scholarly journals 1209 Effect Of Wearables On Sleep In Healthy Individuals: A Randomized Cross-over Trial And Validation Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A462-A462 ◽  
Author(s):  
S Berryhill ◽  
C J Morton ◽  
A Dean ◽  
A Berryhill ◽  
N Provencio-Dean ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Slow Wave Sleep ◽  
Order Effect ◽  
Community Based ◽  
Precision Error ◽  
Sleep Quantity ◽  
Sleep Logs ◽  
Improve Sleep Quality ◽  
Nighttime Sleep

Abstract Introduction To determine whether a wearable sleep-tracker improves perceived sleep quality in healthy subjects. To test whether wearables reliably measure sleep quantity and quality compared to polysomnography. Methods A single-center randomized cross-over trial of community-based participants without medical conditions or sleep disorders. Wearable device (WHOOP, Inc.) that provided feedback regarding sleep information to the participant for 1-week and maintaining sleep logs versus 1-week of maintaining sleep logs alone. Self-reported daily sleep behaviors were documented in sleep logs. Polysomnography was performed on one night when wearing the wearable. PROMIS Sleep disturbance sleep scale was measured at baseline, 7, and 14 days of study participation. Results In 32 participants (21 women; 23.8 + 5 years), wearables improved nighttime sleep quality (PROMIS sleep disturbance; B= -1.69; 95% Confidence Interval -3.11, -0.27; P=0.021) after adjusting for age, sex, baseline, and order effect. There was a small increase in self-reported daytime naps when wearing the device (B = 3.2; SE 1.4; P=0.023) but total daily sleep remained unchanged (P=0.43). The wearable had low bias (2.5 minutes) and low precision (5.6 minutes) errors for measuring sleep duration and measured dream sleep and slow wave sleep accurately (Intra-class coefficient 0.74 + 0.28 and 0.85 + 0.15, respectively). Bias and precision error for heart rate (bias -0.17%; precision 1.5%) and respiratory rate (bias 1.8%’ precision 6.7%) were very low when compared to that measured by electrocardiogram and inductance plethysmography during polysomnography. Conclusion In healthy people, wearables can improve sleep quality and accurately measure sleep and cardiorespiratory variables. Support WHOOP Inc.

scholarly journals The Effect of Virtual Mindfulness-Based Interventions on Sleep Quality: A Systematic Review of Randomized Controlled Trials

2021 ◽  
Vol 23 (9) ◽  
Author(s):  
Amanda Jiang ◽  
Michael Rosario ◽  
Sara Stahl ◽  
Jessica M. Gill ◽  
Heather L. Rusch
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Preliminary Evidence ◽  
Delivery Method ◽  
Attrition Rates ◽  
Long Term Effect ◽  
Evidence Based Treatments ◽  
Intervention Adherence ◽  
Improve Sleep Quality

Abstract Purpose of Review We summarized peer-reviewed literature investigating the effect of virtual mindfulness-based interventions (MBIs) on sleep quality. We aimed to examine the following three questions: (1) do virtual MBIs improve sleep quality when compared with control groups; (2) does the effect persist long-term; and (3) is the virtual delivery method equally feasible compared to the in-person delivery method? Recent Findings Findings suggest that virtual MBIs are equivalent to evidence-based treatments, and to a limited extent, more effective than non-specific active controls at reducing some aspects of sleep disturbance. Overall, virtual MBIs are more effective at improving sleep quality than usual care controls and waitlist controls. Studies provide preliminary evidence that virtual MBIs have a long-term effect on sleep quality. Moreover, while virtual MBI attrition rates are comparable to in-person MBI attrition rates, intervention adherence may be compromised in the virtual delivery method. Summary This review highlights virtual MBIs as a potentially effective alternative to managing sleep disturbance during pandemic-related quarantine and stay-at-home periods. This is especially relevant due to barriers of accessing in-person interventions during the pandemic. Future studies are needed to explore factors that influence adherence and access to virtual MBIs, with a particular focus on diverse populations.

scholarly journals Sleep Patterns of Resident Physicians and the Effect of Heartfulness Meditation

2021 ◽  
pp. 097275312110390
Author(s):  
Jayaram Thimmapuram ◽  
Robert Pargament ◽  
Sonya Del Tredici ◽  
Theodore Bell ◽  
Deborah Yommer ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Onset ◽  
Onset Time ◽  
Assessment Tools ◽  
Sleep Diary ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Sleep Quantity ◽  
Resident Physicians ◽  
Improve Sleep Quality

Background: Medical residents are vulnerable to poor sleep quality due to intense work shifts and academic load. Studies objectively quantified with sleep quantity and quality among resident physicians are limited. Meditation techniques have been shown to improve sleep but are rarely studied in this population. The aim of the present study is to evaluate sleep patterns of internal medicine residents and the effect of a structured Heartfulness meditation program to improve sleep quality. Methods: A total of 36 residents participated in a pre–post cohort study from January 2019 through April 2019. Sleep was monitored during a one-week outpatient rotation with two validated assessment tools, namely consensus sleep diary and actigraphy. After four intervening weeks, when the residents returned to the same rotation, Heartfulness meditation was practiced and the same parameters were measured. At the end of the study period, an anonymous qualitative feedback survey was collected to assess the feasibility of the intervention. Results: All 36 residents participated in the study (mean age 31.09 years, SD 4.87); 34 residents (94.4%) had complete pre–post data. Consensus sleep diary data showed decreased sleep onset time from 21.03 to 14.84 min ( P = .01); sleep quality and restfulness scores increased from 3.32 to 3.89 and 3.08 to 3.54, respectively ( P < .001 for both). Actigraphy showed a change in sleep onset time from 20.9 min to 14.5 min ( P = .003). Sleep efficiency improved from 83.5% to 85.6% ( P = .019). Wakefulness after initial sleep onset changed from 38.8 to 39.9 min ( P = .682). Sleep fragmentation index and the number of awakenings decreased from 6.16 to 5.46 ( P = .004) and 41.71 to 36.37 ( P = .013), respectively. Conclusions: Residents obtained nearly 7 h of sleep during outpatient rotation. Findings suggest a structured Heartfulness meditation practice to be a feasible program to improve subjective sleep onset time and several objective measures among resident physicians.

scholarly journals The use of wearable technology to objectively measure sleep quality and physical activity among pregnant women in urban Lima, Peru: A pilot feasibility study

2020 ◽  
Author(s):  
Jerome T. Galea ◽  
Karen Ramos ◽  
Julia Coit ◽  
Lauren E. Friedman ◽  
Carmen Contreras ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Objective Assessment ◽  
Wearable Technology ◽  
Sleep Logs ◽  
Steps Per Day ◽  
Improve Sleep Quality ◽  
Pilot Feasibility Study ◽  
Mental And Physical Health

AbstractSleep quality and physical activity can affect the mental and physical health of pregnant women and their unborn babies. We investigated the feasibility of assessing sleep quality and physical activity among pregnant women in Peru. Twenty women maintained sleep logs and wore ActiSleep devices for seven consecutive days; 13 had sufficient data for analysis. Mean sleep duration was 6.9 hours (SD = 1.4). Sleep efficiency was 77.9%. Participants averaged of 6,029 steps per day (SD = 3,087). Objective assessment of sleep quality and physical activity was feasible. Wearable technology has applications in healthcare to improve sleep quality and physical activity.

scholarly journals Sleep Disturbance and its Associated Risk Factors among Pakistani Athletes

2021 ◽  
Vol 2 (1) ◽  
pp. 446-452
Author(s):  
Muhammad Shah ◽  
Dr. Farooq Hussain ◽  
Azmat Ali
Keyword(s):  
Risk Factors ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Binary Logistic Regression ◽  
Quality Of Sleep ◽  
Cross Sectional ◽  
Improve Sleep Quality ◽  
Multi Center Study ◽  
Associated Risk Factors

Sleep is increasingly being an integral part of a training routine rather than a stagnant state of inactivity, and as a controllable factor that can modify performance for elite athletes. Athletes report high rates of sleep disturbance especially during intense workloads which directly affects athletic performance and may predispose individuals to injury. This study aimed to evaluate the quality of sleep and the various risk factors associated with it among Pakistani athletes. From February to April 2020, a cross-sectional, multi-center study was conducted involving athletes aged 18 and up, of either gender, from various cities in Pakistan... A validated Urdu version of the Pittsburgh sleep quality index (PSQI) instrument was used to identify sleep quality. Out of 205 participants, n=84 athletes were bad sleepers based on PSQI score. Of whom, the majority were males n=75 (89.3%), and having age group of 18-30 years n=71 (84.5%). Binary logistic regression demonstrated no statistically significant association between any of the factor and PSQI score. The study found a disturbing quality of sleep in a considerable number of athletes. Therefore, interventions should be done to improve sleep quality so that the performance of the athletes can be improved.

scholarly journals Night-time Noise Levels and Patients’ Sleep Experiences in a Medical Assessment Unit in Northern England

2020 ◽  
Vol 14 (1) ◽  
pp. 80-91
Author(s):  
Felicity Astin ◽  
John Stephenson ◽  
Jonathan Wakefield ◽  
Ben Evans ◽  
Priyanka Rob ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sound Level ◽  
Care Quality ◽  
International Studies ◽  
Noise Levels ◽  
Medical Assessment ◽  
Night Time ◽  
Sleep Quantity ◽  
Assessment Unit

Background: Hospital in-patients need sleep so that restorative process and healing can take place. However, over one third of in-patients experience sleep disturbance, often caused by noise. This can compromise patients’ perceptions of care quality and cause physical and psychological ill health. Aims: To assess 1) in-patients sleep quality, quantity, reported sources of sleep disturbance and their suggestions for improvement 2) objectively measure decibel levels recorded at night. Methods: This descriptive study conducted in a Medical Assessment Unit used multi-methods; a semi-structured ‘sleep experience’ questionnaire administered to a purposive sample of in-patients; recording of night-time noise levels, on 52 consecutive nights, using two calibrated Casella sound level meters. Results: Patient ratings of ‘in-hospital’ sleep quantity (3.25; 2.72 SD) and quality (2.91; 2.56 SD) was poorer compared to ‘home’ sleep quantity (5.07; 2.81 SD) and quality (5.52; 2.79 SD). The difference in sleep quality (p<0.001) and quantity (p<0.001) ratings whilst in hospital, compared to at home, was statistically significant. Care processes, noise from other patients and the built environment were common sources of sleep disturbance. Participants’ suggestions for improvement were similar to interventions identified in current research. The constant noise level ranged from 38-57 decibels (equivalent to an office environment), whilst peak levels reached a maximum of 116 decibels, (equivalent to banging a car door one metre away). Conclusion: The self-rated patient sleep experience was significantly poorer in hospital, compared to home. Noise at night contributed to sleep disturbance. Decibel levels were equivalent to those reported in other international studies. Data informed the development of a ‘Sleep Smart’ toolkit designed to improve the in-patient sleep experience.

scholarly journals Enhancement of Sleep Quality and Stability Using Acoustic Stimulation During Slow Wave Sleep

2018 ◽  
Vol 5 (4) ◽  
pp. 126-134
Author(s):  
Aminollah Golrou ◽  
Ali Sheikhani ◽  
Ali Motie Nasrabadi ◽  
Mohammad Reza Saebipour
Keyword(s):  
Sleep Quality ◽  
Slow Wave ◽  
Slow Wave Sleep ◽  
Acoustic Stimulation ◽  
Deep Sleep ◽  
Quality Of Sleep ◽  
Slow Oscillations ◽  
Random Frequency ◽  
Improve Sleep Quality

Background: One of the challenges today is that the quality of sleep has weakened by many external factors, which we are not even aware of and which directly affect sleep. Sleep quality has an essential role in maintaining the cognitive function and memory consolidation of individuals. So far, various studies have been done to improve the quality of sleep by using external electrical stimulation, vestibular and olfactory system stimulation. Methods: In this study, the increase in sleep quality was considered by simultaneous acoustic stimulation in a deep sleep to increase the density of slow oscillations. Slow oscillations are the important events recorded in electroencephalography (EEG) and hallmark deep sleep. Acoustic stimulation of pink noise with random frequency ranging from 0.8 to 1.1 Hz was used to improve sleep quality. Results: Eight healthy adults (mean age: 28.4±7.8 years) studied in 3 nights under 3 conditions: accommodation night, stimulation night (STIM) and no stimulation night (SHAM), in counterbalanced order. Significant characteristics of the objective and subjective quality of sleep have been extracted from the acquired EEG and compared in the last 2 nights. Also, the arousal and cyclic alternating pattern characteristics have been measured to assess sleep stability over 2 nights of STIM and SHAM. Conclusion: Our findings confirm this goal of the study that applying designed acoustic stimulation simultaneously in the slow wave sleep (SWS) stage increases the duration of deep sleep and ultimately improves overall sleep stability and quality. Keywords: Sleep quality enhancement; Acoustic stimulation; Slow wave sleep; CAP & arousals; Sleep stability; EEG

scholarly journals Investigating sleep quality on an inpatient psychiatry ward

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S195-S195
Author(s):  
Joshua Hughes ◽  
Rhianne Thomas ◽  
Jonathan Macklin ◽  
Jonathan Owen
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Psychiatric Symptoms ◽  
Low Cost ◽  
Poor Sleep ◽  
Post Intervention ◽  
Factors Affecting ◽  
Sleep Quantity ◽  
Inpatient Settings ◽  
Sleep Length

AimsSleep is essential for optimal physiological functioning, but often interrupted in hospital settings. Disturbed sleep is associated with relapse of mood disorders and multiple comorbidities including impaired immunological function and increased cardiovascular risk. There are unique environmental challenges on psychiatry wards, such as overnight monitoring. Recent studies highlight the importance of evaluating and managing inpatient sleep disturbance. Aims include exploring the extent to which patients’ sleep is impacted by inpatient admission, elucidating causes of sleep disturbance and determining ways to improve sleep during admission.MethodPatients aged 18–65 years, who consented and were expected to be inpatients for a week, were approached after 72 hours of admission (n = 35). Quantitative and qualitative data, including on pre-hospital and hospital sleep quantity and quality, were gathered, as part of a cohort characterisation. Questionnaires using Pittsburgh Sleep Quality Index elements were used to gather data. Offering earplugs as a sleep-aid intervention was implemented, with sleep quantity and quality reassessed 72 hours post-intervention. In response to feedback, sound monitoring at regular intervals overnight was undertaken using a decibel-metre to determine noise baseline and variation.ResultAll patients approached agreed to participate. Pre-hospital average sleep quantity was 5.2 hours, with restedness score of 4.3, and 71% patients rating their sleep as ‘bad’. After 72 hours post-admission, average sleep length was 6.5 hours and restedness 5.3. Of patients who accepted earplugs (59%), there were improvements to mean sleep quality and quantity (7.6 hours), with 86% patients rating earplugs helpful. All patients surveyed thought that earplugs should be offered routinely on admission. 70% of patients were prescribed benzodiazepines or z-drugs as required. Self-reported factors affecting sleep included noise, psychiatric symptoms and medication side effects, with 13 patients mentioning the former. Sound monitoring recorded an average decibel level with a range of 35–75 dB, with peaks reaching 95 dB.ConclusionPoor sleep in hospital is widespread. There is a need to understand and address modifiable environmental and ward factors implicated in sleep disturbance within inpatient settings. Pharmacological options for sedation are common, but it is important to focus on alternative options of low-cost, non-pharmacological interventions which promote sleep optimisation and enhance inpatient care.

scholarly journals Solifenacin may improve sleep quality in patients with overactive bladder and sleep disturbance

2011 ◽  
Vol 37 (5) ◽  
pp. 676-676
Author(s):  
T Takao ◽  
A Tsujimura ◽  
K Yamamoto ◽  
S Fukuhara ◽  
J Nakayama ◽  
...  
Keyword(s):  
Overactive Bladder ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Improve Sleep Quality

scholarly journals Improving night-time sleep with hypnotic suggestions

2018 ◽  
Author(s):  
Maren Jasmin Cordi ◽  
Laurent Rossier ◽  
Björn Rasch
Keyword(s):  
Sleep Quality ◽  
Slow Wave ◽  
Sleep Disturbances ◽  
Slow Wave Sleep ◽  
Well Being ◽  
Night Time ◽  
Subjective Sleep Quality ◽  
Age Related ◽  
Improve Sleep Quality ◽  
Hypnotic Suggestions

AbstractSlow-wave sleep (SWS) is fundamental for maintaining our health and well-being, and SWS is typically reduced in stress-related sleep disturbances and age-related sleep disorders. We have previously reported that exposure to hypnotic suggestions before sleep effectively increases the duration of SWS during a midday nap in younger and older women suggestible for hypnosis.However, it remains unclear whether this beneficial effect of hypnosis on SWS can be generalized to night-time sleep and men. Therefore, we tested the effect of the hypnotic suggestions on SWS across an 8 hours night-time sleeping interval in 43 healthy young French-speaking subjects (19 males) of high and low suggestibility. In accordance with our previous results, listening to hypnotic suggestions before sleep increased the amount of SWS in highly suggestible subjects significantly by 13 min compared to a control condition in both genders. Particularly in the first hour, slow-wave activity was significantly increased after hypnosis as compared to the control night in high suggestible. The hypnosis-induced benefits on objective sleep parameters were also reflected in increased subjective sleep quality ratings. Our results demonstrate that hypnotic suggestions are an effective tool to deepen sleep and improve sleep quality also across a whole night of sleep in young healthy men and women. Our findings provide an important basis for the examination and potential application of hypnosis to improve deep sleep in populations with sleep disturbances.

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