Volume 23 Issue 6
Jun.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(6): 963-966
GU Chunyan, ZHANG Xiaomei, ZHOU Yan, KANG Ningsu. Change curve and analysis of social frailty in maintenance hemodialysis patients[J]. Chinese Journal of General Practice, 2025, 23(6): 963-966. doi: 10.16766/j.cnki.issn.1674-4152.004043
Citation: GU Chunyan, ZHANG Xiaomei, ZHOU Yan, KANG Ningsu. Change curve and analysis of social frailty in maintenance hemodialysis patients[J]. Chinese Journal of General Practice, 2025, 23(6): 963-966. doi: 10.16766/j.cnki.issn.1674-4152.004043
shu

Change curve and analysis of social frailty in maintenance hemodialysis patients

doi: 10.16766/j.cnki.issn.1674-4152.004043

  • Department of Blood Purification Center, the Third People ' s Hospital of Nantong/the Third Affiliated Hospital of Nantong University, Nantong, Jiangsu 226006, China

Funds:

 LK2023040

 MS2023075

  • Received Date: 2024-02-26
    Available Online: 2025-09-04
    Abstract
  •   Objective  To examine the dynamic trajectories of social frailty in maintenance hemodialysis patients and the factors that influence these trajectories.  Methods  A total of 155 patients receiving maintenance hemodialysis who were admitted to the hospital between April 2020 and October 2022 were selected for inclusion in the study. At different time points, the subjects were asked to complete a basic information questionnaire, and the Chinese version of the social frailty index scale and the social support rating scale were used. These tools were used to identify different trajectories of social decline in patients receiving maintenance hemodialysis. The latent class growth model was then used to identify these trajectories.  Results  The present study posits that three potential categories of social frailty trajectories exist among dialysis patients with the average probability of 0.944, 0.908 and 0.946, respectively, for maintenance hemodialysis patients to belong to each category. The categories are as follows: social faltering plus restructuring (30.3%), social faltering improvement group (51.8%), and social faltering stabilization group (17.9%). The analysis revealed a statistically significant association between age (H=11.773, P=0.019), gender (χ2=7.618, P=0.022), and self-rated personality type (χ2=10.016, P=0.040), whether or not the participant was still working after contracting an illness (χ2=10.512, P=0.005), and the social support score (F=7.362, P < 0.001). The differences were statistically significant.  Conclusion  It is evident that three distinct trajectories of social frailty are observable in maintenance hemodialysis patients, These trajectories are influenced by various factors, including age, gender, self-rated personality type, employment status post-illness and social support. Clinical staff must exercise caution when monitoring dialysis patients exhibiting social frailty in conjunction with recombination, as it is imperative to identify high-risk patients with social frailty in a timely manner to mitigate the repercussions of social frailty. Furthermore, it is crucial to provide active proactive and targeted protective care.

     

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