Correia Inês Luana, Husain Waqar, Gonçalves Maria Teresa, Pires Luís, Trabelsi Khaled, Achraf Ammar, Pandi-Perumal Seithikurippu R, Nicassio Perry M, Jansson-Fröjmark Markus, Vitiello Michael V, Marques Daniel Ruivo, Jahrami Haitham
University of Aveiro, Department of Education and Psychology, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
Department of Humanities, COMSATS University Islamabad, Islamabad Campus, Park Road, Islamabad, Pakistan.
Sleep Med. 2025 Feb;126:290-299. doi: 10.1016/j.sleep.2024.12.030. Epub 2024 Dec 24.
The Pre-Sleep Arousal Scale (PSAS) is a self-report tool for assessing cognitive and somatic arousal before sleep. While the English version is well-validated, research on translations is limited. This meta-analysis examines PSAS translations' internal consistency and reliability.
We conducted a comprehensive literature search using multiple databases to identify studies that reported the reliability of the PSAS. We used a random-effects meta-analysis model to pool estimates of internal consistency and test-retest reliability and explored potential moderators using subgroup analyses and meta-regression. To ensure transparency, we registered the study protocol, utilized the PRISMA checklist, and made all study code and data available on the Open Science Framework.
Systematic review yielded a total 27 studies (reported in 25 publications) with 9354 participants employing eleven language versions of the PSAS. Meta-analysis showed good internal consistency for the total PSAS (0.88, 95%CI 0.86-0.90) as well as the cognitive (α = 0.89, 95%CI 0.88-0.90) and somatic (α = 0.80, 95%CI 0.77-0.83) subscales. The PSAS also displayed excellent test-retest reliability for the total scale (r = 0.87, 95%CI 0.84-0.90), cognitive subscale (α = 0.80, 95%CI 0.77-0.84) and somatic subscale (α = 0.70, 95%CI 0.67-0.74). Participant characteristics (age and sex) did not significantly affect results.
This meta-analysis shows that the PSAS is a reliable tool for detecting pre-sleep arousal based on its high internal consistency and test-retest reliability. The PSAS is useful across languages but quality translation appears to be crucial. Recommendations are offered for future adaptations and clinical use.
睡前觉醒量表(PSAS)是一种用于评估睡前认知和躯体觉醒的自我报告工具。虽然英文版已得到充分验证,但关于其翻译版本的研究有限。本荟萃分析旨在检验PSAS翻译版本的内部一致性和信度。
我们使用多个数据库进行了全面的文献检索,以识别报告PSAS信度的研究。我们使用随机效应荟萃分析模型汇总内部一致性和重测信度的估计值,并通过亚组分析和荟萃回归探索潜在的调节因素。为确保透明度,我们注册了研究方案,使用了PRISMA清单,并在开放科学框架上提供了所有研究代码和数据。
系统评价共纳入27项研究(发表于25篇文献),9354名参与者使用了PSAS的11种语言版本。荟萃分析显示,PSAS总量表(0.88,95%CI 0.86 - 0.90)以及认知子量表(α = 0.89,95%CI 0.88 - 0.90)和躯体子量表(α = 0.80,95%CI 0.77 - 0.83)均具有良好的内部一致性。PSAS总量表(r = 0.87,95%CI 0.84 - 0.90)、认知子量表(α = 0.80,95%CI 0.77 - 0.84)和躯体子量表(α = 0.70,95%CI 0.67 - 0.74)也显示出出色的重测信度。参与者特征(年龄和性别)对结果无显著影响。
本荟萃分析表明,基于其高内部一致性和重测信度,PSAS是一种检测睡前觉醒的可靠工具。PSAS在多种语言中都有用,但高质量的翻译似乎至关重要。为未来的改编和临床应用提供了建议。