Factors related to high-risk movement behaviour in people with stroke who are highly sedentary and inactive.

PURPOSE: To identify Capabilities, Opportunities, and Motivational factors influencing movement behaviour throughout the day in people with stroke who are highly sedentary and inactive to enable intervention development. METHODS: A qualitative study was conducted using semistructured interviews with people with stroke. The interview guide was based on the Capabilities, Opportunities, and Motivation Behavioural model. RESULTS: Eleven interviews were conducted. Participants reported a lack of knowledge regarding healthy movement behaviour patterns, a lack of insight into their own movement behaviour, and some physical and cognitive limitations to engage in certain physical activities. Several social and environmental elements affecting movement behaviours were mentioned, their impact on movement behaviour varied among participants. Movement behaviour was mostly driven by habits and daily routine, without conscious regulation. CONCLUSION: Our findings show that people with stroke are unaware of their own movement behaviour or of the consequences of these behaviours on health. Movement behaviour is, for the most part, based on daily routine and personal habits. This indicates the need for a behaviour change intervention. Such interventions will need to include providing information about healthy movement behaviour, feedback on individual's movement behaviour and individualized support, taking into account the social and environmental context and personal capabilities.

There is a need to provide insight and feedback regarding individuals' movement behaviour and information about healthy movement behaviour to enable people with stroke who are highly sedentary and inactive to improve their movement behaviour.Movement behaviour is, for the most part, based on daily routine and personal habits.People need individualised support, and personal capabilities, the social and environmental context need to be taken into account to support sustainable movement behaviour change.These findings can be used in clinical practise and to inform intervention development to support movement behaviour change in people after stroke who are highly sedentary and inactive.

The longitudinal association between movement behavior patterns and the course of participation up to one year after stroke.

PURPOSE: (1) To investigate the differences in the course of participation up to one year after stroke between distinct movement behavior patterns identified directly after discharge to the home setting, and (2) to investigate the longitudinal association between the development of movement behavior patterns over time and participation after stroke. MATERIALS AND METHODS: 200 individuals with a first-ever stroke were assessed directly after discharge to the home setting, at six months and at one year. The Participation domain of the Stroke Impact Scale 3.0 was used to measure participation. Movement behavior was objectified using accelerometry for 14 days. Participants were categorized into three distinct movement behavior patterns: sedentary exercisers, sedentary movers and sedentary prolongers. Generalized estimating equations (GEE) were performed. RESULTS: People who were classified as sedentary prolongers directly after discharge was associated with a worse course of participation up to one year after stroke. The development of sedentary prolongers over time was also associated with worse participation compared to sedentary exercisers. CONCLUSIONS: The course of participation after stroke differs across distinct movement behavior patterns after discharge to the home setting. Highly sedentary and inactive people with stroke are at risk for restrictions in participation over time.Implications for rehabilitationThe course of participation in people with a first-ever stroke up to one year after discharge to the home setting differed based on three distinct movement behavior patterns, i.e., sedentary exercisers, sedentary movers and sedentary prolongers.Early identification of highly sedentary and inactive people with stroke after discharge to the home setting is important, as sedentary prolongers are at risk for restrictions in participation over time.Supporting people with stroke to adapt and maintain a healthy movement behavior after discharge to the home setting could prevent potential long-term restrictions in participation.

Movement behavior patterns composition remains stable, but individuals change their movement behavior pattern over time in people with a first-ever stroke.

BACKGROUND: Movement behaviors (i.e., physical activity levels, sedentary behavior) in people with stroke are not self-contained but cluster in patterns. Recent research identified three commonly distinct movement behavior patterns in people with stroke. However, it remains unknown if movement behavior patterns remain stable and if individuals change in movement behavior pattern over time. OBJECTIVES: 1) To investigate the stability of the composition of movement behavior patterns over time, and 2) determine if individuals change their movement behavior resulting in allocation to another movement behavior pattern within the first two years after discharge to home in people with a first-ever stroke. METHODS: Accelerometer data of 200 people with stroke of the RISE-cohort study were analyzed. Ten movement behavior variables were compressed using Principal Componence Analysis and K-means clustering was used to identify movement behavior patterns at three weeks, six months, one year, and two years after home discharge. The stability of the components within movement behavior patterns was investigated. Frequencies of individuals' movement behavior pattern and changes in movement behavior pattern allocation were objectified. RESULTS: The composition of the movement behavior patterns at discharge did not change over time. At baseline, there were 22% sedentary exercisers (active/sedentary), 45% sedentary movers (inactive/sedentary) and 33% sedentary prolongers (inactive/highly sedentary). Thirty-five percent of the stroke survivors allocated to another movement behavior pattern within the first two years, of whom 63% deteriorated to a movement behavior pattern with higher health risks. After two years there were, 19% sedentary exercisers, 42% sedentary movers, and 39% sedentary prolongers. CONCLUSIONS: The composition of movement behavior patterns remains stable over time. However, individuals change their movement behavior. Significantly more people allocated to a movement behavior pattern with higher health risks. The increase of people allocated to sedentary movers and sedentary prolongers is of great concern. It underlines the importance of improving or maintaining healthy movement behavior to prevent future health risks after stroke.

People with Stroke Are Most Sedentary in the Afternoon and Evening.

QUESTIONS: What are the daily temporal patterns of movement behaviours (sedentary time, light-intensity physical activity, and moderate-vigorous physical activity) in people with stroke? Do daily temporal patterns of sedentary time differ (a) between subgroups of people with different movement behaviour classifications and (b) over time during the first year after stroke? DESIGN: This study represents secondary exploratory analyses from an observational, longitudinal cohort study (n = 197). PARTICIPANTS: This study included people with first-ever stroke recruited from 4 hospitals in the Netherlands. OUTCOME MEASURES: Movement behaviour was objectively measured using the Activ8 activity monitor within 3 weeks after hospital discharge and again at 6 and 12 months later. RESULTS: Participants spent the least time sedentary in the morning with proportionally more sedentary time as the day progressed with maximal sedentary time seen in the evening hours. This pattern did not substantially change over time. Sedentary prolongers spent significantly more absolute time sedentary for each hour of the day, but the daily temporal pattern of sedentary time did not differ between this group and either "sedentary movers" or "sedentary exercisers." CONCLUSION: People living at home after stroke are highly sedentary, particularly in the afternoons and evenings, and this pattern does not change during the first year after stroke. Clinicians should encourage people with stroke to find meaningful tasks to do during the day to reduce their sitting time. Researchers developing interventions to encourage people to sit less should include particular focus on the afternoon and evening time periods.

The course of physical functioning in the first two years after stroke depends on peoples' individual movement behavior patterns.

BACKGROUND AND PURPOSE: Deterioration of physical functioning after stroke in the long term is regarded as a major problem. Currently, the relationship between "peoples'" movement behavior patterns (the composition of sedentary behavior and physical activity during waking hours) directly after stroke and the development of physical functioning over time is unknown. Therefore, the objectives of this study were to investigate (1) the course of physical functioning within the first two years after returning home after stroke, and (2) the association between physical functioning and baseline movement behavior patterns. METHOD: In the longitudinal RISE cohort study, 200 persons with a first-ever stroke discharged to the home-setting were included. Participants' physical functioning was assessed within three weeks, at six months, and one and two years after discharge using the Stroke Impact Scale (SIS) 3.0 subscale physical and the five-meter walk test (5MWT). Three distinct movement behavior patterns were identified in a previous study at baseline and were used in the current study: (1) sedentary exercisers (sufficiently active and 64% of waking hours sedentary), (2) sedentary movers' (inactive and 63% of waking hours sedentary), and (3) sedentary prolongers (inactive and >78% of waking hours sedentary accumulated in long prolonged bouts). The association between movement behavior patterns and the course of physical functioning was determined using longitudinal generalized estimating equations analyses. RESULTS: Overall participants' physical functioning increased between discharge and six months and declined from six months up to two years. Physical functioning remained stable during the first two years after stroke in sedentary exercisers. Physical functioning improved during the first six months after discharge in sedentary movers and sedentary prolongers and deteriorated in the following six months. Only physical functioning (SIS) of sedentary prolongers further declined from one up to two years. A similar pattern was observed in the 5MWT. CONCLUSION: Movement behavior patterns identified directly after returning home in people with stroke are associated with and are predictive of the course of physical functioning. Highly sedentary and inactive people with stroke have unfavorable outcomes over time than individuals with higher amounts of physical activity.

Self-Efficacy Is a Modifiable Factor Associated with Frailty in Those with Minor Stroke: Secondary Analysis of 200 Cohort Respondents.

BACKGROUND: Owing to the improvement in acute care, there has been an increase in the number of people surviving stroke and living with its impairments. Frailty is common in people with stroke and has a significant impact on the prognosis after stroke. To reduce frailty progression, potentially modifiable factors should be identified. Increasing levels of self-efficacy influence both behaviour and physical functioning, and therefore it could be a potential target to prevent frailty. METHODS: This is a prospective cohort study that involved the secondary analysis of the RISE data to examine the relationship between self-efficacy and frailty. The RISE study is a longitudinal study that consists of 200 adults aged 18+ years after their first stroke event. Data were collected from the respondents at 3 weeks, 6 months, 12 months, and 24 months after their discharge from the hospital. Frailty was assessed using the multidimensional frailty index with scores ranging from 0 to 1, and self-efficacy was assessed using the SESx scale, which was dichotomized as low/moderate or high. Frailty trajectories were examined using the repeated linear model. The generalized estimating equation was used to examine the relationship between self-efficacy and frailty at baseline and in the future (6-24 months). The B coefficients were reported at 95% CI before and after adjusting for potential confounders (age, gender, stroke severity, education, and social support). RESULTS: A total of 200 responses were analysed, and the mean age of the respondents was 67.78 ± 11.53. Females made up 64% of the sample, and the mean frailty score at baseline was 0.17 ± 0.09. After adjusting for confounders, respondents with low self-efficacy had an approximately 5% increase in their frailty scores at baseline and in the 24-month follow-up period compared to those with high self-efficacy. CONCLUSION: The result from this study showed that self-efficacy was significantly associated with frailty after stroke. Our findings suggest that self-efficacy may play a role in frailty progression among stroke survivors.

Decision-Making on Referral to Primary Care Physiotherapy After Inpatient Stroke Rehabilitation.

OBJECTIVE: This study aimed to acquire insight into the decision-making processes of healthcare professionals concerning referral to primary care physiotherapy at the time of discharge from inpatient stroke rehabilitation. DESIGN: A generic qualitative study using an inductive thematic analysis was performed. Semi-structured interviews were conducted following an interview guide. SETTING: Secondary care centers in the Netherlands: neurology departments of nine hospitals and (geriatric) rehabilitation centers. PARTICIPANTS: Nineteen healthcare professionals (physiotherapists, specialist in geriatric medicine, physiatrist, physician assistant) participated in the study. All were involved in the decision for referral to primary care physiotherapy. RESULTS: During the inpatient period, healthcare professionals gather information to form a complete picture of the stroke survivor as a basis for decision-making. The decision on referral is influenced by personal factors and home environment of the stroke survivor, organizational factors within the care setting, and the intuition and feeling of social responsibility of the individual healthcare professional. CONCLUSIONS: After inpatient rehabilitation, many elements are considered that may influence referral to primary care physiotherapy. Presently, there is no consensus concerning referrals. The final decision depends on the individual physiotherapist and care setting. Healthcare professionals mentioned the importance of movement behavior, although there is no consensus if secondary prevention is a primary task of the physiotherapist. More research is needed to identify risk factors for functional decline in order to develop a referral policy that addresses primary care physiotherapy to the right group of stroke survivors.

Effect of aerobic training on vascular and metabolic risk factors for recurrent stroke: a meta-analysis.

AIM: This meta-analysis aimed to determine the effect of aerobic training, compared to non-aerobic interventions, on vascular and metabolic risk factors for recurrent stroke. METHOD: This study was conducted using the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines (PRISMA). Searches were performed in PubMed, Embase, Cochrane library and Cinahl up to May 8th 2019. Randomized clinical trials evaluating the effect of solely aerobic training on vascular and metabolic risk factors for recurrent stroke were included in a meta-analysis if relevant outcomes were reported in at least two articles. RESULTS: Our search resulted in a total of 7381 hits. Eleven outcomes out of nine articles were included in the meta-analysis. A significant positive effect of aerobic training was found on systolic blood pressure (-3.59 mmHg, 95% CI -6.14 to -1.05) and fasting glucose (-0.12 mmol/l, 95% CI -0.23 to -0.02). The effect on systolic blood pressure further improved when only high-quality studies were included (-4.95 mmHg, 95% CI -8.24 to -1.66). CONCLUSION: Aerobic training results in a significant positive effect on systolic blood pressure and fasting glucose after stroke when compared to non-aerobic usual care or non-aerobic exercise.Implications for rehabilitationAerobic training has a positive effect on two of the most important vascular risk factors for recurrent stroke (i.e., systolic blood pressure and fasting glucose).The effect of solely aerobic training seems to be comparable to the effect of combined strength exercise and aerobic training for systolic blood pressure and fasting glucose.Since aerobic training has a significant effect on risk factors for recurrent stroke, implementation of aerobic training in daily life is important to reduce long term stroke risk.Previous research has showed that other metabolic risk factors can be altered by other interventions (e.g., strength exercise or lifestyle coaching), therefore, post-stroke prevention programs should be tailored in order to target specific risk-factors for individual patients.

General lifestyle interventions on their own seem insufficient to improve the level of physical activity after stroke or TIA: a systematic review.

BACKGROUND: Insufficient amounts of physical activity is a risk factor for (recurrent) stroke. People with a stroke or transient ischemic attack (TIA) have a high risk of recurrent stroke and have lower levels of physical activity than their healthy peers. Though several reviews have looked at the effects of lifestyle interventions on a number of risk factors of recurrent stroke, the effectiveness of these interventions to increase the amounts of physical activity performed by people with stroke or TIA are still unclear. Therefore, the research question of this study was: what is the effect of lifestyle interventions on the level of physical activity performed by people with stroke or TIA? METHOD: A systematic review was conducted following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. Pubmed, Embase and Cumulative Index for Nursing and Allied Health Literature (CINAHL), were searched up to August 2018. Randomised controlled trials that compared lifestyle interventions, aimed to increase the amount of physical activity completed by participants with a stroke or TIA, with controls were included. The Physiotherapy Evidence Database (PEDro) score was used to assess the quality of the articles, and the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) method for the best evidence synthesis. RESULTS: Eleven trials (n = 2403) met the inclusion criteria. The quality of the trials was mostly high, with 8 (73%) of trials scoring ≥6 on the PEDro scale. The overall best evidence syntheses showed moderate quality evidence that lifestyle interventions do not lead to significant improvements in the physical activity level of people with stroke or TIA. There is low quality evidence that lifestyle interventions that specifically target physical activity are effective at improving the levels of physical activity of people with stroke or TIA. CONCLUSION: Based on the results of this review, general lifestyle interventions on their own seem insufficient in improving physical activity levels after stroke or TIA. Lifestyle interventions that specifically encourage increasing physical activity may be more effective. Further properly powered trials using objective physical activity measures are needed to determine the effectiveness of such interventions. TRIAL REGISTRATION: PROSPERO, CRD42018094437.

Movement behavior remains stable in stroke survivors within the first two months after returning home.

BACKGROUND AND PURPOSE: The aim of this study is to investigate changes in movement behaviors, sedentary behavior and physical activity, and to identify potential movement behavior trajectory subgroups within the first two months after discharge from the hospital to the home setting in first-time stroke patients. METHODS: A total of 140 participants were included. Within three weeks after discharge, participants received an accelerometer, which they wore continuously for five weeks to objectively measure movement behavior outcomes. The movement behavior outcomes of interest were the mean time spent in sedentary behavior (SB), light physical activity (LPA) and moderate to vigorous physical activity (MVPA); the mean time spent in MVPA bouts ≥ 10 minutes; and the weighted median sedentary bout. Generalized estimation equation analyses were performed to investigate overall changes in movement behavior outcomes. Latent class growth analyses were performed to identify patient subgroups of movement behavior outcome trajectories. RESULTS: In the first week, the participants spent an average, of 9.22 hours (67.03%) per day in SB, 3.87 hours (27.95%) per day in LPA and 0.70 hours (5.02%) per day in MVPA. Within the entire sample, a small but significant decrease in SB and increase in LPA were found in the first weeks in the home setting. For each movement behavior outcome variable, two or three distinctive subgroup trajectories were found. Although subgroup trajectories for each movement behavior outcome were identified, no relevant changes over time were found. CONCLUSION: Overall, the majority of stroke survivors are highly sedentary and a substantial part is inactive in the period immediately after discharge from hospital care. Movement behavior outcomes remain fairly stable during this period, although distinctive subgroup trajectories were found for each movement behavior outcome. Future research should investigate whether movement behavior outcomes cluster in patterns.

Movement Behavior Patterns in People With First-Ever Stroke.

Background and Purpose- 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. Methods- Cross-sectional design using data from 190 people with first-ever stroke discharged to the home setting. Movement, behavior was measured over 2 weeks using an accelerometer. Ten movement behavior outcomes were calculated and compressed using principal component analysis. Movement behavior patterns were identified using a k-means clustering algorithm. Demographics, stroke, care, physical functioning, and psychological, cognitive and social factors were obtained. Differences between and factors associated with the patterns were investigated. Results- On average, the accelerometer was worn for 13.7 hours per day. The average movement behavior of the participants showed 9.3 sedentary hours, 3.8 hours of light physical activity, and 0.6 hours of moderate-vigorous physical activity. Three patterns and associated factors were identified: (1) sedentary exercisers (22.6%), with a relatively low age, few pack-years, light drinking, and high levels of physical functioning; (2) sedentary movers (45.8%), with less severe stroke symptoms, low physical functioning and high levels of self-efficacy; and (3) sedentary prolongers (31.6%), with more severe stroke symptoms, more pack-years, and low levels of self-efficacy. Conclusions- The majority of people with stroke are inactive and sedentary. Three different movement behavior patterns were identified: sedentary exercisers, sedentary movers, and sedentary prolongers. The identified movement behavior patterns confirm the hypothesis that an individually tailored approach might be warranted with movement behavior coaching by healthcare professionals.

Validation and responsiveness of the Late-Life Function and Disability Instrument Computerized Adaptive Test in community-dwelling stroke survivors.

BACKGROUND: Follow-up of stroke survivors is important to objectify activity limitations and/or participations restrictions. Responsive measurement tools are needed with a low burden for professional and patient. AIM: To examine the concurrent validity, floor and ceiling effects and responsiveness of both domains of the Late-Life Function and Disability Index Computerized Adaptive Test (LLFDI-CAT) in first-ever stroke survivors discharged to their home setting. DESIGN: Longitudinal study. SETTING: Community. POPULATION: First ever stroke survivors. METHODS: Participants were visited within three weeks after discharge and six months later. Stroke Impact Scale (SIS 3.0) and Five-Meter Walk Test (5MWT) outcomes were used to investigate concurrent validity of both domains, activity limitations, and participation restriction, of the LLFDI-CAT. Scores at three weeks and six months were used to examine floor and ceiling effects and change scores were used for responsiveness. Responsiveness was assessed using predefined hypotheses. Hypotheses regarding the correlations with change scores of related measures, unrelated measures, and differences between groups were formulated. RESULTS: The study included 105 participants. Concurrent validity (R) of the LLFDI-CAT activity limitations domain compared with the physical function domain of the SIS 3.0 and with the 5MWT was 0.79 and -0.46 respectively. R of the LLFDI-CAT participation restriction domain compared with the participation domain of the SIS 3.0 and with the 5MWT was 0.79 and -0.41 respectively. A ceiling effect (15%) for the participation restriction domain was found at six months. Both domains, activity limitations and participation restrictions, of the LLFDI-CAT, scored well on responsiveness: 100% (12/12) and 91% (12/11) respectively of the predefined hypotheses were confirmed. CONCLUSIONS: The LLFDI-CAT seems to be a valid instrument and both domains are able to detect change over time. Therefore, the LLFDI-CAT is a promising tool to use both in practice and in research. CLINICAL REHABILITATION IMPACT: The LLFDI-CAT can be used in research and clinical practice.

The Course of Activities in Daily Living: Who Is at Risk for Decline after First Ever Stroke?

BACKGROUND: Stroke is not only an acute disease, but for the majority of patients, it also becomes a chronic condition. There is a major concern about the long-term follow-up with respect to activities of daily living (ADL) in stroke survivors. Some patients seem to be at risk for decline after a first-ever stroke. The purpose of this study was to determine the course of ADL from 3 months after the first-ever stroke and onward and identify factors associated with decline in ADL. METHODS: A systematic literature search of 3 electronic databases through June 2015 was conducted. Longitudinal studies evaluating changes in ADL from 3 months post stroke onward were included. Cohorts including recurrent strokes and transient ischemic attacks were excluded. Regarding the course of ADL, a meta-analysis was performed using random-effects model. A best evidence synthesis was performed to identify factors associated with decline in ADL. RESULTS: Out of 10,473 publications, 28 unique studies were included. A small but significant improvement in ADL was found from 3 to 12 months post stroke (standardized mean difference (SMD) 0.17 (0.04-0.30)), which mainly seemed to occur between 3 and 6 months post stroke (SMD 0.15 (0.05-0.26)). From 1 to 3 years post stroke, no significant change was found. Five studies found a decline in ADL status over time in 12-40% of patients. Nine factors were associated with ADL decline. There is moderate evidence for being dependent in ADL and impaired motor function of the leg. Limited evidence was found associated with insurance status, living alone, age ≥80, inactive state and having impaired cognitive function, depression and fatigue with decline in ADL. CONCLUSION: Although on an average patients do not seem to decline in ADL for up to 3 years, there is considerable variation within the population. Some modifiable factors associated with decline in ADL were identified. However, more research is needed before patients at risk of deterioration in ADL can be identified.