Sleep Characteristics and Risk of Stroke and Dementia: An Observational and Mendelian Randomization Study.

Chutian Guo, Eric L Harshfield, Hugh S Markus
Author Information
  1. Chutian Guo: From the Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom.
  2. Eric L Harshfield: From the Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom. ORCID
  3. Hugh S Markus: From the Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom. ORCID

Abstract

BACKGROUND AND OBJECTIVES: Sleep disturbances are implicated as risk factors of both stroke and dementia. However, whether these associations are causal and whether treatment of sleep disorders could reduce stroke and dementia risk remain uncertain. We aimed to evaluate associations and ascertain causal relationships between sleep characteristics and stroke/dementia risk and MRI markers of small vessel disease (SVD).
METHODS: We used data sets from a multicenter population-based study and summary statistics from genome-wide association studies (GWASs) of sleep characteristics and outcomes. We analyzed 502,383 UK Biobank participants with self-reported sleep measurements, including sleep duration, insomnia, chronotype, napping, daytime dozing, and snoring. In observational analyses, the primary outcomes were incident stroke, dementia, and their subtypes, alongside SVD markers. Hazard ratios (HRs) and odds ratios (ORs) were adjusted for age, sex, and ethnicity, and additional vascular risk factors. In Mendelian randomization (MR) analyses, ORs or risk ratios are reported for the association of each genetic score with clinical or MRI end points.
RESULTS: Among 502,383 participants (mean [SD] age, 56.5 [8.1] years; 54.4% female), there were 7,668 cases of all-cause dementia and 10,334 strokes. In longitudinal analyses, after controlling for cardiovascular risk factors, participants with insomnia, daytime napping, and dozing were associated with increased risk of any stroke (HR 1.05, 95% CI 1.01-1.11, = 8.53 × 10; HR 1.09, 95% CI 1.05-1.14, = 3.20 × 10; HR 1.19, 95% CI 1.08-1.32, = 4.89 × 10, respectively). Almost all sleep measures were associated with dementia risk (all < 0.001, except insomnia). Cross-sectional analyses identified associations between napping, snoring, and MRI markers of SVD (all < 0.001). MR analyses supported a causal link between genetically predicted insomnia and increased stroke risk (OR 1.31, 95% CI 1.13-1.51, = 0.00072), but not with dementia or SVD markers.
DISCUSSION: We found that multiple sleep measures predicted future risk of stroke and dementia, but these associations were attenuated after controlling for cardiovascular risk factors and were absent in MR analyses for Alzheimer disease. This suggests possible confounding or reverse causation, implying caution before proposing sleep disorder modifications for dementia treatment.

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MeSH Term

Female
Humans
Middle Aged
Male
Sleep Initiation and Maintenance Disorders
Cross-Sectional Studies
Genome-Wide Association Study
Mendelian Randomization Analysis
Snoring
Stroke
Sleep
Alzheimer Disease

Word Cloud

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