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Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil

BACKGROUND: In Brazil, institutional foodservices are required to meet the recommendations of the Workers? Food Program (WFP), a national public policy used to plan collective menus. The current study aimed to propose a mathematical model to generate a one-month menu that meets the nutritional recom...

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Autores principales: Padovan, Marina, de Senna, Fernando Ribeiro, Kimura, Juliana Klein, Nascimento, Samara Tortorella, Moretti, Antonio Carlos, Capitani, Caroline Dário
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026400/
https://www.ncbi.nlm.nih.gov/pubmed/36941679
http://dx.doi.org/10.1186/s40795-023-00705-0
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author Padovan, Marina
de Senna, Fernando Ribeiro
Kimura, Juliana Klein
Nascimento, Samara Tortorella
Moretti, Antonio Carlos
Capitani, Caroline Dário
author_facet Padovan, Marina
de Senna, Fernando Ribeiro
Kimura, Juliana Klein
Nascimento, Samara Tortorella
Moretti, Antonio Carlos
Capitani, Caroline Dário
author_sort Padovan, Marina
collection PubMed
description BACKGROUND: In Brazil, institutional foodservices are required to meet the recommendations of the Workers? Food Program (WFP), a national public policy used to plan collective menus. The current study aimed to propose a mathematical model to generate a one-month menu that meets the nutritional recommendations of the WFP, with low cost and good quality. METHODS: We considered aspects related to the eating habits of the Brazilian population, spacing of repetitions between the dishes, texture combination, and monotonicity of colors of the dishes served. A mixed integer programming model was built to formulate daily menus for an institutional foodservice for one month. The menu consisted of a base dish, a base dish option, salads (2 options), a protein dish, a protein dish option, a side dish, and a dessert. RESULTS: The model ensured compliance with the recommendations proposed by the WFP and the provision of healthy and nutritionally balanced meals. The menu generated met the recommendations of the WFP, with an average of 716.97 kcal/meal, including on average 58.28% carbohydrates, 17.89% proteins, and 24.88% total fats/meal. CONCLUSION: The model used can help in the menu elaboration dynamics of institutional foodservices, optimizing the work of the nutritionist in charge. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40795-023-00705-0.
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spelling pubmed-100264002023-03-21 Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil Padovan, Marina de Senna, Fernando Ribeiro Kimura, Juliana Klein Nascimento, Samara Tortorella Moretti, Antonio Carlos Capitani, Caroline Dário BMC Nutr Research BACKGROUND: In Brazil, institutional foodservices are required to meet the recommendations of the Workers? Food Program (WFP), a national public policy used to plan collective menus. The current study aimed to propose a mathematical model to generate a one-month menu that meets the nutritional recommendations of the WFP, with low cost and good quality. METHODS: We considered aspects related to the eating habits of the Brazilian population, spacing of repetitions between the dishes, texture combination, and monotonicity of colors of the dishes served. A mixed integer programming model was built to formulate daily menus for an institutional foodservice for one month. The menu consisted of a base dish, a base dish option, salads (2 options), a protein dish, a protein dish option, a side dish, and a dessert. RESULTS: The model ensured compliance with the recommendations proposed by the WFP and the provision of healthy and nutritionally balanced meals. The menu generated met the recommendations of the WFP, with an average of 716.97 kcal/meal, including on average 58.28% carbohydrates, 17.89% proteins, and 24.88% total fats/meal. CONCLUSION: The model used can help in the menu elaboration dynamics of institutional foodservices, optimizing the work of the nutritionist in charge. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40795-023-00705-0. BioMed Central 2023-03-20 /pmc/articles/PMC10026400/ /pubmed/36941679 http://dx.doi.org/10.1186/s40795-023-00705-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Padovan, Marina
de Senna, Fernando Ribeiro
Kimura, Juliana Klein
Nascimento, Samara Tortorella
Moretti, Antonio Carlos
Capitani, Caroline Dário
Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil
title Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil
title_full Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil
title_fullStr Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil
title_full_unstemmed Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil
title_short Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil
title_sort optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026400/
https://www.ncbi.nlm.nih.gov/pubmed/36941679
http://dx.doi.org/10.1186/s40795-023-00705-0
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