TY - JOUR
T1 - Trajectories of sleep disturbance and daytime sleepiness in women before and after surgery for breast cancer
AU - Van Onselen, Christina
AU - Paul, Steven M.
AU - Lee, Kathryn
AU - Dunn, Laura
AU - Aouizerat, Bradley E.
AU - West, Claudia
AU - Dodd, Marylin
AU - Cooper, Bruce
AU - Miaskowski, Christine
N1 - Funding Information:
This study was funded by grants from the National Cancer Institute ( CA107091 and CA118658 ). Dr. Aouizerat was funded through the National Institutes of Health (NIH) Roadmap for Medical Research grant ( KL2 RR624130 ). Dr. Dunn received funding from the Mount Zion Health Fund. Dr. Miaskowski is an American Cancer Society Clinical Research Professor. This project is supported by NIH/NCRR UCSF-CTSI grant number UL1 RR024131 . Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.
PY - 2013/2
Y1 - 2013/2
N2 - Context: Sleep disturbance is a problem for oncology patients. Objectives: 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. Methods: 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. Results: 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. Conclusion: 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.
AB - Context: Sleep disturbance is a problem for oncology patients. Objectives: 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. Methods: 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. Results: 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. Conclusion: 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.
KW - Sleep disturbance
KW - breast cancer
KW - daytime sleepiness
KW - depression
KW - fatigue
KW - hierarchical linear modeling
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U2 - 10.1016/j.jpainsymman.2012.02.020
DO - 10.1016/j.jpainsymman.2012.02.020
M3 - Article
C2 - 22921179
AN - SCOPUS:84873404678
SN - 0885-3924
VL - 45
SP - 244
EP - 260
JO - Journal of Pain and Symptom Management
JF - Journal of Pain and Symptom Management
IS - 2
ER -