Sleep-anxiety symptom networks and subgroup characterization in nasopharyngeal carcinoma patients undergoing chemoradiotherapy: A latent profile and network analysis.

backgroundPatients with nasopharyngeal carcinoma often face sleep and anxiety problems during chemoradiotherapy. These two issues interact with each other, forming a vicious cycle that seriously affects the patients' quality of life and treatment outcomes. In order to address the neglect of group heterogeneity in traditional studies, this study employs latent profile analysis and network analysis methods to explore patient subgroups and reveal the association patterns between symptoms, thereby providing a basis for precise nursing interventions.

methodsFrom September 2023 to March 2025, a convenience sampling method was used to select 513 patients with nasopharyngeal carcinoma who were receiving initial treatment in the Radiotherapy Department of a Grade A tertiary hospital in Nanning, Guangxi. General information questionnaires, the Pittsburgh Sleep Quality Index (PSQI), and the Anxiety Subscale of the Hospital Anxiety and Depression Scale (HADS-A) were used to assess the patients' sleep quality and anxiety. Latent Profile All assessments were conducted at the mid-stage of concurrent chemoradiotherapy (2-4 weeks after the initiation of treatment), and the specific treatment phase of each participant was recorded and summarized. Latent Profile Analysis (LPA) was applied to identify potential patient subgroups with different "sleep-anxiety" characteristics. For different subgroups, symptom networks of sleep and anxiety were constructed respectively, and the core symptoms were identified and compared.

resultsThe sleep quality and anxiety symptoms of nasopharyngeal carcinoma patients undergoing chemoradiotherapy can be divided into 4 latent profiles: low distress group (43.86%), emotional distress dominant group (21.25%), sleep problem dominant group (23.59%), and high anxiety-sleep disorder group (11.31%). Network analysis shows that in the low distress group network, the association between HADS1 and PSQI2 was the strongest, and PSQI2, PSQI3, and PSQI4 had the highest centrality. In the network of the emotional distress dominant group, the association between PSQI3 and PSQI4 was the strongest, and HADS4 also had relatively high centrality. In the sleep problem dominated group network, the association between HADS1 and PSQI2 was the strongest among all subtypes, and PSQI2, HADS1, and PSQI3 were the core symptoms in this network. In the network of the high anxiety-sleep disorder group, the association between HADS3 and PSQI3 was the strongest, and PSQI3, HADS3, and HADS2 were the core symptoms with high centrality.

conclusionThere is group heterogeneity in sleep-anxiety symptoms among patients with nasopharyngeal carcinoma undergoing chemoradiotherapy, which can be divided into four subgroups with different core symptom characteristics. The identified symptom associations provide hypothesis-generating insights for clinical intervention, and targeted strategies for core symptoms in each subgroup may help optimize symptom management in this population.