Evidence map›Paper›PMID 41068976›Full record

ArticleBMC psychology2025

Nurses' attitudes towards artificial intelligence: relationship between cognitive flexibility and emotion regulation.

Nazlı Hacıalioğlu, Esra Boyraz Şeker, Feridun Kaya

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Nazlı HacıalioğluDepartment of Public Health Nursing, Faculty of Nursing, Ataturk University, Erzurum, Turkey.ORCID http://orcid.org/0000-0001-9758-0790
Esra Boyraz ŞekerDepartment of Public Health Nursing, Faculty of Nursing, Ataturk University, Erzurum, Turkey. esra.boyraz.seker23@ogr.atauni.edu.tr.ORCID http://orcid.org/0000-0002-7614-8197
Feridun KayaFaculty of Letters, Department of Psychology, Division of Psychometrics, Ataturk University, Erzurum, Turkey.ORCID http://orcid.org/0000-0001-9549-6691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToday, rapidly advancing artificial intelligence technologies provide significant changes in the health field. These technologies, which have a wide range of applications in nursing practices, enhance the quality of healthcare and make the care process more efficient. Therefore, nurses' attitudes towards artificial intelligence and the effective use and adoption of these technologies in patient care are significant. In this study, two hypotheses were tested: (1) whether cognitive flexibility is associated with positive/negative attitudes toward artificial intelligence, and (2) whether emotion regulation is associated with positive/negative attitudes toward artificial intelligence.

methodThis study employed a correlational and cross-sectional research design. It was completed with 377 nurses working in a province in the East of Turkey who voluntarily agreed to participate in the study. Data were collected using the Introductory Information Form, Attitude Towards Artificial Intelligence Scale, Cognitive Flexibility Inventory, and Emotion Regulation Scale. These measurement tools were administered to the nurses using the face-to-face interview method. Multiple linear regression analyses were used to evaluate the data.

resultsAs a result of the multiple regression analyses conducted, it was found that cognitive flexibility and reappraisal together were associated with 7% of the variance in positive attitudes toward artificial intelligence (F

conclusionThe study concludes that nurses' emotional regulation skills play an important role in shaping their attitudes toward artificial intelligence, while cognitive flexibility does not contribute significantly. Nurses with higher emotional regulation skills tend to report a more positive attitude toward artificial intelligence. In this respect, education and awareness programs prioritizing the improvement of these skills in nurses may contribute to the adoption of artificial intelligence technologies.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelCognitionEmotional RegulationNursesAdultCognitive FlexibilityCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTurkeyYoung AdultArtificial intelligenceAttitudesCognitive flexibilityEmotion regulationNursing

Identifiers

PMID41068976
PMCPMC12513020

What OpenQuestion holds

Textmetadata
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.