Professor Coralie English

Background: Adherence to exercise interventions is the cornerstone of a successful rehabilitation program. However, there is limited evidence on multifaceted components of exercise adherence. Therefore, we aimed to summarize the existing literature on measurement, determinants, barriers, theoretical frameworks, and evidence-based interventions that support exercise adherence. Methods: We conducted a scoping review based on the PRISMA extension for scoping reviews guidelines and searched the literature in PubMed, Cochrane Databases of Systematic Reviews, ScienceDirect, and Web of Science. Two reviewers independently screened articles. The included articles were subjected to data extraction and qualitative synthesis. Results: A total of 72 articles were included for this review. Data synthesis showed that there are no gold standard methods of measuring exercise adherence; however, questionnaires and daily logs are commonly used tools. The determinants of adherence are personal, disease-related, therapy-related, provider-related, and health system-related. The common barriers to adherence are the absence of a caregiver, low health literacy, poor communication by healthcare providers, cost, and lack of access to health facilities. Few evidence-based interventions used for supporting adherence are behavioral strategies, improving self-efficacy, motivational therapy, and mHealth or multimedia. Conclusion: Non-adherence to exercises is a challenge for healthcare providers. There are no standard guidelines for the evaluation and management of non-adherence to exercises. Future studies should aim at developing objective measures of exercise adherence and investigate the long-term effects of adherence strategies in different disease populations. It is an under-researched area and requires multipronged strategies to improve adherence levels among patients.

BACKGROUND: Poststroke pain remains underdiagnosed and inadequately managed. To inform the optimum time to initiate interventions, we examined prevalence, trajectory, and participant factors associated with poststroke pain. METHODS: Eligible studies from the VISTA (Virtual International Stroke Trials Archives) included an assessment of pain. Analyses of individual participant data examined demography, pain, mobility, independence, language, anxiety/depression, and vitality. Pain assessments were standardized to the European Quality of Life Scale (European Quality of Life 5 Dimensions 3 Level) pain domain, describing no, moderate, or extreme pain. We described pain prevalence, associations between participant characteristics, and pain using multivariable models. RESULTS: From 94 studies (n>48 000 individual participant data) in VISTA, 10 (n=10 002 individual participant data) included a pain assessment. Median age was 70.0 years (interquartile range [59.0-77.1]), 5560 (55.6%) were male, baseline stroke severity was National Institutes of Health Stroke Scale score 10 (interquartile range [7-15]). Reports of extreme pain ranged between 3% and 9.5% and were highest beyond 2 years poststroke (31/328 [9.5%]); pain trajectory varied by study. Poorer independence was significantly associated with presence of moderate or extreme pain (5 weeks-3 months odds ratio [OR], 1.5 [95% CI, 1.4-1.6]; 4-6 months OR, 1.7 [95% CI, 1.3-2.1]; >6 months OR, 1.5 [95% CI, 1.2-2.0]), and increased severity of pain (5 weeks-3 months: OR, 1.2 [95% CI, 1.1-1.2]; 4-6 months OR, 1.1 [95% CI, 1.1-1.2]; >6 months, OR, 1.2 [95% CI, 1.1-1.2]), after adjusting for covariates. Anxiety/depression and lower vitality were each associated with pain severity. CONCLUSIONS: Between 3% and 9.5% of participants reported extreme poststroke pain; the presence and severity of pain were independently associated with dependence at each time point. Future studies could determine whether and when interventions may reduce the prevalence and severity of poststroke pain.

Purpose: Sedentary behaviour (SB) is associated with negative health outcomes and is prevalent post-stroke. This study explored SB after stroke from the perspective of stroke service staff. Methods: Qualitative mixed-methods study. Non-participant observations in two stroke services (England/Scotland) and semi-structured interviews with staff underpinned by the COM-B model of behaviour change. Observations were analysed thematically; interviews were analysed using the Framework approach. Results: One hundred and thirty-two observation hours (October - December 2017), and 31 staff interviewed (January ¿June 2018). Four themes were identified: (1) Opportunities for staff to support stroke survivors to reduce SB; (2) Physical and psychological capability of staff to support stroke survivors to reduce SB; (3) Motivating factors influencing staff behaviour to support stroke survivors to reduce SB; (4) Staff suggestions for a future intervention to support stroke survivors to reduce SB. Conclusions: Staff are aware of the consequences of prolonged sitting but did not relate to SB. Explicit knowledge of SB was limited. Staff need training to support stroke survivors to reduce SB. Sedentary behaviour in the community was not reported to change markedly, highlighting the need to engage stroke survivors in movement from when capable in hospital, following through to home.Implications for rehabilitation Stroke survivor sedentary behaviour is influenced, directly and indirectly, by the actions and instructions of stroke service staff in the inpatient and community setting. The built and social environment, both in the inpatient and community settings, may limit opportunities for safe movement and can result in stroke survivors spending more time sedentary. Stroke service staff appreciate the benefit of encouraging stroke survivors to stand and move more, if it is safe for them to do so. Staff would be amenable to encourage stroke survivors to reduce sedentary behaviour, provided they have the knowledge and resources to equip them to support this.

Background: Adherence to prescribed exercises is essential for home-based programs to be effective, but evidence for strategies to enhance exercise adherence in people with stroke is lacking. Objectives: To determine the effect of adherence strategies on the proportion of people with stroke who adhere to prescribed home-based exercises and their level of adherence at 6 and 12¿weeks of intervention. Our secondary objective was to determine the effect of the combined intervention on mobility and quality of life post-stroke. Methods: We conducted an RCT among people with stroke (Exp¿=¿27, Con¿=¿25) living in semi-urban India. Both groups received standard hospital care and a home exercise program. The experimental group also received adherence strategies delivered over five sessions. Adherence was measured using the Stroke-Specific Measure of Adherence to Home-based Exercises (SS-MAHE), mobility using Mobility Disability Scale, and quality of life using the Stroke Impact Scale. Results: The experimental group had better exercise adherence compared to the control group both at six (mean difference [MD] 45, 95% CI 40, 64, p <¿.001) and 12¿weeks (MD 51, 95% CI 39, 63, p <¿.001). The experimental group also had better mobility at 12¿weeks (median (IQR), experimental 42 (57), median (IQR), control 95 (50), p =¿.002). There was no difference in the quality of life scores between groups at six or 12¿weeks. Conclusion: The adherence strategies were effective in improving exercise adherence and mobility post-stroke but did not improve quality of life. Trial registration: CTRI/2018/08/015212.

Background and Purpose: Regular, sustained moderate-to-vigorous physical activity (MVPA) is a recommended strategy to reduce the risk of recurrent stroke for people who have had transient ischemic attack (TIA) or mild stroke. This study aimed to explore attitudes toward, and experience of engaging in physical activity by adults following a TIA or mild stroke. Methods: Constructivist grounded theory methodology informed data collection and analysis. Interviews from 33 adults with TIA or mild stroke (mean age 65 [SD 10] years, 48% female, 40% TIA) were collected. Results: Business as usual characterized physical activity engagement post-TIA or mild stroke. Most participants returned to prestroke habits, as either regular exerciser or nonexerciser, with only a small number making changes. Influencing factors for physical activity participation included information, challenges, strategies, and support. Business as usual was associated with a perceived lack of information to suggest a need to change behaviors. Nonexercisers and those who decreased physical activity emphasized challenges to physical activity, while regular exercisers and those who increased physical activity focused on strategies and support that enabled participation despite challenges. Discussion and Conclusion: Information about the necessity to engage in recommended physical activity levels requires tailoring to the needs of the people with TIA or mild stroke. Helpful information in combination with support and strategies may guide how to navigate factors preventing engagement and might influence the low level of physical activity prevalent in this population. Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1 available at: Http://links.lww.com/JNPT/A376).

Objective: Maintaining clinical guideline currency has been one challenge to traditional guideline development. This paper describes the methods used to maintain a large national guideline for stroke management. Study design and setting: The Australian Stroke Clinical Guidelines are developed to meet Australian National Health and Medical Research Council (NHMRC) standards. Monthly surveillance is conducted for new systematic reviews and randomised controlled studies. Included studies undergo data extraction followed by preparation of updated evidence-to-decision frameworks which are used to inform updates, or development of new recommendations. Small writing groups made up of clinical experts and those with lived experience review and agree on changes, which are finally reviewed by a multidisciplinary Guidelines Steering Group. Draft changes are developed and published using the online MAGICapp platform, with dissemination and promotion via traditional methods as well as social media. Results: Each month approximately 350 abstracts are considered, covering 96 clinical topics and taking on average 16 h to review. There have been four major guideline updates covering 34 new and updated recommendations. Conclusion: It is feasible to use ¿living¿ methods to maintain the Australian Clinical Guidelines for Stroke Management. Further work is now needed to understand the impact of living guidelines.

Purpose: The risk of recurrent stroke following a transient ischaemic attack (TIA) or non-disabling stroke is high. Clinical guidelines recommend this patient population accumulate at least 150 minutes of moderate-to-vigorous physical activity each week to reduce the risk of recurrent stroke. We aimed to identify interventions that increase time adults spend in moderate-to-vigorous physical activity following TIA or non-disabling stroke. Method: We searched thirteen databases for articles of secondary prevention interventions reporting outcomes for duration in moderate-to-vigorous physical activity or exercise capacity. Results: Eight trials were identified (n = 2653). Of these, three (n = 198) reported changes in time spent in moderate-to-vigorous physical activity. Only one trial (n = 70), reported significant change in time spent engaging in moderate-to-vigorous physical activity (between-group difference: 11.7 min/day [95% CI 4.07¿19.33]) when comparing participation in a six-month exercise education intervention to usual care. No trial measured moderate-to-vigorous physical activity after intervention end. Conclusion: Despite recommendations to participate in regular physical activity at moderate-to-vigorous intensity for secondary stroke prevention, there is very little evidence for effective interventions for this patient population. There is need for clinically feasible interventions that result in long-term participation in physical activity in line with clinical guidelines. Trial registration: Protocol registration: PROSPERO CRD42018092840Implications for rehabilitation There is limited evidence of the effectiveness of interventions that aim to increase time spent engaging in moderate-to-vigorous physical activity (MVPA) for people following a TIA or non-disabling stroke. A program comprising aerobic and resistance exercises =2 per week, supervised by a health professional (supplemented with a home program) over at least 24 weeks appears to be effective in assisting people adhere to recommended levels of moderate to vigorous physical activity after TIA or non-disabling stroke. Secondary prevention programs which include health professional supervised exercise sessions contribute to better adherence to physical activity guidelines; didactic sessions alone outlining frequency and intensity are unlikely to be sufficient.

Purpose: To explore the factors influencing adherence to home-based exercises among community-dwelling stroke survivors using Intervention Mapping (IM) approach. Material and methods: Qualitative interviews were conducted with ten stroke survivors living in semi-urban regions of India. The data were analysed using Atlas.Ti8 software and categorised using the Social Ecological Model. Results: The mean age of the stroke participants was 61 ± 11¿years. Key factors such as lack of awareness about stroke recovery and exercises, poor perceived recovery, hopelessness and lack of emphasis on exercises by healthcare professionals led to non-adherence while commitment, continued supervision, supportive family and society facilitated adherence. Some cultural specific factors such as opting for folk medicine over rehabilitation and social stigma were also identified. Conclusions: The factors which influenced adherence to home-based exercises in stroke are existent at the individual, interpersonal, organisational and community level. This study can lead to the development of effective interventions for promoting exercise adherence among stroke survivors in low and middle income countries (LMICs).

Objectives: Sedentary behaviour research is a relatively new field, much of which has emerged since the widespread acceptance of clinical trial registration. The aim of this study was to investigate the trial registration and related issues in studies investigating the effect of frequent activity interruptions to prolonged sitting-time. Methods: Secondary analysis of a scoping review including systematic searches of databases and trial registries. We included experimental studies investigating the effects of frequent activity interruptions to prolonged sitting-time. Results: We identified 32 trials published in 45 papers. Only 16 (50%) trials were registered, with all 16 trials being completed and published. Of the unregistered trials, we identified three (19%) for which similarities in the sample size and participant demographics across papers was suggestive of duplicate publication. Identification of potential duplicate publications was difficult for the remaining 13 (81%). Results from 53 (76%) of the 70 registered outcomes were published, but 11 (69%) registered trials reported results from additional outcomes not prospectively registered. A total of 46 different outcomes (out of 53 reported outcome measures, similar measures were collated) were reported across all trials, 31 (67%) of which were collected in =2 trials. Conclusions: We found direct evidence of trial registration issues in experimental trials of breaking up sitting-time. The lack of prospective registration of all trials, and the large number of outcomes measured per trial are key considerations for future research in this field. These issues are unlikely to be confined to the field of sedentary behaviour research.

Background and Purpose: Long periods of daily sedentary time, particularly accumulated in long uninterrupted bouts, are a risk factor for cardiovascular disease. People with stroke are at high risk of recurrent events and prolonged sedentary time may increase this risk. We aimed to explore how people with stroke distribute their periods of sedentary behavior, which factors influence this distribution, and whether sedentary behavior clusters can be distinguished? Methods: This was a secondary analysis of original accelerometry data from adults with stroke living in the community. We conducted data-driven clustering analyses to identify unique accumulation patterns of sedentary time across participants, followed by multinomial logistical regression to determine the association between the clusters, and the total amount of sedentary time, age, gender, body mass index (BMI), walking speed, and wake time. Results: Participants in the highest quartile of total sedentary time accumulated a significantly higher proportion of their sedentary time in prolonged bouts (P < 0.001). Six unique accumulation patterns were identified, all of which were characterized by high sedentary time. Total sedentary time, age, gender, BMI, and walking speed were significantly associated with the probability of a person being in a specific accumulation pattern cluster, P < 0.001 - P = 0.002. Discussion and Conclusions: Although unique accumulation patterns were identified, there is not just one accumulation pattern for high sedentary time. This suggests that interventions to reduce sedentary time must be individually tailored. Video Abstract available for more insight from the authors (see the Video Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A343).

Background: Sedentary time is prevalent following stroke, limiting functional improvement, and increasing cardiovascular risk. At discharge we examined: 1) change in sedentary time and activity over the following 3 months¿ and 2) physical, psychological or cognitive factors predicting any change. A secondary aim examined cross-sectional associations between factors and activity at 3 months. Methods: People with stroke (n¿=¿34) were recruited from two rehabilitation units. An activity monitor (ActivPAL3) was worn for 7 days during the first week home and 3 months later. Factors examined included physical, psychological, and cognitive function. Linear mixed models (adjusted for waking hours) were used to examine changes in sedentary time, walking, and step count over time. Interaction terms between time and each factor were added to the model to determine if they modified change over time. Linear regression was performed to determine factors cross-sectionally associated with 3-month activity. Results: ActivPAL data were available at both time points for 28 (82%) participants (mean age 69 [SD 12] years). At 3 months, participants spent 39 fewer minutes sedentary (95%CI -70,-8 p =¿.01), 21¿minutes more walking (95%CI 2,22 p =¿.02) and completed 1112 additional steps/day (95%CI 268,1956 p =¿.01), compared to the first week home. No factors predicted change in activity. At 3 months, greater depression (ß 22¿mins (95%CI 8,36) p =¿.004) and slower gait speed (ß¿-¿43¿mins 95%CI -59,-27 p =¿0.001) were associated with more sedentary time and less walking activity, respectively. Conclusions: Sedentary time reduced and walking activity increased between discharge home and 3 months later. Interventions targeting mood and physical function may warrant testing to reduce sedentary behavior 3 months following discharge.

Background: Low physical activity levels in people with stroke may contribute to higher risk of cardiovascular disease morbidity and mortality. Differences in economic status, culture and the built environment may influence the applicability of interventions developed in high income countries (HIC) for stroke survivors in low to middle-income countries (LMIC). Purpose: To compare physical activity levels of stroke survivors in HIC and LMIC and to explore the influence of lower limb impairment on physical activity levels. Methods and Materials: An exploratory secondary analysis of observational data on physical activity levels of stroke survivors from Australia (HIC) and India (LMIC). Physical activity variables (step count, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA)) were measured by accelerometery. Comparisons of physical activity levels between (a) Australian and Indian stroke survivors and (b) participants with and without lower limb impairments were performed using independent t-tests or Mann-Whitney U tests. Results: There were no significant differences in physical activity levels between (i) Australian and Indian stroke survivors (step count mean difference 201 steps [-1375 to 974], LPA mean difference -24 min [-22 to 69], MVPA mean difference 2 min [-8 to 3]), and (ii) stroke survivors with and without lower limb impairments in either country. Conclusion: Stroke survivors were highly inactive in both countries. Despite differences in economic status, cultural influences and the built environment, the physical activity of stroke survivors in Australia and India did not differ. People with and without lower limb impairment also had similar physical activity levels.

Background: Interrupting prolonged sitting can attenuate postprandial glucose responses in overweight adults. The dose¿response effect in stroke survivors is unknown. The authors investigated the effects of interrupting 8 hours of prolonged sitting with increasingly frequent bouts of light-intensity standing-based exercises on the postprandial glucose response in stroke survivors. Methods: Within-participant, laboratory-based, dose-escalation trial. Participants completed three 8-hour conditions: prolonged sitting and 2 experimental conditions. Experimental conditions involved light-intensity standing-based exercises of increasing frequency (2 × 5 min to 6 × 5 min bouts). Postprandial glucose is reported. Results: Twenty-nine stroke survivors (aged 66 y) participated. Interrupting 8 hours of prolonged sitting with light-intensity standing-based exercises every 90 minutes significantly decreased postprandial glucose (positive incremental area under the curve; -1.1 mmol/L·7 h; 95% confidence interval, -2.0 to -0.1). In the morning (08:00¿11:00), postprandial glucose decreased during the 4 × 5 minutes and 6 × 5 minutes conditions (positive incremental area under the curve; -0.8 mmol/L·3 h; 95% confidence interval, -1.3 to -0.3 and -0.8 mmol/L·3 h; 95% confidence interval, -1.5 to -0.2, respectively) compared with prolonged sitting. Conclusion: Interrupting 8 hours of prolonged sitting at least every 90 minutes with light-intensity standing-based exercises attenuates postprandial glucose in stroke survivors. During the morning, postprandial glucose is attenuated when sitting is interrupted every 60 and 90 minutes.

People who have had a transient ischemic attack (TIA) or mild stroke have a high risk of recurrent stroke. Secondary prevention programs providing support for meeting physical activity recommendations may reduce this risk. Most evidence for the feasibility and effectiveness of secondary stroke prevention arises from programs developed and tested in research institute settings with limited evidence for the acceptability of programs in ¿real world¿ community settings. This qualitative descriptive study explored perceptions of participation in a secondary stroke prevention program (delivered by a community-based multidisciplinary health service team within a community gym) by adults with TIA or mild stroke. Data gathered via phone-based semi-structured interviews midway through the program, and at the end of the program, were analyzed using constructivist grounded theory methods. A total of 51 interviews from 30 participants produced two concepts. The first concept, ¿What it offered me¿, describes critical elements that shape participants¿ experience of the program. The second concept, ¿What I got out of it¿ describes perceived benefits of program participation. Participants perceived that experiences with peers in a health professional-led group program, held within a community-based gym, supported their goal of changing behaviour. Including these elements during the development of health service strategies to reduce recurrent stroke risk may strengthen program acceptability and subsequent effectiveness.

Purpose: Patient readiness for secondary prevention and lifestyle change following transient ischemic attack is not well understood. Understanding patient perspectives about the timing and delivery of secondary prevention education is essential to promote meaningful risk factor reduction in this population. Materials and methods: A single, semi-structured, telephone interview was conducted with ten individuals (7 male, 3 female) within three months following a transient ischemic attack. Interviews explored transient ischemic attack experiences and post-event education. Data were analyzed using inductive thematic analysis. Results: Individuals had a variety of experiences with secondary prevention education. Four themes emerged from these experiences including ¿what the hell happened?¿, ¿I mustn¿t have been quite ready¿, ¿what should I be doing?¿ and ¿we all see it in different ways.¿ Individual knowledge, personal experience of transient ischemic attack, socio-environmental factors, and the format and content of education influenced patient readiness to receive secondary prevention education and adopt lifestyle changes. Conclusion: Readiness for risk-reduction education and lifestyle change following transient ischemic attack is individual and complex. Logistical factors including the location, time, and cost of education, timing of education delivery, and patient perspectives should be considered in the development and delivery of secondary prevention interventions for these people.Implications for rehabilitation Risk reduction and lifestyle change following transient ischemic attack is vital to prevent recurrent stroke. Patients are ready to receive risk reduction and lifestyle advice approximately one week after their transient ischemic attack. Programs designed to provide risk reduction and lifestyle education should be informed by the unique requirements of this population. Uptake of participation in secondary prevention programs may be maximized by offering flexibility in terms of timing post-event and modes of delivery (e.g. Telehealth).

Background: Stroke survivors are often physically inactive as well as sedentary,and may sit for long periods of time each day. This increases cardiometabolic risk and has impacts on physical and other functions. Interventions to reduce or interrupt periods of sedentary time, as well as to increase physical activity after stroke, could reduce the risk of secondary cardiovascular events and mortality during life after stroke. Objectives: To determine whether interventions designed to reduce sedentary behaviour after stroke, or interventions with the potential to do so, can reduce the risk of death or secondary vascular events, modify cardiovascular risk, and reduce sedentary behaviour. Search methods: In December 2019, we searched the Cochrane Stroke Trials Register, CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, Conference Proceedings Citation Index, and PEDro. We also searched registers of ongoing trials, screened reference lists, and contacted experts in the field. Selection criteria: Randomised trials comparing interventions to reduce sedentary time with usual care, no intervention, or waiting-list control, attention control, sham intervention or adjunct intervention. We also included interventions intended to fragment or interrupt periods of sedentary behaviour. Data collection and analysis: Two review authors independently selected studies and performed 'Risk of bias' assessments. We analyzed data using random-effects meta-analyses and assessed the certainty of the evidence with the GRADE approach. Main results: We included 10 studies with 753 people with stroke. Five studies used physical activity interventions, four studies used a multicomponent lifestyle intervention, and one study used an intervention to reduce and interrupt sedentary behaviour. In all studies, the risk of bias was high or unclear in two or more domains. Nine studies had high risk of bias in at least one domain. The interventions did not increase or reduce deaths (risk difference (RD) 0.00, 95% confidence interval (CI) -0.02 to 0.03; 10 studies, 753 participants; low-certainty evidence), the incidence of recurrent cardiovascular or cerebrovascular events (RD -0.01, 95% CI -0.04 to 0.01;¿10 studies, 753 participants; low-certainty evidence), the incidence of falls (and injuries) (RD 0.00, 95% CI -0.02 to 0.02; 10 studies, 753 participants; low-certainty evidence), or incidence of other adverse events (moderate-certainty evidence). Interventions did not increase or reduce the amount of sedentary behaviour time (mean difference (MD) +0.13 hours/day, 95% CI -0.42 to 0.68; 7 studies, 300 participants; very low-certainty evidence). There were too few data to examine effects on patterns of sedentary behaviour. The effect of interventions on cardiometabolic risk factors allowed very limited meta-analysis. Authors' conclusions: Sedentary behaviour research in stroke seems important, yet the evidence is currently incomplete, and we found no evidence for beneficial effects. Current World Health Organization (WHO) guidelines recommend reducing the amount of sedentary time in people with disabilities, in general. The evidence is currently not strong enough to guide practice on how best to reduce sedentariness specifically in people with stroke. More high-quality randomised trials are needed, particularly involving participants with mobility limitations. Trials should include longer-term interventions specifically targeted at reducing time spent sedentary, risk factor outcomes, objective measures of sedentary behaviour (and physical activity), and long-term follow-up.

Purpose: Repetitive task practice after stroke is important to improve function, yet adherence to exercise is low. The aim of this study was to determine whether using the internet, a tablet application, and a chair sensor that connected to a therapist was feasible in monitoring adherence and progressing a functional exercise at home. Methods: Ten participants with stroke completed a 4-week sit-to-stand exercise using the technology at home (ACTRN12616000051448). A therapist remotely monitored exercise adherence, progressed goals, and provided feedback via the app. Measures of feasibility (design, recruitment/withdrawals, adherence, safety, participant satisfaction and estimates of effect on function) were collected. Results: Participants' mean age was 73.6 years [SD 9.9 years]. The system was feasible to deliver and monitor exercise remotely. All participants completed the study performing a mean 125% of prescribed sessions and 104% of prescribed repetitions. Participants rated the system usability (78%), enjoyment (70%) and system benefit (80%) as high. No adverse events were reported. The mean pre- and post-intervention difference in the total short performance physical battery score was 1.4 (95% CI 0.79, 2.00). Conclusions: It was feasible and safe to prescribe and monitor exercises using an app and sensor-based system. A definitive trial will determine whether such technology could facilitate greater exercise participation after stroke.

Background. Exercise after stroke improves cardiorespiratory fitness and walking capacity; however, the effect of altering exercise dose (via frequency, intensity, time, and type) on fitness or walking capacity is unclear. Purpose. The purpose of this study was to synthesize the current evidence for the effects of different doses of exercise on cardiorespiratory fitness and walking capacity in people after stroke. Data Sources. Seven relevant electronic databases were searched using keywords relating to stroke and cardiorespiratory fitness. Study Selection. Trials that compared more than 1 dose of exercise for people (? 18 years old) after stroke and measured peak oxygen consumption or 6-minute walk test distance as an outcome were included. Two reviewers independently appraised all trials. Data Extraction. Two reviewers independently extracted data from included articles. Intervention variables were extracted in accordance with the Template for Intervention Description and Replication checklist. Data Synthesis. Data were synthesized narratively. Nine trials involving 279 participants were included. Three of 5 trials comparing exercise intensity showed that higherintensity training was associated with greater improvements in cardiorespiratory fitness. The effects of other exercise dose components (frequency, time, and type) on fitness were not determined. Overall, walking capacity improved as program length increased. Limitations. All trials had a high risk of bias, and most had a high rate of attrition. Most trials included people more than 6 months after stroke and who walked independently, limiting the generalizability of the findings. Conclusions. Exercising at an intensity greater than 70% of heart rate reserve can be more effective in increasing cardiorespiratory fitness after stroke than exercising at lower intensities. More trials that compare exercise doses by manipulating only 1 dose parameter at a time for people after stroke are needed.

Background: Accessing suitable fitness programs post-stroke is difficult for many. The feasibility of telehealth delivery has not been previously reported. Objectives: To assess the feasibility of, and level of satisfaction with home-based telehealth-supervised aerobic exercise training post-stroke. Methods: Twenty-one ambulant participants (= 3 months post-stroke) participated in a home-based telehealth-supervised aerobic exercise program (3 d/week, moderate-vigorous intensity, 8-weeks) and provided feedback via questionnaire post-intervention. Session details, technical issues, and adverse events were also recorded. Results: Feasibility was high (83% of volunteers met telehealth eligibility criteria, 85% of sessions were conducted by telehealth, and 95% of participants rated usability favourably). Ninety-five percent enjoyed telehealth exercise sessions and would recommend them to others. The preferred telehealth exercise program parameters were: frequency 3 d/week, duration 20-30 min/session, program length 6-12 weeks. Conclusion: The telehealth delivery of exercise sessions to people after stroke appears feasible and may be considered as a viable alternative delivery means for providing supervised exercise post-stroke.

Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke. Objective: This study aimed to identify factors associated with high sedentary time in community-dwelling people with stroke. Methods: For this data pooling study, authors of published and ongoing trials that collected sedentary time data, using the activPAL monitor, in community-dwelling people with stroke were invited to contribute their raw data. The data was reprocessed, algorithms were created to identify sleep-wake time and determine the percentage of waking hours spent sedentary. We explored demographic and stroke-related factors associated with total sedentary time and time in uninterrupted sedentary bouts using unique, both univariable and multivariable, regression analyses. Results: The 274 included participants were from Australia, Canada, and the United Kingdom, and spent, on average, 69% (SD 12.4) of their waking hours sedentary. Of the demographic and stroke-related factors, slower walking speeds were significantly and independently associated with a higher percentage of waking hours spent sedentary (p = 0.001) and uninterrupted sedentary bouts of >30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11¿19% of the variance in total sedentary time and time in prolonged sedentary bouts. Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.

Introduction: Having a low level of physical activity is an established risk factor for stroke, but little is known about the importance of common sedentary behavior¿television viewing¿to stroke risk. Methods: We conducted a retrospective analysis of data that were collected as part of the longitudinal Australian Diabetes, Obesity, and Lifestyle study. Stroke events reported during the study (between baseline assessment in 1999-2000 and April 2011) were confirmed using adjudication based on medical records. Baseline data on minutes per week spent watching television were used as the exposure variable. Other variables were collected in assessments at wave 2 (2004-05) and wave 3 (2011-2012). Univariable and multivariable logistic regression analyses were performed. Results: Among the full Australian Diabetes, Obesity, and Lifestyle study population (n = 11,247), there were 153 participants with confirmed stroke during the study period, and 9207 participants with no stroke in this period. Participants who went on to have their first stroke during the study had significantly higher levels of TV viewing time at baseline than those who did not have a stroke (P =.001). This association was not present (P =.83), however, when age and sex were included in the regression model. Conclusion: In the Australian Diabetes, Obesity, and Lifestyle study dataset, there was no evidence that more TV viewing is independently associated with risk of stroke, although analyses may have been underpowered.

Objective: The prevalence of post-stroke fatigue differs widely across studies, and reasons for such divergence are unclear. We aimed to collate individual data on post-stroke fatigue from multiple studies to facilitate high-powered meta-analysis, thus increasing our understanding of this complex phenomenon. Methods: We conducted an Individual Participant Data (IPD) meta-analysis on post-stroke fatigue and its associated factors. The starting point was our 2016 systematic review and meta-analysis of post-stroke fatigue prevalence, which included 24 studies that used the Fatigue Severity Scale (FSS). Study authors were asked to provide anonymised raw data on the following pre-identified variables: (i) FSS score, (ii) age, (iii) sex, (iv) time post-stroke, (v) depressive symptoms, (vi) stroke severity, (vii) disability, and (viii) stroke type. Linear regression analyses with FSS total score as the dependent variable, clustered by study, were conducted. Results: We obtained data from 14 of the 24 studies, and 12 datasets were suitable for IPD meta-analysis (total n = 2102). Higher levels of fatigue were independently associated with female sex (coeff. = 2.13, 95% CI 0.44¿3.82, p = 0.023), depressive symptoms (coeff. = 7.90, 95% CI 1.76¿14.04, p = 0.021), longer time since stroke (coeff. = 10.38, 95% CI 4.35¿16.41, p = 0.007) and greater disability (coeff. = 4.16, 95% CI 1.52¿6.81, p = 0.010). While there was no linear association between fatigue and age, a cubic relationship was identified (p < 0.001), with fatigue peaks in mid-life and the oldest old. Conclusion: Use of IPD meta-analysis gave us the power to identify novel factors associated with fatigue, such as longer time since stroke, as well as a non-linear relationship with age.

Background: Stroke survivors sit for long periods each day. Uninterrupted sitting is associated with increased risk of cardiovascular disease. Breaking up uninterrupted sitting with frequent, short bouts of light-intensity physical activity has an immediate positive effect on blood pressure and plasma clotting factors in healthy, overweight, and type 2 diabetic populations. Aim: We examined the effect of frequent, short bouts of light-intensity physical activity on blood pressure and plasma fibrinogen in stroke survivors. Methods: Prespecified secondary analyses from a three-armed randomized, within-participant, crossover trial. Participants were 19 stroke survivors (nine female, aged 68 years old, 90% able to walk independently). The experimental conditions were sitting for 8 h uninterrupted, sitting with 3 min bouts of light-intensity exercise while standing every 30 min, or sitting with 3 min of walking every 30 min. Blood pressure was measured every 30 min over 8 h and plasma fibrinogen at the beginning, middle, and end of each day. Intention-to-treat analyses were performed using linear mixed models including fixed effects for condition, period, and order, and a random intercept for participant to account for repeated measures and missing data. Results: Sitting with 3 min bouts of light-intensity exercise while standing every 30 min decreased systolic blood pressure by 3.5 mmHg (95% CI 1.7¿5.4) compared with sitting for 8 h uninterrupted. For participants not taking antihypertensive medications, sitting with 3 min of walking every 30 min decreased systolic blood pressure by 5.0 mmHg (95% CI -7.9 to 2.0) and sitting with 3 min bouts light-intensity exercise while standing every 30 min decreased systolic blood pressure by 4.2 mmHg (95% CI -7.2 to -1.3) compared with sitting for 8 h uninterrupted. There was no effect of condition on diastolic blood pressure (p = 0.45) or plasma fibrinogen levels (p = 0.91). Conclusion: Frequent, short bouts of light-intensity physical activity decreases systolic blood pressure in stroke survivors. However, before translation into clinical practice, the optimal duration and timing of physical activity bouts needs to be determined. Clinical trial registration: Australian and New Zealand Clinical Trials Registry http://www.anzctr.org.au ANZTR12615001189516.

Objectives: People with stroke sit for long periods each day, which may compromise blood glucose control and increase risk of recurrent stroke. Studies in other populations have found regular activity breaks have a significant immediate (within-day) positive effect on glucose metabolism. We examined the effects of breaking up uninterrupted sitting with frequent, short bouts of light-intensity physical activity in people with stroke on post-prandial plasma glucose and insulin. Methods: Randomized within-participant crossover trial. We included people between 3 months and 10 years post-stroke, ambulant with minimal assistance and not taking diabetic medication other than metformin. The three experimental conditions (completed in random order) were: sitting for 8 h uninterrupted, sitting with 3 min bouts of light-intensity exercise while standing every 30 min, or sitting with 3 min of walking every 30 min. Meals were standardized and bloods were collected half- to one-hourly via an intravenous cannula. Results: A total of 19 participants (9 female, mean [SD] age 68.2 [10.2]) completed the trial. The majority (n = 12, 63%) had mild stroke symptoms (National Institutes of Stroke Scale score 0¿13). There was no significant effect of experimental condition on glucose (mean [SD] positive incremental area [+iAUC] mmol·L·h-1 under the curve during sitting 42.3 [29.5], standing 47.4 [23.1], walking 44.6 [26.5], p = 0.563) or insulin (mean + iAUC pmol·L·h-1 sitting 14,161 [7,560], standing 14,043 [8,312], walking 14,008 [8,269], p = 0.987). Conclusion: Frequent, short bouts of light-intensity physical activity did not have a significant effect on post-prandial plasma glucose and insulin in this sample of people with stroke. Further studies are needed to identify strategies that improve inactivity-related glucose metabolism after stroke.

Background Exercise has established benefits following stroke. We aimed to describe self-reported exercise 5 and 10 years after stroke, change in exercise over time, and to identify factors associated with long-term exercise. Methods Data on exercise (defined as 20 minutes' duration, causing sweating and increased heart rate) were obtained by questionnaire from a population-based stroke incidence study with 10-year follow-up. For change in exercise between 5 and 10 years (n = 276), we created 4 categories of exercise (no exercise, ceased exercising, commenced exercising, continued exercising). Multinomial regression determined associations between exercise categories and exercising before stroke, receiving exercise advice and functional ability and demographic factors. Results The prevalence of exercise at 5 years (n = 520) was 18.5% (n = 96) (mean age 74.7 [standard deviation {SD} 14] years, 50.6% male) and 24% (n = 78) at 10 years. In those with data at both 5 and 10 years (mean age 69 [standard deviation 14] years, 52.9% male), 15% (n = 42) continued exercising, 10% (n = 27) commenced exercising, 14% (n = 38) ceased exercising, and 61% (n = 169) reported no exercise. Continued exercise was associated with younger age (relative risk [RR].47 95% confidence interval [CI].25-0.89), greater Barthel score (RR 2.97 95% CI 1.00-8.86), independent walking (RR 2.32 95% CI 1.16-4.68), better quality of life (RR 10.9 95% CI 2.26-52.8), exercising before stroke (RR 16.0 95%CI 4.98-51.5), and receiving advice to exercise (RR 2.99 95% CI 1.73-5.16). Conclusions Few people exercise after stroke and fewer commence exercise long term. Innovative interventions to promote and maintain exercise are required after stroke.

Finding, testing and demonstrating efficacy of new treatments for stroke recovery is a multifaceted challenge. We believe that to advance the field, neurorehabilitation trials need a conceptually rigorous starting framework. An essential first step is to agree on definitions of sensorimotor recovery and on measures consistent with these definitions. Such standardization would allow pooling of participant data across studies and institutions aiding meta-analyses of completed trials, more detailed exploration of recovery profiles of our patients and the generation of new hypotheses. Here, we present the results of a consensus meeting about measurement standards and patient characteristics that we suggest should be collected in all future stroke recovery trials. Recommendations are made considering time post stroke and are aligned with the international classification of functioning and disability. A strong case is made for addition of kinematic and kinetic movement quantification. Further work is being undertaken by our group to form consensus on clinical predictors and pre-stroke clinical data that should be collected, as well as recommendations for additional outcome measurement tools. To improve stroke recovery trials, we urge the research community to consider adopting our recommendations in their trial design.

Introduction: Attitudes are recognized as influencing research implementation. However, little is known about the process by which physiotherapists¿ attitudes and beliefs shape their use of 7-day per week therapy and circuit class therapy research findings. Understanding beliefs may assist in addressing barriers to research uptake. Methods: Fifteen physiotherapists from six rehabilitation centers who ranged in seniority, experience, and education levels consented to be interviewed. The transcribed interviews were analyzed using a qualitative content analysis drawing on the Theory of Planned Behavior. Findings: Participants felt that they had autonomy in adopting new approaches when the evidence was supported by social norms. Participants believed that 7-day per week therapy delivers a seamless service that increases physiotherapy time, which helps maintain patient improvement, but needs to accommodate patient choice and expectations. Circuit class therapy was viewed positively as it provides more physiotherapy time, increases patient social interaction, and motivation. However, this was qualified by a belief that patients would not receive individualized, quality of movement focused therapy, particularly for patients with limited capacities. Conclusion: Implementation of a new approach depends on the past experience, coherence with individual beliefs regarding important elements of therapy content, and opportunities to control barriers to implementation.

Questions: Among people receiving inpatient rehabilitation after stroke, does additional weekend physiotherapy and/or occupational therapy reduce the length of rehabilitation hospital stay compared to those who receive a weekday-only service, and does this change after controlling for individual factors? Does additional weekend therapy improve the ability to walk and perform activities of daily living, measured at discharge? Does additional weekend therapy improve health-related quality of life, measured 6 months after discharge from rehabilitation? Which individual, clinical and hospital characteristics are associated with shorter length of rehabilitation hospital stay? Design: This study pooled individual data from two randomised, controlled trials (n = 350) using an individual patient data meta-analysis and multivariate regression. Participants: People with stroke admitted to inpatient rehabilitation facilities. Intervention: Additional weekend therapy (physiotherapy and/or occupational therapy) compared to usual care (5 days/week therapy). Outcome measures: Length of rehabilitation hospital stay, independence in activities of daily living measured with the Functional Independence Measure, walking speed and health-related quality of life. Results: Participants who received weekend therapy had a shorter length of rehabilitation hospital stay. In the un-adjusted analysis, this was not statistically significant (MD -5.7 days, 95% CI -13.0 to 1.5). Controlling for hospital site, age, walking speed and Functional Independence Measure score on admission, receiving weekend therapy was significantly associated with a shorter length of rehabilitation hospital stay (ß = 7.5, 95% CI 1.7 to 13.4, p = 0.001). There were no significant between-group differences in Functional Independence Measure scores (MD 1.9 points, 95% CI -2.8 to 6.6), walking speed (MD 0.06 m/second, 95% CI -0.15 to 0.04) or health-related quality of life (SMD -0.04, 95% CI -0.26 to 0.19) at discharge. Discussion: Modest evidence indicates that additional weekend therapy might reduce rehabilitation hospital length of stay. Clinical Trial Registration: ACTRN12610000096055, ACTRN12609000973213. [English C, Shields N, Brusco NK, Taylor NF, Watts JJ, Peiris C, et al. (2016) Additional weekend therapy may reduce length of rehabilitation stay after stroke: a meta-analysis of individual patient data. Journal of Physiotherapy 62: 124-129].

Background: Fatigue is a common and debilitating symptom after stroke. The last decade has seen rapid expansion of the research literature on post-stroke fatigue, but prevalence remains unclear. Aims: To estimate post-stroke fatigue prevalence and to identify the contributing factors to fatigue, by conducting a systematic review and meta-analysis. Summary of review: We included all studies of adult stroke survivors that used a recognized assessment scale for fatigue (search date September 2014). Two reviewers independently reviewed all full texts for inclusion. Data were extracted by one reviewer and independently cross-checked by a second. Risk of bias was evaluated using a critical appraisal tool. From an overall yield of 921 studies, 101 full text papers were screened, and 49 of these met inclusion criteria. The most widely used measure of fatigue was the Fatigue Severity Scale (n = 24 studies). Prevalence estimates at a cut-off score of > or = 4 were available for 22 of these 24 studies (total n = 3491), and ranged from 25 to 85%. In random effects meta-analysis, the pooled prevalence estimate was 50% (95% CI 43¿57%), with substantial heterogeneity (I2 = 94%). Neither depression status nor time point post-stroke explained the heterogeneity between studies. In post-hoc analysis, fatigue prevalence was found to be lower in the four Asian studies (35%; 95% CI 20¿50; I2 = 96%). Conclusions: Our results confirm that fatigue is a widespread issue for stroke survivors, although it may be less prevalent in Asia. Further research is needed to explain the wide variability in prevalence estimates between studies.

Background: To determine whether alternating bouts of sitting and standing at work influences daily workplace energy expenditure (EE). Methods: Twenty-three overweight/obese office workers (mean ± SD; age: 48.2 ± 7.9 y, body mass index: 29.6 ± 4.0 kg/m2) undertook two 5-day experimental conditions in an equal, randomized order. Participants wore a "metabolic armband" (SenseWear Armband Mini) to estimate daily workplace EE (KJ/8 h) while working (1) in a seated work posture (SIT condition) or (2) alternating between a standing and seated work posture every 30 minutes using a sit-stand workstation (STAND-SIT condition). To assess the validity of the metabolic armband, a criterion measure of acute EE (KJ/min; indirect calorimetry) was performed on day 4 of each condition. Results: Standing to work acutely increased EE by 0.7 [95% CI 0.3-1.0] KJ/min (13%), relative to sitting (P =.002). Compared with indirect calorimetry, the metabolic armband provided a valid estimate of EE while standing to work (mean bias: 0.1 [-0.3 to 0.4] KJ/min) but modestly overestimated EE while sitting (P =.005). Daily workplace EE was greatest during the STAND-SIT condition (mean condition difference [95% CI]: 76 [8-144] KJ/8-h workday, P =.03). Conclusions: Intermittent standing at work can modestly increase daily workplace EE compared with seated work in overweight/obese office workers.

Objective This study aimed to evaluate the preliminary effectiveness and feasibility of a theory-informed program to reduce sitting time in older adults. Design Pre-experimental (pre-post) study. Thirty non-working adult (=60 years) participants attended a one hour face-to-face intervention session and were guided through: a review of their sitting time; normative feedback on sitting time; and setting goals to reduce total sitting time and bouts of prolonged sitting. Participants chose six goals and integrated one per week incrementally for six weeks. Participants received weekly phone calls. Outcome measures Sitting time and bouts of prolonged sitting (=30 min) were measured objectively for seven days (activPAL3c inclinometer) pre- and post-intervention. During these periods, a 24-h time recall instrument was administered by computer-assisted telephone interview. Participants completed a post-intervention project evaluation questionnaire. Paired t tests with sequential Bonferroni corrections and Cohen's d effect sizes were calculated for all outcomes. Results Twenty-seven participants completed the assessments (71.7 ± 6.5 years). Post-intervention, objectively-measured total sitting time was significantly reduced by 51.5 min per day (p = 0.006; d = -0.58) and number of bouts of prolonged sitting by 0.8 per day (p = 0.002; d = -0.70). Objectively-measured standing increased by 39 min per day (p = 0.006; d = 0.58). Participants self-reported spending 96 min less per day sitting (p < 0.001; d = -0.77) and 32 min less per day watching television (p = 0.005; d = -0.59). Participants were highly satisfied with the program. Conclusion The 'Small Steps' program is a feasible and promising avenue for behavioral modification to reduce sitting time in older adults.

Purpose: To explore stroke survivors perspectives of two novel models of inpatient physiotherapy, which provide an increased amount of therapy: five days a week circuit class therapy and seven days a week individual therapy. Method: This is a qualitative descriptive study using semi-structured interviews and thematic analysis. The participants were 10 purposively sampled stroke survivors in the post-acute phase of recovery, who had experienced seven days a week individual therapy or five days a week circuit group therapy during inpatient rehabilitation. Results: Three main themes emerged from the data: Too much, too little or just right; My experience - alone and together; and Meeting my needs. Findings revealed considerable variety in participants beliefs, priorities and preferences regarding how intensely they could work; their experience of success and challenge individually and collectively; and their need to have their own unique individual needs met. Lack of choice seemed to be a linking concept between the themes. Conclusion: In order to provide patient-centred services, novel methods of increased therapy must take into consideration the individual needs and preferences of the people accessing them. One model may not meet all these needs, hence a "menu" of options for therapy sessions (different timing, frequency, duration, content, rest and supervision) may be required to accommodate the diversity of patient needs, preferences and capacities.Implications for RehabilitationPeople with stroke have diverse needs and preferences regarding the modes of delivering more therapy during rehabilitation.These diverse needs may not be met by one rigid service model.Therapists and service providers could engage their clients in a dialogue about the need for more therapy and how it can be delivered.This dialogue could include options of the various ways to increase their therapy.Therapists need to provide clear reasons and education around therapy components, including rest time and practice schedules.