Effectiveness of mindfulness-based cognitive therapy on negative automatic thoughts and sleep problems in female student with Depression Disorder

Document Type : Original Article

Authors

MA of Clinical Psychology, Islamic Azad University, South Tehran Branch, Tehran, Iran

Abstract

The present study was conducted aiming to investigate the effectiveness of mindfulness-based cognitive therapy on negative automatic thoughts and sleep problems in female students with Depression Disorder. It was a quasi-experimental study with pretest, posttest and control group design. The statistical population of the current study included female students with Depression Disorder in Tehran City in the academic year 2018-19. 30 female students with Depression Disorder were selected through purposive sampling method and they were randomly assigned to experiment and control groups (15 students in the experiment and 15 in the control group). The experiment group received mindfulness-based cognitive therapy intervention (Segal, Williams and Tizdel, 2013) during two months in eight seventy-five-minute sessions. The applied questionnaires in this study included Depression Questionnaire (Goldberg, 1972), Negative Automatic Thoughts Questionnaire (Holon and Kenda, 1980) and Sleep Problems Questionnaire (Bois et.al, 1989). The data from the study were analyzed through MANCOVA method using SPSS23 statistical software. The results showed that mindfulness-based cognitive therapy has significant effect on negative automatic thoughts (p<0.001) and sleep (p<0.001) in the students with Depression Disorder. Findings of the present study reveal that mindfulness-based cognitive therapy can be used as an efficient therapy to decrease negative automatic thoughts and sleep problems in the students with Depression Disorder employing techniques such as mindful thoughts, emotions and behavior

Keywords

References

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Empowering Exceptional Children
Volume 10, Issue 4
May 2020
Pages 1-12

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History

  • Receive Date: 27 November 2019
  • Revise Date: 31 March 2020
  • Accept Date: 20 April 2020

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