A longitudinal study of measures of objective and subjective sleep disturbance in patients with breast cancer before, during, and after radiation therapy.
ABSTRACT Sleep disturbance is a significant problem in oncology patients.
To examine how actigraphy and self-report ratings of sleep disturbance changed over the course of and after radiation therapy (RT); investigate whether specific patient, disease, and symptom characteristics predicted the initial levels and/or the characteristics of the trajectories of sleep disturbance; and compare predictors of subjective and objective sleep disturbance.
Patients (n=73) completed self-report questionnaires that assessed sleep disturbance, fatigue, depressive symptoms, anxiety, and pain before the initiation of RT through four months after the completion of RT. Wrist actigraphy was used as the objective measure of sleep disturbance. Hierarchical linear modeling was used for data analyses.
Mean wake after sleep onset was 11.9% and mean total score on the General Sleep Disturbance Scale was 45. More than 85% of the patients had an abnormally high number of nighttime awakenings. Substantial interindividual variability was found for both objective and subjective measures of sleep disturbance. Body mass index predicted baseline levels of objective sleep disturbance. Comorbidity, evening fatigue, and depressive symptoms predicted baseline levels of subjective sleep disturbance, and depressive symptoms predicted the trajectory of subjective sleep disturbance.
Different variables predicted sleep disturbance using subjective and objective measures. The slightly elevated wake after sleep onset found may be an underestimation of the degree of sleep disturbance when it is evaluated in the context of the high number of nighttime awakenings and patient's perception of poor sleep quality and quantity.
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ABSTRACT: Sleep complaints are common among Iranian chemically-injured veterans. The growing body of research has investigated (in) equalities between such subjective complaints and objective sleep records. Moreover, sleep complaints are associated with depressive symptoms. Depressive symptoms, also, have been frequently reported in chemically-injured veterans. Therefore, the purpose of this pilot study was to investigate the relationship between perceived sleep quality, polysomnographic measures and depressive symptoms in Iranian veterans with chemical injuries. In this pilot study, 35 Iranian veterans with chemical injuries complaining of a sleep problem were selected. Initially, participants were evaluated via all-night polysomnography, then, they completed the research questionnaires. Collected data were analyzed using Pearson correlation coefficients. Data analyses showed that there was no significant correlation between many of self-reposted variables and polysomnogaphic recordings, however, remarkable relationships were found between the Pittsburgh Sleep Quality Index and the Beck Depression Inventory scores. The findings indicated that sleep complaints of chemically-injured veterans are not equivalent to objective sleep disturbances, however, these complaints are largely associated with level of depression. This study emphasizes the important role of mood in sleep evaluation. Further, the findings suggest using a combination of both subjective and objective measures for accurate assessment of sleep quality in Iranian veterans with chemical injuries (i.e., multimethod approach).Iranian journal of psychiatry. 07/2014; 9(3):169-74.
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ABSTRACT: Sleep disturbances are highly prevalent in women with breast cancer; side effects of cancer treatment may worsen pre-existing sleep problems and have been pointed to as important determinants of their incidence. Therefore, we aimed to assess the association between different types of breast cancer treatment and sleep disturbances, through a systematic review. Medline (using PubMed), CINAHL Plus with full text, PsycINFO and Cochrane Central Register of Controlled Trials (Central) were searched from inception to January 2014. Studies that evaluated samples of women with breast cancer, assessed sleep disturbances with standardized sleep-specific measures, and provided data for different cancer treatments were eligible. A total of 12 studies met the inclusion criteria. Three studies evaluated insomnia, five studies assessed sleep quality, two provide data on general sleep disturbances and two analysed specific sleep parameters. Women submitted to chemotherapy, or radiotherapy, tended to report higher levels of sleep disturbances. More heterogeneous findings were observed regarding the effect of surgical treatment and hormonal therapy. However, a sound assessment of the impact of these treatments was hampered by differences across studies regarding the outcomes assessed, reporting bias and the fact that most studies did not control for the effect of potential confounders. The present review highlights the potential relation between breast cancer treatments and sleep disturbances, particularly of chemotherapy, though more robust evidence is needed for a proper understanding of these associations.Breast (Edinburgh, Scotland) 10/2014; · 2.09 Impact Factor
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ABSTRACT: Although sleep is vital to all human functioning and poor sleep is a known problem in cancer, it is unclear whether the overall prevalence of the various types of sleep disorders in cancer is known. The purpose of this systematic literature review was to evaluate if the prevalence of sleep disorders could be ascertained from the current body of literature regarding sleep in cancer. This was a critical and systematic review of peer-reviewed, English-language, original articles published from 1980 through 15 October 2013, identified using electronic search engines, a set of key words, and prespecified inclusion and exclusion criteria. Information from 254 full-text, English-language articles was abstracted onto a paper checklist by one reviewer, with a second reviewer randomly verifying 50% (k = 99%). All abstracted data were entered into an electronic database, verified for accuracy, and analyzed using descriptive statistics and frequencies in SPSS (v.20) (North Castle, NY). Studies of sleep and cancer focus on specific types of symptoms of poor sleep, and there are no published prevalence studies that focus on underlying sleep disorders. Challenging the current paradigm of the way sleep is studied in cancer could produce better clinical screening tools for use in oncology clinics leading to better triaging of patients with sleep complaints to sleep specialists, and overall improvement in sleep quality.Cancer Medicine 11/2014; 4(2).