Evidence map›Paper›PMID 40462043›Full record

ArticleBMC public health2025

Relationship between health literacy, health fatalism and attitudes towards cancer screenings: latent profile analysis.

Fatoş Uncu, Hasan Evcimen, Necmettin Çiftci, Metin Yıldız

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Fatoş UncuDepartment of Nursing, Firat University, Elazığ, Turkey.ORCID http://orcid.org/0000-0001-8077-4652
Hasan EvcimenDepartment of Therapy and Rehabilitation, Muş Alparslan University, Vocational School of Health Services, Muş, Turkey.ORCID http://orcid.org/0000-0003-4352-101X
Necmettin ÇiftciDepartment of Nursing, Faculty of Health Sciences, Muş Alparslan University, Campus, Muş, 49100, Turkey.ORCID http://orcid.org/0000-0002-4713-4212
Metin YıldızDepartment of Midwifery, Sakarya University, Sakarya, Turkey. metinyildiz@sakarya.edu.tr.ORCID http://orcid.org/0000-0003-0122-5677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to examine the relationship between health literacy, health fatalism and attitudes towards cancer screening using latent profile analysis (LPA).

methodsThis study was conducted in a cross-sectional descriptive design between December 2023- December 2024. The study was conducted with 1262 adult individuals living in a province in eastern Turkey.

resultsAs a result of LPA, Class 1 was named as "High Health Awareness" and when the indicators in Class 1 were analyzed, it was found that health literacy and attitude towards cancer screenings were high and health fatalism was low. Class 2 is labeled as "Low Health Awareness" and when the indicators in this class are examined, it is determined that health literacy and attitude towards cancer screening are low and health fatalism is high.

conclusionsIn our study, individuals were divided into two classes as "High Health Awareness" and "Low Health Awareness" according to the level of health awareness; in the first class, health literacy and attitudes towards cancer screenings were high and health fatalism was low; in the second class, health literacy and attitudes were low and health fatalism was high.

Indexed as

Attitude to HealthEarly Detection of CancerHealth Knowledge, Attitudes, PracticeHealth LiteracyNeoplasmsAdultAgedCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedSurveys and QuestionnairesTurkeyYoung AdultAttitudeCancer ScreeningsHealth fatalismHealth literacyLatent profile analysis

Identifiers

PMID40462043
PMCPMC12131588

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.