Moriana Juan A, Jurado-González Francisco J, García-Torres Francisco, Contreras Alba, Muñoz-Navarro Roger, González-Blanch César, Medrano Leonardo A, Ruiz-Rodríguez Paloma, Cano-Vindel Antonio
Department of Psychology, Maimónides Institute for Research in Biomedicine of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
Department of Personality, Complutense University, Madrid, Spain.
J Clin Psychol. 2022 Feb;78(2):283-297. doi: 10.1002/jclp.23217. Epub 2021 Jul 20.
Anxiety symptoms are one of the most frequent manifestations in people attending primary care, although how the symptoms are associated is unclear. This study aimed to establish the symptom structure of the Generalized Anxiety Disorder scale (GAD-7) using a novel network approach in combination with traditional analytical tools.
A sample of 1704 primary care patients with emotional disorders (i.e., anxiety, depression, and/or somatization) completed the GAD-7 to report their anxiety symptoms. We examined the GAD-7 structure using exploratory graph analysis (EGA) compared to exploratory factor analysis (EFA) and confirmatory factor analysis.
The EFA results showed a one-factor solution, but EGA revealed a two-factor solution (cognitive-emotional and somatic). "Worrying too much" and "difficulty relaxing" were the most relevant symptoms.
The results support the possible distinction between the somatic and cognitive-emotional components of the GAD-7, thus permitting more specific screening in primary care settings.
焦虑症状是初级保健就诊者最常见的表现之一,但其症状之间的关联尚不清楚。本研究旨在结合传统分析工具,采用一种新颖的网络方法来确定广泛性焦虑障碍量表(GAD-7)的症状结构。
1704名患有情绪障碍(即焦虑、抑郁和/或躯体化)的初级保健患者完成了GAD-7量表以报告其焦虑症状。与探索性因素分析(EFA)和验证性因素分析相比,我们使用探索性图形分析(EGA)来研究GAD-7量表的结构。
EFA结果显示为单因素模型,但EGA显示为双因素模型(认知-情绪和躯体)。“过度担忧”和“难以放松”是最相关的症状。
研究结果支持GAD-7量表的躯体和认知-情绪成分可能存在区别,从而有助于在初级保健环境中进行更具针对性的筛查。