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日本 CES-D、SDS 和 PHQ-9 抑郁量表在大学生中的心理测量特性。

Psychometric properties of the Japanese CES-D, SDS, and PHQ-9 depression scales in university students.

机构信息

Course of Clinical Psychology, Faculty of Human Life and Environment, Nara Women's University.

National Institution for Academic Degrees and Quality Enhancement of Higher Education.

出版信息

Psychol Assess. 2017 Mar;29(3):354-359. doi: 10.1037/pas0000351. Epub 2016 Jun 20.

Abstract

We used an item response theory (IRT) model to simultaneously compare the psychometric properties of 3 commonly used self-report depression scales translated into Japanese-the Zung Self-Rating Depression Scale (SDS), the Center for Epidemiologic Studies Depression Scale (CES-D), and the Patient Health Questionnaire Depression Scale (PHQ-9)-in a Japanese university student sample. Although the 3 scales were likely to measure the same underlying construct-that is, depression-the choices of the negatively worded items in the SDS and CES-D did not function well. The CES-D provided more information than the other scales at the range of depression severity approximately from the mean through 2 standard deviations above the mean, while the PHQ-9 provided more information for the other degrees of depression. The PHQ-9 performed better as a whole, as it provided more information than the other scales on the broadest range of depression severity, and it did not contain items with inefficient choices. The CES-D may also be a good choice when sampling students with elevated levels of depressive symptoms. Finally, we linked the 3 instruments on a common scale using parameters derived from IRT analysis, and we provided a crosswalk table to enable the conversion of each scale score. (PsycINFO Database Record

摘要

我们使用项目反应理论(IRT)模型,同时比较了 3 种常用的日本翻译自报告抑郁量表的心理测量特性 - zung 自评抑郁量表(SDS)、流行病学研究中心抑郁量表(CES-D)和患者健康问卷抑郁量表(PHQ-9) - 在日本大学生样本中。尽管这 3 种量表可能都测量了相同的潜在结构,即抑郁,但 SDS 和 CES-D 中否定性项目的选择效果不佳。CES-D 在抑郁严重程度的范围内提供了比其他量表更多的信息,大约从平均值到平均值以上 2 个标准差,而 PHQ-9 则为其他程度的抑郁提供了更多的信息。PHQ-9 作为一个整体表现更好,因为它在最广泛的抑郁严重程度范围内提供了比其他量表更多的信息,并且它不包含选择效率低下的项目。当对抑郁症状水平升高的学生进行抽样时,CES-D 也可能是一个不错的选择。最后,我们使用 IRT 分析得出的参数将这 3 种工具联系在一个共同的量表上,并提供了一个交叉表,以实现每个量表分数的转换。

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