Evidence map›Paper›PMID 39263360›Full record

ArticleMethodsX2024

Development and validation of a web application to collect food supply data associated with their nutritional composition and environmental impacts.

Lucile Marty, Fanny Teil, Christine Lange, Valentin Bellassen, Michel Visalli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lucile MartyCentre des Sciences Du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, 17 rue Sully, 21000 Dijon, France.
Fanny TeilCentre des Sciences Du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, 17 rue Sully, 21000 Dijon, France.
Christine LangeCentre des Sciences Du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, 17 rue Sully, 21000 Dijon, France.
Valentin BellassenCESAER, INRAE, Institut Agro, Université Bourgogne, 21000 Dijon, France.
Michel VisalliCentre des Sciences Du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, 17 rue Sully, 21000 Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring what people eat is a major methodological challenge. We developed and validated a new web-based method to record actual food supply data that would be less time consuming than the original method (i.e., food supply diary). Through the COD-Appro web application, participants can enter their food supplies by selecting a food item from a list based on items included in French food databases; thus automatically associated with nutrient composition and environmental impacts data. We recruited 102 participants who used COD-Appro during one month, among which 30 also used a classical paper-based food supply diary to be able to compare the two methods. A feedback questionnaire was completed by all the participants. The two methods showed no difference between the price and the quantity of food purchases when compared by food groups (

Indexed as

Dietary indicatorsFood databaseFood purchasesFood supply web application (COD-Appro)Sustainability

Identifiers

PMID39263360
PMCPMC11388661

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.