Evidence map›Paper›PMID 36941679›Full record

ArticleBMC nutrition2023

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

Marina Padovan, Fernando Ribeiro de Senna, Juliana Klein Kimura, Samara Tortorella Nascimento, Antonio Carlos Moretti, Caroline Dário Capitani

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Article in BMC nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marina PadovanMultidisciplinary Food and Health Laboratory (LabMAS), School of Applied Sciences, State University of Campinas (UNICAMP), 1300 Pedro Zaccaria St, Jd Santa Luzia, Limeira, São Paulo, 13484-350, Brazil. padovanmarina.luiz@gmail.com.
Fernando Ribeiro de SennaInstitute of Mathematics, Statistics and Scientific Computing (IMECC), University of Campinas (UNICAMP), University City, Campinas, São Paulo, 13083-856, Brazil.
Juliana Klein KimuraMultidisciplinary Food and Health Laboratory (LabMAS), School of Applied Sciences, State University of Campinas (UNICAMP), 1300 Pedro Zaccaria St, Jd Santa Luzia, Limeira, São Paulo, 13484-350, Brazil.
Samara Tortorella NascimentoMultidisciplinary Food and Health Laboratory (LabMAS), School of Applied Sciences, State University of Campinas (UNICAMP), 1300 Pedro Zaccaria St, Jd Santa Luzia, Limeira, São Paulo, 13484-350, Brazil.
Antonio Carlos MorettiSchool of Applied Sciences, State University of Campinas, 1300 Pedro Zaccaria St, Jd Santa Luzia, Limeira, São Paulo, 13484-350, Brazil.
Caroline Dário CapitaniMultidisciplinary Food and Health Laboratory (LabMAS), School of Applied Sciences, State University of Campinas (UNICAMP), 1300 Pedro Zaccaria St, Jd Santa Luzia, Limeira, São Paulo, 13484-350, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodsWe 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.

resultsThe 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.

conclusionThe model used can help in the menu elaboration dynamics of institutional foodservices, optimizing the work of the nutritionist in charge.

Indexed as

Institutional foodservicesMathematical modelingMenu developmentMixed integer programmingWorkers’ health

Identifiers

PMID36941679
PMCPMC10026400

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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measurements read30
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.