Fibromyalgia and Depression: A Network Analysis Approach

IF 4.4 2区心理学 Q2 PSYCHIATRY

Behavior Therapy Pub Date : 2025-11-01 Epub Date: 2025-06-28 DOI:10.1016/j.beth.2025.06.003

Tal Malka, Hadar Marom-Harel, Lee Frumer, Nancy Agmon-Levin, Renen Taub, Ittai Glick, Roee Admon, Shir Hanuka, Naama Peretz-Tamari, Adam Brown, Danny Horesh

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引用次数: 0

Abstract

Fibromyalgia (FM) is a complex disorder characterized by chronic and widespread musculoskeletal pain. FM and depression are highly comorbid; however, their relationship remains unclear. In line with the hypothesis that there are bidirectional relationships between symptoms of both disorders, a network analysis was conducted. This method is a graphical representation of a partial correlation matrix between individual symptoms, which enables an understanding of how these symptoms relate to one another.

Data were pooled from three studies conducted on patients with FM (n = 219). Well-established network analyses methods were used to illustrate the network of FM and depressive symptoms, determine the centrality and bridge strength of each symptom, and identify clusters from within the data.

Most clusters detected included both FM and depression symptoms. The most central symptoms that also exhibited high bridge strength were cognitive and psychological: (1) negative affect, and (2) memory problems. Surprisingly, pain did not emerge as central to this network.

Utilizing a network analysis approach to examine symptom-to-symptom relationships yielded novel insight into the maintenance of this comorbidity. The research and clinical implications of the findings, such as developing treatments targeting the most central symptoms and avenues for further research, are discussed.

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纤维肌痛与抑郁：一种网络分析方法

纤维肌痛（FM）是一种以慢性和广泛的肌肉骨骼疼痛为特征的复杂疾病。FM和抑郁症高度共病；然而，他们的关系仍不清楚。根据两种疾病的症状之间存在双向关系的假设，进行了网络分析。这种方法是单个症状之间部分相关矩阵的图形表示，使人们能够了解这些症状之间的关系。数据来源于对FM患者进行的三项研究（n = 219）。我们使用成熟的网络分析方法来说明FM和抑郁症状之间的网络，确定每种症状的中心性和桥梁强度，并从数据中识别聚类。大多数检测到的集群包括FM和抑郁症状。同样表现出高桥强度的最核心症状是认知和心理：(1)负面情绪，(2)记忆问题。令人惊讶的是，疼痛并没有出现在这个网络的中心。利用网络分析方法来检查症状与症状之间的关系，对这种合并症的维持产生了新的见解。讨论了研究结果的研究和临床意义，例如开发针对最核心症状的治疗方法和进一步研究的途径。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behavior Therapy Multiple-

CiteScore

7.40

自引率

2.70%

发文量

113

审稿时长

121 days

期刊介绍： Behavior Therapy is a quarterly international journal devoted to the application of the behavioral and cognitive sciences to the conceptualization, assessment, and treatment of psychopathology and related clinical problems. It is intended for mental health professionals and students from all related disciplines who wish to remain current in these areas and provides a vehicle for scientist-practitioners and clinical scientists to report the results of their original empirical research. Although the major emphasis is placed upon empirical research, methodological and theoretical papers as well as evaluative reviews of the literature will also be published. Controlled single-case designs and clinical replication series are welcome.