Volume 25, Issue 4 (October & November 2022)                   J Arak Uni Med Sci 2022, 25(4): 21-31 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khashmin M, Hosseini F, Jafari S, Najafzade S, Ghasemi H, Darvishi N et al . The Role of Emotion Regulation in Predicting Depressive Symptoms in Students of Kermanshah University of Medical Sciences. J Arak Uni Med Sci 2022; 25 (4) :21-31
URL: http://jams.arakmu.ac.ir/article-1-7092-en.html
1- Department of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Virtual University of Medical Sciences, Tehran, Iran
3- Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
5- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran , Darvishi.niloufar@gmail.com
6- Student Research Committee, Urmia University of Medical Sciences, Urmia, Iran
Abstract:   (319 Views)
Introduction: Depression is an injury to the central nervous system that is caused by several factors that affect a large number of people around the world. Emotion regulation refers to the processes by which we influence what emotions we experience, when we experience them, and how we express them. The aim of this study was to investigate the role of emotion regulation in predicting depressive symptoms in students of Kermanshah University of Medical Sciences.
Methods: The present study is a descriptive correlational study. Participants were all students of the School of Nursing and Midwifery of Kermanshah University of Medical Sciences during 2020-2021. Three hundred and five participants were selected by available sampling method and randomly. Informed consent forms got from the participants, then they completed the Beck Depression Inventory - Second Edition (BDI-II) and the Cognitive Emotion Regulation Scale (CERQ-18). This research was reviewed in the ethics committee of Kermanshah University of Medical Sciences and approved with the ID IR.KUMS.REC.1400.623.
Results: In this study, the study population was 305 people, 9 of whom were excluded from statistical analysis due to incomplete answers. Total mean age was 50.08 ± 191.30 Of these, 198 (66.9%) were female and 98 (33.1%) were male. Self-blame strategies (β = 0.31, P≤0.001), positive reassessment (β = -0.26, P≤0.001), catastrophic (β = 0.26, P≤0.001), numerical importance (β = -0.12, P≤ 0.001) and positive refocus (β = -0.10, P≤0.001) in five steps predict 40% of the variance of depression. Inconsistent strategies such as self-blame and catastrophe directly and positive reassessment, insignificance and positive refocus inversely predict depression. Mahalanobis distance was used to investigate multivariate throw values. Statistical assumptions were tested by performing an initial regression analysis and evaluating the scatter plot of residues. After confirming the regression assumptions, the data were analyzed using Pearson correlation and stepwise regression. The findings of our study showed that there is a significant direct relationship between self-blame and catastrophic thinking as maladaptive strategies of cognitive emotion regulation with depression. Also in our study among adaptive emotion regulation strategies; Positive refocusing, positive reassessment, and a small number had a significant negative correlation with depression.
Conclusions: The results of our study showed that emotion regulation strategies play an important role in predicting the occurrence of depression. Therefore, it is necessary for health policy makers to strengthen adaptive emotion regulation strategies in designing and modifying interventions related to depression.
Full-Text [PDF 905 kb]   (191 Downloads)    
Type of Study: Original Atricle | Subject: Nursing
Received: 2021/12/27 | Accepted: 2023/04/25

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Arak University of Medical Sciences

Designed & Developed by : Yektaweb