Evidence map›Paper›PMID 40375880›Full record

ArticleFrontiers in psychiatry2025

Toward consensus: using the Delphi method to form an international expert consensus statement on ultra-processed food addiction.

Jen Unwin, Heidi Giaever, Nicole Avena, Clarissa Kennedy, Molly Painschab, Erica M LaFata

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

6 authors.

Jen UnwinThe Collaborative Health Community Foundation, Oxford, United Kingdom.
Heidi GiaeverThe Collaborative Health Community Foundation, Oxford, United Kingdom.
Nicole AvenaIcahn School of Medicine at Mount Sinai, New York, NY, United States.
Clarissa KennedySweet Sobriety, Belgrade, MT, United States.
Molly PainschabSweet Sobriety, Belgrade, MT, United States.
Erica M LaFataCenter for Weight, Eating, and Lifestyle Science, Drexel University, Philadelphia, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recognition of an addictive disorder relating to the harmful use of certain foods is being called for by clinicians and researchers, which evidence supports as being distinct from eating disorders (EDs) and obesity. Critics cite a lack of consensus on the validity of associating the term addiction with food, claiming that characteristics of addiction 'are not observed in the context of eating behaviors' as a reason to dispute its consideration as a novel diagnosis. It was decided to consult international scientific and clinical experts to review whether it would be possible to reach a consensus around this subject. The 12-month project, using a Delphi method, involved 40 clinicians, researchers and academics, from 10 countries and a team of four facilitators. Consensus was achieved between 37 out of the 40 participants. The discussions during the process demonstrated that it was not only possible to achieve several areas of agreement related to the clinical observation of addiction-like symptoms related to certain foods but also, that existing extensive scientific research findings confirm the biochemical, neurological and behavioral aspects of a substance-use disorder relating specifically to ultra-processed foods, exhibiting strong similarities with other acknowledged substance-use disorders. The consensus may provide a platform for future attempts for formal recognition of ultra-processed food addiction as a diagnosis. Areas for future research are discussed.

Indexed as

addictionconsensusDelphi methodsubstance use disorderultra-processed food

Identifiers

PMID40375880
PMCPMC12078235

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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.