Evidence map›Paper›PMID 40659796›Full record

ReviewNature reviews. Endocrinology2025

The role of ultra-processed food in obesity.

Filippa Juul, Euridice Martinez-Steele, Niyati Parekh, Carlos A Monteiro

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  11. Unhealthy Food and Beverage Marketing on Public Transport Infrastructure in Western Melbourne.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    Article
  12. Review
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  15. Article
  16. Foods (Basel, Switzerland) · 2026
    Article
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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

4 authors.

Filippa JuulSchool of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Euridice Martinez-SteeleCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Niyati ParekhNYU School of Global Public Health, New York University, New York, NY, USA.
Carlos A MonteiroCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil. carlosam@usp.br.ORCID http://orcid.org/0000-0002-3777-1533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global increase in obesity has occurred in parallel to a dietary shift from traditional staple foods to ultra-processed foods (UPF), spurring scientific interest in UPF as a driver of the obesity pandemic. Herein, we summarize the current evidence regarding the role of UPF in obesity, with a specific focus on potential biological mechanisms. The literature strongly supports and corroborates ecological, epidemiological and mechanistic lines of research indicating that dietary patterns high in UPF promote overeating and increase the risk of overweight and obesity. Experimental evidence demonstrates that the soft texture, high energy density and hyperpalatable nutrient combinations of UPF facilitate excessive energy intakes by affecting ingestive behaviours, satiety signalling and food reward systems. Although not fully elucidated, it is plausible that several other UPF attributes (such as emulsifiers, non-nutritive sweeteners, acellular nutrients, and contaminants from processing and packaging materials) contribute to their obesogenic effects through a myriad of physiological pathways, including altered absorption kinetics, glycaemic response and the gut microbiota composition and function. To stem the global rise in obesity, multipronged policy efforts are needed to reduce UPF consumption and create health-promoting food systems.

Indexed as

Fast FoodsFood HandlingObesityAnimalsEnergy IntakeFeeding BehaviorFood, ProcessedHumans

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.