Evidence map›Paper›PMID 37927126›Full record

ArticlePublic health nutrition2023

Ultra-processing markers are more prevalent in plant-based meat products as compared to their meat-based counterparts in a German food market analysis.

Kemja-Maria Metz, Nathalie Judith Neumann, Mathias Fasshauer

Abstract read
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Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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.

Kemja-Maria Metz *Institute of Nutritional Science, Justus-Liebig University of Giessen, Goethestr. 55, Giessen, Hessen35390, Germany.
Nathalie Judith Neumann *Institute of Nutritional Science, Justus-Liebig University of Giessen, Goethestr. 55, Giessen, Hessen35390, Germany.ORCID 0000-0003-3247-1555
Mathias FasshauerInstitute of Nutritional Science, Justus-Liebig University of Giessen, Goethestr. 55, Giessen, Hessen35390, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare ultra-processing markers and nutrient composition in plant-based meat products (PBMP) with equivalent meat-based products (MBP).

designA total of 282 PBMP and 149 MBP within 18 product categories were assessed. Based on the NOVA classification, 33 ultra-processing markers were identified and six ultra-processing bullet categories were defined, that is flavour, flavour enhancer, sweetener, colour, other cosmetic additives and non-culinary ingredients. The ingredient lists were analysed concerning these ultra-processing markers and ultra-processing bullet categories, as well as nutrient composition, for all PBMP and MBP. Differences between PBMP and MBP were assessed using chi-square and Mann-Whitney

settingCross-sectional analysis.

participants282 PBMP and 149 MBP.

resultsThe percentage of ultra-processed food (UPF) items was significantly higher in PBMP (88 %) as compared to MBP (52 %) (

conclusionsUltra-processing markers are significantly more prevalent in PBMP as compared to MBP. Since UPF intake has been convincingly linked to metabolic and CVD, substituting MBP with PBMP might have negative net health effects.

Indexed as

DietMeat ProductsCross-Sectional StudiesEnergy IntakeFast FoodsFlavoring AgentsFood HandlingHumansFlavoring AgentsMetabolic syndromeNOVA classificationNutrient compositionPlant-based meat productsUltra-processed food

Identifiers

PMID37927126
PMCPMC10755440

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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.