Evidence map›Paper›PMID 40931427›Full record

ArticlePublic health nutrition2025

Quantifying the environmental and food biodiversity impacts of ultra-processed foods: evidence from the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

Jeroen Berden, Giles T Hanley-Cook, Bernadette Chimera, Dagfinn Aune, Maria Gabriela M Pinho, Geneviève Nicolas, Bernard Srour, Christopher J Millett, Emine Koc Cakmak, Emmanuelle Kesse-Guyot and 33 more

Abstract read
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Article in Public health nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

43 authors.

Jeroen BerdenNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0009-0003-0139-0098
Giles T Hanley-CookDepartment of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Bernadette ChimeraNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Dagfinn AuneDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
Maria Gabriela M PinhoCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-4928-0851
Geneviève NicolasNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Bernard SrourUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017Bobigny, France.ORCID 0000-0002-1277-3380
Christopher J MillettPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Emine Koc CakmakDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Emmanuelle Kesse-GuyotUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017Bobigny, France.
Esther M González-GilNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Eszter P VamosPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Jessica Blanco LopezNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Julia BaudryUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017Bobigny, France.
Justine BerlivetUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017Bobigny, France.ORCID 0000-0002-5834-7088
Kiara ChangPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK.
Mathilde TouvierUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Centre of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017Bobigny, France.
Charlotte Le CornetDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Chloé MarquesParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0003-0481-2893
Daniel B IbsenSteno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
Franziska JannaschDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Guri SkeieDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0003-2476-4251
Maria-José SanchezCIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Matthias B SchulzeDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Sara GrioniFondazione IRCCS Istituto Nazionale dei Tumori di Milano Via Venezian, Milan, Italy.
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Ana M Jimenez ZabalaMinistry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Gipuzkoa, Spain.
Anna WinkvistDepartment of Diagnostics and Intervention, Oncology, Umeå University, Umeå, Sweden.
Anne TjønnelandDanish Cancer Institute, Copenhagen, Denmark.
Carlotta SacerdoteDepartment of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Cecilie KyrøDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Elisabette WeiderpassInternational Agency for Research on Cancer, Lyon, France.
Marcela GuevaraEscuela Andaluza de Salud Pública (EASP), 18011Granada, Spain.
Pauline FrenoyDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Rosario TuminoHyblean Association for Epidemiology Research, AIRE ONLUS Ragusa, Italy.
Salvatore PanicoSchool of Medicine, Federico II University, Naples, Italy.
Verena KatzkeParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Xuan RenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Paolo VineisCancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, UK.
Pietro FerrariNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Carl LachatDepartment of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.ORCID 0000-0002-1389-8855
Inge HuybrechtsNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveWhile associations of ultra-processed food (UPF) consumption with adverse health outcomes are accruing, its environmental and food biodiversity impacts remain underexplored. This study examines associations between UPF consumption and dietary greenhouse gas emissions (GHGe), land use and food biodiversity.

designProspective cohort study. Linear mixed models estimated associations between UPF intake (g/d and kcal/d) and GHGe (kg CO

participants368 733 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

settingEurope.

resultsStronger associations were found for UPF consumption in relation with GHGe and land use compared with unprocessed or minimally processed food consumption. Substituting UPF with unprocessed or minimally processed foods was associated with lower GHGe (8·9 %; 95 % CI: -9·0, -8·9) and land use (9·3 %; -9·5; -9·2) when considering consumption by gram per day and higher GHGe (2·6 %; 95 % CI: 2·5, 2·6) and land use (1·2 %; 1·0; 1·3) when considering consumption in kilocalories per day. Substituting UPF by unprocessed or minimally processed foods led to negligible differences in DSR, both for consumption in grams (-0·1 %; -0·2; -0·1) and kilocalories (1·0 %; 1·0; 1·1).

conclusionUPF consumption was strongly associated with GHGe and land use as compared with unprocessed or minimally processed food consumption, while associations with food biodiversity were marginal. Substituting UPF with unprocessed or minimally processed foods resulted in differing directions of associations with environmental impacts, depending on whether substitutions were weight or energy based.

Indexed as

BiodiversityDietEnvironmentFast FoodsFood HandlingAdultAgedEuropeFemaleFood, ProcessedGreenhouse GasesHumansMaleMiddle AgedProspective StudiesGreenhouse GasesEnvironmental impactFood biodiversityFood processingUltra-processed foods

Identifiers

PMID40931427
PMCPMC12722073

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