医学
潜在类模型
匹兹堡睡眠质量指数
横断面研究
睡眠卫生
睡眠障碍
睡眠(系统调用)
苦恼
癌症
内科学
睡眠质量
临床心理学
精神科
失眠症
病理
统计
数学
计算机科学
操作系统
作者
Liuna Bi,Xian Zhang,Linlin Wang,Yan‐xiu Cai,Jing Han
标识
DOI:10.1016/j.ejon.2023.102488
摘要
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.
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