Univ. Paul Valéry Montpellier 3, University Montpellier, Montpellier, France.
Service de Neurologie, Hôpital Gui de Chauliac, Montpellier, France.
Eur Neurol. 2021;84(5):333-339. doi: 10.1159/000508185. Epub 2021 Jun 28.
Insomnia is a highly common sleep disorder in patients with Parkinson's disease (PD). Yet, no screening questionnaires following the Diagnostic and Statistical Manual-5 (DSM-5) criteria have been validated in PD patients.
We assessed the validity and reliability of the French version of the sleep condition indicator (SCI), in patients with PD.
In a sample of 65 patients (46% women, mean age 63.8 ± 7.9 years) with PD, but without dementia, insomnia was assessed with a clinical interview and the SCI. Statistical analyses were performed to determine the reliability, construct validity, and divergent validity of the SCI. In addition, an explanatory factor analysis was performed to assess the underlying structure of the SCI.
Of the 65 patients (mean duration PD 9.7 ± 6.9 years), 51% met the criteria for insomnia disorder when measured with a clinical interview. The mean SCI score was 18.05 ± 8.3. The internal consistency (α = 0.89) of the SCI was high. Using the previously defined cutoff value of ≤16, the area under the receiver operating characteristic curve was 0.86 with a sensitivity of 86% and a specificity of 87%. Exploratory factor analysis showed a 2-factor structure with a focus on sleep and daytime effects. Additionally, good construct and divergent validity were demonstrated.
The SCI can be used as a valid and reliable screener for DSM-5 insomnia disorder in PD patients. Due to its short length, it is useful in both clinical practice and scientific research.
失眠是帕金森病(PD)患者中一种非常常见的睡眠障碍。然而,还没有经过《精神障碍诊断与统计手册-5 (DSM-5)》标准验证的针对 PD 患者的筛查问卷。
我们评估了睡眠状况指标(SCI)的法语文本在 PD 患者中的有效性和可靠性。
在 65 名 PD 患者(46%为女性,平均年龄 63.8 ± 7.9 岁)中,我们使用临床访谈和 SCI 评估了失眠情况。我们进行了统计学分析以确定 SCI 的可靠性、构念效度和区分效度。此外,我们还进行了解释性因素分析以评估 SCI 的潜在结构。
在 65 名患者中(PD 平均病程 9.7 ± 6.9 年),51%的患者在临床访谈中符合失眠障碍标准。SCI 的平均得分为 18.05 ± 8.3。SCI 的内部一致性(α=0.89)较高。使用先前定义的≤16 的截断值,ROC 曲线下的面积为 0.86,灵敏度为 86%,特异性为 87%。探索性因素分析显示出以睡眠和日间影响为重点的 2 因素结构。此外,还证明了良好的构念和区分效度。
SCI 可作为 PD 患者 DSM-5 失眠障碍的有效且可靠的筛查工具。由于其长度较短,它在临床实践和科学研究中都非常有用。