文献类型：期刊文献

英文题名：Quality of life management capability in elderly frail patients with colorectal cancer: a latent profile analysis

作者：Chai, Wenyu[1];Wang, Na[1];Wang, Ti[2];Xiang, Yue[2];Li, Gamei[1]

第一作者：Chai, Wenyu

通信作者：Li, GM[1]

机构：[1]Gansu Maternal & Child Hlth Care Hosp, Gansu Prov Cent Hosp, Lanzhou, Gansu, Peoples R China;[2]Gansu Univ Chinese Med, Lanzhou, Gansu, Peoples R China

第一机构：Gansu Maternal & Child Hlth Care Hosp, Gansu Prov Cent Hosp, Lanzhou, Gansu, Peoples R China

通信机构：[1]corresponding author), Gansu Maternal & Child Hlth Care Hosp, Gansu Prov Cent Hosp, Lanzhou, Gansu, Peoples R China.

年份：2026

卷号：16

外文期刊名：FRONTIERS IN ONCOLOGY

收录：;Scopus(收录号：2-s2.0-105051548010);WOS:【SCI-EXPANDED(收录号:WOS:001883817300001)】；

语种：英文

外文关键词：cancer nursing; colorectal cancer; frailty; potential profile analysis; quality of life

摘要：Objective: To explore the potential categories and influencing factors of quality of life management capability in elderly frail patients with colorectal cancer using latent profile analysis. Methods: This cross-sectional study used convenience sampling to recruit patients from three tertiary hospitals between October 2023 and May 2025. Data were collected using multiple-scale surveys. Latent profile analysis (LPA) was used to identify potential categories and analyze influencing factors. Result: A total of 280 patients were included. Quality of life management capability was divided into three categories: the low quality of life, low emotional level group (20.35%); the medium quality of life, low social function group (39.28%); and the high quality of life, high role management group (40.35%). Multivariable logistic regression showed that educational level, tumor stage, enterostomy status, family income, sex, disease acceptance, emotional level, self-efficacy, and social support level were the main influencing factors (P < 0.05). Conclusion: There is significant heterogeneity in the quality of life management capability of patients. Personalized interventions should be implemented based on category characteristics to improve quality of life.