Liu Su Ting, Zhang Xin Yi, Su Qing, Yang Zhi Hui, Zhang Li Li
School of Nursing, Southern Medical University, Baiyun District, No.1023, South Shatai Road, Guangzhou, Guangdong, 510515, China.
Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Support Care Cancer. 2025 Jul 1;33(7):645. doi: 10.1007/s00520-025-09698-x.
To identify the dynamic change and explore the longitudinal correlates of demoralization in patients after cancer diagnosis, provide comprehensive references for interventions targeting demoralization at different time points.
This study included 127 cancer patients from a tertiary hospital in Guangzhou, China. Demoralization was assessed at three time points: 1 (T1), 3 (T2), and 6 (T3) months after cancer diagnosis. The study employed a cross-lagged panel network analysis to explore the longitudinal interactions in demoralization.
There were 52%, 55.4%, and 56.0% of the participants reported high demoralization in 1, 3, and 6 months after cancer diagnosis, respectively. In T1-T2, the strongest direct influence was D1 ("There is a lot of value in what I can offer others")-D21 ("I feel sad and miserable") (B = 0.32), D24 ("I feel trapped by what is happening to me") was the most influential in-prediction and out-prediction variable in this cross-lagged network. In T2-T3, the strongest direct influence was D9 ("I feel hopeless")-D13 ("I have a lot of regret about my life") (B = 0.24), and the D9 was the most influential out-prediction variable in the cross-lagged network.
Considering feeling trapped and hopelessness reported the highest prediction of other symptoms in T1-T2 and T2-T3, respectively, clinical interventions for demoralization should have specific objectives for different periods.
识别癌症诊断后患者士气低落的动态变化并探索其纵向关联因素,为针对不同时间点士气低落的干预措施提供全面参考。
本研究纳入了来自中国广州一家三级医院的127例癌症患者。在癌症诊断后的1个月(T1)、3个月(T2)和6个月(T3)这三个时间点评估士气低落情况。本研究采用交叉滞后面板网络分析来探索士气低落的纵向相互作用。
分别有52%、55.4%和56.0%的参与者在癌症诊断后的1个月、3个月和6个月报告有高度士气低落。在T1-T2阶段,最强的直接影响是D1(“我能为他人提供的有很多价值”)-D21(“我感到悲伤和痛苦”)(B = 0.32),D24(“我感觉被发生在自己身上的事情困住了”)是这个交叉滞后网络中预测性和被预测性最强的变量。在T2-T3阶段,最强的直接影响是D9(“我感到绝望”)-D13(“我对自己一生有很多遗憾”)(B = 0.24),并且D9是交叉滞后网络中最具影响力的被预测变量。
鉴于分别在T1-T2和T2-T3阶段,感觉被困和绝望对其他症状的预测性最高,针对士气低落的临床干预应该针对不同时期设定具体目标。