Publications by authors named "Shicai Wu"
Objectives: To evaluate the effectiveness of lower limb robotic rehabilitation (LLRR) on cardiovascular health among individuals with stroke undergoing rehabilitation.
Design: Systematic reviews and meta-analysis.
Data Sources: PubMed, Web of Science, Science Direct, Embase, China National Knowledge Infrastructure, Wangfang and VIP databases were searched from inception to 9 October 2023.
Background: Arthritis primarily affects older people and is a prominent cause of their activity impairment. This study aimed to examine the mediating role of depressive symptoms in the relationship between social participation and activity impairment, as well as to determine whether sex moderated the mediating effect.
Methods: A total of 2247 older patients with arthritis were included from the China Health and Retirement Longitudinal Study between 2015 and 2018.
The mediation effect of social support between stigma and social alienation in patients with stroke.
Front Public Health
December 2023
Article Synopsis
- A study examined the connection between stigma and social alienation in stroke patients, finding that social support plays a mediating role in this relationship.
- Conducted with 248 stroke patients in Beijing, the research utilized various assessment scales to analyze the effects of stigma on social support and social alienation.
- Results showed that stigma negatively impacts social support and positively influences social alienation, indicating that boosting social support could help alleviate feelings of alienation among stroke patients.
Background: Kinesiophobia is one of the most common and aversive psychological phenomena among patients after total knee arthroplasty (TKA). This study aimed to identify trajectories of kinesiophobia, examine factors distinguishing these trajectories, and clarify the association between trajectories of kinesiophobia and rehabilitation outcomes.
Methods: In this prospective cohort study, the patients who underwent TKA were recruited between December 2021 and April 2022 from three orthopedic wards of a tertiary hospital in China.
Background: Chronic post-surgical pain (CPSP) is a common but undertreated condition with a high prevalence among patients undergoing total knee arthroplasty (TKA). An effective model for CPSP prediction has not been established yet.
Aims: To construct and validate machine learning models for the early prediction of CPSP among patients undergoing TKA.
Background: Pain is the primary symptom of knee osteoarthritis (KOA), significantly associated with depressive symptoms. Whether the early pain intensity could distinguish different trajectories of depressive symptoms is not well understood among patients with KOA.
Aims: To identify heterogeneous depressive symptoms trajectories among patients with KOA, and investigate the association between depressive symptoms subgroups and pain intensity.