https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33280 -1. An additional 17 healthy control participants were recruited. Cardiorespiratory fitness (CRF) was measured using oxygen consumption (VO_2peak), and additional measures of walking speed (m s^-1), leg strength and body composition were also assessed. Differences between groups were assessed by matched pairs t-tests. Effect sizes were calculated using Cohen's d. Results: There were no significant differences in age, BMI, muscle mass or body fat between groups (p > 0.05). Peak VO₂ was lower in the stroke group for the shuttle walk test (p = 0.037) and progressive cycle test (p = 0.019), as were all CRF test performance measures (p < 0.05). Stroke survivors walked significantly (p < 0.001) slower at both self-selected and fast speeds. Effect sizes of group differences for all leg strength variables were medium to large, with peak torque lower in the stroke group for all trials. Conclusions: Despite being independently ambulant and community dwelling, the CRF, walking speed and leg strength of this group were reduced compared to non-stroke comparison participants. These patients may benefit from undertaking targeted exercise programmes.]]> Wed 19 Jan 2022 15:16:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26679 Wed 11 Apr 2018 11:07:31 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49294 Wed 10 May 2023 13:55:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49612 Tue 06 Jun 2023 15:20:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37899 Thu 17 Jun 2021 15:24:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30146 Thu 13 Jan 2022 10:31:15 AEDT ]]> https://nova.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 ]]> https://nova.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 ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49173 Fri 05 May 2023 15:37:24 AEST ]]>