Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, No.87 Dingjiaqiao Road, Nanjing, Jiangsu 210009, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu 210009, China.
The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
J Stroke Cerebrovasc Dis. 2022 Feb;31(2):106222. doi: 10.1016/j.jstrokecerebrovasdis.2021.106222. Epub 2021 Nov 25.
A self-rating post stroke depression scale (PSDS) showed a good reliability and validity to assess severity of depressive symptoms among stroke patients. This study aimed to retest the psychometric properties of PSDS in different types of post-stroke depression (PSD).
A total of 170 stroke patients were recruited in the study. 82 and 25 patients were respectively diagnosed as PSD symptoms disorder (PSDSD) and PSD disorder (PSDD) patients according to their respective diagnostic criteria. The PSDS and the 9-item Patient Health Questionnaire (PHQ-9) were used to assess the severity of depression. Cronbach α, Spearman rank coefficient and independent sample t-test were conducted to examine reliability, internal consistency and discriminate validity. Then the receiver operating characteristic curve and Youden index were used to performance evaluation and cut-off value respectively in different subtypes of PSD patients.
The Cronbach α of PSDS was 0.857, indicting a good reliability. The Spearman correlation coefficient between PSDS and PHQ-9 was 0.942 (P<0.001). The discriminate validity displayed significant difference between PSDSD as well as PSDD and no depression patients (all P<0.001). 5/24 and 10/24 were the cut-off value for PSDSD and PSDD patients.
PSDS is a useful screen tool with an acceptable psychometric properties for estimation of different subtypes of PSD patients.
自评脑卒中后抑郁量表（PSDS）在评估脑卒中患者抑郁症状严重程度方面具有良好的信度和效度。本研究旨在重新测试 PSDS 在不同类型脑卒中后抑郁（PSD）中的心理测量特性。
本研究共招募了 170 名脑卒中患者。根据各自的诊断标准，82 名和 25 名患者分别被诊断为 PSD 症状障碍（PSDSD）和 PSD 障碍（PSDD）患者。PSDS 和 9 项患者健康问卷（PHQ-9）用于评估抑郁严重程度。采用克朗巴赫α系数、斯皮尔曼等级相关系数和独立样本 t 检验评估信度、内部一致性和判别效度。然后，分别在不同类型 PSD 患者中，采用受试者工作特征曲线和约登指数进行性能评估和截断值的确定。
PSDS 的克朗巴赫α系数为 0.857，表明具有良好的可靠性。PSDS 与 PHQ-9 之间的斯皮尔曼相关系数为 0.942（P<0.001）。PSDSD 和 PSDD 患者与无抑郁患者之间的判别效度存在显著差异（均 P<0.001）。PSDSD 和 PSDD 患者的截断值分别为 5/24 和 10/24。
PSDS 是一种有用的筛查工具，具有可接受的心理测量特性，可用于评估不同类型 PSD 患者。
