Evidence map›Paper›PMID 32587737›Full record

ArticleNursing open2020

The prediction of cervical cancer screening beliefs based on big five personality traits.

Farzaneh Rashidi Fakari, Farnaz Mohammadzadeh, Fahimeh Rashidi Fakari, Marzieh Saei Ghare Naz, Giti Ozgoli

Abstract read
In one paragraph

Article in Nursing open, 2020. 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

5 authors.

Farzaneh Rashidi FakariStudent Research Committee Department of Reproductive Health School of Nursing and Midwifery Shahid Beheshti University of Medical Sciences Tehran Iran.
Farnaz MohammadzadehStudent Research Committee Department of Reproductive Health School of Nursing and Midwifery Shahid Beheshti University of Medical Sciences Tehran Iran.
Fahimeh Rashidi FakariStudent Research Committee Department of Reproductive Health School of Nursing and Midwifery Shahid Beheshti University of Medical Sciences Tehran Iran.
Marzieh Saei Ghare NazStudent Research Committee Department of Reproductive Health School of Nursing and Midwifery Shahid Beheshti University of Medical Sciences Tehran Iran.
Giti OzgoliStudent Research Committee Department of Reproductive Health School of Nursing and Midwifery Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID 0000-0003-2111-7024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The present study was designed with the aim to predict Pap smear screening beliefs based on Big Five personality traits. Design: The present cross-sectional study was conducted with 235 women over 18 years of age in Tehran (Iran) in 2018. Methods: The data collection tools included the demographic information questionnaire, Pap Smear Belief Questionnaire (PSBQ) and the 10-item measure of the Big Five personality traits. Results: People with Agreeableness personality trait were more faced with risks and Barriers and factors associated with Pap smear screening beliefs; and those with Conscientiousness personality trait were more faced with risks and Barriers. Results of the present study can help to understand how the personality affects decision-making and interactions. Therefore, consequences of counselling about screening beliefs and behavioural changes can be improved by personality-based education.

Indexed as

Uterine Cervical NeoplasmsAdolescentAdultCross-Sectional StudiesEarly Detection of CancerFemaleHumansIranPersonalitycervical cancernursesnursingpersonalityscreening

Identifiers

PMID32587737
PMCPMC7308704

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.