Expressive writing in patients with depressive disorder: Narrative analysis

Author:

Říha DanielORCID, ,Ševčíková MarcelaORCID,Kvapilová JustýnaORCID,Preiss MarekORCID

Abstract

Objectives. The research aims to capture the properties of the narrative structure in the texts of expressive writing in patients with depressive disorder. Sample and settings. Expressive Writing (EW) was administered to 22 patients (15 women, 7 men) at the beginning of hospitalization at a psychiatric clinic and five weeks thereafter. Research questions. What are the characteristics of the narrative structure of EWs in patients with depression? How does this structure develop during treatment? Data analysis. EWs were analysed using narrative analysis following these five basic outputs: 1) Themes, 2) Acting, 3) Values and beliefs, 4) An image of self and others, and 5) Reflection and perspective. Results. The analysis shows that the most thematically covered are categories of imprisonment in illness, fears for the future, relationships. These themes form a basis for the values and beliefs captured. The image of self in others is burdened with feelings of hopelessness, misfortune, and illness; patients compare themselves to others they consider happy and healthy. Acting is not accentuated due to the lack of strength and will to act. In this category, patients in remission exhibited an increase of acting in the 5th week after hospitalization. Limitations. The main limit of this study is the data collection method because EW does not allow to ask about certain aspects of the text and to elaborate some topics in depth.

Publisher

Institute of Psychology, Czech Academy of Sciences

Subject

General Psychology,Arts and Humanities (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3