活动记录
冲程(发动机)
康复
睡眠(系统调用)
医学
物理医学与康复
物理疗法
睡眠开始
失眠症
精神科
计算机科学
机械工程
操作系统
工程类
作者
Jacob Sindorf,Silvia Campagnini,Megan K. O’Brien,Aashna Sunderrajan,Kristen L. Knutson,Phyllis C. Zee,Lisa F. Wolfe,Vineet M. Arora,Arun Jayaraman
标识
DOI:10.1177/15459683251335332
摘要
Background Our understanding of sleep during early stroke care and its impact on rehabilitation outcomes remains limited. The objectives of this work were to (1) evaluate multidimensional sleep health and disruptions during acute inpatient rehabilitation for individuals with stroke, and (2) explore the relationship between sleep health/disruptions and functional recovery. Methods Data from 103 individuals with stroke were analyzed during acute inpatient rehabilitation. Sleep health/disruptions were assessed via patient reports, actigraphy, and biometric sensors. Functional outcomes were measured at admission and discharge. Generalized Linear Models (GLMs) were used to describe changes in sleep health over time, and multivariate regressions analyzed sleep disruptions and sleep-related predictors of functional recovery. Results Over inpatient stays, sleep improved with a 23% reduction in wake after sleep onset and 15% fewer multiple overnight disruptions. GLMs revealed that improved sleep quality was associated with reduced overnight activity and increased heart rate over time. Poor initial sleep quality and cognitive status were associated with more overnight disruptions. Lastly, minimal associations were found between sleep health and functional recovery. Conclusions Sleep health during inpatient stroke rehabilitation is generally poor, though improves over time. Sleep is affected by neurological recovery and hospital environment. Overnight activity and autonomic biomarkers were associated with perceived sleep health, and both physiological and environmental factors triggered disruptions. The association between functional recovery and indirect indicators of sleep health requires further investigation. These findings reveal new insights about inpatient sleep which can inform early, targeted sleep interventions to optimize post-stroke outcomes. SIESTA, ClinicalTrials.gov (NCT04254484).
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