Evidence map›Paper›PMID 39968234›Full record

ArticleInternational journal of public health2025

Smoking Avoidance, Physical Activity and Diet as Preventative Behaviours for Lung, Prostate and Colorectal Cancer - A Comparison of the Extended Parallel Process Model Groups.

Katarzyna Domosławska-Żylińska, Dorota Włodarczyk

Abstract readComparative Study
In one paragraph

Article in International journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

2 authors.

Katarzyna Domosławska-ŻylińskaDepartment of Education and Communication, National Institute of Public Health NIH - National Research Institute, Warsaw, Poland.
Dorota WłodarczykDepartment of Health Psychology, Medical University of Warsaw, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: An analysis of men's perceptions of the role of three health behaviours (smoking avoidance, physical activity, and diet) in relation to the subjective threat of lung, prostate, and colorectal cancers, with adoption of the Extended Parallel Process Model (EPPM). Methods: The study was conducted using a survey questionnaire by Computer Assisted Web Interviewing on a representative sample of 1,000 male Polish citizens aged 18-65. Results: Prostate cancer was considered the most likely and most severe type of cancer. A healthy diet was the intervention that was considered the most effective and the one most likely to be implemented for colorectal cancer. Respondents perceived smoking avoidance to be the most effective intervention, while considering this to be the least feasible strategy to implement for lung cancer. In all of the behaviours, the Indifferent group was the most numerous. Belonging to the EPPM groups was mainly associated with educational level, financial situation, and self-assessed health status. Conclusion: The need to implement interventions aimed at: increase the perceived risk of smoking in the context of lung cancer incidence, increase men's self-efficacy in smoking avoidance and reduce the level of perceived losses from undertaking a healthy diet and smoking avoidance.

Indexed as

Colorectal NeoplasmsDietExerciseHealth BehaviorLung NeoplasmsProstatic NeoplasmsSmoking CessationAdolescentAdultAgedHumansMaleMiddle AgedPolandSmokingSurveys and Questionnairescolon cancerdietEPPMlung canceroncologyphysical activityprostate cancer

Identifiers

PMID39968234
PMCPMC11832310

What OpenQuestion holds

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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.