Evidence map›Paper›PMID 41062080›Full record

ArticleApplied clinical informatics2025

Better Attitudes toward Cybersecurity and Greater Self-Control Predict Lower Risky Online Behaviors among Nurses.

Elham H Othman, Wasem I Al Haj, Mohammad R Alosta, Yousef Qan'Ir, Mohannad Eid Aburuz, Wesam Taher Almagharbeh

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Elham H OthmanFaculty of Nursing, Applied Science Private University, Amman, Jordan.ORCID 0000-0002-2438-0429
Wasem I Al HajRiyadh, Saudi Arabia.ORCID 0009-0004-1969-891X
Mohammad R AlostaSchool of Nursing, Zarqa University, Zarqa, Jordan.ORCID 0000-0003-1710-3391
Yousef Qan'IrSchool of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States.ORCID 0000-0002-8615-4531
Mohannad Eid AburuzCollege of Nursing and Midwifery, Mohammad Bin Rashid University of Medicine and Health Science, Dubai Health, Dubai, United Arab Emirates.ORCID 0000-0002-2773-4405
Wesam Taher AlmagharbehMedical and Surgical Nursing Department, Faculty of Nursing, University of Tabuk, Saudi Arabia.ORCID 0000-0002-8435-1208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study examined the moderating effect of self-control on the relationship between attitudes toward cybersecurity and risky online behaviors among direct care nurses.A cross-sectional study collected data from 260 direct care nurses in Saudi Arabia using a self-reported questionnaire. Hierarchical multiple regression analysis and simple slope analysis examined the moderation effect of self-control on the relationship between attitudes toward cybersecurity and risky online behaviors.We found that a better attitude toward cybersecurity and greater self-control predicted lower risky online behaviors. Simple slope tests revealed a significant negative association between attitude toward cybersecurity and risky online behaviors at low levels of self-control, but this association disappears at high levels of self-control, meaning that high levels of self-control have a protective/moderating effect on the relationship between attitude toward cybersecurity and risky online behaviors.Self-control moderates the effect of attitudes on online practices. The negative attitudes' influence on risky online behaviors is stronger when self-control is low. On the other hand, at high levels of self-control, individuals may engage in safer practices regardless of their attitudes.

Indexed as

Attitude of Health PersonnelInternetNursesRisk-TakingSelf-ControlAdultComputer SecurityCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID41062080
PMCPMC12507492

What OpenQuestion holds

Textmetadata
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.