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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
The level of physical activity in hemodialysis patients is generally low, which seriously affects the quality of life of patients. However, whether patients with different physical activity patterns have different quality of life is unclear. We attempted to identify subgroups of physical activity patterns and explored their associations with quality of life.
A cross-sectional study was conducted. Hemodialysis patients from 4 tertiary hospitals in Xi'an completed the Human Activity Profile, the Kidney Disease Quality of Life-36TM, and the Social Support Rating Scale. Latent profile analysis was used to determine the optimal number of profiles. Kruskal-Wallis test was used to assess the quality of life differences among patient categories, and multinomial logistic regression determined factors influencing physical activity pattern categories.
A total of 505 hemodialysis patients were recruited. Their physical activity patterns were divided into three profiles: high household activity group (53.3%), low physical activity group (26.5%), and fully active group (20.2%). Different profiles of physical activity pattern were associated with quality of life. The fully active group tended to exhibit the highest quality of life. Factors such as gender, age, marital status, per capita monthly family income, number of complications, and social support significantly affected these profiles.
Three latent profiles of physical activity pattern were identified. We suggest that hemodialysis patients adopt the fully active pattern, actively engaging in all types of physical activities. Healthcare professionals should develop targeted interventions based on the specific demographic and clinical characteristics of each category to promote patients’ engagement in diverse physical activities, thereby enhancing their quality of life.
