Evidence map›Paper›PMID 41622148›Full record

ArticleBMC primary care2026

Investigating predictive factors of participation in colorectal cancer screening based on the Preventive Health Model (PHM) and health literacy.

Maryam Mohammadi, Sahar Mohammadnabizadeh

Abstract read
In one paragraph

Article in BMC primary care, 2026. 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
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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

2 authors.

Maryam MohammadiSocial Determinants of Health Research Centre, Mashhad University of Medical Sciences, P.O. Box: 9177949224, Mashhad, Iran.
Sahar MohammadnabizadehSocial Determinants of Health Research Centre, Mashhad University of Medical Sciences, P.O. Box: 9177949224, Mashhad, Iran. nabizadeh.sahar@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer is a leading cause of cancer-related morbidity globally. Early detection through screening can markedly reduce mortality; however, participation remains suboptimal across diverse populations, including Iran. Understanding predictors of screening behaviour is essential to inform effective interventions. This study investigates predictors of colorectal cancer screening participation, framed by the Preventive Health Model (PHM) with health literacy as a key construct.

methodsA cross-sectional survey was administered to employees aged 40 and older at a university. Participants completed validated instruments measuring PHM constructs and health literacy. Data were analysed with SPSS using multivariate regression to identify independent predictors of screening uptake.

resultsHigher levels of self-efficacy (p = 0.001, ß=0.44), perceived susceptibility (p = 0.002, ß=0.32), intention (p = 0.006, ß=0.27), and social support (p = 0.009, ß=0.22) were all significantly associated with participation in colorectal cancer screening, with self-efficacy being the strongest predictor. Conversely, there were no significant relationships found between cancer worries (p = 0.09, ß=-0.08), response efficacy (p = 0.40, ß=0.04), health literacy (p = 0.09, ß=0.08), and colorectal cancer screening.

conclusionsHealth literacy supports comprehension but self-efficacy and social support more strongly predict screening participation. Interventions should prioritize boosting self-efficacy and fostering supportive environments to enhance uptake.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerHealth LiteracyPatient Acceptance of Health CareAdultAgedCross-Sectional StudiesFemaleHealth Belief ModelHealth Knowledge, Attitudes, PracticeHumansIntentionIranMaleMass ScreeningMiddle AgedColorectal cancerHealth literacyPreventive health modelScreening

Identifiers

PMID41622148
PMCPMC12955187

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LicenceCC BY-NC-ND
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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.