Evidence map›Paper›PMID 41430298›Full record

ArticleGlobalization and health2025

Food industry degrowth as a public health strategy: the case of ultra processed baked goods.

Norah Campbell, Sarah Browne, Marius Claudy, Kathryn Reilly, Francis M Finucane

Abstract read
In one paragraph

Article in Globalization and health, 2025. 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.

Norah CampbellTrinity Business School, Trinity College, Dublin, Ireland. norah.campbell@tcd.ie.
Sarah BrowneTrinity Business School, Trinity College, Dublin, Ireland.
Marius ClaudyBehavioural Research Lab, University College Dublin, Dublin, Ireland.
Kathryn ReillyNational Youth Council of Ireland, Dublin, Ireland.
Francis M FinucaneCentre of Diabetes, Endocrinology and Metabolism, Galway University Hospitals, Galway, Ireland.

Funding

Trinity College Dublin Arts and Humanities Benefactions Fund
6 · The paper itself

Abstract

Evidence associates ultra-processed food and beverage (UPF) diets to diverse non-communicable diseases, including obesity, diabetes, cardiovascular disease and mental health disorders. Efforts to reformulate by reducing salt, sugar and unhealthy fats in such foods, have not changed the fact that UPFs are an increasing proportion of population diets. The UPF industry is rooted in growth – a fundamental logic at the heart of publicly traded and for-profit private corporations. Our longitudinal analysis of supermarket trade journals from the US and UK spanning 30 years finds that growth in this sector is not demand-led, but industry driven. Our analysis uncovers four dynamics of this growth paradigm, which we call combatition., swotification, the fashion spiral, and demand-pumping. Our findings show that, while public health policies result in individual products becoming more ‘healthy’, these benefits are likely to dwarfed by the aggregate (overall) growth of the UPF category itself. We propose a powerful counter paradigm: de-growth. While having gained recognition in ecological economics, we demonstrate its potential for public health, especially its concepts of decoupling and overproduction. While many public health interventions exist within a growth paradigm, a degrowth perspective proposes that the UPF industry cannot innovate its way out of health harms, and that the production of the entire category must decrease.

Indexed as

Fast FoodsFood IndustryPublic HealthFood, ProcessedHumansUnited KingdomUnited States

Identifiers

PMID41430298
PMCPMC12837068

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.