Investigating the determinants of fear of cancer recurrence in patients with early‐stage non‐small cell lung cancer: Insights from a restricted cubic spline model

Abstract Objective This study aims to investigate the determinants and the dose–response relationship of fear of cancer recurrence among patients with early‐stage non‐small cell lung cancer (NSCLC), aiming to inform prevention and intervention strategies. Methods Employing a cross‐sectional design, we analyzed data from 677 postoperative NSCLC patients who received treatment at National Cancer Center between January 2022 and August 2023. Data collection involved a general demographic survey, the Fear of Progression Questionnaire‐Short Form, Hope Herth Index, and Social Support Rating Scale. We employed logistic regression and restricted cubic spline models to identify factors influencing fear of recurrence (FCR). Results Univariate regression analysis identified female gender and having minor children as significant risk factors, while being older than 60, a higher income, and elevated levels of hope and social support emerged as protective factors. Multivariate logistic regression revealed age (OR = 0.392, 95% CI 0.205–0.750), monthly income (OR = 0.016, 95% CI 0.315–0.886), hope level (OR = 0.305, 95% CI 0.187–0.496), and social support (OR = 0.584, 95% CI 0.375–0.908) as independent influencers of recurrence fear. The restricted cubic spline model indicated a nonlinear impact of hope and social support on this fear. Conclusion Analysis using the restricted cubic spline model underscores the influence of age, income, hope, and social support on FCR, with a nonlinear dose–response relationship evident between hope, social support, and fear. Prioritizing the enhancement of social support before increasing hope levels can rapidly and effectively alleviate FCR.