Scholarlink

Purpose of Review <p>Accurate assessment of sleep is vital for both clinical and research purposes, necessitating reliable measurement tools. The present umbrella review synthesizes findings from existing reliability generalization meta-analyses to evaluate the internal consistency and test-retest reliability of widely used sleep assessment scales.</p> Recent Findings <p>Eight moderate-high quality meta-analyses (<i>K</i> = 197 primary studies, <i>N</i> = 336,676 participants) were analyzed, encompassing seven sleep assessment tools targeting insomnia, sleep quality, daytime sleepiness, and maladaptive sleep behaviors. Internal consistency (Cronbach’s <i>α</i>) ranged from 0.73 (Athlete Sleep Behavior Questionnaire) to 0.93 (Anxiety and Preoccupation about Sleep Questionnaire), with most scales demonstrating good to excellent reliability (<i>α</i> &gt; 0.80). Bayesian and classical meta-analyses corroborated these findings, yielding a pooled internal consistency estimate of <i>α</i> = 0.84 (95% CI: 0.80–0.88). Test-retest reliability coefficients (0.86–0.93) indicated strong temporal stability for several tools, such as the Jenkins Sleep Scale and the Athens Insomnia Scale, with a pooled estimate of 0.88 (95% CI: 0.87–0.89). Significant heterogeneity (<i>I</i>² = 84–99.11%) highlighted variability across populations and contexts. Bayesian and classical meta-analyses corroborated these findings, revealing differential reliability patterns among scale categories.</p> Summary <p>Clinicians and researchers should prioritize instruments with robust reliability metrics tailored to specific populations and assessment goals. Further meta-analyses on underrepresented scales and cultural adaptations are needed to further strengthen evidence-based sleep assessment practices.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Umbrella Review of Reliability Generalization Meta-Analyses on Sleep Scales

  • 期刊论文

  • 发表日期：

    2026年3月26日

查看全文
  • Haitham Jahrami,
  • Khaled Trabelsi,
  • Waqar Husain,
  • Ammar Achraf,
  • Daniel Ruivo Marques,
  • Lana S Alnimer,
  • Zahra Saif,
  • Michael V. Vitiello

摘要

Purpose of Review

Accurate assessment of sleep is vital for both clinical and research purposes, necessitating reliable measurement tools. The present umbrella review synthesizes findings from existing reliability generalization meta-analyses to evaluate the internal consistency and test-retest reliability of widely used sleep assessment scales.

Recent Findings

Eight moderate-high quality meta-analyses (K = 197 primary studies, N = 336,676 participants) were analyzed, encompassing seven sleep assessment tools targeting insomnia, sleep quality, daytime sleepiness, and maladaptive sleep behaviors. Internal consistency (Cronbach’s α) ranged from 0.73 (Athlete Sleep Behavior Questionnaire) to 0.93 (Anxiety and Preoccupation about Sleep Questionnaire), with most scales demonstrating good to excellent reliability (α > 0.80). Bayesian and classical meta-analyses corroborated these findings, yielding a pooled internal consistency estimate of α = 0.84 (95% CI: 0.80–0.88). Test-retest reliability coefficients (0.86–0.93) indicated strong temporal stability for several tools, such as the Jenkins Sleep Scale and the Athens Insomnia Scale, with a pooled estimate of 0.88 (95% CI: 0.87–0.89). Significant heterogeneity (I² = 84–99.11%) highlighted variability across populations and contexts. Bayesian and classical meta-analyses corroborated these findings, revealing differential reliability patterns among scale categories.

Summary

Clinicians and researchers should prioritize instruments with robust reliability metrics tailored to specific populations and assessment goals. Further meta-analyses on underrepresented scales and cultural adaptations are needed to further strengthen evidence-based sleep assessment practices.