Depressive symptoms and functional status are associated with sleep quality after stroke

The Association between Sleep Quality and Depressive Symptoms among Stroke Survivors and Caregivers

BACKGROUND

Stroke is a serious health problem that can lead to the development of depressive symptoms, sleep disturbances, and functional dependence in stroke survivors. The change in stroke survivors' quality of life results in negative health outcomes for stroke survivors and caregivers. This study aims to investigate the association between sleep quality and depressive symptoms among stroke survivors and caregivers in Saudi Arabia.

METHODS

A cross-sectional design was used to collect data from 100 stroke survivors and 80 caregivers using the patient health questionnaire and Pittsburgh Sleep Quality Index.

RESULTS

43% of the stroke survivors reported depressive symptoms and 65% had poor sleep quality; 21% of the caregivers reported depressive symptoms and 46% reported poor sleep quality. A strong association between sleep quality and depressive symptoms was detected for the stroke survivors and caregivers: (r = 0.885, p < 0.001); (r = 0.669, p < 0.001), respectively. A strong association was found between caregivers' depressive symptoms and patient post-stroke depressive symptoms (r = 0.502, p < 0.001). A moderate association was found between stroke survivors' sleep quality and caregivers' sleep quality (r = 0.407, p < 0.001). There was a moderate association between stroke survivors' depressive symptoms and caregivers' sleep quality (r = 0.456, p < 0.001). Moreover, there was a moderate association between stroke survivors' sleep quality and caregivers' depressive symptoms (r = 0.492, p < 0.001).

CONCLUSION

Poor sleep quality and depressive symptoms are common among stroke survivors and caregivers. This study found an association between the two variables. Therefore, depressive symptoms and sleep disturbances in stroke survivors and caregivers should receive more attention. Future research should focus on an interventional study to enhance sleep quality and decrease the risk of depressive symptoms.

Psychometric properties of Indonesian version of sleep condition indicator for screening poststroke insomnia

BACKGROUND

No study has examined the psychometric properties of the sleep condition indicator (SCI) for screening poststroke insomnia in the Indonesian population. We aimed to develop the Indonesian version of the sleep condition indicator (ISCI) and to examine its psychometric properties for screening adult patients in late sub-acute and chronic periods after stroke.

METHODS

This was a cross-sectional study with two stages. In the first stage, the English version of the SCI was translated into the ISCI using standard procedures. The psychometric properties of the ISCI were tested in the second stage. Internal consistency and test-retest reliability of ISCI were used to evaluate reliability. A confirmatory factor analysis (CFA) was performed to test construct validity. To test concurrent and convergent validity, the Indonesian version of the insomnia severity index (ISI-INA), generalized anxiety disorder questionnaire (IGAD-7), and patient health questionnaire (IPHQ-9) were used. A receiver operating characteristic (ROC) analysis was conducted to calculate the optimal cutoff score of the ISCI on the basis of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic criteria for insomnia.

RESULTS

A total of 160 adults with a diagnosis of stroke for more than 3 months were included (median age of 58.5 years, 31% met the DSM-5 criteria for insomnia). The ISCI had a satisfactory Cronbach's alpha of 0.89 and test-retest reliability of 0.78. The CFA revealed that the ISCI exhibited a satisfactory model fit and was associated with the ISI-INA, IGAD-7, and IPHQ-9 (r = -0.81, -0.32, and -0.52, respectively; all P < .001). The ROC test revealed that the optimal cutoff point of ≤23 yielded the highest sensitivity (94%) and specificity (97%).

CONCLUSION

The study results revealed that the 8-item ISCI is a reliable and valid screening tool for detecting insomnia symptoms according to the DSM-5 criteria in the chronic period after stroke.

Post-stroke depression in Vietnamese patients is associated with decreased sleep quality and increased fatigue: a one-institution cross-sectional analysis

PURPOSE

This study aimed to determine the prevalence of post-stroke depression (PSD) during the first year and its associated factors, especially focusing on sleep quality and fatigue severity.

METHODS

A cross-sectional study was conducted among stroke patients in Vietnam's National Geriatric Hospital. Data were collected by using standardized questionnaires for interviewing and evaluating patients at the research site. Several covariables were presented including demographics, stroke-related characteristics, activities of daily living, post-stroke fatigue, and sleep quality (Pittsburgh Sleep Quality Index [PSQI] scale). PSD was assessed as an outcome variable through the Patient Health Questionnaire-9 scale. To summarize sociodemographic and clinical variables, descriptive statistics were performed. A logistic regression model was used to explore the factors related to PSD.

RESULTS

Of 157 patients with stroke, mean age 73.1 (± 9.6), PSD was present in 60 patients (38%). The global score and all PSQI components of participants with PSD showed worse levels than those without depression. Furthermore, the prevalence of PSD was higher in patients with low IADL scores and functional disability at high levels. In the multivariate logistic regression analysis, the patients with PSD showed higher Fatigue Severity Scale (FSS) scores (OR = 4.11; 95% CI = 1.39; 12.19) and higher scores in two domains of the PSQI scale including subjective sleep quality (OR = 3.03; 95% CI = 1.21; 7.58) and sleep disturbance (OR = 5.22; 95% CI = 1.33; 20.47).

CONCLUSION

There is a significant prevalence of depression following stroke. Furthermore, post-stroke fatigue and two PSQI scale components (subjective sleep quality and sleep disturbance) were shown to be associated with PSD. This finding may guide early screening and intervention strategies to address depression following stroke.

Psychological Outcome after Hemorrhagic Stroke is Related to Functional Status

BACKGROUND

To identify opportunities to improve morbidity after hemorrhagic stroke, it is imperative to understand factors that are related to psychological outcome.

DESIGN/METHODS

We prospectively identified patients with non-traumatic hemorrhagic stroke (intracerebral or subarachnoid hemorrhage) between January 2015 and February 2021 who were alive 3-months after discharge and telephonically assessed 1) psychological outcome using the Quality of Life in Neurological Disorders anxiety, depression, emotional and behavioral dyscontrol, fatigue and sleep disturbance inventories and 2) functional outcome using the modified Rankin Scale (mRS) and Barthel Index. We also identified discharge destination for all patients. We then evaluated the relationship between abnormal psychological outcomes (T-score >50) and discharge destination other than home, poor 3-month mRS score defined as 3-5 and poor 3-month Barthel Index defined as <100.

RESULTS

73 patients were included; 41 (56%) had an abnormal psychological outcome on at least one inventory. There were 41 (56%) patients discharged to a destination other than home, 44 (63%) with poor mRS score and 28 (39%) with poor Barthel Index. Anxiety, depression, emotional and behavioral dyscontrol and sleep disturbance were all associated with a destination other than home, poor mRS score, and poor Barthel Index (all p<0.05). Fatigue was related to poor mRS score and poor Barthel Index (p=0.005 and p=0.006, respectively).

CONCLUSION

Multiple psychological outcomes 3-months after hemorrhagic stroke are related to functional status. Interventions to improve psychological outcome and reduce morbidity in patients with poor functional status should be explored by the interdisciplinary team.

Self-Reported and Objective Sleep Measures in Stroke Survivors With Incomplete Motor Recovery at the Chronic Stage

Background. Stroke survivors commonly complain of difficulty sleeping. Poor sleep is associated with reduced quality of life and more understanding of long-term consequences of stroke on sleep is needed. Objective. The primary aims were to (1) compare sleep measures between chronic stroke survivors and healthy controls and (2) test for a relationship between motor impairment, time since stroke and sleep. Secondary aims were to explore mood and inactivity as potential correlates of sleep and test the correlation between self-reported and objective sleep measures. Methods. Cross-sectional sleep measures were obtained for 69 chronic stroke survivors (mean 65 months post-stroke, 63 years old, 24 female) and 63 healthy controls (mean 61 years old, 27 female). Self-reported sleep was assessed with the sleep condition indicator (SCI) and sleep diary ratings, objective sleep with 7-nights actigraphy and mood with the Hospital Anxiety and Depression Scale. Upper extremity motor impairment was assessed with the Fugl-Meyer assessment. Results. Stroke survivors had significantly poorer SCI score (P < .001) and higher wake after sleep onset (P = .005) than controls. Neither motor impairment, nor time since stroke, explained significant variance in sleep measures for the stroke group. For all participants together, greater depression was associated with poorer SCI score (R²_adj = .197, P < .001) and higher age with more fragmented sleep (R²_adj = .108, P < .001). There were weak correlations between nightly sleep ratings and actigraphy sleep measures (r_s = .15-.24). Conclusions. Sleep disturbance is present long-term after stroke. Depressive symptoms may present a modifiable factor which should be investigated alongside techniques to improve sleep in this population.