Physiotherapy - Research Publications
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ItemDoes left ventricular hypertrophy affect cognition and brain structural integrity in type 2 diabetes? Study design and rationale of the Diabetes and Dementia (D2) study(BMC, 2017-04-07)BACKGROUND: Cognitive impairment is common in type 2 diabetes mellitus, and there is a strong association between type 2 diabetes and Alzheimer's disease. However, we do not know which type 2 diabetes patients will dement or which biomarkers predict cognitive decline. Left ventricular hypertrophy (LVH) is potentially such a marker. LVH is highly prevalent in type 2 diabetes and is a strong, independent predictor of cardiovascular events. To date, no studies have investigated the association between LVH and cognitive decline in type 2 diabetes. The Diabetes and Dementia (D2) study is designed to establish whether patients with type 2 diabetes and LVH have increased rates of brain atrophy and cognitive decline. METHODS: The D2 study is a single centre, observational, longitudinal case control study that will follow 168 adult patients aged >50 years with type 2 diabetes: 50% with LVH (case) and 50% without LVH (control). It will assess change in cardiovascular risk, brain imaging and neuropsychological testing between two time-points, baseline (0 months) and 24 months. The primary outcome is brain volume change at 24 months. The co-primary outcome is the presence of cognitive decline at 24 months. The secondary outcome is change in left ventricular mass associated with brain atrophy and cognitive decline at 24 months. DISCUSSION: The D2 study will test the hypothesis that patients with type 2 diabetes and LVH will exhibit greater brain atrophy than those without LVH. An understanding of whether LVH contributes to cognitive decline, and in which patients, will allow us to identify patients at particular risk. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ( ACTRN12616000546459 ), date registered, 28/04/2016.
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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.
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ItemThe Missing Medians: Exclusion of Ordinal Data from Meta-Analyses(PUBLIC LIBRARY SCIENCE, 2015-12-23)BACKGROUND: Meta-analyses are considered the gold standard of evidence-based health care, and are used to guide clinical decisions and health policy. A major limitation of current meta-analysis techniques is their inability to pool ordinal data. Our objectives were to determine the extent of this problem in the context of neurological rating scales and to provide a solution. METHODS: Using an existing database of clinical trials of oral neuroprotective therapies, we identified the 6 most commonly used clinical rating scales and recorded how data from these scales were reported and analysed. We then identified systematic reviews of studies that used these scales (via the Cochrane database) and recorded the meta-analytic techniques used. Finally, we identified a statistical technique for calculating a common language effect size measure for ordinal data. RESULTS: We identified 103 studies, with 128 instances of the 6 clinical scales being reported. The majority- 80%-reported means alone for central tendency, with only 13% reporting medians. In analysis, 40% of studies used parametric statistics alone, 34% of studies employed non-parametric analysis, and 26% did not include or specify analysis. Of the 60 systematic reviews identified that included meta-analysis, 88% used mean difference and 22% employed difference in proportions; none included rank-based analysis. We propose the use of a rank-based generalised odds ratio (WMW GenOR) as an assumption-free effect size measure that is easy to compute and can be readily combined in meta-analysis. CONCLUSION: There is wide scope for improvement in the reporting and analysis of ordinal data in the literature. We hope that adoption of the WMW GenOR will have the dual effect of improving the reporting of data in individual studies while also increasing the inclusivity (and therefore validity) of meta-analyses.