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|Title:||Factors associated with post-stroke physical activity: a systematic review and meta-analysis.|
|Epworth Authors:||Williams, Gavin|
|Other Authors:||Thilarajah, Shamala|
Yong Hao, Pua
Quality in Prognosis Studies Checklist
Quality of Life
Rehabilitation, Mental Health and Chronic Pain Clinical Institute, Epworth HealthCare, Victoria, Australia
|Citation:||Arch Phys Med Rehabil. 2017 Oct 19. pii: S0003-9993(17)31264-9|
|Abstract:||OBJECTIVE: To integrate the literature investigating factors associated with post-stroke physical activity. DATA SOURCES: A search was conducted from database inception to June 2016 across nine databases: Cochrane, Medline, ProQuest, Web of Science ISI, PsycInfo, Scopus, Embase, CINAHL and AMED. The reference lists of included articles were screened for secondary literature. STUDY SELECTION: Cohort and cross-sectional studies were included if they recruited community-dwelling stroke survivors and measured factors associated with physical activity. DATA EXTRACTION: Risk of bias was evaluated using the Quality in Prognosis Studies checklist. A meta-analysis was conducted for correlates where there were at least two studies that reported a correlation value. Correlation values were used in an effect size measure and converted to a standardised unit with Fisher r to z transformation and conversion back to r method. Results were described qualitatively for studies that could not be pooled. DATA SYNTHESIS: 2161 studies were screened and 26 studies were included. Age (meta r=-0.17; p=<0.001) and gender (meta r=-0.01; p=0.02) were the non-modifiable factors that were found to be associated with post-stroke physical activity. The modifiable factors were physical function (meta r=0.68-0.73; p<0.001), cardiorespiratory fitness (meta r=0.35; p=<0.001), fatigue (meta r=-0.22; p=0.01), falls self-efficacy (meta r=-0.33; p<0.001), balance self-efficacy (meta r=0.37; p<0.001), depression (meta r=-0.58-0.48; p<0.001) and health-related quality of life (meta r=0.38-0.43; p<0.001). The impact of side of infarct, neglect and cognition on post-stroke physical activity were inconclusive. CONCLUSIONS: Age, gender, physical function, depression, fatigue, self-efficacy and quality of life were factors associated with post-stroke physical activity. The cause and effect of these relationships are unclear and the possibility of reverse causality needs to be addressed.|
|Journal Title:||Archives of Physical Medicine and Rehabilitation|
|Affiliated Organisations:||School of Health and Exercise Science, The University of the Sunshine Coast, Queensland, Australia; Department of Physiotherapy, Singapore General Hospital, Singapore.|
School of Health and Exercise Science, The University of the Sunshine Coast, Queensland, Australia.
Department of Physiotherapy, Singapore General Hospital, Singapore.
Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
The University of Melbourne, Melbourne, Australia.
|Type of Clinical Study or Trial:||Reviews/Systematic Reviews|
|Appears in Collections:||Neurosciences|
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