Frontiers in Public Health · Nov 2, 2026
Latent Profile Analysis of Physical Resilience Among Older Adult Patients with Lung Cancer Undergoing Chemotherapy
By Yantao Yang, Shimei Luo, Cuiting Chen et al.
Objective :To investigate the status of physical resilience in older patients with lung cancer undergoing chemotherapy, identify the characteristics of latent profiles and their associated factors, and provide evidence for the development of individualized intervention strategies. Methods:Using convenience sampling, 311 older patients with lung cancer receiving chemotherapy were recruited from a tertiary hospital in Hainan Province. Data were collected using a general information questionnaire, the FRAIL scale, the Hospital Anxiety and Depression Scale (HADS), the Social Support Rating Scale (SSRS), the Herth Hope Index (HHI), and the Physical Resilience Instrument for Older Adults (PRIFOR). Latent profile analysis was conducted to identify physical resilience profiles. Univariate analysis and multinomial logistic regression analysis were performed to explore factors associated with distinct latent profiles. Results: The median physical resilience score for older patients with lung cancer undergoing chemotherapy was 47 ( 41,53). Three latent profiles were identified: the negative belief-inadequate coping group (23.5%), the moderate belief-routine coping group (58.8%), and the positive belief-proactive coping group (17.7%). Multinomial logistic regression analysis revealed that physical exercise, social support, hope, anxiety-depression status, frailty, clinical stage, and number of chemotherapy cycles were significantly associated with membership in physical resilience profiles (all P < 0.05). Conclusion: Older patients with lung cancer receiving chemotherapy exhibited a moderate level of physical resilience, which was influenced by multiple factors. Latent profile analysis preliminarily revealed the heterogeneity of physical resilience in this population, suggesting that future research could explore stratified intervention strategies based on distinct subgroups, thereby providing a reference for optimizing precise clinical care pathways.