Evidence map›Paper›PMID 29462965›Full record

ArticleNutrients2018

Patterns of Protein Food Intake Are Associated with Nutrient Adequacy in the General French Adult Population.

Erwan de Gavelle, Jean-François Huneau, François Mariotti

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

32 citing papers in PubMed, 67 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Erwan de GavelleUMR PNCA, AgroParisTech, INRA, Université Paris-Saclay, 75005, Paris, France. erwan.degavelle@agroparistech.fr.
Jean-François HuneauUMR PNCA, AgroParisTech, INRA, Université Paris-Saclay, 75005, Paris, France. jean_francois.huneau@agroparistech.fr.
François MariottiUMR PNCA, AgroParisTech, INRA, Université Paris-Saclay, 75005, Paris, France. francois.mariotti@agroparistech.fr.ORCID 0000-0002-4516-3853
AgroParisTech · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein food intake appears to partially structure dietary patterns, as most current emergent diets (e.g., vegetarian and flexitarian) can be described according to their levels of specific protein sources. However, few data are available on dietary protein patterns in the general population and their association with nutrient adequacy. Based on protein food intake data concerning 1678 adults from a representative French national dietary survey, and non-negative-matrix factorization followed by cluster analysis, we were able to identify distinctive dietary protein patterns and compare their nutrient adequacy (using PANDiet probabilistic scoring). The findings revealed eight patterns that clearly discriminate protein intakes and were characterized by the intakes of one or more specific protein foods: 'Processed meat', 'Poultry', 'Pork', 'Traditional', 'Milk', 'Take-away', 'Beef' and 'Fish'. 'Fish eaters' and 'Milk drinkers' had the highest overall nutrient adequacy, whereas that of 'Pork' and 'Take-away eaters' was the lowest. Nutrient adequacy could often be accounted for by the characteristics of the food contributing to protein intake: 'Meat eaters' had high probability of adequacy for iron and zinc, for example. We concluded that protein patterns constitute strong elements in the background structure of the dietary intake and are associated with the nutrient profile that they convey.

Indexed as

EatingFeeding BehaviorNutritional StatusAdultDietary ProteinsDiet SurveysFast FoodsFemaleFranceHumansMaleMeatMiddle AgedMilk ProteinsNutritive ValuePlant ProteinsDietary ProteinsMilk ProteinsPlant Proteinsdietary diversitydietary protein patternnutrient adequacyprotein diets

Identifiers

PMID29462965
PMCPMC5852802
OpenAlexW2793136949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.