Meta-Analysis of Sleep Spindle and Polysomnography Differences by Age, Sex, and Cognition

A 2026 meta-analysis by Diana Campos-Beltrán synthesizes data from 42 studies with 1,878 healthy human subjects. It examines differences in EEG sleep spindles and sleep macrostructure related to aging, sex, and cognitive ability. The analysis was conducted using Meta-Essentials v1.4, with results presented in tables and plots.

Use Cases

• Modeling the relationship between sleep spindle amplitude/density and age based on meta-analytic results.
• Investigating sex differences in sleep efficiency and total sleep time using synthesized polysomnography data.
• Analyzing correlations between sleep properties (e.g., SWS duration) and cognitive ability scores across age groups.
• Benchmarking sleep study results against aggregated normative data for healthy aging populations.

Strengths

• Includes data from 42 independent studies, providing a synthesized view.
• Aggregates results from 1,878 healthy human subjects.
• Study quality was assessed using the Mixed Methods Appraisal Tool (MMAT).
• Analysis includes assessments of heterogeneity, publication bias, and meta-regression.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a 1.4 MB DOCX file, suggesting it contains summary tables and plots rather than raw participant-level data.

Provenance

Source

figshare, author Diana Campos-Beltrán.

Collection Method

Meta-analysis of studies from seven databases, using Hedges' g and averaged correlation.

Freshness

Last updated 2026-04-14 04:19:42