Methods: Forty stroke survivors were recruited (20 with DPN and 20 without DPN) in this cross-sectional study design. Instrumented timed up and go (iTUG) tests were conducted in three different tasking conditions (single task, dual motor and dual cognitive). APDM® Mobility Lab system was used to capture the gait parameters during the iTUG tests. A two-way mixed analysis of variance was used to determine the main effects of gait performance on three taskings during the iTUG test.
Results: Spatiotemporal gait parameters and turning performance (turning time and turning step times) were more affected by the tasking conditions in stroke survivors with DPN compared to those without DPN (P < 0.05).
Conclusion: Stroke survivors with DPN had difficulty walking while turning and performing a secondary task simultaneously.
METHODS: This cross-sectional observational study included 75 older adults who were at least 3 months poststroke and 50 age-matched healthy controls. Depressive symptoms were quantified using the World Health Organization Quality of Life Brief version (WHOQoL-BREF). Physical function was examined using Functional Ambulation Category, grip strength, 5 times Sit-to-Stand test, and Box and Block tests. The Montreal Cognitive Assessment and visual-manual reaction time were used to index cognitive function. Depressive symptom was quantified using the Patient Health Questionnaire-9. The Barthel Index and Fatigue Severity Scale were used to quantify activity limitation. Social participation and environmental participation were assessed using the Assessment of Life Habit and Craig Hospital Inventory of Environment Factors, respectively. Linear stepwise regression models were used to determine explanators for WHOQoL-BREF domain scores.
RESULTS: Individuals with stroke demonstrated significantly worse QoL on all WHOQoL-BREF domains compared with healthy controls. Stroke was a strong determinant for QoL and explained 16% to 43% of variances. Adding other outcome measures significantly improved the robustness of the models (R change = 12%-32%). The physical, psychological, social, and environmental domains of WHOQoL-BREF were all explained by the LIFE-H scores (β = -10.58, -3.37, 4.24, -5.35, respectively), while psychological, social, and environmental domains were explained by Montreal Cognitive Assessment scores (β = .47, 0.78, 0.54, respectively).
CONCLUSION: Social participation and cognition were strong determinants of QoL among urban-dwelling older adults with stroke. Social and recreational activities and cognitive rehabilitation should therefore be evaluated as potential strategies to improve the well-being of older adults affected by stroke.
OBJECTIVE: The aim was to understand the local prevalence and factors associated with returning to work in Malaysia after a cardiac event.
METHODS: A cross sectional design was used. All patients attending the cardiac rehabilitation program after major cardiac event during an 11-months period (2011-2012) were included. Data relating to socio-demographic, work-related, risk factors and acute myocardial infarction were collected. The SF-36 questionnaire was used to assess quality of life. Regression analysis was used to determine the predicting factors to return to work.
RESULTS: A total of 398 files were screened, 112 respondents agreed to participate giving a response rate of 47.3%. The prevalence of returned to work (RTW) was 66.1% [95% CI: 57.2-75.0]. Factors associated with work resumption were age (Adj. OR: 0.92 (95% CI: 0.84-0.99), diabetes mellitus (Adj. OR: 3.70, 95% CI: 1.35-10.12), Mental Component Summary (MCS) score (Adj. OR: 1.05 (95% CI: 1.01-1.09) and baseline angiography findings. Patients with single vessel and two vessel disease were 8.9 times and 3.78 times more likely to return to work compared to those with 3 vessels (Adj. OR: 8.90 (95% CI: 2.29-34.64) and Adj. OR: 3.78, (95% CI: 1.12, 12.74).
CONCLUSIONS: We proposed a cardiac rehabilitation program to emphasize mental health as it may improve successful return to work after cardiac event.
METHODS: The initial proposals were based on 5 main areas of PRM research: biosciences in rehabilitation, biomedical rehabilitation sciences and engineering, clinical PRM sciences, integrative rehabilitation sciences, and human functioning sciences. This list became a model for structuring the abstracts for the 9th and 10th World Congresses of PRM, held in Berlin, Germany (2015) and Kuala Lumpur, Malaysia (2016), respectively. The next step was to evaluate the implementation of this model in both congresses.
RESULTS: It was found that the 5 main research areas were still used as the main principles (chapters) in which to organize the abstracts. However, some modifications have been made to cover topics that were not included in the initial proposal.
CONCLUSION: A more comprehensive list of topics has been developed, not only for topic list announcements, but also for the structuring and classification of abstracts for future international, regional or national PRM congresses.