Open Access

ARTICLE

Network Structure and Variability of Recurrence Fear in Early-Stage Non-Small Cell Lung Cancer: A Symptom Network Analysis

Lu Liu^#, Zhuoheng Lv^#, Yousheng Mao, Yan Liu^*, Man Liu^*
Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
* Corresponding Author: Yan Liu. Email: " />; Man Liu. Email: " />
# These authors contributed equally to this work

Psycho-Oncologie https://doi.org/10.32604/po.2024.053678

Received 07 May 2024; Accepted 08 August 2024; Published online 10 October 2024

Abstract

Background: Lung cancer, one of the most prevalent and deadly malignancies worldwide, not only poses a significant physical burden but also a profound psychological challenge to patients. Among these psychological challenges, the fear of recurrence stands out as a particularly distressing issue. This fear, often rooted in the patients’ past experiences with the disease and its treatment, can significantly impact their quality of life, mental health, and even compliance with follow-up care. Moreover, this fear can be exacerbated by the lack of understanding and support from healthcare professionals and family members, further isolating patients and compounding their psychological burden. Therefore, understanding and addressing the fear of recurrence in lung cancer patients is crucial for improving their overall well-being and outcomes. Aims: This study aims to develop a symptom network model for fear of recurrence in early-stage lung cancer patients, analyzing symptom correlations to enhance healthcare providers’ understanding and management of these symptoms, thereby improving patient outcomes and quality of life. Design: A cross-sectional study design was used. Method: We employed convenience sampling to recruit 551 lung cancer patients from the Thoracic Surgery Department of a tertiary hospital in Beijing between January 2023 and December 2023. A cross-sectional study was conducted using the General Information Questionnaire, Fear of Disease Progression Scale, and Level of Hope Scale. Network analysis was performed with JASP 0.18.3.0 using the EBICglasso method, and centrality metrics including Betweenness, Closeness, Degree centrality, and Expected influence were calculated. Results: Symptom network analysis identified fear of family impact and future work disruption as central to recurrence fear in these patients. Gender-based analysis revealed ‘fear of being unable to continue work’ as central in males, while ‘fear of affecting family members’ was central in females. Among adolescents, concerns about future work, medication side effects, and family impact showed the highest expected influence. In contrast, older patients predominantly feared major treatment implications. One-way ANOVA indicated that older age correlated with reduced recurrence fear, and higher hope levels significantly mitigated this fear. Conclusion: This study broadens understanding of fear of recurrence across demographic variables like gender and age, elucidating symptom interrelations and impacts. Future strategies should focus on patient-specific differences in recurrence fear to formulate targeted interventions. Relevance to Clinical Practice: Through in-depth analysis of the symptom network, healthcare professionals can more comprehensively understand the psychological responses of lung cancer patients when they face the risk of recurrence, and then formulate more precise and personalized treatment plans. At the same time, doctors and nurses can adjust treatment strategies in a timely manner according to the changes in the patient’s symptom network and provide more comprehensive psychological support, thus enhancing the patient’s treatment adherence and outcome. Patient Contribution: People who were invited to participate voluntarily completed a range of questionnaires.

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Keywords

Symptom network; recurrence fear; early-stage non-small cell lung cancer

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