Physiotherapy - Research Publications

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    Validity of Multisensor Array for Measuring Energy Expenditure of an Activity Bout in Early Stroke Survivors
    Kramer, SF ; Johnson, L ; Bernhardt, J ; Cumming, T (HINDAWI LTD, 2018)
    Introduction. Stroke survivors use more energy than healthy people during activities such as walking, which has consequences for the way exercise is prescribed for stroke survivors. There is a need for wearable device that can validly measure energy expenditure (EE) of activity to inform exercise prescription early after stroke. We aimed to determine the validity and reliability of the SenseWear-Armband (SWA) to measure EE and step-counts during activity <1 month after stroke. Materials and Methods. EE was measured using the SWA and metabolic cart and steps-counts were measured using the SWA and direct observation. Based on walking ability, participants performed 2x six-minute walks or repeated sit-to-stands. Concurrent validity and test-retest reliability were determined by calculating intraclass and concordance correlation coefficients. Results and Discussion. Thirteen participants walked; nine performed sit-to-stands. Validity of the SWA measuring EE for both activities was poor (ICC/CCC < 0.40). The SWA overestimates EE during walking and underestimated EE during sit-to-stands. Test-retest agreement showed an ICC/CCC of <0.40 and >0.75 for walking and sit-to-stand, respectively. However, agreement levels changed with increasing EE levels (i.e., proportional bias). The SWA did not accurately measure step-counts. Conclusion. The SWA should be used with caution to measure EE of activity of mild to moderate stroke survivors <1 month after stroke.
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    How are early post-stroke exercise interventions developed? A systematic review
    Kramer, S ; Kaffenberger, T ; Cumming, T ; Bernhardt, J ; Johnson, L (SAGE PUBLICATIONS LTD, 2018-08)
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    Measuring Activity Levels at an Acute Stroke Ward: Comparing Observations to a Device
    Kramer, SF ; Cumming, T ; Churilov, L ; Bernhardt, J (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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    Exercise Preferences Are Different after Stroke
    Banks, G ; Bernhardt, J ; Churilov, L ; Cumming, TB (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.
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    Early Mobilization After Stroke Early Adoption but Limited Evidence
    Bernhardt, J ; English, C ; Johnson, L ; Cumming, TB (LIPPINCOTT WILLIAMS & WILKINS, 2015-04)