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医院焦虑和抑郁量表的心理测量学支持更短的 12 项版本。

The psychometrics of the Hospital Anxiety and Depression Scale supports a shorter -12 item- version.

机构信息

Sorbonne Université, Paris, France; Hôpital La Pitie Salpêtrière, Paris, France; Institut du Cerveau et de la Moelle Epinière, France.

SGHU Paris psychiatrie et Neuroscience (Sainte-Anne Hospital, CMME), Paris, France; INSERM U1266, IPNP, Paris, France; University Paris-Descartes, Paris, France.

出版信息

Psychiatry Res. 2019 Apr;274:372-376. doi: 10.1016/j.psychres.2019.02.074. Epub 2019 Feb 28.

Abstract

The diagnosis of patients suffering from both anxiety and depression is complex due to mixed effects of the two disorders. This complexity has hardened the task to find an adapted treatment for these patients. Consequently, several instruments, known as depression anxiety scales, have been developed and are now used internationally by physicians to determine the diagnosis of anxiety and depression and treat the patients accordingly. This study aims at testing the consistency and reliability of one of the main anxiety and depression scale which is composed of 14 items, the Hospital Anxiety and Depression Scale (HADS). We have used explanatory factor analysis (EFA) and factor extraction by principal component analysis (PCA) with orthogonal varimax (Kaiser Normalization) rotation on a cohort of 9706 French depressed patients. The relevance of the 14 items included in the HADS was also scrutinized by measuring the internal consistency and reliability of the global HADS removing each item one by one. Our conclusion is that the HADS could potentially gain in consistency in the detection of anxiety, notably through the revision of two of the anxiety items.

摘要

由于两种疾病的混合影响,同时患有焦虑和抑郁的患者的诊断较为复杂。这种复杂性增加了为这些患者找到合适治疗方法的难度。因此,已经开发出几种被称为抑郁焦虑量表的工具,现在国际上的医生都在使用这些工具来确定焦虑和抑郁的诊断,并据此对患者进行治疗。本研究旨在测试由 14 个项目组成的主要焦虑和抑郁量表之一的一致性和可靠性,即医院焦虑和抑郁量表(HADS)。我们使用解释性因子分析(EFA)和主成分分析(PCA)进行因子提取,采用正交方差极大旋转(Kaiser 标准化)对 9706 名法国抑郁患者进行了分析。我们还通过逐个删除每个项目来衡量 HADS 的整体内部一致性和可靠性,来仔细检查 HADS 中包含的 14 个项目的相关性。我们的结论是,HADS 在检测焦虑方面的一致性可能会提高,特别是通过修改两个焦虑项目。

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