Wang · Journal of neurology 2024 · systematic review and meta-analysis · n=35 studies

Sleep characteristics and risk of Alzheimer's disease: a systematic review and meta-analysis of longitudinal studies.

Cited 37 times in the scientific literature.

Level 3 - non-randomized controlled study

Systematic review and meta-analysis of longitudinal observational studies

PubMed 38656621 · doi:10.1007/s00415-024-12380-7 · record verified 2026-08-31

What was done

A systematic review and meta-analysis evaluated longitudinal cohort studies indexed in MEDLINE, EMBASE, and Web of Science from inception through July 2023. The authors extracted adjusted relative risks (RRs) evaluating associations between various sleep characteristics and the incidence of Alzheimer's disease (AD), including a dose-response analysis for sleep duration.

What was found

Across 35 included studies, elevated AD risk was significantly associated with: - Insomnia: RR 1.43 (95% CI, 1.17 to 1.74) - Sleep-disordered breathing: RR 1.22 (95% CI, 1.07 to 1.39) - Self-reported sleep problems: RR 1.34 (95% CI, 1.26 to 1.42) - Sleep duration: both very short (<4 hours) and long (>8 hours) durations were identified as potential risk factors. Daytime napping or excessive daytime sleepiness showed a non-significant trend toward increased risk (RR 1.18; 95% CI, 1.00 to 1.40). Sleep problems measured objectively via device-based assessments were not significantly associated with AD incidence (RR 1.14; 95% CI, 0.99 to 1.31).

Why it matters

This meta-analysis aggregates longitudinal data demonstrating that several clinical sleep disturbances (especially insomnia and sleep apnea) and extreme sleep durations correlate with long-term Alzheimer's risk. It highlights the distinction between self-reported and device-measured sleep disruptions in epidemiological research.

Limits

Total participant count is not specified in the abstract. The underlying data are observational, preventing causal inferences and leaving open the possibility of reverse causality (prodromal AD disrupting sleep). Significant associations were limited to self-reported sleep measures rather than objective sensor or polysomnography data.

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