Cho Eulah, Song Jaeeun, Lee Joohee, Cho Inn-Kyu, Lee Dongin, Choi Hayun, Kim Harin, Chung Seockhoon
Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
University of Ulsan College of Medicine, Seoul, South Korea.
Front Psychiatry. 2023 Jan 11;13:978001. doi: 10.3389/fpsyt.2022.978001. eCollection 2022.
Patients with cancer can often experience insomnia or sleep disturbances. This study aimed to explore whether the discrepancy between a patient's desired time in bed and desired total sleep time (DBST index) can be used as a measurement tool for insomnia severity or sleep onset latency [SOL] in patients with cancer. This retrospective medical records review study gathered clinical information and scores from scales and indices such as the Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep (C-DBS) scale, Patient Health Questionnaire-9 items (PHQ-9), State subcategory of State and Trait Anxiety Inventory, and the short form of the Fear of Progression Questionnaire. Sleep indices of time variables (bedtime, sleep onset time, and wake-up time), duration variables [SOL, time in bed (TIB), time in bed over 24 hours (TIB/d), and duration from wake-up time to bedtime (WTB)], and DBST index were calculated. ISI scores were predicted by the PHQ-9 (β = 0.34, < 0.001), C-DBS scale (β = 0.17, = 0.034), and DBST indices (β = 0.22, = 0.004). Long SOL value was predicted by early bedtimes (β = -0.18, = 0.045), short WTB durations (β = -0.26, = 0.004), and high DBST index values (β = 0.19, = 0.013). The DBST index was significantly correlated with both insomnia severity and SOL in patients with cancer.
癌症患者常常会经历失眠或睡眠障碍。本研究旨在探讨患者期望卧床时间与期望总睡眠时间之间的差异(DBST指数)是否可作为衡量癌症患者失眠严重程度或睡眠起始潜伏期(SOL)的工具。这项回顾性病历审查研究收集了临床信息以及来自失眠严重程度指数(ISI)、癌症相关睡眠功能失调信念(C-DBS)量表、患者健康问卷9项(PHQ-9)、状态-特质焦虑量表的状态子类别以及恐惧进展问卷简表等量表和指数的评分。计算了时间变量(就寝时间、入睡时间和起床时间)、时长变量(SOL、卧床时间(TIB)、24小时内卧床时间(TIB/d)以及从起床时间到就寝时间的时长(WTB))的睡眠指数以及DBST指数。ISI评分由PHQ-9(β = 0.34,<0.001)、C-DBS量表(β = 0.17,= 0.034)和DBST指数(β = 0.22,= 0.004)预测得出。长SOL值由较早的就寝时间(β = -0.18,= 0.045)、较短的WTB时长(β = -0.26,= 0.004)和较高的DBST指数值(β = 0.19,= 0.013)预测得出。DBST指数与癌症患者的失眠严重程度和SOL均显著相关。