克朗巴赫阿尔法
脑卒中后抑郁
尤登J统计
萧条(经济学)
评定量表
冲程(发动机)
接收机工作特性
秩相关
结构效度
医学
物理疗法
临床心理学
心理学
心理测量学
内科学
统计
日常生活活动
发展心理学
机械工程
工程类
宏观经济学
经济
数学
作者
Yingying Yue,Rui Li,Jiu Chen,Yin Chen,Yanfeng Wu,Zhang Shining,Huajie Li,Jijun Zhu,Aiqin Wu,Yuan Yuan
标识
DOI:10.1016/j.jstrokecerebrovasdis.2021.106222
摘要
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.
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