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Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals
The glycemic index (GI) and glycemic load (GL) of a single food item has been used to monitor blood glucose level. However, concerns regarding the clinical relevance of the GI or GL have been raised on their applicability to a combination of several foods consumed as meal. This study aimed to invest...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625555/ https://www.ncbi.nlm.nih.gov/pubmed/34828910 http://dx.doi.org/10.3390/foods10112626 |
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author | Lee, Hosun Um, Mihyang Nam, Kisun Chung, Sang-Jin Park, Yookyoung |
author_facet | Lee, Hosun Um, Mihyang Nam, Kisun Chung, Sang-Jin Park, Yookyoung |
author_sort | Lee, Hosun |
collection | PubMed |
description | The glycemic index (GI) and glycemic load (GL) of a single food item has been used to monitor blood glucose level. However, concerns regarding the clinical relevance of the GI or GL have been raised on their applicability to a combination of several foods consumed as meal. This study aimed to investigate the glycemic response after consuming commercially purchased ready-to-eat meal and to develop the GL prediction formula using the composition of nutrients in each meal. Glycemic responses were measured in healthy adults with various mixed meals comprising approximately 25 g, 50 g, and 75 g of carbohydrates. After fasting, participants consumed test meals, and the glycemic response was measured for a subsequent 120 min. The GI and GL values for mixed meals were calculated as area under curve for each participant. For the prediction formula, 70 mixed meals were analyzed, of which the GI and GL values of 64 participants were used. The prediction formula produced was as follows: GL = 19.27 + (0.39 × available carbohydrate) – (0.21 × fat) – (0.01 × protein(2)) – (0.01 × fiber(2)). We hope that this prediction formula can be used as a useful tool to estimate the GL after consuming ready-to-eat meals. |
format | Online Article Text |
id | pubmed-8625555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86255552021-11-27 Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals Lee, Hosun Um, Mihyang Nam, Kisun Chung, Sang-Jin Park, Yookyoung Foods Article The glycemic index (GI) and glycemic load (GL) of a single food item has been used to monitor blood glucose level. However, concerns regarding the clinical relevance of the GI or GL have been raised on their applicability to a combination of several foods consumed as meal. This study aimed to investigate the glycemic response after consuming commercially purchased ready-to-eat meal and to develop the GL prediction formula using the composition of nutrients in each meal. Glycemic responses were measured in healthy adults with various mixed meals comprising approximately 25 g, 50 g, and 75 g of carbohydrates. After fasting, participants consumed test meals, and the glycemic response was measured for a subsequent 120 min. The GI and GL values for mixed meals were calculated as area under curve for each participant. For the prediction formula, 70 mixed meals were analyzed, of which the GI and GL values of 64 participants were used. The prediction formula produced was as follows: GL = 19.27 + (0.39 × available carbohydrate) – (0.21 × fat) – (0.01 × protein(2)) – (0.01 × fiber(2)). We hope that this prediction formula can be used as a useful tool to estimate the GL after consuming ready-to-eat meals. MDPI 2021-10-29 /pmc/articles/PMC8625555/ /pubmed/34828910 http://dx.doi.org/10.3390/foods10112626 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 Lee, Hosun Um, Mihyang Nam, Kisun Chung, Sang-Jin Park, Yookyoung Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals |
title | Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals |
title_full | Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals |
title_fullStr | Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals |
title_full_unstemmed | Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals |
title_short | Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals |
title_sort | development of a prediction model to estimate the glycemic load of ready-to-eat meals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625555/ https://www.ncbi.nlm.nih.gov/pubmed/34828910 http://dx.doi.org/10.3390/foods10112626 |
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