Sleep Duration, Sedentary Behavior, Physical Activity, and Quality of Life after Inpatient Stroke Rehabilitation

Similarities and differences in factors associated with high and low sedentary behavior after stroke: a mixed methods study

PURPOSE

To identify similarities and differences in factors affecting activity engagement between adults with stroke who are more and less sedentary.

MATERIALS AND METHODS

Data were pooled from two studies of adults with stroke (N = 36). Sedentary time was measured activPAL micro3. Participants completed activPAL interviews, which were analyzed using framework analysis. Participants were stratified into more and less sedentary groups based on activPAL data. Between-group similarities and differences were identified.

RESULTS

Adults with stroke (mean [SD] age = 65.8 [13.6] years, stroke chronicity = 40.5 [SD = 38.3] months, 36.1% female) were more sedentary (785.5 [64.7] sedentary minutes/day) and less sedentary (583.6 [87.4] sedentary minutes/day). Those who were more sedentary: engaged in basic activities of daily living, avoided activities, received assistance from other people, and did not use strategies to overcome barriers. Those who were less sedentary: engaged in instrumental and community activities, embraced new strategies, did activities with other people, and used strategies to overcome environmental barriers.

CONCLUSIONS

Factors affecting activity engagement differed between people who are more and less sedentary. Interventions that aim to reduce post-stroke sedentary behavior should consider the: (1) types of activities, (2) role of other people, and (2) application of strategies to overcome activity and environment-related barriers.

Does Sleep Moderate the Effects of Exercise Training or Complex Mental and Social Activities on Cognitive Function in Adults With Chronic Stroke? Secondary Analysis of a Randomized Trial

BACKGROUND

Exercise (EX) or cognitive and social enrichment (ENRICH) are 2 strategies for promoting cognition poststroke. Whether sleep moderates the effects of EX or ENRICH on cognition in adults with chronic stroke is unknown.

METHODS

A 3-arm parallel randomized clinical trial among community-dwelling adults aged 55+ years with chronic stroke (ie, ≥12 months since stroke). Participants were randomized to 2× per week EX, ENRICH, or balance and tone control (BAT). At baseline, device-measured sleep duration and efficiency were measured using wrist-worn actigraphy; self-reported quality was measured by Pittsburgh Sleep Quality Index (PSQI). Participants were categorized at baseline as having good or poor device-measured duration, device-measured efficiency, or self-reported quality based on PSQI. The primary cognitive outcome was Alzheimer's Disease Assessment Scale Plus (ADAS-Cog-Plus) measured at baseline, 6 months (end of intervention), and 12 months (6-month follow-up). We examined if baseline sleep categorizations (ie, good vs poor) moderated the effects of EX or ENRICH on ADAS-Cog-Plus.

RESULTS

We enrolled 120 participants in the trial (EX = 34; ENRICH = 34; BAT = 52). Sleep quality (ie, device-measured sleep efficiency or self-reported sleep quality) categorization moderated effects of EX (but not ENRICH) on ADAS-Cog-Plus. Compared with BAT participants with poor sleep quality, EX participants with poor sleep quality had better ADAS-Cog-Plus performance at 6 months (estimated mean difference for those with poor device-measured sleep efficiency: -0.48; 95% CI [-0.85, -0.10]; p = .010); estimated mean difference for those with poor self-reported sleep quality: -0.38; 95% CI [-0.70, -0.07]; p = .014). There was no effect of EX on ADAS-Cog-Plus for participants with good sleep quality. Device-measured sleep duration did not moderate intervention effects.

CONCLUSIONS

Exercise is particularly beneficial in improving cognitive function in adults with chronic stroke and poor sleep quality.

Compositional associations between movement-related behaviours and functional outcomes post-stroke

PURPOSE

To examine the associations between the composition of movement-related behaviours (sedentary behaviour, sleep, standing, and stepping) and functional outcomes post-stroke.

METHODS

This study included 34 adults with stroke (mean age: 64.6 ± 12.5 years; time since stroke: 3.5 ± 1.1 months) who underwent an 8-week sedentary behaviour intervention. Functional outcomes were assessed using the timed up and go (TUG) and gait speed tests. Compositional data analysis was used to investigate the relationships between movement-related behaviours and functional outcomes.

RESULTS

The baseline composition of movement-related behaviours showed significant associations with changes in TUG (F = 4.28, p = 0.01) and gait speed (F = 4.63, p = 0.01) after the 8-week reducing sedentary behaviour intervention. Reallocating ≥ 30 min/day to stepping, while proportionally decreasing other movement-related behaviours, was associated with a significant change in TUG. Similarly, a relative reallocation of ≥ 40 min/day to stepping was associated with a clinically meaningful change in gait speed.

CONCLUSIONS

This study highlights the importance of considering movement-related behaviours in relation to functional outcomes post-stroke. Reallocating at least 30 min per day to stepping, relative to a reduction in other movement-related behaviours, is associated with significant and meaningful change in functional outcomes.

The relationship between levels of physical activity and participation in everyday life in stroke survivors: A systematic review and meta-analysis

BACKGROUND

Stroke survivors demonstrate decreased physical activity (PA) and take time to return to participation in everyday life, but the relationship between the two variables is unknown.

OBJECTIVE

To investigate the correlation and trajectory over time between levels of PA and participation in everyday life in stroke survivors.

METHODS

PubMed, Web of Science, Scopus, SPORTDiscus, Rehabilitation&Sport Medicine Source, and PEDro databases were searched from inception to January 2024. Cross-sectional and prospective studies evaluating both levels of PA and participation in stroke survivors were included. Two reviewers independently conducted the study selection, data extraction, and quality assessment. Meta-analyses of pooled correlation coefficients were calculated when at least two studies reported a correlation coefficient between the same PA and participation outcomes.

RESULTS

Of 4962 studies identified, 49 were included in the systematic review. Studies were rated high (55%%) or fair (45%) quality. A wide range of monitoring methodologies for assessing PA and participation were found in the 23 prospective studies. Seven studies were included in the meta-analyses, showing a positive moderate correlation between PA time and participation in activities of daily living (n = 148; r = 0.52; P < 0.01; I2 = 81%) in participants <6 months post-stroke, and between PA time and the participation in all areas (n = 126; r = 0.44; P < 0.01; I2 = 0%) in participants ≥6 months post-stroke. Overall, while PA showed significant improvements over time, participation only showed a tendency.

CONCLUSION

Despite the heterogeneity, consistent positive associations were found between PA time and participation levels in some areas. Establishing consensus is crucial to reduce heterogeneity and facilitate data pooling.

Perceived social support on objective measured sedentary behavior of stroke patients: the mediating role of exercise self-efficacy

Introduction

As stroke patients may have impaired motor function, there may have increased sedentary behavior. Factors associated with sedentary behavior need to be explored to develop targeted interventions. Although studies explore the effects of exercise self-efficacy and perceived social support on sedentary behavior, the relationship is not clear. The aim of this study was to explore the mediating effect of exercise self-efficacy on perceived social support and objective measured sedentary behavior in stroke patients.

Methods

The random sampling method was adopted to select 275 stroke patients from the neurology department of a third-grade hospital of Henan Province from June 2023 to March 2024 in a cross-sectional descriptive study. A general data questionnaire, exercise self-efficacy scale, perceived social support scale, and ActiGraph GT3X accelerometer were used to investigate. The structural equation model was used to analyze the mediating effect of exercise self-efficacy between perceived social support and sedentary behavior.

Results

The mean sedentary behavior time in stroke patients in this study was (479.65 ± 112.65) min, the mean score of perceived social support was (47.53 ± 17.16), and the mean score of exercise self-efficacy was (24.19 ± 6.25). The correlation analysis revealed that, the sedentary behavior of stroke patients was negatively correlated with exercise self-efficacy and perceived social support. The results of the mediation analysis showed that exercise self-efficacy played a partial mediating role between perceived social support and sedentary behavior.

Conclusion

Perceived social support and exercise self-efficacy were influential factors in sedentary behavior. Moreover, the impact of perceived social support on sedentary behavior was partially mediated by exercise self-efficacy. Therefore, to decrease the sedentary behavior, it is crucial to improve the level of perceived social support in stroke patients. Patients with less perceived social support can improve their exercise self-efficacy and thus perceive more social support.

Associations of sedentary behaviors with mental health outcomes in a cohort of patients with minor ischemic stroke

OBJECTIVE

The relationship between sedentary behaviors and functional outcomes of acute ischemic stroke (AIS) has been previously reported. However, it remains unclear whether sedentary behaviors are associated with mental health outcomes in AIS patients. Therefore, the objective of this study was to investigate the mental health outcomes in patients with minor AIS one year after stroke onset.

METHODS

This cross-sectional study recruited 1230 patients with minor AIS (NIHSS ≤ 5) from three hospitals in China. One year after discharge, patients were interviewed using face-to-face questionnaires, including the PHQ-9, GAD-7, and ISI, to assess symptoms of depression, anxiety, and insomnia, respectively. Participants were categorized into the long sedentary time group and the short sedentary time group based on the median sedentary time of all participants. The associations between leisure sedentary time and mental health outcomes were investigated.

RESULTS

Participants with a long leisure sedentary time had higher PHQ-9, GAD-7, and ISI scores than those with a short sedentary time. Longer sedentary time was associated with an increased risk of experiencing symptoms of major depression (RR, 95% CI: 1.79, 1.47 to 2.18), anxiety (RR, 95% CI: 3.28, 2.08 to 5.18), and insomnia (RR, 95% CI: 2.58, 2.03 to 3.28) one year after a minor AIS.

CONCLUSION

Excessive sedentary time is associated with long-term mental health conditions after stroke. Therefore, reducing the sedentary time might be helpful for preventing poststroke depression, anxiety, and insomnia.

Changes in sedentary behavior in the chronic phase following stroke

BACKGROUND

Sedentary behavior increases risk for cardiovascular diseases. Little is known about sedentary behavior through the chronic phase after stroke. We aimed to describe how long and short bouts of sedentary behavior changed over the first three years after stroke and if cognition at baseline was an independent risk factor for sedentary behavior.

METHODS

This is a sub-study of the Norwegian cognitive impairment after stroke (Nor-COAST) study, a multicenter study recruiting patients with acute stroke. Sedentary behavior was monitored with a thigh-worn sensor (ActivPal3®), at three-, 18- and 36-months post stroke. Stroke severity was assessed by National Institutes of Health Stroke Scale (NIHSS) and cognition by Montreal cognitive assessment (MoCA). Mixed model analysis with mean number of sedentary minutes accumulated daily as the dependent variable was repeated for all four zones (<30min, 30-60min, 60-90min, >90min) and for total sedentary time.

RESULTS

The number of included participants was 528 (mean age 71.4, NIHSS on day 1, 2.7). The total amount of sedentary time accumulated between 08.00-22.00 increased significantly from about 9.8 hours at three months to 10.1 hours at 36 months post stroke (p=0.002). Patient characteristics associated with prolonged duration of the sedentary bouts and sedentary time were age, high BMI, comorbidities, and impaired physical function. No significant associations between MoCA score and sedentary time were found.

CONCLUSION

The participants became increasingly sedentary and had fewer breaks in sedentary time from three to 36 months after stroke. Baseline cognition was not related to later sedentary behavior.

The Association between fatigue and physical activity in patients hospitalized with subacute stroke

BACKGROUND

Little is known about the association between fatigue and physical activity in patients hospitalized with subacute stroke.

OBJECTIVES

The aim of this study was to investigate the association between fatigue and physical activity in patients hospitalized with subacute stroke.

METHODS

This cross-sectional study enrolled 244 consecutive patients with stroke who were admitted to a subacute rehabilitation ward at our hospital. We assessed fatigue with the Fatigue Assessment Scale (FAS) and used an accelerometer (Active style Pro HJA750-C, OMRON) to record the mean duration of sedentary behavior, light-intensity physical activity (LIPA), and moderate-to-vigorous-intensity physical activity (MVPA). We assessed all factors at 1 month after stroke. Multivariate linear regression analysis revealed the associations between FASscore and objectively measured physical activity.

RESULTS

In total, we analyzed 85 patients. The duration of the sedentary behavior was significantly associated with the FAS score (β  = 1.46, p = 0.037) and the Functional Balance Scale score (β = -1.35, p = 0.045). The LIPA time was significantly associated only with the FBS score (β = 1.38, p = 0.045), whereas MVPA was not associated with any variable.

Highlighting Unseen Activity Through 48-Hour Continuous Measurement in Subacute Stroke Rehabilitation: Preliminary Cohort Study

BACKGROUND

Motor impairments not only lead to a significant reduction in patient activity levels but also trigger a further deterioration in motor function due to deconditioning, which is an issue that is particularly pronounced during hospitalization. This deconditioning can be countered by sustaining appropriate activity levels. Activities that occur outside of scheduled programs, often overlooked, are critical in this context. Wearable technology, such as smart clothing, provides a means to monitor these activities.

OBJECTIVE

This study aimed to observe activity levels in patients who had strokes during the subacute phase, focusing on both scheduled training sessions and other nontraining times in an inpatient rehabilitation environment. A smart clothing system is used to simultaneously measure heart rate and acceleration, offering insights into both the amount and intensity of the physical activity.

METHODS

In this preliminary cohort study, 11 individuals undergoing subacute stroke rehabilitation were enrolled. The 48-hour continuous measurement system, deployed at admission and reassessed 4 weeks later, monitored accelerometry data for physical activity (quantified with a moving SD of acceleration [MSDA]) and heart rate for intensity (quantified with percent heart rate reserve). The measurements were performed using a wearable activity monitoring system, the hitoe (NTT Corporation and Toray Industries, Inc) system comprising a measuring garment (wear or strap) with integrated electrodes, a data transmitter, and a smartphone. The Functional Independence Measure was used to assess the patients' daily activity levels. This study explored factors such as differences in activity during training and nontraining periods, correlations with activities of daily living (ADLs) and age, and changes observed after 4 weeks.

RESULTS

A significant increase was found in the daily total MSDA after the 4-week program, with the average percent heart rate reserve remaining consistent. Physical activity during training positively correlated with ADL levels both at admission (ρ=0.86, P<.001) and 4 weeks post admission (ρ=0.96, P<.001), whereas the correlation between age and MSDA was not significant during training periods at admission (ρ=-0.41, P=.21) or 4 weeks post admission (ρ=-0.25, P=.45). Conversely, nontraining activity showed a negative correlation with age, with significant negative correlations with age at admission (ρ=-0.82, P=.002) and 4 weeks post admission (ρ=-0.73, P=.01).

CONCLUSIONS

Inpatient rehabilitation activity levels were positively correlated with ADL levels. Further analysis revealed a strong positive correlation between scheduled training activities and ADL levels, whereas nontraining activities showed no such correlation. Instead, a negative correlation between nontraining activities and age was observed. These observations suggest the importance of providing activity opportunities for older patients, while it may also suggest the need for adjusting the activity amount to accommodate the potentially limited fitness levels of this demographic. Future studies with larger patient groups are warranted to validate and further elucidate these findings.

The relationship between physical activity and stroke in middle-aged and elderly people after controlling demography variables, health status and lifestyle variables

The increase in the number of stroke patients in China brain has led to the decline in quality of life and the burden of family economic conditions. This study explored the relationship between stroke and physical activity (PA) in middle-aged and elderly Chinese after controlling Demography, health status and lifestyle variables, providing a new basis for the prevention and treatment of stroke in the elderly. The data is from the 2018 China Health and Retirement Longitudinal study. Five thousand seventy people over 50 years old with complete information on PA, stroke, Demography, health status and lifestyle were included in the analysis. SPSS 27.0 software was used to conduct Z test, logistic regression analysis and linear hierarchical regression analysis on the collected data. The results showed that high-level physical exercise was significantly negatively correlated with stroke (P < .05). After adjusting Demographics characteristics (gender, registered residence type, education level, age, widowhood or not), health status characteristics and living habits (arthritis, bad mood, asthma, hyperlipidemia, disability, memory disease, health self-evaluation, hypertension, smoking, depression), There was still statistical significance (P < .05) between PA and stroke. This study concludes that middle-aged and elderly people with high PA have a lower risk of stroke. In the process of preventing and improving stroke symptoms in the elderly, it is important to maintain high PA while also paying attention to health management and a healthy lifestyle.

The whole day matters after stroke: Study protocol for a randomized controlled trial investigating the effect of a 'sit less, move more, sleep better' program early after stroke

BACKGROUND

Movement-related behaviours, including prolonged sedentary behaviour, physical inactivity, and poor sleep, are associated with worse functional outcomes poststroke. Addressing these co-dependent behaviours early after stroke may help to optimize recovery and improve overall quality of life for individuals with stroke.

OBJECTIVE

This study aims to determine the feasibility and effect of a 'sit less, move more, sleep better' program early after stroke on functional mobility and global disability outcomes, while also exploring imaging and behavioural markers that may influence walking recovery.

METHODS

The study is an assessor-blinded, single-center, parallel-group, randomized controlled trial to be completed within 24 months from July 12, 2023 to June 30, 2025. We will enroll 50 patients with acute ischemic stroke within 7 days from symptom onset, aged 18 years or older, and with ongoing walking goals. Demographic and stroke characteristics, including stroke risk factors, neuroimaging, and acute stroke treatments, will be determined and documented. All participants will wear an accelerometer for one week at three different time-points (baseline, 6, and 12 weeks) to assess movement-related behaviours. Following randomization, participants in the intervention arm will receive a 'sit less, move more, sleep better' program for up to 1 hour/day, 5 days/week, for 6 weeks to enhance self-efficacy for change. Participants in the control arm will receive usual inpatient and early supported stroke discharge care. The feasibility outcomes will include reach (enrolled/eligible), retention (completed/enrolled), adverse events, and program adherence. Other outcomes at 6 and 12 weeks include the modified Rankin Scale, Timed-Up and Go, movement-related behaviours, walking endurance, gait speed, cognition, stroke severity and quality of life. Mixed-effects models will assess changes in outcomes over time. Compositional associations between movement-related behaviours and outcomes will consider covariates such as imaging markers.

DISCUSSION

Adopting a whole-day approach to poststroke rehabilitation will provide valuable insights into the relationship between optimizing movement-related behaviours early after stroke and their impact on functional outcomes. Through exploring person-specific behavioural and imaging markers, this study may inform precision rehabilitation strategies, and guide clinical decision making for more tailored interventions.

TRIAL REGISTRATION

Clinical Trial registration (ClinicalTrials.gov Identifier: NCT05753761, March 3, 2023).

Activity monitoring of stroke patients by physiotherapist and caregivers in a hospital setting: A pilot study

Background

Activity monitoring is a necessary technique to ensure stroke survivors' activity levels in the hospital are within optimal levels as this is important for enhanced motor recovery. However, this could be time-consuming for healthcare professionals like physiotherapists. Activity monitoring by caregivers could be an alternate option. Therefore, our aim was to compare the activity monitoring of stroke survivors by caregivers and physiotherapists during early phase in a hospital setting.

Methods

An observation study was carried out in the neuroscience ward in a tertiary care hospital among 17 stroke survivors. Physiotherapist and caregivers were instructed to use an activity log chart that was developed during previous research conducted by the same authors for observing the activities performed by the patients every 15 minutes from 8 AM to 5 PM across one day. Data collected were analysed using Stata 15. Kappa statistics were carried out to determine the agreement of the observations between the two raters.

Results

A total of 10 male and seven female caregivers of stroke survivors with a mean age of 40.11 ± 9.2 years and a trained physiotherapist participated in the study. A total of 272 observations of caregivers were in agreement with that of the physiotherapist. Inter-rater Kappa statistics showed 60% agreement between the physiotherapist and the caregivers (p<0.05).

Conclusions

There was moderate agreement between the physiotherapist and caregiver for activity monitoring of stroke survivors. This suggests behavioural mapping by caregivers may be a potential alternative solution in healthcare settings.

Predicting the relationship between anxiety and health-related quality of life in post-stroke patients: The role of sleep duration

OBJECTIVES

Sleep and psychological disorders are common complaints in stroke survivors. The effectiveness of sleep duration in post-stroke on mental well-being and health outcomes has been reported recently. This study aimed to investigate the mediating effect of sleep duration on the relationship between anxiety and health-related quality of life in Chinese post-stroke; MATERIALS AND METHODS: We conducted a quantitative, cross-sectional study with participants recruited through a multistage, stratified, probability proportional to size sampling method. Anxiety, health-related quality of life, and sleep duration were measured by Zung Self-rating Anxiety Scale, World Health Organization Quality of Life Questionnaire, and a self-administered, structured questionnaire. A multiple linear regression analysis was conducted to identify the association between anxiety, sleep duration, and quality of life. The direct and indirect effects of sleep duration on health-related quality of life was assessed using the bootstrap method via Model 4 (parallel mediation) of SPSS PROCESS macro; RESULTS: A total of 856 post-stroke patients participated in the study, and incidence of anxiety symptom amongst post-stroke was 33.53%. Sleep duration mainly plays partial mediating roles in the relationship between mild-to-moderate anxiety and quality of life in physical, psychological, and environment domains, with sleep duration of 7-8h playing a major role; CONCLUSIONS: A significant relationship among anxiety, sleep duration, and quality of life in post-stroke was found in this study. The sleep duration partially mediated the association between anxiety and quality of life. Suitable prevention methods and early interventions for sleep duration may improve the quality of life for post-stroke anxiety.

Enhancing Cardiovascular Health and Functional Recovery in Stroke Survivors: A Randomized Controlled Trial of Stroke-Specific and Cardiac Rehabilitation Protocols for Optimized Rehabilitation

BACKGROUND

Stroke is a major contributor to disability and mortality globally. It leads to physical impairments, including weakness and cardiovascular deconditioning, posing significant challenges to stroke survivors' quality of life. Exercise-based cardiac rehabilitation has shown promise as a rehabilitation strategy. This study aims to assess and compare the impacts of stroke-specific rehabilitation and individualized cardiac rehabilitation exercises on various health parameters in stroke patients.

METHODS

A randomized controlled trial was conducted, involving 38 stroke patients aged 40-75 years. Group A received stroke-specific rehabilitation, which consisted of a combination of range of motion exercises, strength training for the paralyzed side, balance and coordination training, gait training, functional mobility exercises, neuromuscular reeducation, and breathing exercises. This program was conducted five days per week for 12 weeks. Group B received individually designed cardiac rehabilitation exercises, in addition to stroke-specific rehabilitation. They engaged in this exercise for at least 30-45 min per day, four days per week, and incorporated two days of resistive training over a 12-week period. Baseline and post-intervention assessments included measures of cardiac autonomic function, balance (Berg Balance Scale), mobility (Timed Up and Go Test), cardiovascular fitness indicators, respiratory parameters, exercise efficiency, and perceived exertion.

RESULTS

Group B receiving individualized cardio rehab showed significant improvements in balance and mobility compared to Group A receiving conventional stroke-specific rehab. Moreover, Group B exhibited enhanced cardiovascular fitness, respiratory performance, exercise efficiency, and autonomic function post-intervention. Notably, Group A displayed no significant improvements in these parameters.

CONCLUSIONS

Individualized cardiac rehabilitation exercises demonstrated favorable outcomes in improving certain health parameters, highlighting the potential benefits of individualized rehabilitation strategies for stroke patients.

Exercise Intention and its Associated Factors Among Persons Post-Stroke: A Cross-Sectional Study

Purpose

To investigate the level of exercise intention and its associated factors among persons post-stroke using the Theory of Planned Behavior.

Patients and Methods

In this cross-sectional study, a total of 333 participants admitted to the neurology units of a tertiary care hospital in China with a confirmed diagnosis of stroke were recruited. A self-administered instrument based on the Theory of Planned Behavior was used to determine the exercise intention and its associated factors among persons post-stroke.

Results

The results revealed that only 128 participants had exercise intention after discharge with a prevalence of 38.4%. Multivariable linear regression analysis revealed that monthly income, living situation, subjective norms, attitude, and perceived behavioral control were significant predictors of exercise intention of persons post-stroke. Perceived behavioral control and living situation were the most relevant factors of exercise intention.

Conclusion

The level of exercise intention among persons post-stroke was found to be low. Perceived behavioral control and living situation were particularly important and contributed to exercise intention. Healthcare professionals' adequate guidance on exercise should be provided, with a focus on educating both patients and their family members, especially spouses, to promote exercise intention in persons post-stroke.

Non-therapeutic strategies to promote physical activity of stroke survivors in hospital settings: A systematic review

OBJECTIVE

To systematically summarize the evidence of strategies other than therapy to promote physical activity in hospital settings.

METHODS

Studies testing the various strategies to promote the physical activity of stroke survivors in different hospital settings, including stroke units, hospitals and rehabilitation centres were included. Two independent reviewers screened, extracted data, and assessed the study quality. Quality assessments were performed using standardized checklists. Data synthesis was done from the selected articles and results were reported.

RESULTS

Of the 3396 records retrieved from database searches, 12 studies (n = 529 participants) were included. All the studies were of moderate to good quality. The strategies were grouped into five categories: i) physical environment, ii) device-based feedback, iii) self-management approaches, iv) family presence, and v) education. Physical environmental and device-based feedback were the most common strategies to promote physical activity after a stroke in a hospital setting. Strategies such as family presence and education improved physical activity levels, whereas device-based feedback showed mixed results.

CONCLUSION

Despite the importance of physical activity in early stroke, there is limited literature present to enhance activity levels. Physical environment and device-based feedback were the two most common strategies used in acute stroke survivors. The impact of these strategies remain suboptimal to be considered as effective intervention methods to enhance physical activity.

Inpatient rehabilitation patients are more active during rehabilitation times and days than non-rehabilitation times and days: An observational study

Introduction

The effectiveness of inpatient rehabilitation services has been well supported. However, patients receiving inpatient rehabilitation may be physically inactive outside of therapy. The primary objectives were to determine differences in activity levels between rehabilitation time and non-rehabilitation time and rehabilitation day and non-rehabilitation day during inpatient rehabilitation stay. The secondary objective was to determine differences among rehabilitation services.

Methods

In all, 50 participants wore an ActiGraph GT9X Link on their non-dominant wrist during their inpatient rehabilitation stay.

Results

We found significant differences in total activity counts between rehabilitation time and non-rehabilitation time (z = 6.15, p < 0.001) and between rehabilitation day and non-rehabilitation day (z = 5.82, p < 0.001). We found significant differences in total activity counts between occupational therapy and physical therapy (z = 5.71, p < 0.001), occupational therapy and speech-language pathology (z = 3.41, p < 0.001), and physical therapy and speech-language pathology (z = 3.07, p = 0.002). The degrees of all differences were large.

Conclusion

To increase the activity levels during non-rehabilitation times and days, patients receiving inpatient rehabilitation may benefit from strategies which increase activity levels such as an individualized program that can be safely and independently performed outside of rehabilitation sessions.

Identifying Unique Subgroups of Individuals With Stroke Using Heart Rate and Steps to Characterize Physical Activity

Background Low physical activity (PA) is associated with poor health outcomes after stroke. Step counts are a common metric of PA; however, other physiologic signals (eg, heart rate) may help to identify subgroups of individuals poststroke at varying levels of risk of poor health outcomes. Here, we aimed to identify clinically relevant subgroups of individuals poststroke based on PA profiles that leverage multiple data sources, including step count and heart rate data, from wearable devices. Methods and Results Seventy individuals poststroke participated. Participants wore a Fitbit Inspire 2 for 1 year and completed clinical assessments. We defined a group-based steps-per-minute threshold and an individual heart rate threshold to categorize each minute of PA into 1 of 4 states: high steps/high heart rate, low steps/low heart rate, high steps/low heart rate, and low steps/high heart rate. We used the proportion of time spent in each state along with steps per day, sedentary time, mean steps among minutes with high steps and high heart rate, and resting heart rate in a k-means clustering algorithm to identify subgroups and compared Activity Measure for Post-Acute Care Mobility T Score, Stroke Impact Scale, and gait speed among subgroups. We identified 3 subgroups, Active (n=8), Sedentary (n=29), and Deconditioned (n=33), which differed significantly on all clustering variables except resting heart rate. We observed significant differences in Activity Measure for Post-Acute Care Mobility T scores between subgroups, with the Deconditioned subgroup exhibiting the lowest score. Conclusions Quantifying PA with heart rate and step count using readily available wearable devices can identify clinically meaningful subgroups of individuals poststroke.

Does Accelerometry at the Centre of Mass Accurately Predict the Gait Energy Expenditure in Patients with Hemiparesis?

BACKGROUND

The aim of this study was to compare energy expenditure (EE) predicted by accelerometery (EEAcc) with indirect calorimetry (EEMETA) in individuals with hemiparesis.

METHODS

Twenty-four participants (12 with stroke and 12 healthy controls) performed a six-minute walk test (6MWT) during which EEMETA was measured using a portable indirect calorimetry system and EEACC was calculated using Bouten's equation (1993) with data from a three-axis accelerometer positioned between L3 and L4.

RESULTS

The median EEMETA was 9.85 [8.18;11.89] W·kg-1 in the stroke group and 5.0 [4.56;5.46] W·kg-1 in the control group. The median EEACC was 8.57 [7.86;11.24] W·kg-1 in the control group and 8.2 [7.05;9.56] W·kg-1 in the stroke group. The EEACC and EEMETA were not significantly correlated in either the control (p = 0.8) or the stroke groups (p = 0.06). The Bland-Altman method showed a mean difference of 1.77 ± 3.65 W·kg-1 between the EEACC and EEMETA in the stroke group and -2.08 ± 1.59 W·kg-1 in the controls.

CONCLUSIONS

The accuracy of the predicted EE, based on the accelerometer and the equations proposed by Bouten et al., was low in individuals with hemiparesis and impaired gait. This combination (sensor and Bouten's equation) is not yet suitable for use as a stand-alone measure in clinical practice for the evaluation of hemiparetic patients.

A scoping review on recent trends in wearable sensors to analyze gait in people with stroke: From sensor placement to validation against gold-standard equipment

The purpose of the review is to evaluate wearable sensor placement, their impact and validation of wearable sensors on analyzing gait, primarily the postural instability in people with stroke. Databases, namely PubMed, Cochrane, SpringerLink, and IEEE Xplore were searched to identify related articles published since January 2005. The authors have selected the articles by considering patient characteristics, intervention details, and outcome measurements by following the priorly set inclusion and exclusion criteria. From a total of 1077 articles, 142 were included in this study and classified into functional fields, namely postural stability (PS) assessments, physical activity monitoring (PA), gait pattern classification (GPC), and foot drop correction (FDC). The review covers the types of wearable sensors, their placement, and their performance in terms of reliability and validity. When employing a single wearable sensor, the pelvis and foot were the most used locations for detecting gait asymmetry and kinetic parameters, respectively. Multiple Inertial Measurement Units placed at different body parts were effectively used to estimate postural stability and gait pattern. This review article has compared results of placement of sensors at different locations helping researchers and clinicians to identify the best possible placement for sensors to measure specific kinematic and kinetic parameters in persons with stroke.

Multidimensional analysis of sedentary behaviour and participation in Spanish stroke survivors (Part&Sed-Stroke): a protocol for a longitudinal multicentre study

INTRODUCTION

Stroke survivors usually experience long-lasting functional, emotional and social consequences that might contribute to sedentary behaviour and participation restrictions, which are important targets to address during rehabilitation. However, the trajectory and inter-relationship between these factors are unknown.

METHODS AND ANALYSIS

Part&Sed is a research project based on an observational study design with 6 and 12 months of follow-ups in stroke survivors. In addition, a qualitative analysis of the impact of the stroke on the stroke survivor, validation of the Satisfaction with Daily Occupation-Occupational Balance assessment tool and analysis of the reliability of the Fitbit Inspire 2 activity tracker wristband will be carried out. Participants will be chronic stroke survivors with independent walking capacity. Sociodemographic and clinical data, physical activity, ambulation, sleep, quality of life, anxiety and depression, community participation, and occupational satisfaction and balance, as well as data provided by the activity tracker wristband, will be collected. In addition, if the participant has a primary caregiver, the caregiver will also be monitored. A minimum of 130 participants will be recruited to conduct a random-effects multiple regression model. Mixed models for repeated measures will assess the variation over time of the different variables associated with participation and sedentary behaviour. Psychometric properties (eg, internal consistency, construct validity, test-retest reliability) of the Satisfaction with Daily Occupation-Occupational Balance will be determined. Additionally, intraclass correlation coefficients and minimum detectable change will be calculated to assess intrasubject reliability of physical activity and sleep parameters recorded by the Fitbit Inspire 2. The qualitative analysis process will be carried out using the analysis proposed by Giorgi.

ETHICS AND DISSEMINATION

The study received ethical approval from the Spanish Regional Ethics Committee 'Comité de Ética de la Investigación de la Comunidad de Aragón' (PI21/333). The results will be made available via peer-reviewed publications, international conferences and official channels.

New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables

Actigraphy may provide new insights into clinical outcomes and symptom management of patients through passive, continuous data collection. We used the GENEActiv smartwatch to passively collect actigraphy, wrist temperature, and ambient light data from 27 participants after stroke or probable brain transient ischemic attack (TIA) over 42 periods of device wear. We computed 323 features using established algorithms and proposed 25 novel features to characterize sleep and temperature. We investigated statistical associations between the extracted features and clinical outcomes evaluated using clinically validated questionnaires to gain insight into post-stroke recovery. We subsequently fitted logistic regression models to replicate clinical diagnosis (stroke or TIA) and disability due to stroke. The model generalization performance was assessed using a leave-one-subject-out cross validation method with the selected feature subsets, reporting the area under the curve (AUC). We found that several novel features were strongly correlated (|r|>0.3) with stroke symptoms and mental health measures. Using selected novel features, we obtained an AUC of 0.766 to estimate diagnosis and an AUC of 0.749 to estimate whether disability due to stroke was present. Collectively, these findings suggest that features extracted from the temperature smartwatch sensor may reveal additional clinically useful information over and above existing actigraphy-based features.

The relationship between sleep and physical activity in an in-patient rehabilitation stroke setting: a cross-sectional study

BACKGROUND

Appropriate sleep and physical activity are known to be important for positive neuroplastic changes in the brain and therefore may affect stroke recovery.

OBJECTIVE

To investigate the relationship between sleep and participation in different intensity levels of physical activity; to investigate the convergent validity of a commercially available device (Fitbit Flex) in measuring sleep and physical activity in people with stroke.

METHODS

A cross-sectional observational study in people with stroke undergoing rehabilitation. Participants wore two accelerometers on their unaffected wrist for seven consecutive days and recorded a sleep log, the Pittsburgh Sleep Quality Index and Fatigue Assessment Scale. Any relationships between sleep and activity were assessed with linear regression. Pearson and intra-class correlation coefficients were used to assess the validity of the two accelerometers (Fitbit Flex against the validated GENEActiv).

RESULTS

Twenty-three patients with stroke were recruited. Twenty complete data sets were analyzed. Participants had approximately 9 hours of sleep and 13 hours of sedentary behavior per day, with 99 minutes spent on physical activity (16 min spent on moderate to vigorous activity). Time spent on sleep was significantly related to sedentary, light and moderate physical activity time (r = -.67, .22, .20). The ICC of the Fitbit Flex in measuring light physical activity was .884 p < .001 but was not correlated for other measures.

CONCLUSIONS

More sleep was related to less sedentary behavior and more time spent on physical activity. Fitbit Flex was only valid for measuring light physical activity.

Bibliometric analysis of stroke and quality of life

Objective

To perform a bibliometric analysis of stroke and quality of life studies between 2000 and 2022 using VOSviewer and CiteSpace.

Methods

The literature data source for this study was the Web of Science Core Collection. CiteSpace and VOSviewer were used to analyze publications in relation to authors, countries, institutions, journals, references, and keywords.

Results

A total of 704 publications were obtained for the bibliometric analysis. The number of publications has gradually increased over 23 years, with an annual increase of 728.6%. Kim S is the most prolific author in the field (10 publications), and the United States and Chinese University of Hong Kong have the most publications. Stroke is the most prolific journal with the most citations per paper (91.58) and the highest impact factor (IF 2021, 10.17). The most high-frequency keywords are "stroke," "quality of life," "rehabilitation," and "depression."

Conclusion

A bibliometric analysis of stroke and quality of life over the last 23  years provides future research directions.

The influence of a virtual reality entertainment program on depressive symptoms and sedentary behaviour in inpatient stroke survivors: a research protocol for a pilot randomized controlled trial

Background

Sedentary behaviour among stroke inpatients may be due to high rates of depressive symptoms after stroke. Thus, efforts to address depressive symptoms among stroke inpatients are warranted to in turn lessen sedentary behaviour. Despite evidence that virtual reality (VR) is emerging as a method to help with depression, the use of VR to improve depression among inpatient stroke survivors has yet to be studied. In this paper, we report on the protocol investigating the feasibility of a VR entertainment system at improving depressive symptoms among stroke survivors receiving inpatient rehabilitation.

Methods

In this single-blind randomized controlled trial, 30 inpatient stroke survivors from the rehabilitation unit at Kelowna General Hospital will be randomized to either (1) intervention: 3 times per week of VR entertainment for duration of inpatient rehabilitation or (2) control: usual care. Individuals will be included if they have a confirmed diagnosis of stroke, are 19 years of age or older, able to provide informed consent, have physician clearance to participate in the study (medically stable or fit), or are able to understand English. Outcome measures to address depressive symptoms (primary outcome), sedentary behaviour, motivation, anxiety, stress, and happiness (secondary outcome) will be administered at two timepoints: (1) baseline (T1) and (2) post-intervention (T2). Study analyses will consider study feasibility indicators and clinical (statistical) outcomes. Means and standard deviations (for continuous variables) and frequencies and proportions (for categorical variables) will be used to summarize the variables. Feasibility indicators will be dichotomized into either ‘success’ if they meet the a priori criteria, or ‘revise’ if they do not meet the criteria. Intervention effects post-intervention (T2) for the primary and secondary clinical outcomes will be estimated using linear regression including baseline (T1) controlling for age and sex.

Discussion

The results of this trial will add to our understanding of depression and sedentary behaviour among individuals receiving inpatient stroke rehabilitation as well as the feasibility of a VR entertainment program to improve depressive symptoms, which will in turn may lessen sedentary behaviour in inpatient stroke survivors.

Trial registration

ClinicalTrials.gov Identifier: NCT04011202 . First posted July 8, 2019 (study postponed from March 2020 to July 2021 due to COVID-19).

Supplementary Information

The online version contains supplementary material available at 10.1186/s40814-022-01189-8.

The Effect of Physical Activity on Sleep Quality among Older Stroke Survivors: Secondary Analysis from a Randomized Controlled Trial

Poor sleep quality constitutes one of the most common difficulties faced by stroke survivors. Physical activity has been shown to improve sleep quality among healthy adults. The study objective was to examine the effect of physical activity on sleep outcomes in community-dwelling stroke survivors previously enrolled in a randomized clinical trial (RCT). Secondary analysis of data collected in the RCT was used to examine the effects of physical activity (PA) on sleep outcomes using the Pittsburgh Sleep Quality Index (PSQI), compared to usual care (controls). Unadjusted and adjusted mixed effects models were used to model changes in sleep quality between groups. At baseline, poor sleep quality (PSQI > 5) was reported by about half of the participants (PA group = 48.5%, n = 47/97; controls = 56.3%, n = 27/48). Results from the unadjusted and adjusted models for sleep quality were similar and showed no statistically significant differences between groups (p > 0.05). In the unadjusted model, the difference between groups (change from baseline to 24 weeks) showed that the PA group had better sleep quality than the controls (difference= -1.02 points, 95% CI -2.12, 0.07, p = 0.07). In the model adjusted for age, social support, and marital status, the difference between groups (change from baseline to 24 weeks) showed that the PA group had better sleep quality than the controls (difference= -1.07 points, 95% CI -2.19, 0.05, p = 0.06). PA did not significantly improve sleep quality in older community-dwelling stroke survivors. Further research is needed to confirm or refute these findings.

Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk

Background

Significant variability exists in how real-world walking has been measured in prior studies in individuals with stroke and it is unknown which measures are most important for cardiovascular risk. It is also unknown whether real-world monitoring is more informative than laboratory-based measures of walking capacity in the context of cardiovascular risk. The purpose of this study was to determine a subset of real-world walking activity measures most strongly associated with systolic blood pressure (SBP), a measure of cardiovascular risk, in people with stroke and if these measures are associated with SBP after accounting for laboratory-based measures of walking capacity.

Methods

This was a cross-sectional analysis of 276 individuals with chronic (≥ 6 months) stroke. Participants wore an activity monitor for ≥ 3 days. Measures of activity volume, activity frequency, activity intensity, and sedentary behavior were calculated. Best subset selection and lasso regression were used to determine which activity measures were most strongly associated with systolic blood pressure. Sequential linear regression was used to determine if these activity measures were associated with systolic blood pressure after accounting for walking capacity (6-Minute Walk Test).

Results

Average bout cadence (i.e., the average steps/minute across all bouts of walking) and the number of long (≥ 30 min) sedentary bouts were most strongly associated with systolic blood pressure. After accounting for covariates (ΔR² = 0.089, p < 0.001) and walking capacity (ΔR² = 0.002, p = 0.48), these activity measures were significantly associated with systolic blood pressure (ΔR² = 0.027, p = 0.02). Higher systolic blood pressure was associated with older age (β = 0.219, p < 0.001), male gender (β = − 0.121, p = 0.046), black race (β = 0.165, p = 0.008), and a slower average bout cadence (β = − 0.159, p = 0.022).

Conclusions

Measures of activity intensity and sedentary behavior may be superior to commonly used measures, such as steps/day, when the outcome of interest is cardiovascular risk. The relationship between walking activity and cardiovascular risk cannot be inferred through laboratory-based assessments of walking capacity.

Total Sedentary Time and Cognitive Function in Middle-Aged and Older Adults: A Systematic Review and Meta-analysis

Background

An estimated 47 million people have dementia globally, and around 10 million new cases are diagnosed each year. Many lifestyle factors have been linked to cognitive impairment; one emerging modifiable lifestyle factor is sedentary time.

Objective

To conduct a systematic review and meta-analysis of peer-reviewed literature examining the association between total sedentary time with cognitive function in middle-aged and older adults under the moderating conditions of (a) type of sedentary time measurement; (b) the cognitive domain being assessed; (c) looking at sedentary time using categorical variables (i.e., high versus low sedentary time); and (d) the pattern of sedentary time accumulation (e.g., longer versus shorter bouts). We also aimed to examine the prevalence of sedentary time in healthy versus cognitively impaired populations and to explore how experimental studies reducing or breaking up sedentary time affect cognitive function. Lastly, we aimed to conduct a quantitative pooled analysis of all individual studies through meta-analysis procedures to derive conclusions about these relationships.

Methods

Eight electronic databases (EMBASE; Web of Science; PsycINFO; CINAHL; SciELO; SPORTDiscus; PubMed; and Scopus) were searched from inception to February 2021. Our search included terms related to the exposure (i.e., sedentary time), the population (i.e., middle-aged and older adults), and the outcome of interest (i.e., cognitive function). PICOS framework used middle-aged and older adults where there was an intervention or exposure of any sedentary time compared to any or no comparison, where cognitive function and/or cognitive impairment was measured, and all types of quantitative, empirical, observational data published in any year were included that were published in English. Risk of bias was assessed using QualSyst.

Results

Fifty-three studies including 83,137 participants met the inclusion criteria of which 23 studies had appropriate data for inclusion in the main meta-analysis. The overall meta-analysis suggested that total sedentary time has no association with cognitive function (r = −0.012 [95% CI − 0.035, 0.011], p = 0.296) with marked heterogeneity (I² = 89%). Subgroup analyses demonstrated a significant negative association for studies using a device to capture sedentary time r = −0.035 [95% CI − 0.063, − 0.008], p = 0.012). Specifically, the domains of global cognitive function (r = −0.061 [95% CI − 0.100, − 0.022], p = 0.002) and processing speed (r = −0.067, [95% CI − 0.103, − 0.030], p < 0.001). A significant positive association was found for studies using self-report (r = 0.037 [95% CI − 0.019, 0.054], p < 0.001). Specifically, the domain of processing speed showed a significant positive association (r = 0.057 [95% CI 0.045, 0.069], p < 0.001). For prevalence, populations diagnosed with cognitive impairment spent significantly more time sedentary compared to populations with no known cognitive impairments (standard difference in mean = −0.219 [95% CI − 0.310, − 0.128], p < 0.001).

Conclusions

The association of total sedentary time with cognitive function is weak and varies based on measurement of sedentary time and domain being assessed. Future research is needed to better categorize domains of sedentary behaviour with both a validated self-report and device-based measure in order to improve the strength of this relationship. PROSPERO registration number: CRD42018082384.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40798-022-00507-x.

Accuracy of gait and posture classification using movement sensors in individuals with mobility impairment after stroke

Background: Stroke leads to motor impairment which reduces physical activity, negatively affects social participation, and increases the risk of secondary cardiovascular events. Continuous monitoring of physical activity with motion sensors is promising to allow the prescription of tailored treatments in a timely manner. Accurate classification of gait activities and body posture is necessary to extract actionable information for outcome measures from unstructured motion data. We here develop and validate a solution for various sensor configurations specifically for a stroke population.

Methods: Video and movement sensor data (locations: wrists, ankles, and chest) were collected from fourteen stroke survivors with motor impairment who performed real-life activities in their home environment. Video data were labeled for five classes of gait and body postures and three classes of transitions that served as ground truth. We trained support vector machine (SVM), logistic regression (LR), and k-nearest neighbor (kNN) models to identify gait bouts only or gait and posture. Model performance was assessed by the nested leave-one-subject-out protocol and compared across five different sensor placement configurations.

Results: Our method achieved very good performance when predicting real-life gait versus non-gait (Gait classification) with an accuracy between 85% and 93% across sensor configurations, using SVM and LR modeling. On the much more challenging task of discriminating between the body postures lying, sitting, and standing as well as walking, and stair ascent/descent (Gait and postures classification), our method achieves accuracies between 80% and 86% with at least one ankle and wrist sensor attached unilaterally. The Gait and postures classification performance between SVM and LR was equivalent but superior to kNN.

Conclusion: This work presents a comparison of performance when classifying Gait and body postures in post-stroke individuals with different sensor configurations, which provide options for subsequent outcome evaluation. We achieved accurate classification of gait and postures performed in a real-life setting by individuals with a wide range of motor impairments due to stroke. This validated classifier will hopefully prove a useful resource to researchers and clinicians in the increasingly important field of digital health in the form of remote movement monitoring using motion sensors.

Circadian parameter as a possible indicator of gait performance and daily activity levels in chronic stroke survivors

Stroke recovery is a critical public health problem. It involves cognitive and physical impairments leading to physical inactivity. In addition, there are also sleep problems and disruption of the circadian rhythm. In this paper, we analyze the relation between cognitive impairments level, walking performance, sleep and circadian parameters of a group of chronic stroke survivors. Five stroke survivors enrolled in the study. The clinical assessments were: cognitive function (MoCA), the 10 meter-walking test (10MWT), and the 6 minutes walking test (6MWT). The circadian rhythm parameters were obtained for at least one week wearing the actimeters. There was a positive correlation between the duration of the main sleep episode and the MoCA scores. There were significant correlations between the 10MWT and 6MWT and the circadian parameters that were positive for most active period (M10), Interdaily stability (IS), Mesor and Amplitude and negative for intradaily variability (IV). Our results indicate that gait speed and resistance are correlated to circadian rhythm synchronization, lower rhythm variability and more defined activity-rest episodes. This preliminary study underscores the importance of including a continuous measure of sleep and activity cycles in the assessment of stroke survivors.

Can exercise training promote better sleep and reduced fatigue in people with chronic stroke? A systematic review

Poor sleep and chronic fatigue are common in people with chronic stroke (i.e. ≥ 6 months post-stroke). Exercise training is a viable, low-cost therapy for promoting sleep and reducing fatigue; however, the effects of exercise on sleep and fatigue in people with chronic stroke are unclear. Thus, we conducted a systematic review ascertaining the effects of exercise on sleep and fatigue in people with chronic stroke. We systematically searched EMBASE, MEDLINE, AgeLine, the Cochrane Database of Systematic Reviews, CINAHL, SPORTDiscus, SCOPUS, and reference lists of relevant reviews for articles that examined the effects of exercise on sleep or fatigue in chronic stroke. Search results were limited to adults ≥ 18 years, randomized controlled trials, non-randomized trials, and pre-post studies, which were published in English and examined the effects of exercise on sleep or fatigue in people with chronic stroke. We extracted study characteristics and information on the measurement of sleep and fatigue, and assessed study quality and risk of bias using the CONSORT criteria and Cochrane risk-of-bias tool, respectively. We found two studies that examined the effects of exercise on sleep, and two that examined the effects of exercise on fatigue. All studies reported positive effects of exercise training on sleep and fatigue; however, there were concerns of bias and study quality in all studies. There is preliminary evidence that exercise promotes sleep and reduces fatigue in people with chronic stroke; however, the extent to which exercise impacts these health parameters is unclear.

Health-Related Quality of Life and Its Related Factors in Survivors of Stroke in Rural China: A Large-Scale Cross-Sectional Study

Background

Stroke is a major health threat and the leading cause of mortality and disability in China. The aims of this study were to identify the possible influencing factors of health-related quality of life (HRQoL) and its domain-specific contents in stroke patients in rural areas in China.

Methods

A total of 1,709 stroke patients aged 36–79 years from the baseline data of Henan Rural Cohort study (n = 39,259) were included in the cross-sectional study. The Chinese version of the European Quality of Life Five Dimension (including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) Five Level Scale (EQ-5D-5L) and visual analog scale (VAS) were used to evaluate HRQoL in stroke patients. Tobit regression models, generalized linear models and binary logistic regression models were constructed to determine potential influencing factors of the EQ-5D utility index, as well as influencing factors of each domain and VAS score.

Results

The mean utility index and VAS scores of stroke patients were 0.885 (SD, 0.204), and 68.39 (SD, 17.31), respectively. Pain/discomfort (PD, 35.2%) and mobility (MO, 30.4%) were the most frequently reported issues. Regression models revealed that illiterate; a low monthly income; low physical activity intensity; and diabetes, anxiety, depression, or poor sleep quality were significantly associated with lower utility index and VAS scores among stroke patients. In addition, patients with stroke who were older, female, drinking, smoking, and consuming a high-fat diet, had a higher BMI, and lived with a stroke for a longer time, were also significantly associated with different dimensions of the EQ-5D.

Conclusion

Patients with stroke in rural areas in China had a low HRQoL. Factors associated with the EQ-5D utility index as well as each domain and VAS score, need to be considered by health providers in rural areas. Patients with stroke in rural areas need to be included in national basic public medical services and managed systematically by medical institutions.

Adaptação transcultural do Subjective Index of Physical and Social Outcome (SIPSO) para aplicação no Brasil

Objetivo: A restrição na participação é uma consequência significativa para indivíduos pós-Acidente Vascular Cerebral (AVC). No Brasil, não há instrumentos disponíveis que contemplem de forma abrangente a participação nesta população. Portanto, o objetivo deste estudo foi adaptar transculturalmente o Subjective Index of Physical and Social Outcome(SIPSO) para uso no Brasil. O SIPSO é um questionário com 10 itens, abrangendo questões de participação consideradas significativas para indivíduos pós-AVC. Métodos: O processo de adaptação transcultural envolveu as seguintes etapas: tradução, retrotradução, síntese das traduções, análise por um comitê de especialistas e teste da versão pré-final. Resultados: Observou-se equivalência semântica adequada entre as versões original e retrotraduzida. Durante a reunião de especialistas, foi realizada adequação dos itens às regras gramaticais da língua portuguesa. No teste da versão pré-final, em um item do instrumento foi reportada dificuldade de compreensão, sendo acrescentado um exemplo para ampliar a possibilidade de compreensão do item. Conclusão: O SIPSO-Brasil apresentou satisfatório grau de equivalência semântica, idiomática, cultural, conceitual e operacional. Contudo, estudos posteriores devem ser realizados para a continuidade da investigação da validade da versão adaptada do instrumento.

Cognitive Function is a Predictor of the Daily Step Count in Patients With Subacute Stroke With Independent Walking Ability: A Prospective Cohort Study

•

Cognition at admission may predict daily step count.

•

Cognitive impairment may increase risk of poor ambulation after subacute stroke.

•

Ambulation poststroke is influenced by both physical and cognitive factors.

Objectives

To investigate the physical, cognitive, and psychological factors related to daily step count in patients with subacute stroke.

Design

Prospective cohort study.

Setting

A subacute rehabilitation ward with 160 beds.

Participants

Patients with subacute stroke who could walk independently (N=101). Among the 101 participants enrolled in this study (mean age, 64.5±13.5y), 64.4% (n=65) were men and 69.3% (n=70) were patients with cerebral infarction.

Interventions

We assessed ambulatory activity using a pedometer placed in the pants pocket on the nonparalyzed side continuously for 7 consecutive days. We also obtained demographic and clinical information and recorded the following measurement scores: Stroke Impairment Assessment Set, FIM, Mini-Mental State Examination (MMSE), Self-Rating Depression Scale, and Apathy Scale. All measurements were collected at admission and discharge.

Main Outcome Measures

The outcomes assessed were ambulatory activity, motor and sensory functions, functional disability, cognitive function, depressive symptoms, and motivation.

Results

The median daily steps ambulated at admission and discharge were 5584 steps (interquartile range, 3763-7096 steps) and 5991 steps (interquartile range, 4329-8204 steps), respectively. In the univariate regression analysis, age, sex, serum albumin level, affected side of the brain, and MMSE score at admission were significantly associated with the daily step count at discharge. Multiple regression analysis using these 5 items as independent variables revealed that the MMSE score at admission (reference, 28-30 points; B, −2.07; 95% confidence interval, −3.89 to −0.35; β, −0.22; P=.027) was significantly associated with the daily step count at discharge.

Conclusions

Cognitive function at admission had a significant association with the daily step count at discharge in patients with subacute stroke who could walk independently.

Association Between Physical Activity and Mortality Among Community-Dwelling Stroke Survivors

BACKGROUND AND OBJECTIVE

To determine the relationship between physical activity (PA) and mortality in community-dwelling stroke survivors.

METHODS

The Canadian Community Health Survey was used to obtain self-reported PA across 4 survey years and was linked to administrative databases to obtain prior diagnosis of stroke and subsequent all-cause mortality. PA was measured as metabolic equivalents (METs) per week and meeting minimal PA guidelines was defined as 10 MET-h/wk. Cox proportional hazard regression models and restricted cubic splines were used to determine the relationship between PA and all-cause mortality in respondents with prior stroke and controls, adjusting for sociodemographic factors, comorbidities, and functional health status.

RESULTS

The cohort included 895 respondents with prior stroke and 97,805 controls. Adhering to PA guidelines was associated with lower hazard of death for those with prior stroke (adjusted hazard ratio [aHR] 0.46, 95% confidence interval [CI] 0.29-0.73) and controls (aHR 0.69, 95% CI 0.62-0.76). There was a strong dose-response relationship in both groups, with a steep early slope and the vast majority of associated risk reduction occurring between 0 and 20 MET-h/wk. In the group of stroke respondents, PA was associated with greater risk reduction in those <75 years of age (aHR 0.21, 95% CI 0.10-0.43) compared to those ≥75 years of age (aHR 0.68, 95% CI 0.42-1.12).

DISCUSSION

PA was associated with lower all-cause mortality in an apparent dose-dependent manner among those with prior stroke, particularly in younger stroke survivors. Our findings support efforts towards reducing barriers to PA and implementation of PA programs for stroke survivors in the community.

CLASSIFICATION OF EVIDENCE

This study provides Class III evidence that in community-dwelling survivors of stroke, adhering to physical activity guidelines was associated with lower hazard of death.

Health Promotion and Wellness in Neurologic Physical Therapy: Strategies to Advance Practice

BACKGROUND AND PURPOSE

Neurologic physical therapy (PT) can assist people with neurologic conditions and injuries to optimize their health and well-being by addressing barriers at the individual, relationship, community, and societal levels. The purpose of this special interest article is to provide consensus-driven strategies to address barriers to implementing health promotion and wellness (HPW)-related neurologic PT practice.

SUMMARY OF KEY POINTS

Environmental scan, literature review, and expert input were used to determine barriers and develop strategies. Barriers include lack of time; low knowledge, self-efficacy, and awareness; client complexity; and lack of HPW resources; as well as concerns regarding payment and scope of practice. Four key strategies emerged: (1) develop and disseminate a consensus-based scope of practice for HPW in neurologic PT; (2) increase knowledge of resources related to HPW; (3) promote delivery models for HPW-related neurologic PT; and (4) encourage advocacy, community building and partnership along the continuum of care.

RECOMMENDATIONS FOR CLINICAL PRACTICE

Clinicians should practice to their full scope of HPW-related PT practice. This includes optimizing movement, including physical activity and fitness, as well as reinforcing the importance of healthy sleep, nutrition, stress, and smoking cessation. These activities address primary, secondary, and tertiary prevention. Clinicians are encouraged to report their experiences with HPW-focused delivery models and outcomes. Additional research is needed to understand the full impact of HPW on PT practice (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A364).

Using Intervention Mapping to develop and implement a home-based sedentary behavior change intervention after stroke

Prolonged sedentary behavior is a problem immediately following a stroke and it persists from the acute to chronic phases of recovery. Frequently interrupting sedentary time might help to mitigate the associated detrimental health consequences. The purpose of this article was to describe the process followed in the systematic development and implementation of a theory- and home-based sedentary behavior change intervention for people with stroke. The Intervention Mapping protocol was used to design, develop and implement a STand Up Frequently From Stroke (STUFFS) program aimed at reducing prolonged sedentary behavior after stroke. A qualitative inquiry with people with stroke (n = 13) informed the development of the intervention. The systematic approach followed in the development process including the theoretical basis, content development, and evaluation planning were described. Program reception was assessed using thematic content analysis of exit-interview data (n = 25). The 8-weeks STUFFS intervention is a home-based sedentary behavior change program that provides education about the risks of prolonged sedentary behavior and facilitates behavior change, including the use of motivational tools to empower people with stroke to reduce sedentary behavior. The program was well-received and acceptable to people with stroke (89% satisfaction). This article provides information that furthers knowledge about theory-based strategies to reduce sedentary behavior in the home environment after stroke and facilitates implementation of this type of intervention. Trial registration: This study is registered at www.clinicaltrials.gov (No. NCT02980744).

Pre-stroke habitual prolonged sleep as a predictor for post-stroke sleep quality, stroke-related quality of life, and lifestyle values

BACKGROUND

Prolonged sleep is a higher stroke risk, but post-stroke prolonged sleep facilitates stroke recovery. No study has explored the relationship between pre- and post-stroke prolonged sleep and their involvement in stroke-related quality of life (QOL).This study aimed to clarify the role of pre- and post-stroke prolonged sleep in QOL and sleep quality during hospitalization.

METHODS

Fifty-one subacute stroke inpatients were enrolled. QOL was assessed by the Stroke and Aphasia QOL Scale-39-J. Sleep quality and lifestyle values were assessed by original questionnaires.

RESULTS

Patients in pre-stroke prolonged sleep > 8 h had a higher incidence of post-stroke poor sleep quality than those belonging to the normal or shorter hours (OR 5.33, 95% CI 1.30-21.84, p = 0.047). In addition, pre-stroke prolonged sleep was associated with lower scores of psychosocial QOL and lifestyle values of "accepting disability; caring about what other people think of what you do". In contrast, post-stroke prolonged sleep was associated with the lower risk of post-stroke poor sleep quality (OR 0.27, 95% CI 0.08-0.86, p = 0.045). Post-stroke high sleep quality had higher (better) scores of physical and energy QOL, and lifestyle values of "caring about what other people think of what you do; having some places to go out after discharge" compared with post-stroke poor sleep quality. Post-stroke prolonged sleep was derived from pre-stroke not prolonged sleep rather than pre-stroke prolonged sleep (p = 0.039, Chi-square test).

CONCLUSIONS

Pre-stroke prolonged sleep is associated with a higher incidence of post-stroke poor sleep quality and lower scores of QOL and lifestyle values after stroke.

Physical Activity and Diet Quality Modify the Association between Comorbidity and Disability among Stroke Patients

Background: Comorbidity is common and causes poor stroke outcomes. We aimed to examine the modifying impacts of physical activity (PA) and diet quality on the association between comorbidity and disability in stroke patients. Methods: A cross-sectional study was conducted on 951 stable stroke patients in Vietnam from December 2019 to December 2020. The survey questionnaires were administered to assess patients’ characteristics, clinical parameters (e.g., Charlson Comorbidity Index items), health-related behaviors (e.g., PA using the International Physical Activity Questionnaire- short version), health literacy, diet quality (using the Dietary Approaches to Stop Hypertension Quality (DASH-Q) questionnaire), and disability (using the World Health Organization Disability Assessment Schedule II (WHODAS II)). Linear regression models were used to analyze the associations and interactions. Results: The proportion of comorbidity was 49.9% (475/951). The scores of DASH-Q and WHODAS II were 29.2 ± 11.8, 32.3 ± 13.5, respectively. Patients with comorbidity had a higher score of disability (regression coefficient, B, 8.24; 95% confidence interval, 95%CI, 6.66, 9.83; p < 0.001) as compared with those without comorbidity. Patients with comorbidity and higher tertiles of PA (B, −4.65 to −5.48; p < 0.05), and a higher DASH-Q score (B, −0.32; p < 0.001) had a lower disability score, as compared with those without comorbidity and the lowest tertile of PA, and the lowest score of DASH-Q, respectively. Conclusions: Physical activity and diet quality significantly modified the negative impact of comorbidity on disability in stroke patients. Strategic approaches are required to promote physical activity and healthy diet which further improve stroke rehabilitation outcomes.

Influence of Type D Personality on Health Promoting Behaviours and Quality of Life in Stroke Patients: A Cross-Sectional Study in South Korea

OBJECTIVES

Type D personality is vulnerable to stress and is associated with high symptom severity, unhealthy behaviors, and low quality of life (QoL) in patients with chronic diseases. This study aimed to identify the influence of type D personality on health promoting behaviors and QoL in patients with ischemic stroke in South Korea.

MATERIALS AND METHODS

A descriptive, cross-sectional design was used. This study collected data from a convenience sample of 170 patients with ischemic stroke. Demographic and clinical characteristics, health promoting behaviors, and QoL were compared between the type D personality group and the non-type D group. Stepwise multiple regression analysis was performed to identify factors influencing patients' QoL.

RESULTS

Of the 170 subjects, 39 (22.9%) were classified as having type D personality. Type D personality was associated with higher National Institutes of Health Stroke Scale scores at admission and discharge, higher modified Rankin Scale (mRS) scores at 3 months after stroke, lower scores for health promoting behaviors, and lower QoL. Regression analysis showed that mRS score 3 months after stroke was the most significant factor influencing QoL, followed by health promoting behaviors, type D personality, speech deficits, and family income.

CONCLUSIONS

Type D personality should be considered together with health promoting behaviors and QoL in patients with ischemic stroke. Interventions considering type D personality may be helpful in improving health promoting behavior and QoL for the stroke patients.

Distance-limited walk tests post-stroke: A systematic review of measurement properties

BACKGROUND

Improving walking capacity is a key objective of post-stroke rehabilitation. Evidence describing the quality and protocols of standardized tools for assessing walking capacity can facilitate their implementation.

OBJECTIVE

To synthesize existing literature describing test protocols and measurement properties of distance-limited walk tests in people post-stroke.

METHODS

Electronic database searches were completed in 2017. Records were screened and appraised for quality.

RESULTS

Data were extracted from 43 eligible articles. Among the 12 walk tests identified, the 10-metre walk test (10mWT) at a comfortable pace was most commonly evaluated. Sixty-three unique protocols at comfortable and fast paces were identified. Walking pace and walkway surface, but not walkway length, influenced walking speed. Intraclass correlation coefficients for test-retest reliability ranged from 0.80-0.99 across walk tests. Measurement error values ranged from 0.04-0.40 and 0.06 to 0.20 for the 10mWT at comfortable and fast and paces, respectively. Across walk tests, performance was most frequently correlated with measures of strength, balance, and physical activity (r = 0.26-0.8, p < 0.05).

CONCLUSIONS

The 10mWT has the most evidence of reliability and validity. Findings indicate that studies that include people with severe walking deficits, in acute and subacute phases of recovery, with improved quality of reporting, are needed.

Is long-bout sedentary behaviour associated with long-term glucose levels 3 months after acute ischaemic stroke? A prospective observational cohort study

BACKGROUND AND PURPOSE

Sedentary behaviour is a risk factor for vascular disease and stroke patients are more sedentary than their age-matched peers. The association with glucose levels, as a potential mediator, is unclear, and we have investigated the association between long-bout sedentary behaviour and long-term glucose levels in stroke survivors.

METHODS

This study uses data from the Norwegian Cognitive Impairment After Stroke study, a multicentre cohort study. The patients were recruited at hospital admission for acute stroke, and the follow-up was done at the outpatient clinic. Sedentary behaviour-being in a sitting or reclining position-was registered 3 months after stroke using position transition data from the body-worn sensor activPAL attached to the unaffected thigh. A MATLAB script was developed to extract activity data from 08:00 to 10:00 for 4 days and to categorise the data into four bout-length categories. The primary outcome was glycated haemoglobin (HbA1c), analysed at 3 months. Regression models were used to analyse the association between HbA1c and sedentary behaviour in the whole population and stratified based on a diagnosis of diabetes mellitus (DM). Age, body mass index and the use of antidiabetic drugs were added as covariates into the models.

RESULTS

From a total of 815 included patients, 379 patients fulfilled the inclusion criteria for this study. We found no association between time in sedentary behaviour and HbA1c in the whole stroke population. We found time in sedentary behaviour in bouts of ≥90 min to be associated with a higher HbA1c in patients with DM.

CONCLUSION

Long-bout sedentary time is associated with a higher HbA1c in patients with DM 3 months after ischaemic stroke. Future research should investigate the benefit of breaking up sedentary time as a secondary preventive measure.

TRIAL REGISTRATION NUMBER

NCT02650531, https://clinicaltrials.gov/ct2/show/NCT02650531.

Sedentary behavior patterns over 6 weeks among ambulatory people with stroke

Objective: To describe patterns of sedentary behavior over 6 weeks among ambulatory people with subacute and chronic stroke.Design: Observational longitudinal study with assessments at baseline (T0) and week 6 (T1).Methods: Community-dwelling people with stroke (n = 39) pooled from two studies who were ≥18 years of age were assessed for sedentary behavior at 2 timepoints (T0, T1). Sedentary behavior was measured with the activPAL micro3 following a 7-day wear protocol to obtain mean daily: total sitting time, sitting time accumulated in bouts ≥30 minutes, number of sit-to-stand transitions, and fragmentation index (sit-to-stand transitions/total sitting hours). Paired samples t-tests were used to calculate mean group differences in sedentary behavior metrics between T0 and T1 (α =.05). Cohen's d was calculated to describe the magnitude of within-person change between T0 and T1.Results: There were no statistically significant within-person differences between T0 and T1 on mean daily sitting time (Cohen's d= -0.21, p=.19), sitting time accumulated in bouts ≥30 minutes (d= -0.27, p=.11), number of sit-to-stand transitions (d= -0.02, p=.53), or the fragmentation index (d= -0.11, p=.92).Conclusions: Sedentary behavior metrics were stable for over 6 weeks. The number of sit-to-stand transitions per day and the fragmentation index appeared to be the most stable indicators over 6 weeks. Future research should confirm these findings and identify correlates of sedentary behavior among people with stroke.

Sleep Disruption After Brain Injury Is Associated With Worse Motor Outcomes and Slower Functional Recovery

Background. Sleep is important for consolidation of motor learning, but brain injury may affect sleep continuity and therefore rehabilitation outcomes. Objective. This study aims to assess the relationship between sleep quality and motor recovery in brain injury patients receiving inpatient rehabilitation. Methods. Fifty-nine patients with brain injury were recruited from 2 specialist inpatient rehabilitation units. Sleep quality was assessed (up to 3 times) objectively using actigraphy (7 nights) and subjectively using the Sleep Condition Indicator. Motor outcome assessments included Action Research Arm test (upper limb function), Fugl-Meyer Assessment (motor impairment), and the Rivermead Mobility Index. The Functional Independence Measure (FIM) was assessed at admission and discharge by the clinical team. Fifty-five age- and gender-matched healthy controls completed one assessment. Results. Inpatients demonstrated lower self-reported sleep quality (P < .001) and more fragmented sleep (P < .001) than controls. For inpatients, sleep fragmentation explained significant additional variance in motor outcomes, over and above that explained by admission FIM score (P < .017), such that more disrupted sleep was associated with poorer motor outcomes. Using stepwise linear regression, sleep fragmentation was the only variable found to explain variance in rate of change in FIM (R²_adj = 0.12, P = .027), whereby more disrupted sleep was associated with slower recovery. Conclusions. Inpatients with brain injury demonstrate impaired sleep quality, and this is associated with poorer motor outcomes and slower functional recovery. Further investigation is needed to determine how sleep quality can be improved and whether this affects outcome.

Social isolation during the COVID-19 pandemic can increase physical inactivity and the global burden of cardiovascular disease

Emerging data indicate a substantial decrease in global physical activity levels during the period of social isolation adopted worldwide to contain the spread of the coronavirus disease 2019 (COVID-19). Confinement-induced decreases in physical activity levels and increases in sedentary behavior may provoke a rapid deterioration of cardiovascular health and premature deaths among populations with increased cardiovascular risk. Even short-term (1-4 wk) inactivity has been linked with detrimental effects in cardiovascular function and structure and increased cardiovascular risk factors. In this unprecedented and critical scenario, home-based physical activity programs arise as a clinically relevant intervention to promote health benefits to cardiac patients. Many studies have demonstrated the feasibility, safety, and efficacy of different models of home-based exercise programs in the primary and secondary prevention of cardiovascular diseases and major cardiovascular events among different populations. This body of knowledge can inform evidence-based policies to be urgently implemented to counteract the impact of increased physical inactivity and sedentary behavior during the COVID-19 outbreak, thereby alleviating the global burden of cardiovascular disease.

Movement Behavior Patterns in People With First-Ever Stroke

Supplemental Digital Content is available in the text.

Movement behaviors, that is, both physical activity and sedentary behavior, are independently associated with health risks. Although both behaviors have been investigated separately in people after stroke, little is known about the combined movement behavior patterns, differences in these patterns between individuals, or the factors associated with these patterns. Therefore, the objectives of this study are (1) to identify movement behavior patterns in people with first-ever stroke discharged to the home setting and (2) to explore factors associated with the identified patterns.

Sedentary Behavior: A Key Component in the Interaction between an Integrated Lifestyle Approach and Cardiac Autonomic Function in Active Young Men

This study aimed to verify the association between autonomic cardiac function (CAF) and the integration of caloric expenditure by physical activity (PA) intensity, sedentary behavior (SB), and sleep quality (PSQI) in active young men. Thirty-five subjects were included, and caloric expenditure in moderate-to-vigorous and light-intensity PA, SB, and PSQI were assessed using questionnaires. Heart rate variability (HRV) was recorded for short periods of time in the supine and orthostatic positions. Multiple linear regression was realized unadjusted and adjusted for covariables, such as age, body mass index, and fat mass. No adjusted analysis indicated that, in the supine position, there were negative associations between the SB and the TP, HF, and NorHF indices, and positive associations between SB and NorLF and LF/HF. In the orthostatic position, an interaction between SB and NorLF was found. Significance of proportion with the TP, HF, and LF/HF indices was confirmed. When adjusted, for the supine position, negative interactions were documented between SB and the TP as well as the HF indices, and between PSQI and the LF/HF index, with interference under the HF and LF/HF indices. Finally, our findings indicate that the proposed approach interacts with CAF, and SB is significantly related to CAF in young active men.