Abstract: Objective To systematically evaluate the impact of physical activity management of stroke patients on the level of post-stroke fatigue, and provide reference for the formulation of relevant intervention plans for patients with post-stroke fatigue. Methods According to the principle of PIS retrieval, 8 databases retrieve randomized controlled trials on post-stroke fatigue physical activity intervention in China CNKI, PubMed, Web of Science, Embase, Cochrane, Wanfang Data and Weipu Chinese journals. The warehouse will be built until April 2022. After retrieval, the literature is screened and evaluated, and the heterogeneity test and effect statistics of the included literature are carried out through RevMan 5.3. Use the software Stata 17.0 for sensitivity analysis and publish bias tests. Results Finally, 12 literature containing a total of 832 documents that met the exclusion criteria were analyzed. The heterogeneity test I²=84.6%, so the stochastic effect model was used for effect merging. The meta analysis results: the combined effect amount [d=-1.08, 95%CI: -1.05 (-1.20, -0.90), P<0.00001], indicating that physical activity has a significant effect on improving post-stroke fatigue. The sensitivity analysis results show that after excluding Zhou Ping (2019), Ma Yan (2016), Wang Xiao-li (2021) and Wang Meng-jia (2021), the heterogeneity has decreased. I²=61%, 95%CI: -0.69 (-0.87, -0.51), P<0.00001; using Egger's test to detect publication bias, and it is no obvious publication bias. Conclusion Planned, slow and relaxed exercise, strength training and resistance training can effectively relieve post-stroke fatigue symptoms. It is recommended to formulate a detailed plan for the evaluation of cardiopulmonary function before activity and the monitoring of pulmonary function in the activity center when formulating a physical activity plan for patients with post-stroke fatigue.

Key words: post-stroke fatigue, physical activity, meta analysis