predict symptoms of depression based on cognitive flexibility, rumination and mindfulness in students

Journal Title: Shenakht Journal of Psychology and Psychiatry - Year 2015, Vol 2, Issue 1

Abstract

Introduction: This study aimed to predict symptoms of depression based on cognitive flexibility, rumination and mindfulness of students. Method: This design of current study was of descriptive correlational type. The study population consisted of all students enrolled in 2014-2015 school year in Tabriz Azad University, among which 180 were selected by random cluster sampling. Subjects completed cognitive flexibility Inventory (CFI), the Beck Depression Inventory 2 (BDI-II), rumination (RRS) and the Freiburg Mindfulness Inventory. Multiple regression analysis was used to analyze the data. Results: The results showed that there is a significant negative correlation between cognitive flexibility and its subsets with depression (P<0.001), and there was a significant positive correlation between rumination and depression (P<0.001). The relationship between mindfulness and depression was significant and negative (P<0.001). The results of regression analysis showed that these variables explain 57% of depression. Discussion: The results of this study have therapeutic implications based on Cognitive Flexibility Training through cognitive behavioral therapy, as well as Mindfulness Training, on rumination reduction and depression symptoms.

Authors and Affiliations

A Alizadeh, E Haji yousefi, M Farvareshi, H Zoghi

Keywords

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  • EP ID EP266582
  • DOI -
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How To Cite

A Alizadeh, E Haji yousefi, M Farvareshi, H Zoghi (2015). predict symptoms of depression based on cognitive flexibility, rumination and mindfulness in students. Shenakht Journal of Psychology and Psychiatry, 2(1), 15-29. https://europub.co.uk/articles/-A-266582