Evidence map›Paper›PMID 39811530›Full record

ArticleData in brief2025

Assessing the quantities of legume-based products: A dataset of conversion coefficients into a comparable dry-legume equivalent unit.

Marine Spiteri, Lola Pedrini, Agathe Thierry, Valérie Orozco, Olivier de Mouzon, Zohra Bouamra-Mechemache

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Marine SpiteriToulouse School of Economics, INRAE, University of Toulouse Capitole, 1 Esplanade de l'Université, F31000 Toulouse, France.
Lola PedriniToulouse School of Economics, INRAE, University of Toulouse Capitole, 1 Esplanade de l'Université, F31000 Toulouse, France.
Agathe ThierryToulouse School of Economics, INRAE, University of Toulouse Capitole, 1 Esplanade de l'Université, F31000 Toulouse, France.
Valérie OrozcoToulouse School of Economics, INRAE, University of Toulouse Capitole, 1 Esplanade de l'Université, F31000 Toulouse, France.
Olivier de MouzonToulouse School of Economics, INRAE, University of Toulouse Capitole, 1 Esplanade de l'Université, F31000 Toulouse, France.
Zohra Bouamra-MechemacheToulouse School of Economics, INRAE, University of Toulouse Capitole, 1 Esplanade de l'Université, F31000 Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring the consumption of processed foods made from a common raw agricultural ingredient requires to make quantities comparable, by converting them in raw product equivalent. This conversion also allows to compute total quantities. In the case of legumes, the challenge is to take into account a wide diversity of final products including packaged dry legumes, processed legumes and products cooked from legumes and other ingredients. While the total quantity of the final product purchased or consumed is easily available, the corresponding quantity of dry legumes used to make the final product is not. We create a dataset of technical coefficients to convert quantities of final legume-based products into dry-legume equivalent unit. For this purpose, we first list all legume-based products purchased in French retail stores from 2002 to 2019. Those products were identified in our primary data source, the Kantar Worldpanel data. Then, for each final legume-based product, we rely on information from existing food databases, literature and products labels to build a coefficient based on three intermediary technical sub-coefficients. The first sub-coefficient measures the proportion of cooked legumes used in each product. The second sub-coefficient adjusts the quantities for products that lose water during processing (such as dehydrated or baked products). Finally, the third sub-coefficient is a conversion coefficient, used to express the quantities of legumes purchased in dry-legume equivalent. This dataset centralizes technical conversion coefficients that are useful to analyze global French legume markets, regardless of the type of product purchased (dried legumes, canned legumes, meals...). These coefficients also allow to infer quantities at the upstream agricultural production level.

Indexed as

ConsumptionDryFood productsLegumesProcessedProportionRecipeTechnical coefficient

Identifiers

PMID39811530
PMCPMC11732100

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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.