99017932023-02-07 Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people Borges, Thaís Lima Dias de Lima, Marcos Felipe Silva Lima, Severina Carla Vieira Cunha Bagni, Ursula Viana PLoS One Research Article Traditional methods to assess dietary intake have limited and questionable application in visually impaired people since the lack of vision and low leading role in their diet make it difficult to quantify and detail the food consumed throughout the day. Thus, this study investigated whether it is possible to accurately identify foods and estimate their quantities using food records based on photographic images captured by visually impaired people. A panel of experts composed of nutritionists (n = 20) assessed these records comprising three standardized meals (breakfast; lunch/dinner; snack) from visually impaired people (n = 40) using two different protocols (frontal photo; aerial photo). Each nutritionist reported an estimated food record for each photographic image, which was compared to its respective weighed food record. For both frontal and aerial photos, experts were frequently correct for the number of food items in the meal (95.0% or over for breakfast, 100% for lunch/dinner, and 100% for snacks). All experts identified at least 11 of the 13 food items, but the majority correctly estimated the food amount only for 23% of the items. Compared to the weighed food record, the photographic records underestimated the amount of 61.5% of food items based on frontal photos, and of 76.9% of food items based on aerial photos. While most foods could be identified by photographic images captured by visually impaired people enabling a qualitative assessment of the diet, they could not be quantified accurately by nutritionists. Public Library of Science 2023-02-06 /pmc/articles/PMC9901793/ /pubmed/36745584 http://dx.doi.org/10.1371/journal.pone.0280725 Text en © 2023 Borges et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Borges, Thaís Lima Dias
de Lima, Marcos Felipe Silva
Lima, Severina Carla Vieira Cunha
Bagni, Ursula Viana
Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people
title Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people
title_full Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people
title_fullStr Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people
title_full_unstemmed Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people
title_short Accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people
title_sort accuracy of dietary intake assessments using food records based on photographic images captured by visually impaired people
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901793/
https://www.ncbi.nlm.nih.gov/pubmed/36745584
http://dx.doi.org/10.1371/journal.pone.0280725
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