Latent profile analysis of family resilience in cervical cancer patients and its influencing factors
10.3760/cma.j.cn115682-20231013-01484
- VernacularTitle:宫颈癌患者家庭复原力的潜在剖面分析及影响因素探究
- Author:
Zhuanzhuan ZHANG
1
;
Xia LI
;
Zhe WANG
;
Dongge ZHU
;
Yutong YANG
;
Weina DING
Author Information
1. 山西医科大学护理学院，太原 030001
- Keywords:
Uterine cervical neoplasms;
Family resilience;
Latent profile analysis;
Influencing factors
- From:
Chinese Journal of Modern Nursing
2024;30(14):1884-1890
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the different categories of family resilience in cervical cancer patients and their influencing factors.Methods:From October 2022 to September 2023, 275 cervical cancer patients admitted to the First Hospital of Shanxi Medical University were selected as the study subject by convenience sampling. Cervical cancer patients were surveyed using the self-made General Information Questionnaire, Benefit Finding Scale (BFS), Connor-Davidson Resilience Scale (CD-RISC), and shortened Chinese Version of the Family Resilience Assessment Scale (FRAS-C). Latent profile analysis was used to investigate the family resilience of patients, and Logistic regression was used to analyze the influencing factors of family resilience in different categories.Results:A total of 275 questionnaires were distributed, and 253 valid questionnaires were collected, with a valid response rate of 92.0% (253/275). Family resilience of cervical cancer patients was divided into three categories of low resilience-negative coping group (18.6%, 47/253), moderate resilience-communication disorder group (59.3%, 150/253), and high resilience-inclusive understanding group (22.1%, 56/253). The per capita family monthly income, place of residence, primary caregivers, whether to undergo radiotherapy or chemotherapy, psychological resilience, and disease benefit finding were the influencing factors of family resilience in different categories of cervical cancer patients ( P<0.05) . Conclusions:The family resilience of cervical cancer patients can be divided into three latent categories. Medical and nursing staff should identify the characteristics of different categories of patients and provide targeted intervention measures to improve their family resilience.
