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1038 OBJECTIVE CORRELATES OF SLEEP COMPLAINT IN CANCER PATIENTS ON CHEMOTHERAPY TELE-MONITORED AT HOME: NIGHT-BY-NIGHT ANALYSIS

Abstract Introduction: Current wrist-actigraphy parameters poorly identify the cancer patients, who subjectively report poor sleep. However, most studies average multiple nights of data, not accounting for the changes that can occur while on treatment. Hence, our aim was to understand, on a night-by...

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Bibliographic Details
Published in:Sleep (New York, N.Y.) N.Y.), 2017-04, Vol.40 (suppl_1), p.A386-A386
Main Authors: Komarzynski, S, Lévi, F, Ballesta, A, Bouchahda, M, Haydar, M, Ulusakarya, A, Morère, J, Innominato, PF
Format: Article
Language:English
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Summary:Abstract Introduction: Current wrist-actigraphy parameters poorly identify the cancer patients, who subjectively report poor sleep. However, most studies average multiple nights of data, not accounting for the changes that can occur while on treatment. Hence, our aim was to understand, on a night-by-night basis, the objective measures which best correlated with subjective sleep complaints. Methods: We investigated associations between sleep duration, timing, efficiency, latency and fragmentation, objectively measured by wrist-actigraphy, and the severity of self-rated sleep disturbance reported on the following day using a 0–10 scale questionnaire (M.D. Anderson Symptom Inventory) completed on a touch-screen computer at home. We used a dataset of 595 nights in 31 patients with advanced cancer participating in a pilot domomedicine study (inCASA project). First, we evaluated associations between actigraphy parameters and subjective sleep rating with Spearman’s correlations. Then, we categorised the objective sleep data into two groups depending on whether sleep disturbance was rated lower or higher than 2, which was previously found as corresponding to a level of intensity comfortable for the patient. Actigraphy parameters were compared in both groups using Mann-Whitney U-test. Multivariate regressions and classification and regression tree analysis were performed to identify independent predictors of subjective sleep. Results: Sleep complaint severity was negatively correlated with timing of awakening (r=-0.22, p
ISSN:0161-8105
1550-9109
DOI:10.1093/sleepj/zsx050.1037