Factors Affecting Poststroke Sleep Disorders

Karaca, Burcu

doi:10.1016/j.jstrokecerebrovasdis.2015.11.015

Cited by 17 publications

(13 citation statements)

References 32 publications

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“…In this study there were no significant correlation between MRI findings (the presence of cortical or subcortical infarction, frontal, thalamic or lacunar infarction, different types of diffuse white matter hyperintensities, degree of brain atrophy and side of infarction; left, right or bilateral) and sleep parameters (subjective sleep assessment; ESS & PSQI or PSG parameters; SE, SL, AI, RDI & SPO2, WASO and SFI) and this might be due to associated widespread injury and dysfunction throughout the brain in cases of stroke [61]. Similar findings were reported by Karaca (2016) who reported that there was no significant correlation between right-left cerebral involvement and sleep quality [38]. Lutsey et al (2016) found that neither OSA nor abnormal sleep duration were statistically significantly associated with cerebral infarcts, white matter brain volumes or regional brain volumes by MRI imaging in VaD and AD patients [62].…”

Section: Discussionsupporting

confidence: 78%

“…Also, Erkinjuntti et al (1987) reported that patients with multi-infarct dementia tended to have more apneas/hypopneas than those with AD, and apneas/hypopneas tended to increase in direct proportion to the severity of dementia [37]. However, Karaca (2016) found no correlation between BMI and sleep quality (PSQI) [38]. This discrepancy may result from differences in evaluation methods; subjective and/or PSG, and differences in the patients' age range.…”

Section: Discussionmentioning

confidence: 99%

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Assessment of Sleep Pattern in Egyptian Elderly with Vascular Dementia

Alloush¹,

Sweed²,

Abdelnaser³

et al. 2019

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Study Objectives: Growing evidence suggests that sleep disturbances is common in vascular dementia (VaD). The goal of the current study is to assess the disturbance in sleep pattern in patients with VaD, and compare it to healthy normally cognitive elderly individuals. We next studied whether there are meaningful differences in the Subjective sleep assessment: Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI) and sleep measurements by polysomnography (PSG) in VaD patients. Study design: Case control study. Subject and methods: Overnight PSG recordings and self-reported sleep measures were obtained from 20 healthy elderly subjects and 20 VaD patients at the sleep laboratory. Results: This study showed abnormal subjective sleep quality in all patients and revealed that the most common sleep complaints among VaD patients were: excessive daytime sleepiness (EDS), sleep disordered breathing (SDB), insomnia, restless leg syndrome (RLS), periodic limb movements (PLMS) and REM behavioral disordered (RBD) respectively. Moreover, patients spent more time in stage I sleep, but less time in slow wave sleep (SWS) and REM sleep compared to control populations, with de-

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Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Assessment of Sleep Pattern in Egyptian Elderly with Vascular Dementia

Alloush¹,

Sweed²,

Abdelnaser³

et al. 2019

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“…In addition, sleep-disordered breathing, which can disturb the sleep of stroke survivors, is most severe at the acute stage [ 55 ]. In a study conducted in a rehabilitation setting, only 39.1% of stroke in-patients experienced poor sleep quality [ 56 ]. Exercise training in that rehabilitation setting might have improved the quality of the in-patients’ sleep, as exercise promotes the consumption of energy and leads to an increased secretion of endorphins [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

Lai

2021

BMC Neurol

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Background The prevalence of fatigue and sleep disturbances is high in stroke populations. Sleep quality can be targeted by interventions to alleviate fatigue following a stroke. This study aimed to determine the prevalence of fatigue and poor sleep quality, and to quantify the contribution of sleep quality to fatigue following a stroke, in chronic (≥1 year) stroke survivors. Methods A cross-sectional design was adopted. A total of 112 stroke survivors (mean age ± standard deviation [year], 64.18 ± 5.77) at 6.08 ± 4.80 years post-stroke completed this study. All participants were assessed using the Fatigue Assessment Scale, the Pittsburgh Sleep Quality Index, the Visual Analogue Scale-Pain, the Fugl-Meyer Assessment of the upper and lower extremities, the 5-Time Sit-To-Stand Test, the Epworth Sleepiness Scale, the Frenchay Activities Index, the Life-Space Assessment, the Community Integration Measure, and the Multidimensional Scale of Perceived Social Support. Pearson and partial correlation coefficients were used to examine the correlation between fatigue and other variables. A multiple linear regression (the forced entry method) was performed to quantify the independent contribution of sleep quality to prediction of fatigue. Results Of the 112 participants, 52.7% reported experiencing fatigue and 64.3% reported poor sleep quality. Sleep quality could independently account for 5.9% of the variance in fatigue scores after a stroke. Conclusions There is a high prevalence of fatigue and poor sleep quality in Chinese stroke survivors. Sleep quality is an independent predictor of fatigue in those living in the community who have survived a stroke for a year or longer.

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“…The reasons for poor sleep quality in people with stroke are varied and may be complex. Some of the known risk factors include sociodemographic factors (e.g., older age, female and lower educational status) (McDermott et al, 2018), lifestyle (e.g., alcohol use, smoking and inadequate physical activity) (Sarfo et al, 2017; Xiaolin Gu, 2017), environmental factors (e.g., weather, light and odours) (Arbel et al, 2020), physiologic factors (e.g., habitual snoring, regional neurodegeneration, stroke severity, lesion location, stroke type and fatigue) (Fisse et al, 2017; Gottlieb et al, 2020), co‐morbid diseases (e.g., diabetes mellitus, hypertension, coronary artery disease and cardiac arrhythmias) (Karaca, 2016) and psychosocial factors (e.g., anxiety symptoms, depression symptoms and stress) (Suh et al, 2014). Amongst these factors affecting sleep quality, demographic characteristics, physiologic factors, certain environmental factors and co‐morbid diseases are not easily altered although these factors are very important.…”

Section: Introductionmentioning

confidence: 99%

Social support and sleep quality in patients with stroke: The mediating roles of depression and anxiety symptoms

Zhao

et al. 2021

Int J of Nursing Practice

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Background Research has demonstrated that higher social support is associated with better psychological health, quality of life, cognition, activities of daily living and social participation, but the relationship between social support and sleep quality remains unknown. Aims This study aimed to assess the incidence of poor sleep quality, clarify the relationship between social support and sleep quality amongst stroke patients and determine whether anxiety and depression symptoms mediate this relationship. Methods We conducted a quantitative, cross‐sectional study involving 238 patients with stroke (median age of 61 [range 29–87] years, 68.1% male) recruited from a comprehensive tertiary care hospital between September 2019 and January 2020. A self‐administered, structured questionnaire was used for the survey. The mediating effect of anxiety and depression symptoms was assessed using the bootstrap method via Model 4 (parallel mediation) of the SPSS PROCESS macro. Results Results showed that the incidence of poor sleep quality amongst stroke patients was 65%. Mediation analysis showed that social support exerted significant direct effects on sleep quality, and anxiety and depression symptoms mediated the relationship between social support and sleep quality. Conclusion Measures should be taken to enhance social support to improve the sleep quality of stroke patients.

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Factors Affecting Poststroke Sleep Disorders

Cited by 17 publications

References 32 publications

Assessment of Sleep Pattern in Egyptian Elderly with Vascular Dementia

Assessment of Sleep Pattern in Egyptian Elderly with Vascular Dementia

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

Social support and sleep quality in patients with stroke: The mediating roles of depression and anxiety symptoms

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