Meta-Analysis of Sleep and Anxiety Associations in Older Adults

A systematic review and meta-analysis of 19 studies with 70,716 participants, authored by Junjie Zhang and published in May 2026. It synthesizes evidence on the association between sleep quality, sleep duration, and anxiety symptoms in adults aged 60 years or older. The analysis includes studies from multiple geographic regions and uses a random-effects model to calculate pooled odds ratios.

Use Cases

• Estimating the pooled association between poor sleep quality and anxiety based on odds ratios from 16 studies.
• Comparing the relative strength of associations for sleep quality versus sleep duration based on the reported odds ratio ratio.
• Investigating sources of heterogeneity in sleep-anxiety relationships based on subgroup analyses by region and measurement tool.
• Informing clinical assessment protocols for older adults with anxiety by evaluating the evidence for routine sleep quality screening.

Strengths

• Includes 19 studies with a total of 70,716 participants, providing a substantial evidence base.
• Reports specific pooled odds ratios: 4.00 for poor sleep quality and 2.14 for short sleep duration.
• Conducted sensitivity analyses, including leave-one-out results ranging from 3.68 to 4.26.
• Follows PRISMA 2020 guidelines and is registered with PROSPERO (CRD420261348264).

Limitations

• The dataset is a 236.6 KB PDF document; the underlying tabular data from the meta-analysis is not provided.
• Substantial heterogeneity (I² = 93.4%) was noted for the sleep quality analysis, indicating variability between studies.
• Column-level documentation for any potential supplementary data is absent; field semantics must be inferred from the paper.

Provenance

Source

figshare, authored by Junjie Zhang.

Collection Method

Systematic literature review and meta-analysis of studies from PubMed, Web of Science, Embase, Cochrane Library, and CNKI.

Time Range

Studies from database inception to January 2026 were searched.

Freshness

Last updated 2026-05-28 06:17:28.

Geography

Studies included were from multiple geographic regions, as indicated by subgroup analysis.