癌症患者睡眠质量的决定因素:巴基斯坦旁遮普三级中心的经验

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摘要

背景:癌症的诊断和治疗可引发和/或加重失眠。这是一把双刃剑,因为睡眠障碍会加剧癌症症状。目的:了解癌症患者的睡眠质量,以及睡眠质量与社会经济状况、经济负担、婚姻状况、东部肿瘤合作组(ECOG)工作状态、疼痛、镇痛药使用、癌症类型的关系。材料和方法:对在拉合尔梅奥医院就诊的100名成人和儿童癌症患者进行了一项分析性横断面研究。采用乌尔都语版匹兹堡睡眠质量指数(PSQI-U)、数值评定量表(NRS)和东部合作肿瘤组织(ECOG)评分分别测定睡眠质量、疼痛强度和工作状态。采用SPSS软件26版进行统计分析。采用二元逻辑回归评估与睡眠质量相关的因素(PSQI量表的截止值≥5定义)。采用p值<0.25的变量建立最终的多变量回归模型。结果:共纳入100名参与者,平均年龄40.2±19.7岁,性别偏好为男性(88%)。非血液系统恶性肿瘤占所有患者的62%,而80%的参与者患有4期癌症。PSQI平均评分为11.56±5.70。单因素分析显示,睡眠质量与年龄增长、婚姻状况、就业状况、疼痛发生率、ECOG状态增加和接受化疗有关。在多变量模型中,年龄增加和ECOG评分增加是睡眠质量的独立预测因子。结论:癌症患者睡眠质量差与病情进展、衰老、疼痛、工作状态差有关。医学、行为和心理干预可以帮助缓解这些患者面临的睡眠问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of sleep quality in cancer patients: a tertiary center experience from Punjab, Pakistan
Background: Cancer diagnosis and treatment can trigger and/or worsen insomnia. This is a double-edged sword as sleep disturbances then exacerbate cancer symptoms. Objectives: To determine the sleep quality in cancer patients as well as the relationship of sleep quality with socioeconomic status, financial burden, marital status, Eastern Cooperative Oncology Group (ECOG) performance status, pain, use of analgesia, and type of cancer. Materials and Methods: An analytical cross-sectional study was carried out with 100 adult and pediatric cancer patients presenting to Mayo Hospital, Lahore. The Urdu version of the Pittsburg Sleep Quality Index (PSQI-U), Numerical Rating Scale (NRS), and Eastern Cooperative Oncology Group (ECOG) score were used to determine the quality of sleep, the intensity of pain, and performance status respectively. Statistical analysis was carried out using SPSS software version 26. Binary logistic regression was used to assess factors associated with sleep quality (defined by a cutoff value of ≥5 on the PSQI scale). Variables with p-value <0.25 were used to build the final multivariable regression model. Results: A total of 100 participants, with a mean age of 40.2 ± 19.7 years, and a male gender predilection (88%) were enrolled in the study. Non-hematological malignancies accounted for 62% of all patients while 80% of the participants were suffering from stage 4 cancer. The mean PSQI score was 11.56 ± 5.70. Sleep quality was associated with increasing age, marital status, employment status, pain incidence, increasing ECOG status, and undergoing chemotherapy on univariate analysis. On the multivariable model, increasing age and increasing ECOG scores were independent predictors of sleep quality. Conclusion: Cancer patients have poor sleep quality which is linked with advanced disease, aging, pain, and poor performance status. Medical, behavioral, and psychological interventions can help in alleviating the sleep problems faced by these patients.
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