Subjective and Objective Measures of Sleep Quality in Advanced Cancer: A Possible Clinical Marker for Depression
|Michael J Hasselberg1*, Anton P Porsteinsson1, Lisa Boyle1and Kathy P Parker2|
|1Department of Psychiatry, University of Rochester School of Medicine and Dentistry, 601 Elmwood Ave., Rochester, NY 14642, USA|
|2University of Rochester School of Nursing, 255 Crittenden Blvd., Rochester, NY 14642, USA|
|Corresponding Author :||Michael J. Hasselberg
Department of Psychiatry
University of Rochester
School of Medicine, 601 Elmwood Ave
Rochester, NY 14642, USA
E-mail: [email protected]
|Received July 19, 2013; Accepted August 16, 2013; Published August 20, 2013|
|Citation: Hasselberg MJ, Porsteinsson AP, Boyle L, Parker KP (2013) Subjective and Objective Measures of Sleep Quality in Advanced Cancer: A Possible Clinical Marker for Depression. J Sleep Disord Ther 2:135. doi:10.4172/2167-0277.1000135|
|Copyright: © 2013 Hasselberg MJ, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
Purpose: It is estimated that between 30 and 75% of patients with cancer experience depression, poor nocturnal
sleep, and daytime sleepiness. Research designed to specifically examine associations of depression with subjective
and objective sleep measures is lacking. Thus the purpose of these analyses was to compare relationships among
depression, subjective and polysomnographic measures of sleep.
Methods: Secondary data analysis design was used to assess sleep quality, and self-rated depression of
patients with advanced cancer recruited from a university-based medical system. Responses to the Beck Depression
Inventory-II (BDI-II), Pittsburgh Sleep Questionnaire Index (PSQI), and the Epworth Sleepiness Scale (ESS), and
polysomnography data were analyzed using descriptive, correlation, and regression statistics.
Results: A total of 114 patients with advanced cancer completed the study. PSQI and ESS scores were
positively correlated with BDI-II scores. Total nocturnal sleep time and a prolonged REM latency were also positively
related to BDI-II scores. When controlling for selected demographic and clinical features, the relationships between
polysomnographic variables and depression were no longer significant.
Conclusions: Depression was related to subjective sleep quality and daytime sleepiness suggesting that these
problems occur together. In addition, higher levels of depression were associated with nocturnal sleep time and
prolonged REM latency.