https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 The Oxford Cognitive Screen for use with Australian people after stroke (OCS-AU): The adaptation process and determining cut scores for cognitive impairment using a cross-sectional normative study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50323 Wed 28 Feb 2024 16:19:08 AEDT ]]> Mechanisms of Post-Stroke Fatigue: A Follow-Up From the Third Stroke Recovery and Rehabilitation Roundtable https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54326 Wed 28 Feb 2024 15:19:22 AEDT ]]> A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54154 Wed 28 Feb 2024 15:02:37 AEDT ]]> Co-Designed Cardiac Rehabilitation for the Secondary Prevention of Stroke (CARESS): A Pilot Program Evaluation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55298 Tue 14 May 2024 17:50:48 AEST ]]> EXPRESS: A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54146 Tue 06 Feb 2024 12:04:28 AEDT ]]> "Connecting patients and therapists remotely using technology is feasible and facilitates exercise adherence after stroke" https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37899 Thu 17 Jun 2021 15:24:15 AEST ]]> Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies. https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35820 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.]]> Thu 13 Jan 2022 10:29:49 AEDT ]]> Factors influencing sedentary time and physical activity early after stroke: a qualitative study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43639 Mon 26 Sep 2022 16:36:52 AEST ]]> Sedentary time and activity behaviors after stroke rehabilitation: changes in the first 3 months home https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46393 p = .01), 21 minutes more walking (95%CI 2,22 p = .02) and completed 1112 additional steps/day (95%CI 268,1956 p = .01), compared to the first week home. No factors predicted change in activity. At 3 months, greater depression (β 22 mins (95%CI 8,36) p = .004) and slower gait speed (β − 43 mins 95%CI −59,-27 p ≤ 0.001) were associated with more sedentary time and less walking activity, respectively. Conclusions: Sedentary time reduced and walking activity increased between discharge home and 3 months later. Interventions targeting mood and physical function may warrant testing to reduce sedentary behavior 3 months following discharge.]]> Mon 21 Nov 2022 14:45:55 AEDT ]]> Mobility-Focused Physical Outcome Measures Over Telecommunication Technology (Zoom): Intra and Interrater Reliability Trial https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53268 Mon 20 Nov 2023 12:48:48 AEDT ]]> An Exploration of sedentary behavior patterns in community-dwelling people with stroke: a cluster-based analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40264 Mon 08 Aug 2022 13:40:25 AEST ]]> Sedentary time and physical activity patterns of stroke survivors during the inpatient rehabilitation week https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46860 n = 29) wore an activity monitor continuously during the final 7-days of inpatient rehabilitation. Linear mixed models (adjusted for waking hours) were performed with activity (sedentary, steps per day, walking time) as the dependent variable, and day type (weekday or weekend) as the independent variable. Patterns of upright time during the 24-h period were determined by averaging daily activity in 60-min intervals and generating a heat map of activity levels as a function of time. Participant mean age was 69 (SD 13) years (52% male) and mean National Institutes of Health Stroke Scale score was 7.0 (SD, 5.5). There was no significant difference in sedentary time between weekdays and weekends. At the weekend, participants spent 8.4 min less time walking (95% CI, -12.1 to -4.6) taking 624 fewer steps/day (95% CI, -951 to -296) than during the week. Activity patterns showed greatest upright time in the morning during the week. Afternoon and evening activities were low on all days. Sedentary time did not change across the 7-day rehabilitation week, but less walking activity occurred on the weekend. There are opportunities for stroke survivors to increase physical activity during afternoons and evenings and on weekend mornings during rehabilitation.]]> Mon 05 Dec 2022 08:23:39 AEDT ]]> Activity monitors for increasing physical activity in adult stroke survivors (review) https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35090 Fri 30 Aug 2019 17:12:47 AEST ]]> Go Home, Sit Less: The Impact of Home Versus Hospital Rehabilitation Environment on Activity Levels of Stroke Survivors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45704 Fri 04 Nov 2022 08:49:08 AEDT ]]>