Sleep quality, anxiety and depression in advanced lung cancer: patients and caregivers

Author:

He YuanORCID,Sun Li-Yue,Peng Kun-Wei,Luo Man-Jun,Deng Ling,Tang Tao,You Chang-Xuan

Abstract

ObjectiveTo investigate the clinical implications of sleep quality, anxiety and depression in patients with advanced lung cancer (LC) and their family caregivers (FCs).MethodsA total of 98 patients with advanced LC and their FCs (n=98) were recruited from the Oncology Department in Nanfang Hospital. The Pittsburgh Sleep Quality Index (PSQI), consisting of seven components that evaluate subjective sleep quality, sleep latency, duration of sleep, sleep efficiency, sleep disturbances, sleep medication usage and daytime dysfunction, was used to assess sleep quality. Using the tool of Zung Self-rating Anxiety Scale (SAS) and Zung Self-rating Depression Scale (SDS), we tested the patients’ status of anxiety and depression, respectively.ResultsThe prevalences of poor sleep quality, anxiety and depression in patients were 56.1%, 48.9% and 56.1%, respectively, while those in FCs were 16.3%, 32.6% and 25.5%, respectively. Patients had higher PSQI, SAS and SDS scores than did FCs (p<0.05). Significant correlations were found between the patients’ and FCs’ scores of PSQI/SAS/SDS (p<0.05). Multivariate Cox regression analyses indicated that sleep disturbances in patients (HR 0.413, 95% CI 0.21 to 0.80, p=0.01) and the global PSQI score of FCs (HR 0.31, 95% CI 0.14 to 0.71, p=0.00) were independent risk factors for patients’ first-line progression-free survival (PFS). Moreover, patients’ sleep latency (HR 2.329, 95% CI 1.36 to 3.96, p=0.00) and epidermal growth factor receptor mutations (HR 1.953, 95% CI 1.12 to 3.38, p=0.01) were significant prognostic factors for their overall survival (OS).ConclusionsWe demonstrated that presence of sleep disturbances in patients with advanced LC and the global PSQI Score of their FCs may be risk predictors for patients’ poor first-line PFS. Patients’ sleep latency was a potential risk factor for their OS.

Publisher

BMJ

Subject

Medical–Surgical Nursing,Oncology (nursing),General Medicine,Medicine (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3