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失眠严重程度指数瑞典语版本:慢性疼痛患者的因子结构分析及心理测量学特性

The Swedish version of the Insomnia Severity Index: Factor structure analysis and psychometric properties in chronic pain patients.

作者信息

Dragioti Elena, Wiklund Tobias, Alföldi Peter, Gerdle Björn

机构信息

Rehabilitation Medicine, Department of Medicine and Health Sciences (IMH), Faculty of Health Sciences, University of Linköping SE-581 85 Linköping, Sweden.

Pain and Rehabilitation Centre, UHL, County Council, SE-581 85 Linköping, Sweden.

出版信息

Scand J Pain. 2015 Oct 1;9(1):22-27. doi: 10.1016/j.sjpain.2015.06.001.

Abstract

Objective Insomnia is the most commonly diagnosed comorbidity disorder among patients with chronic pain. This circumstance requests brief and valid instruments for screening insomnia in epidemiological studies. The main object of this study was to assess the psychometric properties and factor structure of the Swedish version of the Insomnia Severity Index (ISI). The ISI is a short instrument designed to measure clinical insomnia and one of the most common used scales both in clinical and research practice. However there is no study in Sweden that guarantees neither its factor structure nor its feasibility in chronic pain patients. We further examined the measurement invariance property of the ISI across the two sexes. Methods The ISI was administered to 836 (269 men and 567 women) chronic pain patients from the Swedish Quality Registry for Pain Rehabilitation. This study used demographic data, the Hospital Anxiety and Depression Scale (HADS), the Mental Summary Component (MSC) of the Health Survey (SF-36) and the item 7 from Multidimensional Pain Inventory (MPI). The sample was divided into two random halves: exploratory factor analysis (EFA) was performed in the first sample (N1 = 334, 40%) and confirmatory factor analysis (CFA) in the second half of the sample (N2 = 502, 60%). The measurement and structural invariance of the proposed structure (4-item version) between the two sexes as well as reliability and validity indexes were further assessed. Results Exploratory factor analysis using the principal axis factoring method generated one global factor structure for the ISI, explaining 63.1% of the total variance. The one factor solution was stable between the two sexes. Principal component analysis was also applied and indicated almost identical results. The structure was further assessed by CFA, resulting in an adequate fit only after omitting three items. The difference on structural and measurement invariance in the loadings by participants' sex was not significant (Δχ2 = 10.6; df = 3; p = .69 and Δχ2 = 2.86; df = 3; p = 41 respectively). The shorter version four-item Insomnia Severity Index (ISI-4) was analysed further. The Chronbach's alpha for the global ISI-4 score was 0.88. The construct validity of the ISI-4 was also supported by the, Hospital Anxiety and Depression Scale, the Mental Summary Component of quality of life and quality of sleep data. Pain intensity was significantly associated with the ISI-4 score (beta = .29, p < 001) whereas no significant correlation between four-item Insomnia Severity Index score and age was observed (p > 05). Conclusions and implications Although short, the four-item Insomnia Severity Index (ISI-4) version seemed to effectively assess insomnia in chronic pain patients. An important clinical implication is that the four-item Swedish Insomnia Severity Index can be used in chronic pain cohorts when screening for insomnia problems. Its measurement and structural invariance property across the two sexes shows that the ISI-4 is a valid measure of the insomnia across groups of chronic patients. Our results also suggest its utility both in pain clinical practice and research purposes.

摘要

目的

失眠是慢性疼痛患者中最常被诊断出的共病障碍。这种情况要求在流行病学研究中使用简短且有效的工具来筛查失眠。本研究的主要目的是评估瑞典版失眠严重程度指数(ISI)的心理测量特性和因子结构。ISI是一种旨在测量临床失眠的简短工具,是临床和研究实践中最常用的量表之一。然而,瑞典尚无研究能确保其在慢性疼痛患者中的因子结构及可行性。我们进一步检验了ISI在两性间的测量不变性。方法:对来自瑞典疼痛康复质量登记处的836名(269名男性和567名女性)慢性疼痛患者进行ISI评估。本研究使用了人口统计学数据、医院焦虑抑郁量表(HADS)、健康调查简表(SF - 36)的精神总结成分(MSC)以及多维疼痛问卷(MPI)的第7项。样本被随机分为两半:在第一个样本(N1 = 334,40%)中进行探索性因子分析(EFA),在样本的后半部分(N2 = 502,60%)中进行验证性因子分析(CFA)。进一步评估了所提出结构(4项版本)在两性间的测量和结构不变性以及信度和效度指标。结果:使用主轴因子法进行的探索性因子分析为ISI生成了一个全局因子结构,解释了总方差的63.1%。单因子解在两性间是稳定的。还应用了主成分分析,结果几乎相同。通过CFA对结构进行进一步评估,仅在删除三个项目后才得到充分拟合。参与者性别在载荷上的结构和测量不变性差异不显著(分别为Δχ2 = 10.6;df = 3;p = 0.69和Δχ2 = 2.86;df = 3;p = 0.41)。对较短的4项失眠严重程度指数(ISI - 4)进行了进一步分析。全局ISI - 4得分的克朗巴哈α系数为0.88。医院焦虑抑郁量表、生活质量精神总结成分和睡眠质量数据也支持了ISI - 4的结构效度。疼痛强度与ISI - 4得分显著相关(β = 0.29,p < 0.001),而未观察到4项失眠严重程度指数得分与年龄之间存在显著相关性(p > 0.05)。结论与启示:尽管简短,但4项失眠严重程度指数(ISI - 4)版本似乎能有效评估慢性疼痛患者的失眠情况。一个重要的临床启示是,4项瑞典失眠严重程度指数可用于慢性疼痛队列中筛查失眠问题。其在两性间的测量和结构不变性表明,ISI - 4是慢性患者群体中失眠的有效测量工具。我们的结果还表明其在疼痛临床实践和研究目的中均有用处。

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