Internal consistency of the pediatric daytime sleepiness scale: a meta-analysis across diverse populations

儿童日间嗜睡量表的内部一致性:一项跨不同人群的荟萃分析

阅读:1

Abstract

The Pediatric Daytime Sleepiness Scale (PDSS) is a common tool for assessing daytime sleepiness in children and adolescents. Despite its widespread use, its internal consistency reliability across populations and cultures is still being assessed. This meta-analysis synthesizes data from multiple studies to assess the PDSS's internal consistency. A comprehensive review of 18 databases was conducted to gather studies examining the reliability of PDSS using Cronbach's alpha. A random-effects model was employed to calculate the overall Cronbach's alpha, while the I(2) statistic and Tau(2) estimate assessed the consistency between studies. Subgroup analyses, meta-regression, and sensitivity analyses were performed to explore and verify the reasons for any observed differences. Additionally, funnel plot inspection, Egger's regression, and trim-and-fill method were used to evaluate publication bias. The meta-analysis included nine studies with a total of 8064 participants (k = 9). The estimated pooled Cronbach's alpha was 0.77 (95% CI 0.75 to 0.80), indicating high internal consistency. Significant heterogeneity was detected (I(2) = 87.88%, Tau(2) = 0.001, H(2) = 8.25). The prediction interval (0.69 to 0.86) suggested that most individual studies reported acceptable to excellent internal consistency. Subgroup and sensitivity analyses did not identify any unduly influential studies or significant moderators (age, sex). No evidence of publication bias was found using multiple assessment methods. The current meta-analysis confirms the high internal consistency reliability of the PDSS across varied study groups and cultures in non-clinical populations. While the findings support the international use of PDSS to assess daytime drowsiness in children and adolescents, validation in clinical populations remains necessary to establish its utility in diagnostic and treatment contexts. Registration Open Science Framework (OSF) https://doi.org/10.17605/OSF.IO/F7M3Z. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41105-025-00603-x.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。