Objective: The purpose of this study was to investigate the effects of mindfulness-based stress reduction for breast cancer survivors (MBSR(BC)) on multiple measures of objective and subjective sleep parameters among breast cancer survivors (BCS).
Methods: Data were collected using a two-armed randomized controlled design among BCS enrolled in either a 6-week MBSR(BC) program or a usual care (UC) group with a 12-week follow-up. The present analysis is a subset of the larger parent trial (ClinicalTrials.gov Identifier: NCT01177124). Seventy-nine BCS participants (mean age 57 years), stages 0-III, were randomly assigned to either the formal (in-class) 6-week MBSR(BC) program or UC. Subjective sleep parameters (SSP) (i.e., sleep diaries and the Pittsburgh Sleep Quality Index (PSQI)) and objective sleep parameters (OSP) (i.e., actigraphy) were measured at baseline, 6 weeks, and 12 weeks after completing the MBSR(BC) or UC program.
Results: Results showed indications of a positive effect of MBSR(BC) on OSP at 12 weeks on sleep efficiency (78.2% MBSR(BC) group versus 74.6% UC group, p = 0.04), percent of sleep time (81.0% MBSR(BC) group versus 77.4% UC group, p = 0.02), and less number waking bouts (93.5 in MBSR(BC) group versus 118.6 in the UC group, p < 0.01). Small nonsignificant improvements were found in SSP in the MBSR(BC) group from baseline to 6 weeks (PSQI total score, p = 0.09). No significant relationship was observed between minutes of MBSR(BC) practice and SSP or OSP.
Conclusions: These data suggest that MBSR(BC) may be an efficacious treatment to improve objective and subjective sleep parameters in BCS.
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http://dx.doi.org/10.1002/pon.3603 | DOI Listing |
Sleep Breath
December 2024
Department of Anatomy, Faculty of Medicine, Istanbul Medeniyet University, Istanbul, Türkiye.
Objective: This study investigated the effects of sleep deprivation (SD) on balance after normal sleep, 24 h of SD, and subsequent rest under eyes-open (EO) and eyes-closed (EC) conditions. Our aim was to ascertain whether the reduced efficiency of balance control following SD is generalized or selective.
Method: Nineteen participants (12 females, 7 males) completed the Pittsburgh Sleep Quality Index (PSQI).
JMIR Form Res
December 2024
Department of Sports Science, College of Education, Zhejiang University, No. 866, Yuhangtang Road, Hangzhou, 310030, China, 86 18667127699.
Background: Smartwatches are increasingly popular for physical activity and health promotion. However, ongoing validation studies on commercial smartwatches are still needed to ensure their accuracy in assessing daily activity levels, which is important for both promoting activity-related health behaviors and serving research purposes.
Objective: This study aimed to evaluate the accuracy of a popular smartwatch, the Huawei Watch GT2, in measuring step count (SC), total daily activity energy expenditure (TDAEE), and total sleep time (TST) during daily activities among Chinese adults, and test whether there are population differences.
JMIR Ment Health
December 2024
Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Drive, Princeton, NJ, 08540, United States, 1 609 535 9035.
Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor technology allow for real-world sleep-wake monitoring.
Objective: The goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting.
Objectives: This retrospective study aims to evaluate the efficacy of continuous positive airway pressure (CPAP) therapy in treating severe obstructive sleep apnea (OSA), based on polysomnographic parameters, and to highlight the importance of hospital-based titration in optimizing treatment and guiding choices of alternative ventilation modes.
Methods: Sixty-nine patients (n=69, 100%), predominantly female (n=49, 71%), were included in the study. Polysomnographic data were collected during hospital-based CPAP titration.
J Clin Monit Comput
December 2024
Department of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
EEG monitoring during anesthesia or for diagnosing sleep disorders is a common standard. Different approaches for measuring the important information of this biosignal are used. The most often and efficient one for entropic parameters is permutation entropy as it can distinguish the vigilance states in the different settings.
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