Evidence map›Paper›PMID 30239584›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2018

Mathematical Optimization to Explore Tomorrow's Sustainable Diets: A Narrative Review.

Rozenn Gazan, Chloé M C Brouzes, Florent Vieux, Matthieu Maillot, Anne Lluch, Nicole Darmon

Registry-linked trialAbstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05457439 (Sustainable-psycho-nutritional Intervention Program and Its Effects on Water and Carbon Footprint, Metabolic Biomarkers, and Gut Microbiota in Mexican Population), which is not on this map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–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.

NCT05457439 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Sustainable-psycho-nutritional Intervention Program and Its Effects on Water and Carbon Footprint, Metabolic Biomarkers, and Gut Microbiota in Mexican Population: a m-Health Randomized Clinical Trial

TypeinterventionalSponsorUniversity of GuadalajaraRan2022 to 2023Enrolled112ConditionsGut Microbiota, Hyperglycemia, Hypercholesterolemia, HDLCArmsSustainable diet promotion through behavioral change intervention
3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

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17 more citing papers are in PubMed but not listed here.

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.

Rozenn GazanMS-Nutrition, Marseille, France.
Chloé M C BrouzesUMR PNCA, AgroParisTech, INRA, Université Paris-Saclay, Paris, France.
Florent VieuxMS-Nutrition, Marseille, France.
Matthieu MaillotMS-Nutrition, Marseille, France.
Anne LluchDanone Nutricia Research, Centre Daniel Carasso, Palaiseau, France.
Nicole DarmonMOISA, INRA, CIHEAM-IAMM, CIRAD, Montpellier SupAgro, University of Montpellier, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sustainable diet is, by definition, nutritionally adequate, economically affordable, culturally acceptable, and environmentally respectful. Designing such a diet has to integrate different dimensions of diet sustainability that may not be compatible with each other. Among multicriteria assessment methods, diet optimization is a whole-diet approach that simultaneously combines several metrics for dimensions of diet sustainability. This narrative review based on 67 published studies shows how mathematical diet optimization can help with understanding the relations between the different dimensions of diet sustainability and how it can be properly used to identify sustainable diets. Diet optimization aims to find the optimal combination of foods for a population, a subpopulation, or an individual that fulfills a set of constraints while minimizing or maximizing an objective function. In the studies reviewed, diet optimization was used to examine the links between dimensions of diet sustainability, identify the minimum cost or environmental impact of a nutritionally adequate diet, or identify food combinations able to combine ≥2 sustainability dimensions. If some constraints prove difficult to fulfill, this signals an incompatibility between nutrient recommendations, over-monotonous food-consumption patterns, an inadequate supply of nutrient-rich foods, or an incompatibility with other dimensions. If diet optimization proves successful, it can serve to design nutritionally adequate, culturally acceptable, economically affordable, and environmentally friendly diets. Diet optimization results can help define dietary recommendations, tackle food security issues, and promote sustainable dietary patterns. This review emphasizes the importance of carefully choosing the model parameters (variables, objective function, constraints) and input data and the need for appropriate expertise to correctly interpret and communicate the results. Future research should make improvements in the choice of metrics used to assess each aspect of a sustainable diet, especially the cultural dimension, to improve the practicability of the results.

Indexed as

ForecastingModels, TheoreticalSustainable DevelopmentDiet, HealthyFood SupplyHumansNutrition Policy

Identifiers

PMID30239584
PMCPMC6140431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.