Resilience and the associated factors in patients with coronary artery disease

Authors

Azam Nouri-Saeed1, Arsalan Salari2, Leila Rouhi Balasi3, Fatemeh Moaddab3,*
1Department of Psychology, Science and Research Branch, Islamic Azad University of Guilan, Rasht, Iran
2Department of Islamic Studies, Guilan University of Medical Sciences, Rasht, Iran
3Department of Nursing, Guilan Interventional Cardiovascular Research Center, Heshmat Hospital, Guilan University of Medical Sciences, Rasht, Iran
*Corresponding Author: Corresponding author: Department of Nursing, Guilan Interventional Cardiovascular Research Center, Heshmat Hospital, Guilan University of Medical Sciences, Rasht, Iran. Email:[email protected]

Journal of Nursing and Midwifery Sciences:Vol. 2, issue 2; 23-28
Published online:Aug 25, 2015
Article type:Research Article
Received:Apr 18, 2015
Accepted:Jun 22, 2015
How to Cite:Nouri-Saeed A, Salari A, Rouhi Balasi L, Moaddab F. Resilience and the associated factors in patients with coronary artery disease. J Nurs Midwifery Sci. 2015;2(2):e141297. doi: https://doi.org/10.7508/jnms.2015.02.003

Abstract

Background and Purpose: Coping strategies play a key role in the management of different diseases. Resilience and positive emotions in patients could enhance coping strategies and reduce disease complications. This study aimed to determine the level of resilience and the associated factors in patients with coronary artery disease (CAD). 
Methods: This descriptive cross-sectional study was conducted on 186 CAD patients referring to Dr. Heshmat Hospital of Rasht in 2013. Data were collected using the Connor-Davidson Resilience Scale (CD-RISC), and data analysis was performed using descriptive and inferential statistics in SPSS.
Results: In this study, mean score of resilience was 65.50±1.58 (out of 100), and 53.2% of the subjects had lower scores than the mean. Significant associations were observed between the resilience level and age, gender, education status, employment status and history of hypertension (P<0.05). According to the logistic regression, employment status was the only significant predictor of resilience.
Conclusion: According to the results of this study, since the majority of the subjects had lower scores than the mean of resilience, it is recommended that these patients be monitored for mental and psychological health. Furthermore, they should be trained on coping skills depending on their socio-demographic features.

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