Symptom clusters and their impact on quality of life among Chinese patients with lung cancer: A cross-sectional study

医学 横断面研究 生活质量(医疗保健) 肺癌 心理干预 星团(航天器) 癌症相关疲劳 物理疗法 探索性因素分析 内科学 癌症 临床心理学 精神科 心理测量学 病理 护理部 程序设计语言 计算机科学
作者
Yunhuan Li,Qi Wang,Chunhua Liu,Xiaolin Hu
出处
期刊:European Journal of Oncology Nursing [Elsevier BV]
卷期号:67: 102465-102465 被引量:17
标识
DOI:10.1016/j.ejon.2023.102465
摘要

To investigate the symptom clusters of Chinese patients with lung cancer, and explore their impact on quality of life (QoL) and each of its functioning.A cross-sectional study was conducted between October 2022 and April 2023 among 219 lung cancer patients at a general hospital in Sichuan Province. Data were collected using a general information questionnaire, the MD Anderson Symptom Inventory, and the EORTC QLQ-C30. R within the RStudio platform was used to conduct descriptive statistics, exploratory factor analysis and multiple regression analysis.Psychoneurological, respiratory, gastrointestinal and fatigue-related symptom clusters were identified, each of which was significantly negatively correlated with overall QoL, global health status/QoL and each functioning. The respiratory (β = -0.60, P = 0.02) and fatigue-related symptom cluster (β = -0.86, P = 0.02) were predictors of global health status/QoL; the fatigue-related symptom cluster predicted physical (β = -1.68, P < 0.01), role (β = -1.63, P < 0.01) and cognitive functioning (β = -1.45, P < 0.01); the psychoneurological symptom cluster was a predictor of patients' emotional functioning (β = -1.26, P < 0.01); and the psychoneurological (β = -0.81, P < 0.01) and gastrointestinal symptom cluster (β = -0.60, P = 0.05) predicted social functioning.Respiratory and fatigue-related symptom clusters were strong predictors of global health status/QoL; fatigue-related, psychoneurological and gastrointestinal symptom clusters had a negative impact on patients' functioning. Nurse practitioners should pay more attention to monitoring respiratory and fatigue-related symptom clusters to identify high-risk populations in time, and tailored interventions based on symptom clusters are needed to synergistically reduce the symptom burden, thereby improving patients' QoL.
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