The Associations of Mindfulness and Self-Compassion on Quality of Life for Patients with Multiple Sclerosis, a Cross-Sectional Study from Turkey.

IF 2.7 4区医学 Q2 PSYCHIATRY

Psychiatry-Interpersonal and Biological Processes Pub Date : 2025-03-18 DOI:10.1080/00332747.2025.2472427

Zeynep Özdemir, Erkan Acar, Barış Sancak, Burcu Goksan Yavuz

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引用次数: 0

Abstract

Objective: The aim of this study is to investigate the associations between self-compassion, mindfulness, emotional factors and multiple sclerosis (MS) related quality of life among the individuals with MS in Istanbul, Turkey.

Results: One hundred and thirteen MS patients participated in this cross-sectional study. In the linear regression model, older age, higher levels of disability, and higher anxiety levels significantly predicted lower MS related quality of life (p = .045, p = .023, p ≤ .001, respectively). Mindfulness component of the self-compassion scale significantly predicted better MS related quality of life (p = .007). The self-kindness and mindfulness subscale scores of the Self-Compassion Scale were positively and significantly correlated with the total scores of the Multiple Sclerosis International Quality of Life Questionnaire (r = .324, p = .003; r = .314, p = .003, respectively).

Discussion: These findings indicate that a high level of self-compassion and mindfulness has a positive impact on the quality of life in patients with multiple sclerosis. Considering these effects within social dimensions, such as family and friendship, may contribute to improving patients' overall quality of life.

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来源期刊

Psychiatry-Interpersonal and Biological Processes 医学-精神病学

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Internationally recognized, Psychiatry has responded to rapid research advances in psychiatry, psychology, neuroscience, trauma, and psychopathology. Increasingly, studies in these areas are being placed in the context of human development across the lifespan, and the multiple systems that influence individual functioning. This journal provides broadly applicable and effective strategies for dealing with the major unsolved problems in the field.