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失眠症状问卷的心理测量学评估:一种用于识别慢性失眠的自我报告测量方法。

Psychometric evaluation of the Insomnia Symptom Questionnaire: a self-report measure to identify chronic insomnia.

作者信息

Okun Michele L, Kravitz Howard M, Sowers Mary Fran, Moul Douglas E, Buysse Daniel J, Hall Martica

机构信息

University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA 15213, USA.

出版信息

J Clin Sleep Med. 2009 Feb 15;5(1):41-51.

Abstract

STUDY OBJECTIVES

The objective was to psychometrically evaluate the Insomnia Symptom Questionnaire (ISQ), a self-report instrument designed to establish a clinically relevant case definition of insomnia consistent with widely used insomnia classification criteria, using methods from classical test theory and item response theory (IRT).

METHODS

The ISQ was evaluated using IRT algorithms in a cohort of 362 pre-, peri- and post-menopausal women recruited for the SWAN (Study of Women's Health Across the Nation) Sleep Study. This yielded a dichotomous outcome consistent with the presence/absence of insomnia. The internal consistency and criterion validity of the dichotomized ISQ were compared to traditional measures of sleep from sleep diaries, polysomnography, and the Pittsburgh Sleep Quality Index using kappa statistics, and indices of sensitivity, specificity, positive and negative predictive value (PPV), and likelihood ratio tests (LRs).

RESULTS

The ISQ identified 9.8% of the sample as meeting insomnia, consistent with established diagnostic criteria. Reliability was established with Cronbach alpha (alpha = 0.89). The ISQ had high specificity (> 90%), but sensitivity, PPV, NPV, and LRs varied according to which sleep measure was used. Concurrent validity was not confirmed with any of the traditional sleep summary measures (kappas < 0.30).

CONCLUSIONS

The ISQ captures the multidimensionality of insomnia better than traditional sleep measures as it ascertains symptoms of insomnia that are based on DSM-IV and RDC criteria. The high specificities suggest that the ISQ has a high probability of correctly identifying those without insomnia and would be a cost-effective tool in large observational studies in which the prevalence of insomnia is likely to be about 10%. Further evaluation of the ISQ, including validation against clinical interviews, is warranted.

摘要

研究目的

本研究旨在使用经典测试理论和项目反应理论(IRT)的方法,对失眠症状问卷(ISQ)进行心理测量学评估。ISQ是一种自我报告工具,旨在建立与广泛使用的失眠分类标准相一致的具有临床相关性的失眠病例定义。

方法

在为全国女性健康研究(SWAN)睡眠研究招募的362名绝经前、围绝经期和绝经后女性队列中,使用IRT算法对ISQ进行评估。这产生了一个与失眠存在与否一致的二分结果。使用kappa统计以及敏感性、特异性、阳性和阴性预测值(PPV)指数和似然比检验(LRs),将二分法ISQ的内部一致性和标准效度与睡眠日记、多导睡眠图和匹兹堡睡眠质量指数等传统睡眠测量方法进行比较。

结果

ISQ将9.8%的样本确定为符合失眠标准,与既定诊断标准一致。使用Cronbach α系数(α = 0.89)确定了信度。ISQ具有较高的特异性(> 90%),但敏感性、PPV、NPV和LRs根据所使用的睡眠测量方法而有所不同。与任何传统睡眠总结测量方法均未确认同时效度(kappa < 0.30)。

结论

ISQ比传统睡眠测量方法更能捕捉失眠的多维度性,因为它确定了基于《精神疾病诊断与统计手册》第四版(DSM-IV)和研究诊断标准(RDC)的失眠症状。高特异性表明,ISQ很有可能正确识别没有失眠的人,并且在失眠患病率可能约为10%的大型观察性研究中,它将是一种具有成本效益的工具。有必要对ISQ进行进一步评估,包括与临床访谈进行验证。

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