Palagini Laura, Ragno Gloria, Caccavale Lisa, Gronchi Alessia, Terzaghi Michele, Mauri Mauro, Kyle Simon, Espie Colin A, Manni Raffaele
Sleep Disorder Clinic, Department of Clinical Experimental Medicine, Psychiatric Unit, University of Pisa, Pisa Italy.
Unit of Sleep Medicine, National Neurological Institute C. Mondino Pavia, Italy.
Int J Psychophysiol. 2015 Dec;98(3 Pt 1):435-40. doi: 10.1016/j.ijpsycho.2015.08.008. Epub 2015 Sep 4.
The present study investigated the validity, reliability and, as novel aspects, the temporal stability and discriminant validity of the Italian version of the Sleep Condition Indicator (SCI), a new brief tool to appraise Insomnia Disorder (ID) according to the new criteria of the DSM-5.
Subjects with ID (DSM-5), Obstructive Sleep Apnea Syndrome (OSAS) (ICSD3) and a group of healthy subjects (H) were recruited. At the first evaluation (T1), SCI, the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI) were administered. ID patients also completed the SCI 2months later (T2). Statistical analyses included Cronbach's alpha co-efficient calculation, Intraclass Correlation, Receiver Operating Characteristic (ROC) curves and Pearson correlations.
Eighty-eight ID (n=50 F, mean age 49.9±15.1 years), 43 OSAS (n=22 F, mean age 50.2±9.1 years) and 40 H (n=22 F, 49.3±13 years) were recruited at T1. SCI, PSQI and ISI scores were significantly higher in the ID group vs H and OSAS (both p<.001). ROC analysis revealed cut off of >18 to correctly identify 100% of H, cut off of >17 the 100% of OSAS and <17 the 100% of ID. Cronbach's alpha were 0.71 at T0, 0.78 at T2 for ID, 0.76 and 0.81 respectively for H and OSAS. SCI showed a negative correlation with ISI (p<.01) and PSQI (p<.05).
The Italian version of SCI shows good internal consistency, temporal stability and concurrent validity in insomnia, confirming data on the original version. Importantly, the present study shows that the SCI effectively discriminates insomnia from both normal sleep and OSAS.
本研究调查了意大利版睡眠状况指标(SCI)的有效性、可靠性,以及作为新的方面的时间稳定性和区分效度。SCI是一种根据《精神疾病诊断与统计手册》第5版(DSM-5)新标准评估失眠症(ID)的新型简短工具。
招募了患有ID(DSM-5)、阻塞性睡眠呼吸暂停综合征(OSAS)(国际睡眠障碍分类第3版,ICSD3)的受试者以及一组健康受试者(H)。在首次评估(T1)时,使用了SCI、失眠严重程度指数(ISI)和匹兹堡睡眠质量指数(PSQI)。ID患者在2个月后(T2)也完成了SCI评估。统计分析包括计算克朗巴哈系数、组内相关系数、受试者工作特征(ROC)曲线和皮尔逊相关性。
在T1时,招募了88名ID患者(n = 50名女性,平均年龄49.9±15.1岁)、43名OSAS患者(n = 22名女性,平均年龄50.2±9.1岁)和40名健康受试者(n = 22名女性,49.3±13岁)。ID组的SCI、PSQI和ISI得分显著高于健康受试者组和OSAS组(均p <.001)。ROC分析显示,截断值>18可正确识别100%的健康受试者,截断值>17可识别100%的OSAS患者,截断值<17可识别100%的ID患者。ID组在T0时的克朗巴哈系数为0.71,在T2时为0.78;健康受试者组和OSAS组分别为0.76和0.81。SCI与ISI(p <.01)和PSQI(p <.05)呈负相关。
意大利版SCI在失眠方面显示出良好的内部一致性、时间稳定性和同时效度,证实了原版的数据。重要的是,本研究表明SCI能够有效地区分失眠与正常睡眠和OSAS。