School of Health and Exercise Science, The University of the Sunshine Coast, Sunshine Coast, QLD, Australia; Department of Physiotherapy, Singapore General Hospital, Singapore.
School of Health and Exercise Science, The University of the Sunshine Coast, Sunshine Coast, QLD, Australia.
Arch Phys Med Rehabil. 2018 Sep;99(9):1876-1889. doi: 10.1016/j.apmr.2017.09.117. Epub 2017 Oct 19.
To integrate the literature investigating factors associated with post-stroke physical activity.
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.
Cohort and cross-sectional studies were included if they recruited community-dwelling stroke survivors and measured factors associated with physical activity.
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.
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.
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.
整合与卒中后体力活动相关因素的文献研究。
从数据库建立到 2016 年 6 月,在 9 个数据库(Cochrane、MEDLINE、ProQuest、Web of Science、PsycINFO、Scopus、Embase、CINAHL 和补充与替代医学数据库)中进行了检索。纳入文献的参考文献列表中也筛选了二级文献。
如果研究招募了社区居住的卒中幸存者并测量了与体力活动相关的因素,则纳入队列研究和横断面研究。
使用预后研究质量清单评估偏倚风险。至少有 2 项研究报告了相关值的相关性进行了荟萃分析。使用效应量测量相关值,并使用 Fisher r 到 z 转换和转换回 r 方法将其转换为标准化单位。对于无法汇总的研究,描述了定性结果。
共筛选出 2161 项研究,纳入 26 项研究。年龄(meta r=-.17;P≤.001)和性别(meta r=-.01;P=.02)是非可改变因素,与卒中后体力活动相关。可改变的因素包括身体功能(meta r=.68-.73;P<.001)、心肺适能(meta r=.35;P≤.001)、疲劳(meta r=-.22;P=.01)、跌倒自我效能感(meta r=-.33;P<.001)、平衡自我效能感(meta r=.37;P<.001)、抑郁(meta r=-.58 至.48;P<.001)和健康相关生活质量(meta r=.38-.43;P<.001)。卒中后体力活动与梗死侧、忽视和认知的关系尚不确定。
年龄、性别、身体功能、抑郁、疲劳、自我效能和生活质量是与卒中后体力活动相关的因素。这些关系的因果关系尚不清楚,需要解决反向因果关系的可能性。