Trajectories and influencing factors of intrinsic capacity in elderly hemodialysis patients based on latent class growth model
10.3760/cma.j.cn115682-20241115-06248
- VernacularTitle:基于潜类别增长模型的老年血液透析患者内在能力变化轨迹及影响因素研究
- Author:
Huimin WEN
1
;
Shuqin XIAO
;
Xue LIU
;
Huan FAN
Author Information
1. 首都医科大学护理学院，北京 100069
- Publication Type:Journal Article
- Keywords:
Hemodialysis;
Aged;
Intrinsic capacity;
Latent class growth model;
Trajectory;
Longitudinal studies
- From:
Chinese Journal of Modern Nursing
2025;31(14):1876-1883
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore latent categories of trajectories in intrinsic capacity in elderly hemodialysis patients and to analyze their influencing factors.Methods:Elderly hemodialysis patients in the Blood Purification Center of Beijing Tongren Hospital affiliated with Capital Medical University from September 2022 to January 2023, were selected for the study using a convenience sampling method. A baseline survey was conducted using the General Information Questionnaire, Hemodialysis Self-Management Instrument, Social Environmental Factor Scale, and Intrinsic Capacity Scale. The Intrinsic Capacity Scale was used to investigate the intrinsic capacity of patients at 6 and 12 months after baseline. The latent class growth model was used to identify latent categories of intrinsic capacity trajectories of elderly hemodialysis patients. Ordered multiclass Logistic regression was used to analyze the influencing factors of latent categories.Results:A total of 317 elderly hemodialysis patients were investigated at baseline, and finally, 309 completed follow-ups. Among the 309 elderly hemodialysis patients, the trajectory of intrinsic capacity was categorized into a low-level slow-decline group (26.2%, 81/309) , a medium-level smooth-decline group (39.8%, 123/309) , and a high-level slow-decline group (34.0%, 105/309) . Ordered multiclass Logistic regression analysis showed that gender, age, mode of residence, per capita monthly income, type of dialyzer, C-reactive protein, score of hemodialysis self-management scale, housing conditions score, transportation condition score, and environmental condition score were the influencing factors of the latent categories of the trajectory in intrinsic capacity of elderly hemodialysis patients, and the difference was statistically significant ( P<0.05) . Conclusions:There is population heterogeneity in the intrinsic capacity trajectory of elderly hemodialysis patients. Healthcare professionals can provide targeted interventions based on the factors influencing the trajectory.
