Evidence map›Paper›PMID 42036420›Full record

ArticleScientific reports2026

A two-phase optimization approach in designing sustainable hospital menus by integrating nutrition, cost, and environmental factors.

Fatemeh Ehsanitabar, Saeed Varasteh Yazdi, Afrooz Arzehgar, Mehran Zareian, Najmeh Seifi, Zahra Khorasnachi, Seyyed Reza Sobhani

Abstract read
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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fatemeh EhsanitabarDepartment of Nutritional Sciences, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Saeed Varasteh YazdiDepartment of Operations, Data and Artificial Intelligence, Emlyon Business School, Lyon, France.
Afrooz ArzehgarDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mehran ZareianDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Najmeh SeifiDepartment of Clinical Nutrition, Medical School, Mashhad University of Medical Sciences, Mashhad, Iran.
Zahra KhorasnachiDepartment of Nutritional Sciences, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. khorsanchiz@mums.ac.ir.
Seyyed Reza SobhaniDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran. srsobhani@tums.ac.ir.

Funding

Mashhad University of Medical Sciences 4022350
6 · The paper itself

Abstract

The current pattern of food production and consumption in the world has put great pressure on the environment, so a shift towards sustainable diets seems more urgent than ever. Within this context, organizations such as hospitals offer valuable opportunities to promote sustainable eating practices. The aim of the present study is to design a menu that minimizes environmental impact and cost, while simultaneously maximizing nutrient-rich food (NRF). A two-phase linear optimization was conducted at Imam Reza Hospital, Mashhad, Iran, combining linear and goal programming to optimize the quantities of each food. In this regard, data on recipes, quantities, and prices were collected over a 461-day period in the hospital canteen. For each meal, NRF, water footprint, carbon footprint, and cost were calculated. Four different scenarios were developed, and the best scenario was used to design one-year meal plans that meet macronutrient targets for protein, fat, and carbohydrates, and maintain dietary variety. The optimized menu attained a 36% reduction in carbon footprint and a 42% reduction in water footprint, while enhancing NRF by 10% and reducing cost by 42% in comparison with the prevailing menu. The mean percentage change in fat and carbohydrates from the obtained menu was -7.5% and 6%, respectively, which ensured the mean percentage change in all macronutrient levels aligns with recommended guidelines. The results of this study showed that healthier menus can be designed with a smaller environmental footprint, while maintaining or even significantly reducing costs.

Indexed as

Food Service, HospitalMenu PlanningNutritive ValueCarbon FootprintEnvironmentHumansIran

Identifiers

PMID42036420
PMCPMC13284389

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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.