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The Sleep Condition Indicator: a clinical screening tool to evaluate insomnia disorder

机译:睡眠状况指标:一种评估失眠症的临床筛查工具

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Objective Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice. Design The SCI was evaluated across five study samples. Content validity, internal consistency and concurrent validity were investigated. Participants 30?941 individuals (71% female) completed the SCI along with other descriptive demographic and clinical information. Setting Data acquired on dedicated websites. Results The eight-item SCI (concerns about getting to sleep, remaining asleep, sleep quality, daytime personal functioning, daytime performance, duration of sleep problem, nights per week having a sleep problem and extent troubled by poor sleep) had robust internal consistency (α≥0.86) and showed convergent validity with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. A two-item short-form (SCI-02: nights per week having a sleep problem, extent troubled by poor sleep), derived using linear regression modelling, correlated strongly with the SCI total score (r=0.90). Conclusions The SCI has potential as a clinical screening tool for appraising insomnia symptoms against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria.
机译:目的描述简短量表(睡眠状况指标(SCI))的发展和心理计量学验证,以评估日常临床实践中的失眠症。设计对五个研究样本进行了SCI评估。研究了内容效度,内部一致性和并发效度。参与者30?941个人(女性占71%)完成了SCI以及其他描述性人口统计学和临床​​信息。设置在专用网站上获取的数据。结果八项SCI(关于入睡,保持睡眠,睡眠质量,白天的个人功能,白天的表现,睡眠时间的问题,每周的夜晚有睡眠问题以及因睡眠不足而受到困扰的程度的担忧)具有良好的内部一致性( α≥0.86),并且与匹兹堡睡眠质量指数和失眠严重度指数显示出收敛的效度。使用线性回归模型得出的两个项目的简短形式(SCI-02:每周晚上有睡眠问题,程度受睡眠不足困扰),与SCI总分密切相关(r = 0.90)。结论SCI有潜力作为根据《精神障碍诊断和统计手册》第五版(DSM-5)标准评估失眠症状的临床筛查工具。

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