Zhang Sirui, Luo Limin, Zhou Liqun, Ji Lingying, Deng Baogui
The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Department of Oncology, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Asia Pac J Oncol Nurs. 2024 Sep 14;11(11):100593. doi: 10.1016/j.apjon.2024.100593. eCollection 2024 Nov.
This study aims to analyze the classification characteristics of resilience in patients with lung cancer undergoing chemotherapy using latent profile analysis and explore the influencing factors and their relationship with medical coping strategies.
A questionnaire survey was conducted on 265 patients with lung cancer undergoing chemotherapy at a tertiary Grade-A hospital in Guangzhou from November 2023 to March 2024, using the General Information Questionnaire, Resilience Scale Specific to Cancer (RS-SC), Lung Cancer Chemotherapy Symptom Cluster Assessment Questionnaire, and Medical Coping Modes Questionnaire (MCMQ). Latent profile analysis was performed using Mplus 8.3 to identify resilience classifications, estimate influencing factors, and evaluate their impact on medical coping strategy selection.
A total of 259 valid questionnaires were collected, with an effective response rate of 97.74%. Patients were categorized into three groups based on resilience levels: low-resilience group (20.46%), mid-resilience group (40.52%), and high-resilience group (38.97%). Multinomial logistic regression analysis revealed that education level, family per capita monthly income, and gastrointestinal and emotional symptom cluster scores were significant influencing factors for different resilience classifications ( < 0.05). Statistically significant differences were found in the scores for the confrontation and resignation dimensions of medical coping strategies across different latent profiles ( < 0.01).
Resilience in patients with lung cancer undergoing chemotherapy is heterogeneous, presenting in three distinct categories. Medical staff should provide tailored interventions based on the characteristics and influencing factors of each patient profile to enhance resilience and coping strategies.
本研究旨在运用潜在剖面分析方法分析接受化疗的肺癌患者心理弹性的分类特征，探讨其影响因素以及与医疗应对策略的关系。
于2023年11月至2024年3月，对广州某三甲医院265例接受化疗的肺癌患者进行问卷调查，采用一般资料问卷、癌症特异性心理弹性量表（RS-SC）、肺癌化疗症状群评估问卷及医学应对方式问卷（MCMQ）。运用Mplus 8.3进行潜在剖面分析，以确定心理弹性分类，估计影响因素，并评估其对医疗应对策略选择的影响。
共收集到有效问卷259份，有效回收率为97.74%。根据心理弹性水平将患者分为三组：低心理弹性组（20.46%）、中等心理弹性组（40.52%）和高心理弹性组（38.97%）。多项逻辑回归分析显示，教育程度、家庭人均月收入以及胃肠道和情绪症状群得分是不同心理弹性分类的显著影响因素（<0.05）。不同潜在剖面的医学应对策略中面对和屈服维度得分存在统计学显著差异（<0.01）。
接受化疗的肺癌患者心理弹性具有异质性，呈现出三种不同类型。医护人员应根据每个患者类型的特征和影响因素提供针对性干预，以增强心理弹性和应对策略。
