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      Validation of actigraphy to assess circadian organization and sleep quality in patients with advanced lung cancer

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          Abstract

          Background

          Many cancer patients report poor sleep quality, despite having adequate time and opportunity for sleep. Satisfying sleep is dependent on a healthy circadian time structure and the circadian patterns among cancer patients are quite abnormal. Wrist actigraphy has been validated with concurrent polysomnography as a reliable tool to objectively measure many standard sleep parameters, as well as daily activity. Actigraphic and subjective sleep data are in agreement when determining activity-sleep patterns and sleep quality/quantity, each of which are severely affected in cancer patients. We investigated the relationship between actigraphic measurement of circadian organization and self-reported subjective sleep quality among patients with advanced lung cancer.

          Methods

          This cross-sectional and case control study was conducted in 84 patients with advanced non-small cell lung cancer in a hospital setting for the patients at Midwestern Regional Medical Center (MRMC), Zion, IL, USA and home setting for the patients at WJB Dorn Veterans Affairs Medical Center (VAMC), Columbia, SC, USA. Prior to chemotherapy treatment, each patient's sleep-activity cycle was measured by actigraphy over a 4-7 day period and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire.

          Results

          The mean age of our patients was 62 years. 65 patients were males while 19 were females. 31 patients had failed prior treatment while 52 were newly diagnosed. Actigraphy and PSQI scores showed significantly disturbed daily sleep-activity cycles and poorer sleep quality in lung cancer patients compared to healthy controls. Nearly all actigraphic parameters strongly correlated with PSQI self-reported sleep quality of inpatients and outpatients.

          Conclusions

          The correlation of daily activity/sleep time with PSQI-documented sleep indicates that actigraphy can be used as an objective tool and/or to complement subjective assessments of sleep quality in patients with advanced lung cancer. These results suggest that improvements to circadian function may also improve sleep quality.

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          Most cited references19

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          Automatic sleep/wake identification from wrist activity.

          The purpose of this study was to develop and validate automatic scoring methods to distinguish sleep from wakefulness based on wrist activity. Forty-one subjects (18 normals and 23 with sleep or psychiatric disorders) wore a wrist actigraph during overnight polysomnography. In a randomly selected subsample of 20 subjects, candidate sleep/wake prediction algorithms were iteratively optimized against standard sleep/wake scores. The optimal algorithms obtained for various data collection epoch lengths were then prospectively tested on the remaining 21 subjects. The final algorithms correctly distinguished sleep from wakefulness approximately 88% of the time. Actigraphic sleep percentage and sleep latency estimates correlated 0.82 and 0.90, respectively, with corresponding parameters scored from the polysomnogram (p < 0.0001). Automatic scoring of wrist activity provides valuable information about sleep and wakefulness that could be useful in both clinical and research applications.
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            Sleep disturbances and chronic disease in older adults: results of the 2003 National Sleep Foundation Sleep in America Survey.

            To assess the association between sleep problems and chronic disease in older adults. Self-reported standardized questionnaire data from 1506 community-dwelling men and women aged 55-84 years in the continental United States who completed a 20-min telephone interview when contacted from lists of randomly selected telephone numbers. A majority of the participants (83%) reported one or more of 11 medical conditions and nearly one in four elderly respondents (age 65-84 years) had major comorbidity (i.e. four or more conditions). Depression, heart disease, bodily pain and memory problems were associated with more prevalent symptoms of insomnia. Other conditions such as obesity, arthritis, diabetes, lung diseases, stroke and osteoporosis were associated with other sleep-related problems such as breathing pauses, snoring, daytime sleepiness, restless legs or insufficient sleep (<6 h nightly). Poll findings are consistent with epidemiological studies of sleep, aging and chronic disease. These results suggest that the sleep complaints common in older adults are often secondary to their comorbidities and not to aging per se. These types of studies may be useful in promoting sleep awareness among health professionals and among older adults, especially those with heart disease, depression, chronic bodily pain or major comorbidity.
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              Methods for cosinor-rhythmometry.

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                Author and article information

                Journal
                J Circadian Rhythms
                Journal of Circadian Rhythms
                BioMed Central
                1740-3391
                2011
                18 May 2011
                : 9
                : 4
                Affiliations
                [1 ]Cancer Treatment Centers of America at Midwestern Regional Medical Center, Zion, IL, USA
                [2 ]Medical Chronobiological Laboratory, Dorn Research Institute, WJB Dorn VA Medical Center, Columbia, SC, USA
                [3 ]School of Medicine, University of South Carolina, Columbia, SC, USA
                [4 ]School of Public Health Cancer Prevention and Control Program, University of South Carolina, Columbia, SC, USA
                [5 ]School of Engineering and Information Technology, University of South Carolina, Columbia, SC, USA
                [6 ]University of Illinois School of Public Health, Chicago, IL, USA
                Article
                1740-3391-9-4
                10.1186/1740-3391-9-4
                3113323
                21592392
                0f8bdf8f-1cb2-4a8b-9f4c-87d4e51a196c
                Copyright ©2011 Grutsch et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 February 2011
                : 18 May 2011
                Categories
                Research

                Cell biology
                Cell biology

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