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Trajectories of Objective Sleep Quality and Their Association With Neurological Functional Recovery After Stroke: A
Fan-Jiayi Yang1, Jia-Ning Wei1, Chen-Shuang Li1
1The School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China.
Neurorehabilitation and Neural Repair
|February 6, 2026
Summary
Stroke patients have varied sleep quality patterns over time. Poor sleep trajectories significantly increase the risk of poor neurological recovery, highlighting the need for personalized sleep management.
Area of Science:
- Neurology
- Sleep Medicine
- Rehabilitation Science
Background:
- Sleep disturbances are common in stroke patients.
- Objective sleep quality assessment is crucial for understanding recovery.
- Heterogeneity in sleep patterns may influence functional outcomes.
Purpose of the Study:
- To identify distinct latent trajectory classes of objective sleep quality in stroke patients.
- To investigate the impact of these sleep trajectories on neurological functional recovery.
Main Methods:
- Multicenter cluster sampling of 362 stroke patients.
- Objective sleep data collected using ActiGraph GT3X accelerometers across acute, recovery, and chronic phases.
- Parallel-process latent class growth modeling and binary logistic regression analysis.
Main Results:
- Four sleep quality trajectory classes were identified: Consistently good, Short sleep-increased efficiency-improved fragmentation, Long sleep-reduced efficiency-deteriorated fragmentation, and Consistently poor.
- The Long sleep-reduced efficiency-deteriorated fragmentation and Consistently poor sleep quality groups showed significantly higher risks of poor neurological recovery (ORs 5.728 and 6.769, respectively).
Conclusions:
- Stroke patients exhibit diverse sleep quality trajectories.
- Specific poor sleep patterns are associated with worse neurological functional recovery.
- Personalized sleep management strategies are recommended to improve patient outcomes.
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