Stroke impact symptoms are associated with sleep-related impairment

Daily bidirectional associations between sleep and anxiety, depression, and fatigue in stroke survivors: A 7-day intensive longitudinal study

OBJECTIVE

To examine the bidirectional relationship between sleep quality and mood states including fatigue, depression, and anxiety in stroke survivors.

DESIGN

A prospective observational study utilizing ecological momentary assessment (EMA) surveys conducted three times daily over a 7-day period.

SETTING

A tertiary-level, class A hospital.

PARTICIPANTS

Thirty-four stroke survivors (N=34).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

EMA measures of mood symptoms (fatigue, depression, anxiety) and sleep, including subjective and objective total sleep time (TST), sleep onset latency (SOL), total wake after sleep onset (WASO), number of awakenings (NWK), sleep efficiency (SE), and sleep quality.

RESULTS

Multilevel models revealed that more frequent NWK and increased TST were associated with greater fatigue, while higher SE was linked to lower depression levels. EMA analyses showed that greater daytime fatigue and evening anxiety were unexpectedly associated with improved same-night sleep quality, while better sleep quality was linked to increased next-day fatigue. No significant associations were found between sleep quality and next-day depression or anxiety. Fatigue and anxiety peaked in the morning and decreased significantly by evening, while depression showed reductions in the afternoon and evening compared to morning levels. However, no significant interaction was observed between sleep quality and time of day in their effects on mood.

CONCLUSION

This study provides preliminary evidence of the intricate and dynamic relationship between sleep and mood in stroke survivors, highlighting the bidirectional associations and time-of-day effects. These findings emphasize the need for targeted, personalized, and multifaceted interventions to improve both sleep and mood in stroke patients. Further research is necessary to validate these observations and explore mechanisms underlying these associations.

Association between post-stroke depression and post-stroke sleep disorders: a systematic review and meta-analysis

BACKGROUND

Post-stroke depression (PSD) and post-stroke sleep disorders (PSSD) are common concurrent symptoms in post-stroke patients, and their early detection may have an impact on stroke recovery and prognosis. The purpose of this study is to determine the relationship between PSD and PSSD.

METHODS

We systematically searched PubMed, Embase, Web of Science, Cochrane Library, APA PsycInfo, Medline, Scopus, Technology Periodical Database (VIP), China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI), and WanFang Data databases for studies on the association between PSD and PSSD, with a search timeframe ranging from database construction to May 9, 2024, two researchers independently performed literature search, screening and quality assessment, and RevMan (version 5.4) and Stata (version 15.1) software were used for statistical analysis.

RESULTS

We included 16 studies, nine in Chinese and seven in English, with 2,284 stroke patients. The results showed that the pooled Fisher's Z was 0.58 (95% CI = 0.52-0.65, P < 0.00001). After data transformation, the pooled r-value was 0.52, indicating a positive correlation between PSD and PSSD.

CONCLUSIONS

The available evidence suggested that PSD was positively correlated with PSSD. Given the correlation between PSD and PSSD, alleviating PSSD may reduce the incidence of PSD, and improving PSD may also improve patients' sleep quality.

Improving sleep after stroke: A randomised controlled trial of digital cognitive behavioural therapy for insomnia

Stroke is frequently accompanied by long-term sleep disruption. We therefore aimed to assess the efficacy of digital cognitive behavioural therapy for insomnia to improve sleep after stroke. A parallel group randomised controlled trial was conducted remotely in participant's homes/online. Randomisation was online with minimisation of between-group differences in age and baseline Sleep Condition Indicator-8 score. In total, 86 community-dwelling stroke survivors consented, of whom 84 completed baseline assessments (39 female, mean 5.5 years post-stroke, mean 59 years old), and were randomised to digital cognitive behavioural therapy or control (sleep hygiene information). Follow-up was at post-intervention (mean 75 days after baseline) and 8 weeks later. The primary outcome was self-reported insomnia symptoms, as per the Sleep Condition Indicator-8 (range 0-32, lower numbers indicate more severe insomnia, reliable change 7 points) at post-intervention. There were significant improvements in Sleep Condition Indicator-8 for digital cognitive behavioural therapy compared with control (intention-to-treat, digital cognitive behavioural therapy n = 48, control n = 36, 5 imputed datasets, effect of group p ≤ 0.02,η p 2  = 0.07-0.12 [medium size effect], pooled mean difference = -3.35). Additionally, secondary outcomes showed shorter self-reported sleep-onset latencies and better mood for the digital cognitive behavioural therapy group, but no significant differences for self-efficacy, quality of life or actigraphy-derived sleep parameters. Cost-effectiveness analysis found that digital cognitive behavioural therapy dominates over control (non-significant cost savings and higher quality-adjusted life years). No related serious adverse events were reported to the researchers. Overall, digital cognitive behavioural therapy for insomnia effectively improves sleep after stroke. Future research is needed to assess earlier stages post-stroke, with a longer follow-up period to determine whether it should be included as part of routine post-stroke care. Clinicaltrials.gov NCT04272892.

A Systematic Review and Meta-Analysis on the Identification of Predictors Associated With Insomnia or Sleep Disturbance in Post-stroke Patients

The aim of this study was to identify the factors associated with sleep disturbances in individuals after a stroke. To systematically identify relevant studies, an extensive search strategy was devised. We conducted comprehensive searches in major electronic databases including PubMed, Embase, PsycINFO, and Cochrane Library. The search was limited to articles published in English between January 1, 2011, and February 10, 2024. Pooled effect estimates, such as odds ratio (OR) or mean difference (MD) along with their confidence interval (CIs), were calculated using random-effects models for categorical variables and continuous variables, respectively. A total of nine studies were included in this meta-analysis. The pooled prevalence of insomnia across the included studies was determined to be 40% (95% CI = 30%-49%), with individual study prevalence ranging from 22% to 72%. A pooled analysis showed that gender demonstrated a statistically significant association with sleep disturbance, with females exhibiting a higher likelihood (OR = 1.49, 95% CI = 1.16-1.91, p = 0.002) compared to males. The National Institutes of Health Stroke Scale (NIHSS) score, a measure of stroke severity, was associated with sleep disturbance (MD = 0.86, 95% CI = 0.56-1.17, p = 0.001), indicating that patients with severe strokes may be more prone to sleep disturbances. These findings underscore the importance of comprehensive evaluation and targeted interventions to address sleep-related issues in stroke patients, particularly those with severe neurological impairment.

Nourishing the Mind: How Food Security Influences Mental Wellbeing

Food insecurity is a significant public health problem worldwide and critical to mental health. There is a complex relationship between food security and mental health. We carried out a narrative review study aiming to address how food insecurity impacts mental wellbeing by focusing on the mental health repercussions of food insecurity, recognizing its pivotal role in attaining Sustainable Development Goals 2 (on hunger) and 3 (on enhancing global wellbeing). A comprehensive search was conducted on PubMed and Google Scholar, incorporating Google searches for pertinent reports and policy documents. To address these questions, we emphasized and elucidated the interconnectedness between food security and mental health. The review shows that food security and mental health share a profound relationship influenced by multifaceted factors like socioeconomic conditions, access to nutritious food, and societal inequalities. We then provide recommendations for integrating food security into mental health strategies based on the insights and conclusions drawn. Strategies ranging from sustainable farming practices to urban agriculture initiatives and digital mental health services demonstrate avenues for enhancing food safety and mental wellbeing. This highlights the need for collaborative interdisciplinary efforts and systemic reforms to address these interconnected challenges.

The Life After Stroke In Northern Sweden Study (LASINS): Methodology, cohort demographics and initial results

BACKGROUND

To advance rehabilitation we need a comprehensive understanding of functioning and disability of people after stroke.

OBJECTIVE

To present an overview of the methodology of the Life After Stroke In Northern Sweden Study, compare participants and non-participants regarding gender and age, and describe baseline sociodemographics, stroke characteristics and the participants' self-rated degree of recovery.

METHODS

Data were collected through a study specific questionnaire, from the participants' medical records and with internationally established self-assessment tools focusing on sleep disturbances, depressive symptoms, fatigue, physical activity, and remaining physical and cognitive impairments, activity limitations, participation restrictions and life satisfaction.

RESULTS

Of 301 potential participants, 160 comprise the final sample (response rate 53%; 86 men and 74 women, mean age 73 years±11, mean time since stroke onset 35 months±11; 18- 61). Most participants had an ischemic stroke (87%), were retired (84%), cohabitant (63%) and walked independently (71%). The mean self-rated degree of recovery was 75 (SD±24; 0- 100).

CONCLUSIONS

These baseline data together with forthcoming studies will describe stroke-related impairments, activity limitations, participation restrictions and life satisfaction more than one year after stroke, and deepen our understanding of factors of importance for a healthy and successful life after stroke.

Prevalence and determinants of post-stroke sleep disorders: a cross-sectional hospital-based study

INTRODUCTION

Post-stroke sleep disorders (PSSD) are an important part of post-stroke disability. PSSD is neglected as a part of stroke rehabilitation. We aimed to study the prevalence and determinants of PSSD in a hospital based, single center setting.

METHODS

In a cross-sectional study, adult patients (≥ 18 years) with stroke (one month to one year after the onset), were enrolled in the study. Demographic, clinical, radiological, and motor and functional disabilities were assessed. Sleep quality was assessed with Pittsburg Sleep Quality Index (PSQI) and STOP BANG questionnaire (for obstructive sleep apnea [OSA]). Patients with poor sleep quality (PSQI > 5) were analyzed for risk factors.

RESULTS

A total of 103 patients were recruited in the study period (January 2021 to June 2022). The self-reported prevalence of PSSD was 16% which increased to 72% when the PSQI was administered. High risk of OSA was present in 33%. In bivariate analysis, factors associated with PSQI > 5 were involvement of ≥ 2 lobes, lower body mass index (BMI), worse modified Rankin Scale (mRS), Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A) and Stroke Specific Quality of Life (SSQoL). In multivariate analysis, only depression was associated with PSQI > 5 (OR: 1.3 (1.0; 1.7); p-value = 0.03).

CONCLUSION

PSSD had a prevalence of 72%. In multivariate analysis, the factor associated with PSQI > 5 was worse HAM-D score.

Repetitive transcranial magnetic stimulation (rTMS) for post-stroke sleep disorders: a systematic review of randomized controlled trials

OBJECTIVE

Survivors of stroke often experience post-stroke sleep disorders (PSSDs), but pharmacotherapy risks adverse side effects. Transcranial magnetic stimulation (TMS) is potentially a nonpharmacotherapeutic option. This meta-analysis investigated the effects of rTMS to treat PSSD.

METHODS

Databases were searched for randomized controlled trials (RCTs) of rTMS to treat PSSD, conducted in accordance with the PRISMA 2020 guidelines. Risk-of-bias assessments were performed using the Cochrane risk-of-bias tool. A meta-analysis of the following indexes was performed using RevMan 5.4 software: Pittsburgh sleep quality index; effective rate of sleep improvement; Hamilton Anxiety Rating Scale (for mood); and National Institute of Health Stroke Scale (NIHSS, stroke severity). Mean differences (MDs) and confidence intervals (CIs) were calculated.

RESULTS

The meta-analysis included 17 RCTs, with 1411 patients overall. The indexes indicated that rTMS could improve the sleep quality, mood, and stroke severity of patients with PSSD: Pittsburgh sleep quality index (12 studies; MD =  - 2.51, 95% CI [- 3.24, - 1.79], P < 0.00001); effective rate of sleep improvement (7 studies; MD = 4.03, 95% CI [2.43, 6.68], P < 0.0001); Hamilton Anxiety Rating Scale (2 studies; MD =  - 4.05, 95% CI [- 4.77, - 3.32], P < 0.00001); and NIHSS (2 studies; MD = -2.71, 95% CI [- 3.36, - 2.06], P < 0.00001).

CONCLUSION

The results suggest that rTMS may have positive effects on the sleep quality, mood, and stroke severity of patients with PSSD.

Ischemic Stroke Disrupts Sleep Homeostasis in Middle-Aged Mice

Sleep disturbances, including insomnia and excessive daytime sleepiness, are highly prevalent in patients with ischemic stroke (IS), which severely impacts recovery and rehabilitation efforts. However, how IS induces sleep disturbances is unclear. Three experiments were performed on middle-aged C57BL/6J mice, instrumented with sleep recording electrodes and/or subjected to 1 h of middle cerebral artery (MCAO; Stroke group) or sham (Sham group) occlusion to induce IS. After 48 h of reperfusion (a) experiment 1 verified sensorimotor deficit (using Garcia scale) and infarction (using TTC staining) in this mouse model; (b) experiment 2 examined the effects of IS on the quality (sleep latency and NREM delta power) and quantity (duration) of sleep; and (c) experiment 3 determined the effects of IS on sleep homeostasis using sleep deprivation (SD) and recovery sleep (RS) paradigm. Stroke mice display (a) a significant correlation between sensorimotor deficit and cerebral infarction; (b) insomnia-like symptoms (increased sleep latency, reduced NREM duration and delta power) during the light (inactive) period and daytime sleepiness-like symptoms during the dark (active) period mimicking sleep in IS patients; and (c) impairments in the markers of sleep pressure (during SD) and sleep dissipation (during RS). Our results suggest that IS disrupts sleep homeostasis to cause sleep disturbances.

The use of PROMIS measures in clinical research in stroke patients, a systematic literature review

Objective

To systematically describe the use and outcomes of Patient-Reported Outcomes Measurement Information System (PROMIS) measures in clinical studies in populations with stroke.

Data Sources

A systematic search on the use of PROMIS measures in clinical stroke studies in 9 electronic databases.

Study Selection

Studies had to be original, reporting on outcome data using PROMIS measures in populations with stroke (ischemic and/or hemorrhagic), from January 1st, 2007. Initially, 174 unique studies met the inclusion criteria. In 2 steps, titles, abstracts and full-text articles were screened for eligibility (2 authors independently).

Data Extraction

From the selected articles, study characteristics, type of PROMIS measures, and its outcomes were extracted by 2 authors independently. The authors discussed their views to achieve consensus. A third author was consulted if necessary.

Data Synthesis

In total, 27 studies (24,366 patients) were included, predominantly from the United States (22); most study populations were hospital-based (20); the number of patients ranged from 30-3283. In general, patients had no or mild symptoms (median modified Rankin scale 1). Two different generic PROMIS measures were reported (PROMIS Global Health, PROMIS 29) and 9 PROMIS measures focusing on specific domains (sleep, pain, physical functioning, self-efficacy, satisfaction with social roles, depression, anxiety, cognition, fatigue). These match the International Classification of Functioning, Disability, and Health (ICF) domains mentioned in the Core Set for Stroke. The measures were administered 1-55 months after stroke. Outcome data are provided. Pooling of data was not achieved because of a large variety in study characteristics (inclusion criteria, follow-up moments, data processing).

Conclusions

The PROMIS measures in this review could be relevant from a patient's perspective, covering ICF core set domains for patients with stroke. The large variety in study characteristics hampers comparisons across populations. Many different outcome measures are used to report results of stroke rehabilitation studies.

Characterization of muscle strength using the strength domain of the stroke impact scale: An integrative review

BACKGROUND AND OBJECTIVE: Muscle weakness is among the most common and obvious impairments in older adults and individuals with neurologic disorders. Although impairments in muscle strength are typically characterized using performance measures, the impairments have also been described using patient or observer-report. The objective of this review was to summarize literature describing use of a patient-report instrument, the Strength Domain (SD) of the Stroke Impact Scale (SIS), to grade strength impairments. METHODS: Peer-reviewed literature reporting SD scores for the SIS was identified using computerized searches of the CINAHL, PubMed, and Scopus databases followed by hand searches. Potentially relevant articles were then mined for data on the participants tested, the SIS version used, scores documented, and clinimetric properties reported. RESULTS: Sixty-five articles were judged appropriate based on inclusion and exclusion criteria. The articles involved more than 7000 residents of 22 countries. All articles focused on individuals with stroke (usually chronic), although one also included community-dwelling adults without stroke. The SIS version used was frequently unreported, but 3.0 was version most often specified. For articles reporting SD scale scores the mean ranged from 19.7 to 85.5. Construct (known groups, convergent, and discriminant) validity of the SD was supported by the literature as was its internal consistency and test-retest reliability. Responsiveness of the SD was evinced by numerous studies showing increases in SD scores with time or accompanying effective interventions. However, only one study indicated responsiveness using an anchor-based statistic. CONCLUSIONS: The SD of the SIS is a well-established and mostly clinimetrically sound patient-report measure of paretic limb strength among individuals with stroke. Its use with individuals with weakness accompanying aging or diagnoses other than stroke remains to be substantiated.

Sleep problems worsen health-related quality of life and participation during the first 12 months of stroke rehabilitation

OBJECTIVE

Evaluate the impact of self-reported sleep problems on post-stroke recovery.

DESIGN

Cross-sectional secondary analysis of longitudinal data from the Locomotor Experience Applied Post-Stroke (LEAPS) rehabilitation and recovery study (phase-III single-blind randomized controlled clinical trial). Group medians were compared for three sleep problem groups across three time points.

SETTING

Outpatient and in-home physical therapy.

SUBJECTS

Adults during the first year following stroke (n = 408, 380, 360 at 2, 6, 12 months, respectively).

INTERVENTIONS

The original study compared effects of locomotor training with body weight support in the year post-stroke. This analysis evaluated function in three sleep/functional-impact groups: no sleep problems, sleep problems with no-to-minimal-impact and sleep problems with moderate-to-quite-a-bit of impact.

MAIN MEASURES

Participants' responses regarding if they had "a sleep problem, such as insomnia" and, if so, what the impact was on their function. Stroke Impact Scale subscales for strength, hand function, mobility, ADLs, memory, communication, emotion, participation, and percent recovery.

RESULTS

About 25% of people with stroke reported sleep difficulty, 10% perceived sleep problems negatively impact function. Groups self-reporting worse sleep performed worse in all functional subscales (except self-perceived percent recovery) during the first year post-stroke.

CONCLUSION

Self-reported poor sleep adversely effects post-stroke functional recovery.