Physiotherapy - Research Publications
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ItemMeasuring Activity Levels at an Acute Stroke Ward: Comparing Observations to a Device(HINDAWI LTD, 2013)BACKGROUND: If a simple system of instrumented monitoring was possible early after stroke, therapists may be able to more readily gather information about activity and monitor progress over time. Our aim was to establish whether a device containing a dual-axis accelerometer provides similar information to behavioural mapping on physical activity patterns early after stroke. METHODS: Twenty participants with recent stroke ≤ 2 weeks and aged >18 were recruited and monitored at an acute stroke ward. The monitoring device (attached to the unaffected leg) and behavioural mapping (observation) were simultaneously applied from 8 a.m. to 5 p.m. Both methods recorded the time participants spent lying, sitting, and upright. RESULTS: The median percentage and interquartile range (IQR) of time spent lying, sitting, and upright recorded by the device were 36% (15-68), 51% (28-72), and 2% (1-5), respectively. Agreement between the methods was substantial: Intraclass Correlation Coefficient (95% CI): lying 0.74 (0.46-0.89), sitting 0.68 (0.36-0.86), and upright 0.72 (0.43-0.88). CONCLUSION: Patients are inactive in an acute stroke setting. In acute stroke, estimates of time spent lying, sitting, and upright measured by a device are valid.
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ItemExercise Preferences Are Different after Stroke(HINDAWI LTD, 2012)Objective. To explore exercise preferences in stroke survivors and controls. Methods. A novel scale-the Exercise Preference Questionnaire-was developed for this study. This questionnaire, together with established assessments of physical activities, mood, and quality of life, was completed in a single assessment session. Results. Twenty-three adult stroke survivors (mean age 63, 65% male) and 41 healthy controls (mean age 61, 66% male) participated. The groups differed on 4 of the 5 a priori exercise preference factors: relative to controls, stroke survivors preferred exercise to be more structured, in a group, at a gym or fitness centre, and for exercises to be demonstrated. Factor analysis yielded 6 data-driven factors, and these factors also differentiated stroke and control groups. There was evidence that group differences were diminished when activity levels and psychological wellbeing were accounted for. Individual variability in exercise preferences and reported barriers to exercise are outlined. Conclusion. Stroke survivors have different exercise preferences, and a better understanding of these preferences can be used to inform rehabilitation programs and increase adherence.