Evidence map›Paper›PMID 42726423›Full record

ReviewCurrent obesity reports2026

State of the Science on Ultra-processed Foods and the Ultra-processed Food Addiction Construct.

Erica M LaFata, Adrienne S Juarascio, Meghan L Butryn, Charlotte J Hagerman, Evan M Forman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Erica M LaFataOregon Research Institute, 3800 Sports Way Springfield, Springfield, OR, 97477, USA. elafata@ori.org.ORCID https://orcid.org/0000-0002-8505-6366
Adrienne S JuarascioOregon Research Institute, 3800 Sports Way Springfield, Springfield, OR, 97477, USA.
Meghan L ButrynDepartment of Psychological and Brain Sciences, Drexel University, 3201 Chestnut Street, Philadelphia, PA, 19104, USA.
Charlotte J HagermanOregon Research Institute, 3800 Sports Way Springfield, Springfield, OR, 97477, USA.
Evan M FormanOregon Research Institute, 3800 Sports Way Springfield, Springfield, OR, 97477, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWe synthesize recent developments across two linked literatures, ultra-processed foods (UPFs) and the construct of UPF addiction, engaging contested questions of health harm, classification, assessment, and recognition. RECENT

findingsAdvances include: 1) feeding trials and diet-quality-adjusted cohorts indicating harm from processing itself; 2) analyses linking critiques of UPF classification predominantly to industry-affiliated authors; 3) findings consistent with the addictive-substance hypothesis: GLP-1 agonists reduce UPF intake and addictive-substance use, and analyses identify UPF attributes driving addictive-like eating; 4) the first clinician-administered UPF addiction interview extends assessment beyond self-report; and 5) Delphi consensus and regulatory and legislative attention signaling recognition of UPF addiction. Evidence increasingly supports treating UPFs and UPF addiction as one problem, the substance and the disorder, reshaping research and policy priorities. The evidence base for recognition rivals that of some recognized disorders, though its sufficiency remains debated. Gaps include targeted interventions and clinician-administered assessment data.

Indexed as

Fast FoodsFeeding BehaviorFood AddictionHumansAddictive-Like EatingCompulsive OvereatingNova ClassificationUltra-Processed Food AddictionUltra-Processed Foods

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.