Castronovo Vincenza, Galbiati Andrea, Marelli Sara, Brombin Chiara, Cugnata Federica, Giarolli Laura, Anelli Matteo Mario, Rinaldi Fabrizio, Ferini-Strambi Luigi
Department of Clinical Neurosciences, Neurology, OSR-Turro, Sleep Disorders Center, University San Raffaele, Milan, Italy.
University Centre of Statistics in the Biomedical Sciences (CUSSB), Vita-Salute San Raffaele University, Milan, Italy.
Neurol Sci. 2016 Sep;37(9):1517-24. doi: 10.1007/s10072-016-2620-z. Epub 2016 May 27.
To test the factorial structure of the Italian version of the Insomnia Severity Index (ISI) using a confirmatory approach and to assess its psychometric properties. ISI questionnaire was completed by 272 patients (average age 41.28, range 18-73) with insomnia diagnosis performed by a sleep medicine physician and retrospectively enrolled in the study. All patients underwent Cognitive Behavioral Treatment for Insomnia (CBT-I) and completed sleep diaries before starting the treatment. Data from sleep diaries were analyzed for assessing concurrent validity of the ISI. Confirmatory factor analysis (CFA) for ordinal Likert-type items was applied to compare four competing models proposed in the literature. 244 patients, out of the 272, completed the ISI at the end of CBT-I. A comparison of ISI score before and after treatment was performed. The CFA analysis confirmed the presence of three main factors conceptualized as severity and impact of the disease along with sleep satisfaction. Significant correlations of the first three items of the questionnaire, investigating three different subtypes of insomnia, and the subjective measures from the sleep diaries were found, thus supporting the concurrent validity of the test. Sleep efficiency (SE) had a significant inverse correlation with the severity and satisfaction factors and with ISI's total score. After CBT-I treatment, a significant reduction of ISI's scores was observed, thus confirming the effectiveness of the CBT-I treatment. The internal reliability coefficient was 0.75. The ISI questionnaire maintains good psychometric properties in the Italian version, thus confirming that this instrument is reliable for detecting insomnia severity and identifying patients' symptoms.
采用验证性方法检验意大利版失眠严重程度指数(ISI)的因子结构,并评估其心理测量学特性。272例患者(平均年龄41.28岁,范围18 - 73岁)完成了ISI问卷,这些患者由睡眠医学医生进行失眠诊断,并回顾性纳入研究。所有患者在开始治疗前均接受失眠认知行为治疗(CBT - I)并完成睡眠日记。对睡眠日记数据进行分析以评估ISI的同时效度。对有序李克特式项目应用验证性因子分析(CFA),以比较文献中提出的四个竞争模型。272例患者中有244例在CBT - I结束时完成了ISI。对治疗前后的ISI评分进行了比较。CFA分析证实存在三个主要因子,概念化为疾病的严重程度、影响以及睡眠满意度。发现问卷前三项与睡眠日记中的主观测量指标之间存在显著相关性,这三项分别调查了三种不同类型的失眠,从而支持了该测试的同时效度。睡眠效率(SE)与严重程度和满意度因子以及ISI总分呈显著负相关。CBT - I治疗后,ISI评分显著降低,从而证实了CBT - I治疗的有效性。内部信度系数为0.75。ISI问卷在意大利版中保持了良好的心理测量学特性,从而证实该工具在检测失眠严重程度和识别患者症状方面是可靠的。