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The Role of Cognitive Emotion Regulation Strategies and Perceived Social Support in Predicting the Social Adjustment of Nursing Students
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Ali Kazemi rezaei    , Maryam Mohammadi * , Azizullah Tajikesmaili , Behnaz Pishgahi |
| Kharazmi University , marryam_mohammady@yahoo.com |
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Abstract: (3950 Views) |
Introduction: Students, especially nurses, have many problems in social adjustment. The purpose of this study was to investigate the role of cognitive emotion regulation strategies and perceived social support in predicting nurses' social adjustment.
Methods: This research is a descriptive correlation study. 122 nursing students studying in Islamic Azad University of Tehran Medical Sciences during the academic year of 1389-99 were selected by convenience sampling method and responded to social adjustment questionnaires, short form of Cognitive Emotion Regulation Questionnaire and Multidimensional Perceived Social Support Scale. They gave. Data were analyzed using stepwise multiple linear regression and SPSS-24 statistical software.
Results: The results showed that among the predictor variables included in the regression model, family support and adaptive emotion regulation strategies had a significant role in predicting nurses 'social adjustment and these two variables could explain 0.49 of the variance of nurses' social adjustment variable.
Conclusion: Understanding the factors affecting nurses' social adjustment enables them to predict and plan appropriately to help them with their mental health and to prevent the spread of psychosocial disorders. According to the results of this study, knowing the essential role of family support and emotion regulation skills in social adjustment, we can consider these variables in educational programs and adopt appropriate strategies to promote them. Improve nurses' social adjustment in work and family environments and situations. |
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| Keywords: Cognitive emotion regulation, social support, social adjustment, nurses |
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Full-Text [PDF 264 kb]
(1954 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2020/03/22 | Accepted: 2020/06/30 | Published: 2020/06/30 | ePublished: 2020/06/30
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