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了解纤维肌痛综合征中执行功能与心理变量之间的关联:一种网络分析方法。

Understanding the Associations between Executive Function and Psychological Variables in Fibromyalgia Syndrome: A Network Analysis Approach.

作者信息

Pacho-Hernández Juan C, Fernández-Palacios Francisco G, Tejera-Alonso Ángela, Fernández-de-Las-Peñas César, Varol Umut, Valera-Calero Juan A, Fernández-Méndez Luis M, Cigarán-Mendez Margarita

机构信息

Department of Psychology, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain.

Escuela Internacional de Doctorado, Universidad Rey Juan Carlos, 28933 Alcorcón, Spain.

出版信息

Healthcare (Basel). 2024 Aug 22;12(16):1678. doi: 10.3390/healthcare12161678.

Abstract

The aim of this study was to quantify the multivariate relationships between clinical, cognitive performance, executive functioning, and psychological outcomes in women with fibromyalgia (FMS) using network analyses. Demographic (age, height, weight), clinical (pain history, pain intensity, and related disability), neurocognitive (D2 Attention test, Rey-Osterrieth Complex Figure for visual perception, "Digits D/R/I" tests of the WAIS-IV battery for working memory, the 5-Digit Test for mental inhibition, the Symbol Search for processing speed and the Zoo Test for planning/decision making) and psychological (depressive symptoms, anxiety levels, sleep quality, pain hypervigilance) variables were collected in 129 women with FMS and 111 healthy women. Network analyses were conducted separately for each group to quantify the adjusted correlations between the modeled variables and to assess their centrality indices (i.e., connectivity with other symptoms in the network and their importance in the network). The network identified 74 associations in FMS women and 46 associations in controls with small differences. The strongest correlations in both groups were found between different attention variables: d2_CON with d2_C, d2_O with d_2TR, and d2_CON with d2_TA. The most central variables were d2_TA, d2_C, and d2_CON (highest strength centrality in both groups) and anxiety levels and pain hypervigilance (highest harmonic centrality in FMS women). The strength centrality of the network was stable for women with FMS (CScor0.7: 0.68) but not for healthy women (CScor0.7: 0.28). This study found that attention variables are most relevant within a neurocognitive network and that psychological variables are most important for the treatment of women with FMS. The clinical implications of the current findings, such as the development of treatments targeting these variables, are discussed.

摘要

本研究的目的是通过网络分析量化纤维肌痛(FMS)女性患者的临床、认知表现、执行功能和心理结果之间的多变量关系。收集了129名FMS女性患者和111名健康女性的人口统计学(年龄、身高、体重)、临床(疼痛病史、疼痛强度及相关残疾情况)、神经认知(D2注意力测试、用于视觉感知的雷-奥斯特里赫复杂图形测试、韦氏成人智力量表第四版中用于工作记忆的“数字广度顺背/倒背/中间插入”测试、用于心理抑制的5位数字测试、用于处理速度的符号搜索测试以及用于计划/决策的动物园测试)和心理(抑郁症状、焦虑水平、睡眠质量、疼痛警觉性)变量。对每组分别进行网络分析,以量化模型变量之间的调整相关性,并评估其中心性指标(即与网络中其他症状的连通性及其在网络中的重要性)。该网络在FMS女性患者中识别出74种关联,在对照组中识别出46种关联,差异较小。两组中最强的相关性存在于不同的注意力变量之间:d2_CON与d2_C、d2_O与d_2TR以及d2_CON与d2_TA。最核心的变量是d2_TA、d2_C和d2_CON(两组中强度中心性最高)以及焦虑水平和疼痛警觉性(FMS女性患者中谐波中心性最高)。FMS女性患者网络的强度中心性稳定(CScor0.7: 0.68),但健康女性不稳定(CScor0.7: 0.28)。本研究发现,注意力变量在神经认知网络中最为相关,而心理变量对FMS女性患者的治疗最为重要。讨论了当前研究结果的临床意义,如针对这些变量开发治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/11353253/9d1d8d718439/healthcare-12-01678-g001.jpg

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