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...

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Autores principales:	Hosun Lee, Mihyang Um, Kisun Nam, Sang-Jin Chung, Yookyoung Park
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	GL glycemic load ready-to-eat (RTE) meal prediction formula GI glycemic index Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/189999a0ec984cb59f77ecac44d7fe9b
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spelling	oai:doaj.org-article:189999a0ec984cb59f77ecac44d7fe9b2021-11-25T17:33:37ZDevelopment of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals10.3390/foods101126262304-8158https://doaj.org/article/189999a0ec984cb59f77ecac44d7fe9b2021-10-01T00:00:00Zhttps://www.mdpi.com/2304-8158/10/11/2626https://doaj.org/toc/2304-8158The 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<sup>2</sup>) – (0.01 × fiber<sup>2</sup>). We hope that this prediction formula can be used as a useful tool to estimate the GL after consuming ready-to-eat meals.Hosun LeeMihyang UmKisun NamSang-Jin ChungYookyoung ParkMDPI AGarticleGLglycemic loadready-to-eat (RTE) mealprediction formulaGIglycemic indexChemical technologyTP1-1185ENFoods, Vol 10, Iss 2626, p 2626 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	GL glycemic load ready-to-eat (RTE) meal prediction formula GI glycemic index Chemical technology TP1-1185
spellingShingle	GL glycemic load ready-to-eat (RTE) meal prediction formula GI glycemic index Chemical technology TP1-1185 Hosun Lee Mihyang Um Kisun Nam Sang-Jin Chung Yookyoung Park Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals
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<sup>2</sup>) – (0.01 × fiber<sup>2</sup>). We hope that this prediction formula can be used as a useful tool to estimate the GL after consuming ready-to-eat meals.
format	article
author	Hosun Lee Mihyang Um Kisun Nam Sang-Jin Chung Yookyoung Park
author_facet	Hosun Lee Mihyang Um Kisun Nam Sang-Jin Chung Yookyoung Park
author_sort	Hosun Lee
title	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_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_sort	development of a prediction model to estimate the glycemic load of ready-to-eat meals
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/189999a0ec984cb59f77ecac44d7fe9b
work_keys_str_mv	AT hosunlee developmentofapredictionmodeltoestimatetheglycemicloadofreadytoeatmeals AT mihyangum developmentofapredictionmodeltoestimatetheglycemicloadofreadytoeatmeals AT kisunnam developmentofapredictionmodeltoestimatetheglycemicloadofreadytoeatmeals AT sangjinchung developmentofapredictionmodeltoestimatetheglycemicloadofreadytoeatmeals AT yookyoungpark developmentofapredictionmodeltoestimatetheglycemicloadofreadytoeatmeals
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Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals

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