Measuring Subjective Sleep Quality: A Review.
Measuring Subjective Sleep Quality: A Review.
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DOI：
10.3390/ijerph18031082
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发表时间：
2021-01-26
影响因子：
--
通讯作者：
Natale V
中科院分区：
文献类型：
--
作者：
Fabbri M;Beracci A;Martoni M;Meneo D;Tonetti L;Natale V
睡眠质量是一个重要的临床结构，因为越来越多的人抱怨睡眠质量差及其对白天功能的影响。此外，睡眠质量差可能是许多睡眠和医学障碍的重要症状。然而，睡眠质量的客观测量，如多导睡眠图，在大多数临床医生的日常工作中并不容易获得，而且昂贵，耗时，并且对于流行病学和研究来说不切实际。然而，已经编制了一些自我报告问卷。本综述旨在探讨这些睡眠质量问卷的心理测量特性、结构效度和析因结构，同时对这些问卷的测量特性进行介绍、比较和讨论。利用电子数据库PubMed和Scopus进行系统的文献检索，检索时间为2008 - 2020年。总共分析了5734篇文章中的49篇。报告了匹兹堡睡眠质量指数（PSQI）、雅典失眠量表（AIS）、失眠严重程度指数（ISI）、迷你睡眠问卷（MSQ）、Jenkins睡眠量表（JSS）、Leeds睡眠评价问卷（LSEQ）、Sleep -50问卷和Epworth嗜睡量表（ESS）的心理测量特性和因子结构。作为最常用的主观睡眠质量测量，PSQI具有良好的内部信度和效度；然而，在不同的样本中发现了不同的析因结构，这使人们对总分在检测睡眠质量差和睡眠质量好的有效性产生了怀疑。睡眠障碍量表（AIS、ISI、MSQ、JSS、LSEQ和sleep -50）报告了良好的心理测量特性；然而，AIS和ISI报告了多种析因模型，而LSEQ和SLEEP-50由于问卷的长度和评分，似乎对流行病学和研究环境不太有用。MSQ和JSS似乎价格低廉，易于管理、完成和评分，但需要进一步的验证研究。结果表明，该量表具有良好的内部一致性和结构效度，但主要的挑战在于其因子结构、已知组差异和可靠截断值的估计。总体而言，从不同角度评估睡眠质量的自述问卷具有良好的心理测量特性，具有较高的内部一致性和重测信度，在睡眠、心理和社会人口学变量上具有收敛/发散效度。然而，建议对这些工具背后的因素模型进行明确定义，并指出可靠的临界值，以便临床医生区分睡眠质量差和睡眠质量好的人。
Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.
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0.4
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