Latent profile analysis of resilience and its influencing factors in patients with lung cancer undergoing chemotherapy.

Objective: This study aims to analyze the classification characteristics of resilience in patients with lung cancer undergoing chemotherapy using latent profile analysis and explore the influencing factors and their relationship with medical coping strategies.

Methods: A questionnaire survey was conducted on 265 patients with lung cancer undergoing chemotherapy at a tertiary Grade-A hospital in Guangzhou from November 2023 to March 2024, using the General Information Questionnaire, Resilience Scale Specific to Cancer (RS-SC), Lung Cancer Chemotherapy Symptom Cluster Assessment Questionnaire, and Medical Coping Modes Questionnaire (MCMQ). Latent profile analysis was performed using Mplus 8.3 to identify resilience classifications, estimate influencing factors, and evaluate their impact on medical coping strategy selection.

Results: A total of 259 valid questionnaires were collected, with an effective response rate of 97.74%. Patients were categorized into three groups based on resilience levels: low-resilience group (20.46%), mid-resilience group (40.52%), and high-resilience group (38.97%). Multinomial logistic regression analysis revealed that education level, family per capita monthly income, and gastrointestinal and emotional symptom cluster scores were significant influencing factors for different resilience classifications ( < 0.05). Statistically significant differences were found in the scores for the confrontation and resignation dimensions of medical coping strategies across different latent profiles ( < 0.01).

Conclusions: Resilience in patients with lung cancer undergoing chemotherapy is heterogeneous, presenting in three distinct categories. Medical staff should provide tailored interventions based on the characteristics and influencing factors of each patient profile to enhance resilience and coping strategies.