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使用医院焦虑抑郁量表(HADS)的网络管理方式对慢性疲劳综合征患者进行心理困扰筛查。

Screening for psychological distress using internet administration of the Hospital Anxiety and Depression Scale (HADS) in individuals with chronic fatigue syndrome.

作者信息

McCue Patricia, Buchanan Tom, Martin Colin R

机构信息

Department of Psychology, Northumbria University, UK.

出版信息

Br J Clin Psychol. 2006 Nov;45(Pt 4):483-98. doi: 10.1348/014466505X82379.

DOI:10.1348/014466505X82379
PMID:17076959
Abstract

OBJECTIVES

To investigate the factor structure and internal consistency of the Hospital Anxiety and Depression Scale (HADS) in individuals with Chronic Fatigue Syndrome (CFS) using an Internet administered version of the instrument.

DESIGN

Between subjects.

METHOD

Confirmatory factor analysis (CFA) and internal consistency analysis of the HADS was used to determine the psychometric characteristics of the instrument in individuals with CFS and a control group with data captured via an Internet data collection protocol.

RESULTS

CFA revealed that a 3-factor solution offered the most parsimonious account of the data. Internal consistency estimations of the anxiety and depression subscales were found to be acceptable for both groups. The CFS group was found to have significantly higher HADS-assessed anxiety and depression scores compared with controls, however, there was also evidence found that Internet administration of the instrument may inflate HADS subscale scores as an artifact of testing medium.

CONCLUSIONS

The HADS is suitable for use for screening individuals with CFS in terms of the factor structure of the instrument, however, clinicians should be aware that this instrument assesses 3 domains of affective disturbance rather than 2 as is interpreted within the current HADS anxiety and depression subscale scoring system. Researchers need also be aware that Internet administration of negative affective state measures such as the HADS is likely to inflate scores and need to ensure that comparisons between clinical groups are made with control group data gathered using the same collection methodology.

摘要

目的

使用该量表的网络管理版本,调查慢性疲劳综合征(CFS)患者中医院焦虑抑郁量表(HADS)的因子结构和内部一致性。

设计

受试者间设计。

方法

采用HADS的验证性因子分析(CFA)和内部一致性分析,以确定通过互联网数据收集协议收集数据的CFS患者和对照组中该量表的心理测量特征。

结果

CFA显示,三因素模型对数据的解释最为简洁。发现两组的焦虑和抑郁分量表的内部一致性估计均可接受。然而,发现CFS组的HADS评估的焦虑和抑郁得分显著高于对照组,同时也有证据表明,该量表的网络管理可能会使HADS分量表得分因测试媒介的影响而虚高。

结论

就量表的因子结构而言,HADS适用于筛查CFS患者,然而,临床医生应意识到,该量表评估的是情感障碍的三个领域,而非当前HADS焦虑和抑郁分量表评分系统所解释的两个领域。研究人员还需意识到,像HADS这样的负面情感状态测量工具通过网络管理可能会使得分虚高,并且需要确保临床组之间的比较是与使用相同收集方法收集的对照组数据进行的。

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