Status and Influencing Factors of Fatigue-Pain-Sleep Disturbance Symptom Cluster in Patients With Lung Cancer: A Latent Profile Analysis.

Abstract

In this cross-sectional study, we aimed to explore the latent profiles of fatigue-pain-sleep disturbance symptom cluster in patients with lung cancer and analyze its influencing factors. A total of 310 patients with lung cancer who received systemic anticancer therapy were recruited as the research participants by convenience sampling. The fatigue-pain-sleep disturbance symptom cluster was assessed using the Cancer Fatigue Scale, Brief Pain Inventory, and Pittsburgh Sleep Quality Index. Additionally, patients' basic information, psychological resilience, and social support were evaluated through the general information questionnaire, the 10-item Psychological Resilience Scale, and the Perceived Social Support Scale. Latent profile analysis was employed to explore the profiles of the fatigue-pain-sleep disturbance symptom cluster, and binary logistic regression was used to analyze the influencing factors of the symptom cluster profiles. Results indicated that 297 patients (95.81%) exhibited the fatigue-pain-sleep disturbance symptom cluster, which comprised two profiles: low symptom group (79.80%) and high symptom group (20.20%). Logistic regression analysis revealed that those patients with a religion, a lower body mass index, and low family support were independent influencing factors for the high symptom burden group. To improve patients' quality of life, clinical staff should promptly identify those with a high symptom burden and implement targeted interventions based on these factors.