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The Effectiveness Of Mindfulness-Based Behavior - Cognitive Therapy In Reducing Symptoms Of Depression In People With Persistent Depression

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Author
Rajabpouranvar, Nazli
Hatami, Mohammad
Rezini, Hadi Hashemi
Type
Article
Date
2016-07
Language
en_US
Metadata
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Abstract
Introduction: persistent depression disorder is a common problem and mindfulness-based cognitivebehavioral therapy has considered as effective treatments in this field. Objective: The aim of this study was to assess the effectiveness of mindfulness-based behavior - cognitive therapy in reducing symptoms of depression in people with persistent depression. Method: Two patients with persistent depression were selected through convenience sampling. Each six times by the mindfulness questionnaire (FFMQ) Bauer, emotion regulation difficulties questionnaire (DERS) and Beck Depression Inventory (BDI-II) were evaluated. The study use single participants multiple baselines, the data collected using repeated measures analysis and data analysis using graphs were analyzed. Formula cure rate and recovery detection criteria for judging the recovery rate was applied. Results: participants with persistent depressive disorder with high percentages of recovery in the post-treatment and 30-day follow-up study proved its effectiveness in all the variables. Conclusion: Mindfulness-based behavior-cognitive therapy in reducing symptoms of depression in people with persistent depression is effective. Therefore, clinicians should attend it more.
Subject
Cognitive therapy
mindfulness
Cognitive emotion
persistent depression disorder
URI
http://hdl.handle.net/11413/1555
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  • Cilt 6 Temmuz Özel Sayı / Volume 6 July Special Edition [41]

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İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS