Shamala Thilarajah1, Benjamin F Mentiplay2, Kelly J Bower2, Dawn Tan3, Yong Hao Pua3, Gavin Williams4, Gerald Koh5, Ross A Clark2. 1. School of Health and Exercise Science, The University of the Sunshine Coast, Sunshine Coast, QLD, Australia; Department of Physiotherapy, Singapore General Hospital, Singapore. Electronic address: shamala.thilarajah@sgh.com.sg. 2. School of Health and Exercise Science, The University of the Sunshine Coast, Sunshine Coast, QLD, Australia. 3. Department of Physiotherapy, Singapore General Hospital, Singapore. 4. Epworth HealthCare, Richmond, Melbourne, VIC, Australia; The University of Melbourne, Melbourne, VIC, Australia. 5. Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
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 9 databases: Cochrane, MEDLINE, ProQuest, Web of Science, PsycINFO, Scopus, Embase, CINAHL, and Allied and Complementary Medicine Database. 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 2 studies that reported a correlation value. Correlation values were used in an effect size measure and converted to a standardized 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: There were 2161 studies screened and 26 studies included. Age (meta r=-.17; P≤.001) and sex (meta r=-.01; P=.02) were the nonmodifiable factors that were found to be associated with post-stroke physical activity. The modifiable factors were physical function (meta r=.68-.73; P<.001), cardiorespiratory fitness (meta r=.35; P≤.001), fatigue (meta r=-.22; P=.01), falls self-efficacy (meta r=-.33; P<.001), balance self-efficacy (meta r=.37; P<.001), depression (meta r=-.58 to .48; P<.001), and health-related quality of life (meta r=.38-.43; P<.001). The effect of side of infarct, neglect, and cognition on post-stroke physical activity was inconclusive. CONCLUSIONS: Age, sex, physical function, depression, fatigue, self-efficacy, and quality of life were factors associated with post-stroke physical activity. The cause and effect of these relations are unclear, and the possibility of reverse causality needs to be addressed.
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 9 databases: Cochrane, MEDLINE, ProQuest, Web of Science, PsycINFO, Scopus, Embase, CINAHL, and Allied and Complementary Medicine Database. 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 2 studies that reported a correlation value. Correlation values were used in an effect size measure and converted to a standardized 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: There were 2161 studies screened and 26 studies included. Age (meta r=-.17; P≤.001) and sex (meta r=-.01; P=.02) were the nonmodifiable factors that were found to be associated with post-stroke physical activity. The modifiable factors were physical function (meta r=.68-.73; P<.001), cardiorespiratory fitness (meta r=.35; P≤.001), fatigue (meta r=-.22; P=.01), falls self-efficacy (meta r=-.33; P<.001), balance self-efficacy (meta r=.37; P<.001), depression (meta r=-.58 to .48; P<.001), and health-related quality of life (meta r=.38-.43; P<.001). The effect of side of infarct, neglect, and cognition on post-stroke physical activity was inconclusive. CONCLUSIONS: Age, sex, physical function, depression, fatigue, self-efficacy, and quality of life were factors associated with post-stroke physical activity. The cause and effect of these relations are unclear, and the possibility of reverse causality needs to be addressed.
Authors: Khader A Almhdawi; Hanan B Jaber; Hanan W Khalil; Saddam F Kanaan; Awni A Shyyab; Zaid M Mansour; Alza H Alazrai Journal: Qual Life Res Date: 2021-01-02 Impact factor: 4.147
Authors: Reed Handlery; Elizabeth W Regan; Jill C Stewart; Christine Pellegrini; Courtney Monroe; Garrett Hainline; Kaci Handlery; Stacy L Fritz Journal: Stroke Date: 2021-03-11 Impact factor: 7.914