Evidence map›Paper›PMID 41181840›Full record

ArticleEClinicalMedicine2025

Association of 37 markers of ultra-processing with all-cause mortality: a prospective cohort study in the UK Biobank.

Kathrin Marie Krost, Gerrit Eichner, Mathias Fasshauer, Nathalie Judith Eise

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Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

4 authors.

Kathrin Marie KrostInstitute of Nutritional Science, Justus-Liebig University of Giessen, Goethestr. 55, Giessen 35390, Germany.
Gerrit EichnerMathematical Institute, Justus-Liebig University of Giessen, Arndtstr. 2, Giessen 35392, Germany.
Mathias FasshauerInstitute of Nutritional Science, Justus-Liebig University of Giessen, Goethestr. 55, Giessen 35390, Germany.
Nathalie Judith EiseInstitute of Nutritional Science, Justus-Liebig University of Giessen, Goethestr. 55, Giessen 35390, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In contrast to ultra-processed foods (UPFs), the association between specific markers of ultra-processing (MUPs) and all-cause mortality remains unexplored. As MUPs such as flavour, emulsifier, and sweetener may contribute differently to health outcomes, evaluating their individual associations with mortality is crucial. Methods: This population-based, prospective, exploratory cohort study included 186,744 UK Biobank participants aged 40 to 75, recruited between 2006 and 2010, each of whom completed at least one Oxford WebQ. To assess intake of UPFs and specific MUPs, up to ten matching commercial products were researched for each Oxford WebQ item and analysed concerning 57 previously described MUPs grouped into nine MUP categories. Of these, 37 specific MUPs were identified in one or more products. A food item was regarded as UPF if it contained at least one MUP. Cox proportional hazard regression models for all-cause mortality were applied, incorporating gram intake from UPFs, as well as from foods containing each of the nine MUP categories and 37 specific MUPs, in relation to gram total food intake (expressed as percentage of total food intake (%TFI)), using penalised cubic splines. The hazard ratio (HR)-nadir was defined as the lowest HR on the %TFI axis and rescaled to 1. Findings: Over a mean follow-up of 11.0 years, 10,203 deaths occurred. Five MUP categories were significantly (linear P < 0.05) related to all-cause mortality and the following HRs (confidence interval (CI)) were observed relative to the HR-nadir: flavour (40% versus 10 %TFI (HR-nadir); HR (CI) 1.20 (1.08 to 1.33); P < 0.0011), flavour enhancer (2% versus 0 %TFI; 1.07 (1.00 to 1.16); P = 0.025), colouring agent (20% versus 3 %TFI; 1.24 (1.10 to 1.39); P < 0.0001), sweetener (20% versus 0 %TFI; 1.14 (1.06 to 1.23); P < 0.0043), and varieties of sugar (10% versus 4 %TFI; 1.10 (1.03 to 1.16); P = 0.025). Furthermore, 13 specific MUPs were significantly associated with all-cause mortality (linear and/or non-linear P < 0.05), i.e., glutamate, ribonucleotide, acesulfame, saccharin, sucralose, caking agent, firming agent, gelling agent, thickener, fructose, inverted sugar, lactose, and maltodextrin. Among these, gelling agent was inversely associated with mortality risk. UPF intake was significantly (P < 0.05) associated with all-cause mortality. Major findings remained robust in sensitivity analyses. Interpretation: Total MUP-based definition UPF, five MUP categories, and several specific MUPs within these categories were significantly associated with all-cause mortality. Thus, interventions targeting UPF may be most effective when focused on these candidates, which should also be prioritised for future mechanistic studies. Funding: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (Project: SFB 1052/2 C6 to MF).

Indexed as

Food additivesMarkers of ultra-processingMortalityNOVA classificationUltra-processed food

Identifiers

PMID41181840
PMCPMC12572789

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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.