Espie Colin A, Kyle Simon D, Hames Peter, Gardani Maria, Fleming Leanne, Cape John
Nuffield Department of Clinical Neurosciences/Sleep & Circadian Neuroscience Institute, University of Oxford, UK.
BMJ Open. 2014 Mar 18;4(3):e004183. doi: 10.1136/bmjopen-2013-004183.
Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice.
The SCI was evaluated across five study samples. Content validity, internal consistency and concurrent validity were investigated.
30 941 individuals (71% female) completed the SCI along with other descriptive demographic and clinical information.
Data acquired on dedicated websites.
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).
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.
描述一种简短量表(睡眠状况指标(SCI))的开发及心理测量学验证,以用于日常临床实践中评估失眠症。
在五个研究样本中对SCI进行评估。调查了内容效度、内部一致性和同时效度。
30941名个体(71%为女性)完成了SCI以及其他描述性人口统计学和临床信息。
在专门网站上获取数据。
包含八个条目的SCI(关于入睡、保持睡眠、睡眠质量、白天个人功能、白天表现、睡眠问题持续时间、每周有睡眠问题的夜晚数以及受睡眠不佳困扰的程度)具有较强的内部一致性(α≥0.86),并与匹兹堡睡眠质量指数和失眠严重程度指数显示出收敛效度。通过线性回归模型得出的包含两个条目的简版(SCI-02:每周有睡眠问题的夜晚数、受睡眠不佳困扰的程度)与SCI总分高度相关(r = 0.90)。
SCI有潜力作为一种临床筛查工具,根据《精神疾病诊断与统计手册》第五版(DSM-5)标准评估失眠症状。