Evidence map›Paper›PMID 41816635›Full record

ArticleThe Lancet regional health. Europe2026

Exploring individual and contextual determinants of cancer prevention behaviour change in the European Union: a qualitative study to inform implementation of the European Code Against Cancer.

Ariadna Feliu, Bibiana Barrera, Vanessa Boland, Amanda Drury, Marian-Gabriel Hâncean, Marius Geantă, Paweł Koczkodaj, Sophie Mulcahy-Symmons, Patricia Pinto, Vaughan W Rees and 5 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

15 authors.

Ariadna FeliuEnvironmental and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.
Bibiana BarreraDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany.
Vanessa BolandSchool of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland.
Amanda DrurySchool of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland.
Marian-Gabriel HânceanDepartment of Sociology, University of Bucharest, Bucharest, Romania.
Marius GeantăCentre for Innovation in Medicine, Bucharest, Romania.
Paweł KoczkodajMaria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Sophie Mulcahy-SymmonsSchool of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland.
Patricia PintoPortuguese League Against Cancer, Porto, Portugal.
Vaughan W ReesDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sarah SheehanSchool of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland.
Ivan TchalakovPlovdivski Universitet Paisiy Hilendarski, Plovdiv, Bulgaria.
Helena VučkovićCroatian League Against Cancer, Zagreb, Croatia.
Hajo ZeebDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany.
Carolina EspinaEnvironmental and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer prevention is central to Europe's Beating Cancer Plan (ECBP), with the European Code Against Cancer (ECAC) providing evidence-based recommendations to reduce cancer risk. The fourth edition (ECAC4) focuses on individual behaviour change, but effective implementation requires insight into individual and structural factors influencing adoption. We explored barriers and facilitators to adopting ECAC4 recommendations across nine EU Member States to inform the forthcoming edition. Methods: An exploratory multi-country qualitative study with 141 adults aged 18-65 years, with no prior cancer diagnosis, from Bulgaria, Croatia, France, Germany, Ireland, Poland, Portugal, Romania, and Spain was conducted. Semi-structured interviews examined perceived capability, opportunity, and motivation related to the 12 ECAC4 recommendations. Transcripts were translated, coded, and thematically analysed using ATLAS.ti, with high intercoder agreement (κ = 0.88). Themes were mapped onto the COM-B and Theoretical Domains Framework (TDF) to identify behavioural determinants. Findings: Barriers and facilitators were identified across all COM-B domains. Capability barriers included low health literacy, misinformation, and limited self-management skills; facilitators included early health education and reliable information. Opportunity barriers encompassed cultural norms, economic constraints, environmental limitations, and healthcare access issues; facilitators included supportive social networks, universal healthcare, and enabling policies. Motivation barriers involved entrenched habits and fear, while facilitators included personal health goals, family responsibilities, and determination. Interpretation: Adoption of ECAC4 recommendations is shaped by interlinked individual, social, and structural determinants. Multi-level implementation strategies, improving health literacy, ensuring equitable access, strengthening supportive environments, and tailoring motivational approaches, are essential. These findings directly inform ECAC5 and support the objectives of ECBP. Funding: This project was funded by the Cancer Prevention Europe (CPE) consortium and additionally supported by the budget of IARC's Environment and Lifestyle Epidemiology Branch.

Indexed as

Behaviour changeCancer preventionCOM-B modelEuropean Code Against CancerImplementation scienceIndividual and contextual determinants

Identifiers

PMID41816635
PMCPMC12972739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.