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.

An Exploration of Sedentary Behavior Patterns in Community-Dwelling People With Stroke: A Cluster-Based Analysis.

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).

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.

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.

Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.

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.

Exercise interventions in healthy older adults with sarcopenia: A systematic review and meta-analysis.

OBJECTIVE: To systematically assess the effects of exercise interventions on body composition and functional outcomes in older adults with sarcopenia. METHODS: PubMed/Medline, Embase and Cochrane Library were searched from 2006 to 2017 for exercise randomised controlled trials and controlled clinical trials in adults 60 years and older with sarcopenia. Preferred Reporting Items for Systematic Review and Meta-Analysis protocol (PRISMA-P) and Physiotherapy Evidence Database (PEDro) scale assessed internal validity. Meta-analysis and sensitivity analysis were performed. RESULTS: Searches retrieved 1512 titles. Thirty-two full texts were evaluated, and six trials were included. Methodological quality was 5.5 (0-10). Meta-analysis revealed that knee-extension strength (P ≤ 0.01), timed up and go (P < 0.0001), appendicular muscle mass (P = 0.04) and leg muscle mass (P = 0.04) significantly improved in response to exercise interventions. CONCLUSIONS: Exercise interventions significantly improved strength, balance and muscle mass. However, the number of trials was small and the training effect was inconsistent due to heterogeneity in exercise mode, duration and intensity. Lack of detailed description makes it impossible to reflect on the progressive resistance training approaches used. More research is needed to confirm these findings.