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Psychosocial Adjustment in Major Depressive Disorder Based on Cognitive-behavioral Training: An Interventional Study

Document Type : Original Article

Authors

1 Department of Nursing, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran

2 Department of Mental Health and Psychiatric Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran

3 Department of Psychiatry, Research Centre for Psychiatry and Behavioural Science, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Background: Psychosocial adjustment problems can be obviously detected in patients with major depressive disorder. The present study aimed to assess the impact of cognitive-behavioral group training on psychosocial adjustment among patients with major depressive disorder.
Methods: This randomized clinical trial with pre/posttest design was conducted on 50 patients with major depressive disorder who were hospitalized in Ebnesina hospital, Shiraz, Iran. The intervention group took part in eight sessions of psychotherapy based on cognitive-behavioral approach. The participants completed Bell adjustment inventory before and two weeks after the intervention. After all, the data were analyzed using SPSS 22 software.
Results: The results revealed a significant difference between the two groups regarding the score of psychosocial adjustment after the intervention (P=0.000). Indeed, a significant difference was found in the intervention group’s adjustment score before and after the intervention (P=0.000). A significant difference was also observed between the two groups regarding the difference in the adjustment scores (P=0.000).
Conclusion: It is expected that behavioral skills alongside cognitive skills can empower the individuals’ capabilities to create more appropriate and purposeful relationships. Cognitivebehavioral training is a combination of behavioral and social skills together with modification of individuals’ attitude and cognition.

Keywords

References
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Journal of Health Sciences & Surveillance System
Volume 11, Issue 2
April 2023
Pages 371-377
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