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Volume 23, Issue 3 (12-2025)                   RBS 2025, 23(3): 604-615 | Back to browse issues page

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Sedighi Arfaee F, Pourbagheri A. Predicting Death Anxiety Based on Intolerance of Ambiguity, Metacognitive Beliefs, and Anxiety Sensitivity in Nurses. RBS 2025; 23 (3) :604-615
URL: http://rbs.mui.ac.ir/article-1-2023-en.html
1- Associate Prof. of Psychology, Faculty of Humanities, University of Kashan, Kashan, Iran. , fsa@Kashanuni.ac.ir
2- PhD Student, Department of psychology, Faculty of Humanities, University of Kashan, Kashan, Iran.
Abstract:   (25 Views)
Aim and Background: The aim of the present study was to predict death anxiety based on intolerance of ambiguity, metacognitive beliefs, and anxiety sensitivity in nurses

Methods and Materials:The present study is applied in terms of its purpose and is a descriptive and correlational study in terms of its method. The study population was all nurses in hospitals in Yazd in 1403. From this population, 230 participants were selected through convenience sampling. Participants were selected based on the inclusion and exclusion criteria in the study and responded to the Templer Death Anxiety Questionnaire (1970), McLean Tolerance of Ambiguity Questionnaire (1993), Wells and Cartwright Hutton Metacognitive Beliefs Questionnaire (1997), and Floyd, Garfield, and El Sota Anxiety Sensitivity Questionnaire (2005). The results were analyzed using SPSS version 26 through Pearson correlation and multiple regression analysis.

 
Findings: The results presented in this study indicated that intolerance of ambiguity by 42.1%, metacognitive beliefs by 30.9%, and anxiety sensitivity by 37.8% were able to predict death anxiety in nurses, and since the significance level for this variable was less than 0.05,
Conclusions:it can be concluded that this effect was significant. Therefore, it is possible to prevent this from happening in nurses by implementing programs that reduce death anxiety in them.

 
Full-Text [PDF 1471 kb]   (17 Downloads)    
Type of Study: Research | Subject: Special
Received: 2025/10/27 | Accepted: 2025/12/21 | Published: 2025/12/1

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