Evidence map›Paper›PMID 41126287›Full record

ArticleNutrition journal2025

Cost and affordability implications of transitioning from current diets to National dietary guidelines and EAT-Lancet recommendations in Argentina: a modelling study.

Florencia Cámara, Leila Guarnieri, María Victoria Tiscornia, Stefanie Vandevijvere, Sally Mackay, Boyd Swinburn, Luciana Castronuovo

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Article in Nutrition journal, 2025. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Florencia CámaraFundación Interamericana del Corazón Argentina (FIC Argentina), Autonomous City of Buenos Aires, Argentina. florencia.camara@ficargentina.org.
Leila GuarnieriFundación Interamericana del Corazón Argentina (FIC Argentina), Autonomous City of Buenos Aires, Argentina.
María Victoria TiscorniaFundación Interamericana del Corazón Argentina (FIC Argentina), Autonomous City of Buenos Aires, Argentina.
Stefanie VandevijvereSciensano, Brussels, Belgium.
Sally MackayFaculty of Medical and Health Sciences, Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand.
Boyd SwinburnFaculty of Medical and Health Sciences, Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand.
Luciana CastronuovoFundación Interamericana del Corazón Argentina (FIC Argentina), Autonomous City of Buenos Aires, Argentina.

Funding

International Development Research Centre Grant 109472-004
6 · The paper itself

Abstract

backgroundCurrent dietary patterns contribute to health issues and pose high demands on the food production system, leading to environmental degradation. This paper aims to analyze the cost and affordability of current diets in Argentina, compared to one diet based on National Dietary Guidelines and 3 variants of diets based on EAT-Lancet Recommendations.

methodsThe methodology proposed by INFORMAS (International Network for Food and Obesity/Non-communicable Diseases Research, Monitoring and Action Support) was used to design six model diets for a reference household, considering the most consumed food products by the Argentinean population and similar healthier and/or more environmentally sustainable options. Nutritional information and prices of food products were obtained from official sources. Monte Carlo Simulations were performed to estimate the average cost of the diets (and variability). Affordability was measured as the percentage of average monthly household income each model diet represents.

resultsOn average the diet based on National Dietary Guidelines was the most expensive (274.95 USD; 95% CI: 274.85-275.05), followed by the current diet (261.84 USD; 95% CI: 261.62-262.06), the flexitarian diet that includes higher amount of animal protein sources (design to be more similar to the current consumption pattern in Argentina) (259.43 USD; 95% CI: 259.30-259.55), and then the vegan diet (256.96 USD; 95% CI: 256.90-257.03). The lowest costs were found for the current isocaloric diet (248.29 USD; 95% CI: 248.06-248.52) and the flexitarian diet with less animal proteins (248.37 USD; 95% CI: 248.26-248.48). Between 53% and 59% of the average income is needed to cover the cost of diets.

conclusionsDiets based on National Dietary Guidelines are on average the most expensive (least affordable), while the least expensive (most affordable) are the current isocaloric diet and the flexitarian diet with fewer animal protein sources, suggesting that there are dietary options that can reduce greenhouse gas emissions and provide health benefits without increasing food expenses.

Indexed as

DietNutrition PolicyArgentinaCosts and Cost AnalysisHumansIncomeMonte Carlo MethodAffordabilityArgentinaCostDietsEat-Lancet planetary health

Identifiers

PMID41126287
PMCPMC12542274

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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.