Evidence map›Paper›PMID 40987569›Full record

ArticleJournal of epidemiology and community health2025

Does lifestyle explain the relationship between socioeconomic position and multimorbidity of cancer and cardiometabolic diseases? A mediation analysis applied to the European Prospective Investigation into Cancer and Nutrition.

Luca Manfredi, Federica Buscema, Maria Teresa Giraudo, Barbara Sodano, Lisa Padroni, Cinzia Destefanis, Heinz Freisling, Pietro Ferrari, Giulia Cesaroni, Sergio Uzzau and 20 more

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

30 authors.

Luca ManfrediCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy luca.manfredi@unito.it.ORCID http://orcid.org/0000-0002-6530-4326
Federica BuscemaCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Maria Teresa GiraudoCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Barbara SodanoCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Lisa PadroniCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Cinzia DestefanisCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Heinz FreislingInternational Agency for Research on Cancer, Lyon, France.
Pietro FerrariInternational Agency for Research on Cancer, Lyon, France.
Giulia CesaroniDepartment of Epidemiology, Lazio Region Health Service, Rome, Italy.
Sergio UzzauDepartment of Biomedical Sciences, Unit of Microbiology and Virology, University of Sassari, Sassari, Italy.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Calogero SaievaClinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy.
Rosario TuminoHyblean Association for Epidemiology Research, AIRE - ONLUS, Ragusa, Italy.
Elisabete WeiderpassInternational Agency for Research on Cancer, Lyon, France.
Komodo MattaInternational Agency for Research on Cancer, Lyon, France.
Salvatore VaccarellaInternational Agency for Research on Cancer, Lyon, France.
Marcela GuevaraInstituto de Salud Pública y Laboral de Navarra, Pamplona, Spain.
Jytte HalkjærDanish Cancer Society Institute of Cancer Biology, Copenhagen, Denmark.
Anne TjønnelandThe Institute of Cancer Epidemiology, Danish Cancer Society Research Center, Unit of Diet, Genes and Environment, Copenhagen, Denmark.
Marta Crous-BouUnit of Nutrition and Cancer, Catalan Institute of Oncology Cancer Epidemiology Research Programme, Barcelona, Spain.
Verena KatzkeDeutsches Krebsforschungszentrum, Heidelberg, Germany.
Toktam PourDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-0235-3363
Salvatore PanicoDipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Napoli, Italy.
Valeria PalaEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Sandar Tin TinCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Christina C DahmDepartment of Public Health, Section for Epidemiology, Aarhus University, Aarhus, UK.
MªDolores ChirlaqueCIBER Epidemiology and Public Health CIBERESP, Madrid, Spain.
Carlotta SacerdoteDepartment of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Fulvio RicceriCentre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.ORCID http://orcid.org/0000-0001-8749-9737

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundMultimorbidity is socially patterned, with lower socioeconomic position (SEP) linked to higher risk. We examined whether a Healthy Lifestyle Index (HLI) mediates the SEP-multimorbidity association and whether pathways differ by sex.

methodsWe used data from 244 886 participants in the European Prospective Investigation into Cancer and Nutrition study. HLI was derived from smoking, alcohol consumption, physical activity, body mass index and diet. SEP was categorised into low, medium and high-SEP based on education. Multimorbidity was defined as the coexistence of at least two diseases among cancer, type 2 diabetes and cardiovascular diseases. Logistic regression assessed SEP-HLI association, Cox regression SEP-multimorbidity and HLI-multimorbidity associations. Counterfactual mediation analysis estimated the natural indirect effect (NIE) and pure direct effect (PDE). Analyses were stratified by sex.

resultsParticipants from lower SEP categories were older with worse health outcomes. Women had a healthier lifestyle than men across all SEP levels. In men, the hazard ratio of developing multimorbidity was 1.40 (95% CI: 1.26 to 1.54) for those with low SEP compared with high SEP, in women 1.74 (95% CI: 1.52 to 2.00). Comparing low versus high SEP, PDE for men was 1.28 (95% CI: 1.15 to 1.41), NIE was 1.09 (95% CI: 1.07 to 1.11) (proportion mediated (PM)=29%). In women, PDE was 1.65 (95% CI: 1.47 to 1.90), NIE 1.05 (95% CI: 1.03 to 1.06) (PM=11%).

conclusionsLifestyle behaviours partly mediated the SEP-multimorbidity association, underscoring the need to integrate considerations of socioeconomic disparities into the planning of lifestyle interventions.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Healthy LifestyleLife StyleMultimorbidityNeoplasmsSocial ClassAdultAgedEuropeExerciseFemaleHumansMaleMediation AnalysisMiddle AgedEPIDEMIOLOGYHealth inequalitiesHealthy AgingLIFE STYLEPUBLIC HEALTH

Identifiers

PMID40987569
PMCPMC12703236

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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.