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

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 操作系统 统计 计算机科学 数学
作者
Liuna Bi,Xian Zhang,Linlin Wang,Yan‐xiu Cai,Jing Han
出处
期刊:European Journal of Oncology Nursing [Elsevier BV]
卷期号:68: 102488-102488 被引量:1
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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