Subgroups of sleep quality and associated risk factors in patients with cancer undergoing radiotherapy: A cross-sectional study based on latent profile analysis

Abstract

Purpose: To identify latent classes of sleep quality among patients with cancer undergoing radiotherapy, and to examine the predictors of different latent classes.

Methods: This cross-sectional study included 238 cancer patients. The assessment instrument included the Pittsburgh Sleep Quality Index, the sleep hygiene awareness and practice scale, the MD Anderson Symptom Inventory, the Distress Thermometer and the Fear of Cancer Recurrence Questionnaire. Latent profile analysis was used to identify different sleep quality subgroups.

Results: Three latent classes with distinct sleep characteristics were identified: good sleep quality (class 1, 66.8%), moderate sleep disturbance with high hypnotics use (class 2, 9.2%), and high sleep disturbance with low hypnotics use (class 3, 24.0%) classes. Patients who were young (P = 0.022) and diagnosed with cancer stage Ⅲ (P = 0.021) were significantly more likely to be in Class 3 than in Class 1. Patients with a senior middle school were less likely to fall into Class 2, but more likely to fall into Class 1 (P = 0.026). Those with higher sleep hygiene practice scores (P = 0.022; P < 0.001), symptom severity (P < 0.001; P < 0.001), and psychological distress (P = 0.040; P < 0.001) had a significantly higher probability of being classified in Class 2 or Class 3 than in Class 1.

Conclusions: Our study revealed the heterogeneity of sleep quality in patients with cancer undergoing radiotherapy; moreover, through our findings, targeted interventions may be developed to promote the sleep quality of these patients.