Associate Professor Coralie English

© 2018 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.

© 2018 Excessive sitting is detrimentally associated with cardiovascular disease and all-cause mortality. Frequent breaks in prolonged sitting can improve cardiometabolic responses in non-stroke populations. However, this has not been established in stroke survivors. This study will determine the most effective dose of activity breaks that (i) produce clinically meaningful improvements in mean systolic blood pressure (primary outcome), postprandial glucose, and insulin responses (secondary outcomes), and (ii) is safe and feasible. We hypothesis that systolic blood pressure, postprandial insulin, and glucose responses will improve with increasing doses of activity and be most effective at the maximum safe and feasible dose of activity. Thirty participants in the most effective dose will provide 80% power to detect a within-person, between-condition, difference of 3.5 mmHg in systolic blood pressure assuming a SD of 15 mmHg, within-person correlation of 0.9, and a = 0.05. Stroke survivors will complete 3 experimental conditions in a within-participant, dose escalation design including (i) uninterrupted sitting (8 h), (ii) Dose 1: uninterrupted sitting with bouts of light-intensity exercises while standing (initial dose involves two 5-min breaks), and (iii) Dose 2: two additional 5-min breaks above Dose 1. Ambulatory blood pressure will be collected every 30 min during experimental conditions and hourly for 24-h post-experimental conditions. Blood samples will be collected every 30 min during 2-h postprandial periods. This study will identify the most effective dose of light-intensity exercises while standing to improve cardiometabolic responses in stroke survivors.

© 2018 Elsevier Inc. 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.

© 2017 National Stroke Association 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.

© 2017, © 2017 World Stroke Organization. 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.

© 2017 Taylor & Francis. 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.

© 2016 Australian Physiotherapy Association. 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].

© 2016, © 2016 World Stroke Organization. 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.