School of Nursing, University of California, San Francisco, California 94143-0610, USA.
J Pain Symptom Manage. 2013 Feb;45(2):244-60. doi: 10.1016/j.jpainsymman.2012.02.020. Epub 2012 Aug 24.
Sleep disturbance is a problem for oncology patients.
To evaluate how sleep disturbance and daytime sleepiness (DS) changed from before to six months following surgery and whether certain characteristics predicted initial levels and/or the trajectories of these parameters.
Patients (n=396) were enrolled prior to surgery and completed monthly assessments for six months following surgery. The General Sleep Disturbance Scale was used to assess sleep disturbance and DS. Using hierarchical linear modeling, demographic, clinical, symptom, and psychosocial adjustment characteristics were evaluated as predictors of initial levels and trajectories of sleep disturbance and DS.
All seven General Sleep Disturbance Scale scores were above the cutoff for clinically meaningful levels of sleep disturbance. Lower performance status; higher comorbidity, attentional fatigue, and physical fatigue; and more severe hot flashes predicted higher preoperative levels of sleep disturbance. Higher levels of education predicted higher sleep disturbance scores over time. Higher levels of depressive symptoms predicted higher preoperative levels of sleep disturbance, which declined over time. Lower performance status; higher body mass index; higher fear of future diagnostic tests; not having had sentinel lymph node biopsy; having had an axillary lymph node dissection; and higher depression, physical fatigue, and attentional fatigue predicted higher DS prior to surgery. Higher levels of education, not working for pay, and not having undergone neo-adjuvant chemotherapy predicted higher DS scores over time.
Sleep disturbance is a persistent problem for patients with breast cancer. The effects of interventions that can address modifiable risk factors need to be evaluated.
睡眠障碍是肿瘤患者的一个问题。
评估手术前后六个月睡眠障碍和白天嗜睡(DS)的变化情况,以及某些特征是否可以预测这些参数的初始水平和/或变化轨迹。
患者(n=396)在手术前入组,并在手术后完成了六个月的每月评估。使用一般睡眠障碍量表评估睡眠障碍和 DS。使用分层线性建模,评估人口统计学、临床、症状和心理社会调整特征作为睡眠障碍和 DS 初始水平和轨迹的预测因素。
所有七个一般睡眠障碍量表评分均高于临床有意义的睡眠障碍水平的临界值。较低的表现状态;较高的合并症、注意力疲劳和身体疲劳;以及更严重的热潮红预测术前睡眠障碍水平更高。较高的教育水平预测随着时间的推移睡眠障碍评分更高。较高的抑郁症状预测术前睡眠障碍水平更高,随着时间的推移会下降。较低的表现状态;较高的体重指数;更高的对未来诊断性检查的恐惧;未进行前哨淋巴结活检;进行了腋窝淋巴结清扫术;以及更高的抑郁、身体疲劳和注意力疲劳预测术前 DS 水平更高。较高的教育水平、不领薪工作和未接受新辅助化疗预测随着时间的推移 DS 评分更高。
乳腺癌患者的睡眠障碍是一个持续存在的问题。需要评估可以解决可改变的风险因素的干预措施的效果。