Objective To systematically review the risk factors associated with post-stroke fatigue (PSF), and
to provide reference for the prevention and treatment of PSF and health education.
Methods The Cochrane Library, PubMed, web of science, EMBASE, CNKI, Wanfang Data and
VIP databases were electronically searched for case-control study, cohort study and cross-sectional
study on the risk factors related to PSF. The retrieval time was from the establishment of the
database to October 30, 2019. Two reviewers independently screened literature, extracted data and
evaluated the risk of bias of included studies. Meta-analysis was performed by using RevMan 5.3
software.
Results A total of 14 studies were involved, including 3201 patients. The results of meta analysis
showed: pre-stroke fatigue (OR 5.93, 95%CI 3.41-10.32, P <0.001), depression (OR 2.48, 95%CI
1.83-3.36, P <0.001), women (OR 1.67, 95%CI 1.24-2.26, P <0.001), family dysfunction (OR 2.57,
95%CI 1.86-3.57, P <0.001), mRS score (OR 2.65, 95%CI 2.04-3.45, P <0.001], coronary heart
disease (OR 3.41, 95%CI 1.97-5.90, P <0.001), inability to take care of oneself (OR 4.32, 95%CI
2.47-7.54, P <0.001), hyperlipidemia (OR 2.27, 95%CI 1.20-4.27, P =0.01), sedative use (OR 4.10,
95%CI 2.14-7.87, P <0.001) may be the risk factors of PSF; regular pre-stroke exercise (OR 0.50,95%CI 0.36-0.70, P <0.001) may be the protective factor of PSF. However, age, anxiety, diabetes
and sleep disorders may be not correlated with PSF.
Conclusions Current evidence shows that gender (female), pre-stroke fatigue, depression, family
dysfunction, mRS score, coronary heart disease, poor self-care ability, hyperlipidemia, sedative
use may be risk factors of post-stroke fatigue, while other related risk factors need to be further
validated. Due to the limited quality and quantity of included studies, more high quality studies are
needed to verify the above conclusions.