Latent profile analysis of self-perceived burden and comparison of quality of life among young and middle-aged postoperative glioma patients
10.3760/cma.j.cn115682-20241011-05563
- VernacularTitle:中青年胶质瘤术后患者自我感受负担的潜在剖面分析及其生活质量比较
- Author:
Nan LUO
1
;
Jing LI
1
;
Hui WANG
1
;
Binbin ZHAO
1
;
Yifan LUO
1
Author Information
1. 首都医科大学附属北京天坛医院护理部，北京 100070
- Publication Type:Journal Article
- Keywords:
Glioma;
Self-perceived burden;
Quality of life;
Young and middle-aged;
Latent profile analysis
- From:
Chinese Journal of Modern Nursing
2025;31(23):3135-3141
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the latent profiles of self-perceived burden among young and middle-aged postoperative glioma patients and to compare the differences in quality of life among the identified profiles.Methods:From October 2022 to June 2023, a total of 184 young and middle-aged postoperative glioma patients were selected using convenience sampling from the Department of Neurosurgery at Beijing Tiantan Hospital, Capital Medical University. Data were collected using a general information questionnaire, the Self-Perceived Burden Scale (SPBS), and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Latent profile analysis was conducted using Mplus 8.3 software. Multinomial Logistic regression was used to analyze the influencing factors of different latent classes of self-perceived burden. The quality of life scores were compared across the different classes.Results:A total of 184 questionnaires were distributed, and 179 valid responses were collected, with an effective response rate of 97.3% (179/184). The self-perceived burden among young and middle-aged postoperative glioma patients was categorized into three latent profiles: low burden group (43.6%, 78/179), moderate burden group (36.3%, 65/179), and high burden group (20.1%, 36/179). Logistic regression analysis showed that age, gender, place of residence, and duration of illness were influencing factors for latent class membership ( P<0.05). The differences in quality of life total and subscale scores among the three latent classes were all statistically significant ( P<0.05) . Conclusions:Young and middle-aged postoperative glioma patients exhibit distinct latent profiles of self-perceived burden, and their quality of life varies significantly across these profiles. Medical staff should pay particular attention to patients who are younger, male, from rural areas, and with shorter disease durations, and provide personalized interventions to improve their quality of life.
