scholarly journals 651 Longitudinal, unobtrusive, and ecologically valid sleep metric estimation from a smart bed to predict the pathology of COVID-19

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A255-A255
Author(s):  
Dmytro Guzenko ◽  
Gary Garcia ◽  
Farzad Siyahjani ◽  
Kevin Monette ◽  
Susan DeFranco ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Predictive Model ◽  
Sleep Duration ◽  
Wearable Sensors ◽  
Test Results ◽  
Cloud Data ◽  
Cardiorespiratory Function ◽  
Group Data ◽  
Rich Information

Abstract Introduction Pathophysiologic responses to viral respiratory challenges such as SARS-CoV-2 may affect sleep duration, quality and concomitant cardiorespiratory function. Unobtrusive and ecologically valid methods to monitor longitudinal sleep metrics may therefore have practical value for surveillance and monitoring of infectious illnesses. We leveraged sleep metrics from Sleep Number 360 smart bed users to build a COVID-19 predictive model. Methods An IRB approved survey was presented to opting-in users from August to November 2020. COVID-19 test results were reported by 2003/6878 respondents (116 positive; 1887 negative). From the positive group, data from 82 responders (44.7±11.3 yrs.) who reported the date of symptom onset were used. From the negative group, data from 1519 responders (48.4±12.9 yrs.) who reported testing dates were used. Sleep duration, sleep quality, restful sleep duration, time to fall asleep, respiration rate, heart rate, and motion level were obtained from ballistocardiography signals stored in the cloud. Data from January to October 2020 were considered. The predictive model consists of two levels: 1) the daily probability of staying healthy calculated by logistic regression and 2) a continuous density Hidden Markov Model to refine the daily prediction considering the past decision history. Results With respect to their baseline, significant increases in sleep duration, average breathing rate, average heart rate and decrease in sleep quality were associated with symptom exacerbation in COVID-19 positive respondents. In COVID-19 negative respondents, no significant sleep or cardiorespiratory metrics were observed. Evaluation of the predictive model resulted in cross-validated area under the receiving-operator curve (AUC) estimate of 0.84±0.09 which is similar to values reported for wearable-sensors. Considering additional days to confirm prediction improved the AUC estimate to 0.93±0.05. Conclusion The results obtained on the smart bed user population suggest that unobtrusive sleep metrics may offer rich information to predict and track the development of symptoms in individuals infected with COVID-19. Support (if any):

259 Tracking naturalistic sleep over the menstrual cycle with a wearable in healthy young women

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A104-A104
Author(s):  
Elisabet Alzueta ◽  
Massimiliano de Zambotti ◽  
Teji Dulai ◽  
Benedetta Albinni ◽  
Katharine Simon ◽  
...  
Keyword(s):  
Heart Rate ◽  
Menstrual Cycle ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Young Women ◽  
Sleep Onset ◽  
Sleep Onset Latency ◽  
Physiological Changes ◽  
Sleep Continuity ◽  
Self Reports

Abstract Introduction A woman’s menstrual cycle is characterized by hormonal changes that might affect sleep and therefore daily functionality. While some studies using self-reports have shown a lower sleep quality in the peri-menstruation phase, objective – in lab – studies have not found significant differences in sleep continuity during the menstrual cycle, but are limited by only a few recordings across the cycle. The aim of this study is to examine changes in sleep during the healthy menstrual cycle using a multi-sensory wearable, allowing continuous, objective, reliable and ecologically valid measurement. Methods 12 healthy young women (28.14 ± 2.33) were monitored using Oura ring – a sleep and activity tracker – during an entire menstrual cycle. Participants also reported mood, readiness, and sleep quality using a diary. Four phases of the menstrual cycle were compared (menstruation, periovulation, mid-luteal, and late-luteal). Ovulation day was determined using a urinary luteinizing hormone test. Results Ovulatory cycles were confirmed by the Oura ring, which showed a significant increase in average nocturnal heart rate and skin temperature during the post-ovulatory luteal phase relative to menstruation and periovulation. Oura ring measures of sleep continuity (Sleep Onset Latency, Wake After Sleep Onset) and self-reported sleep quality did not change across the 4 menstrual phases. We observed a trend for objective sleep duration, which tended to be shorter in the mid-luteal and late-luteal phases. We also observed a small reduction in perceived readiness and mood during these two phases. Conclusion Physiological changes (increase in heart rate and body temperature) in the postovulatory phase of the menstrual cycle are detectable with the Oura ring. Sleep features remain quite stable during the healthy, ovulatory menstrual cycle, apart from a trend for slightly shorter sleep duration in the post-ovulatory phases. In comparison to self-reports, which rely on retrospective memory and might be biased by perception and mood, wearable technologies seem to be a sensitive and informative tool to track sleep and physiological changes during the menstrual cycle. Support (if any) Supported by RF1AG061355 (Baker/Mednick)

Losing Sleep Over It: Sleep in Basketball Players Affected by Game But Not Training Workloads

2020 ◽  
Vol 15 (8) ◽  
pp. 1117-1124
Author(s):  
Jordan L. Fox ◽  
Aaron T. Scanlan ◽  
Robert Stanton ◽  
Cody J. O’Grady ◽  
Charli Sargent
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Onset Time ◽  
Rating Of Perceived Exertion ◽  
Self Report ◽  
Basketball Players ◽  
Time In Bed ◽  
The Impact

Purpose: To examine the impact of workload volume during training sessions and games on subsequent sleep duration and sleep quality in basketball players. Methods: Seven semiprofessional male basketball players were monitored across preseason and in-season phases to determine training session and game workloads, sleep duration, and sleep quality. Training and game data were collected via accelerometers, heart-rate monitors, and rating of perceived exertion (RPE) and reported as PlayerLoad™ (PL), summated heart-rate zones, and session RPE (sRPE). Sleep duration and sleep quality were measured using wrist-worn activity monitors in conjunction with self-report sleep diaries. For daily training sessions and games, all workload data were independently sorted into tertiles representing low, medium, and high workload volumes. Sleep measures following low, medium, and high workloads and control nights (no training/games) were compared using linear mixed models. Results: Sleep onset time was significantly later following medium and high PL and sRPE game workloads compared with control nights (P < .05). Sleep onset time was significantly later following low, medium, and high summated heart-rate-zones game workloads, compared with control nights (P < .05). Time in bed and sleep duration were significantly shorter following high PL and sRPE game workloads compared with control nights (P < .05). Following low, medium, and high training workloads, sleep duration and quality were similar to control nights (P > .05). Conclusions: Following high PL and sRPE game workloads, basketball practitioners should consider strategies that facilitate longer time in bed, such as napping and/or adjusting travel or training schedules the following day.

Effects of Quarantine Due to the COVID-19 on Sleep Duration and Quality in Algerians

2020 ◽  
Vol 60 (2) ◽  
pp. 182-193
Author(s):  
Kacem Abdelhadi ◽  
Houar Abdelatif ◽  
Zerf Mohamed ◽  
Bengoua Ali
Keyword(s):  
Statistical Analysis ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Online Survey ◽  
Public Awareness ◽  
Italian Version ◽  
Sleep Timing ◽  
Algerian Population ◽  
Significant Change ◽  
The Impact

SummaryThis study tests the impact of COVID-19 on sleep of Algerian population before and during the COVID-19 quarantine by an estimated online survey, adapted from the PSQI Italian version. Including 1210 participants (age between 18-60 years old). The statistical analysis was carried out using SPSS version 22.0 software. Our results showed a significant change in sleeping quality during quarantine, the sleep timing markedly changed, we also noticed additional use of sleeping medications. Algerian scientists recommend to build public awareness and to provide necessary information regarding Algerian sleep quality, especially for Algerian adults.

The influence of intention implementation on throw effectiveness of young basketball players

2014 ◽  
Vol 6 (4) ◽  
Author(s):  
Dominika Wilczynska ◽  
Patrycja Lipinska ◽  
Malgorzata Wolujewicz-Czerlonko
Keyword(s):  
Heart Rate ◽  
Test Results ◽  
Basketball Players ◽  
Physical Effort ◽  
Male And Female ◽  
Mental Preparation ◽  
Physiological Cost ◽  
State Orientation ◽  
Efficiency Test ◽  
Visualization Techniques

AbstractBackground: The purpose of the following research was to find out the influence of imaginary training based on intention implementation on throw effectiveness of young basketball players, both male and female in stressogenic situations. Individual differences (action vs state orientation) between players were also measured in this research.Material/Methods: 76 players (32 females and 44 males) in the cadet category (15-16 years old) from basketball clubs of Gdansk, Gdynia and Sopot took part in this research. In the first stage all players did a throw efficiency test ERPE 05 under two conditions, and their heart rate was measured. Then players were randomly assigned to one of two groups. The first one did imaginary training based on the influence of intention implementation for 10 days, while the other did not. After 10 days ERPE 05 test under two conditions was run again.Results: Test results showed that intention implementation does not influence effectiveness improvement in stressogenic conditions as far as state-oriented players are concerned, but it does lower the physiological cost of physical effort in form of a decreased heart rate.Conclusions: This research proves that visualization training based on implementation instructions does influence young players’ physiology and significantly lowers their heart rate under stressogenic conditions. However useful, visualization techniques used in this research still need other tests and should be applied for a longer period of time to acutely show how they affect young players’ mental preparation

PENGARUH TINDAKAN MOBILISASI DINI TERHADAP DENYUT JANTUNG DAN FREKUENSI PERNAPASAN PADA PASIEN KRITIS DI ICU RSUD SLEMAN YOGYAKARTA

2019 ◽  
Vol 5 (3) ◽  
pp. 213-223
Author(s):  
Muhamat Nofiyanto ◽  
Tetra Saktika Adhinugraha
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Early Mobilization ◽  
Critical Conditions ◽  
P Value ◽  
Cardiorespiratory Function ◽  
Arterial Blood ◽  
Post Test ◽  
Critical Patients ◽  
Security Standards

Background: Patients with critical conditions in the ICU depend on a variety of tools to support their lifes. Patients’ conditions and and their unstable hemodynamic are challenges for nurses to perform mobilization. Less mobilization in critical patients can cause a variety of physical problems, one of them is cardiorespiratory function disorder. Objective: to investigate differences in heart rate (HR) and respiratory rate (RR) before, during, and immediately after early mobilization. Methods: This study employed quasi experiment with one group pre and post test design. Twenty four respondents were selected based on the criteria HR <110 / min at rest, Mean Arterial Blood Pressure between 60 to 110 mmHg, and the fraction of inspired oxygen <0.6. Early mobilization was performed to the respondents, and followed by assessments on the changes of respiratory rate and heart rate before, during, and immediately after the mobilization. Analysis of differences in this study used ANNOVA. Results: Before the early mobilization, mean RR was 22.54 and mean HR was 78.58. Immediately after the mobilization,  mean RR was 23.21 and mean HR was 80.75. There was no differences in the value of RR and HR, before and immediately after the early mobilization with the p-value of 0.540 and 0.314, respectively. Conclusions: Early mobilization of critical patients is relatively safe. Nurses are expected to perform early mobilization for critical patients. However, it should be with regard to security standards and rigorous assessment of the patient's conditions. Keywords: Early mobilization, critical patients, ICU

Family asthma management in urban children and its association with sleep outcomes

2021 ◽  
pp. 136749352110147
Author(s):  
Maria T Coutinho ◽  
Clara G Sears ◽  
Rebecca Noga ◽  
Elizabeth L McQuaid ◽  
Sheryl J Kopel ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Management Practices ◽  
Environmental Control ◽  
Asthma Management ◽  
Persistent Asthma ◽  
Structured Interview ◽  
Urban Children ◽  
Quality Data ◽  
Management Interventions

Asthma symptoms impact children’s sleep quality. However, it is unclear how families’ daily management of their child’s asthma is associated with sleep quality. We examine associations between family asthma management components and sleep duration and quality for urban children (ages 7–9 years). Additionally, we examine these associations by racial/ethnic group. Data were collected as part of a longitudinal study that examined the co-occurrence of asthma, allergic rhinitis, sleep quality, and academic functioning for urban children diagnosed with persistent asthma ( N = 196). A semi-structured interview assessed family asthma management practices. Sleep quality data were collected via actigraphy. Our visual depiction of sleep outcomes show that those with higher family asthma management ratings present with longer sleep duration and better sleep quality. Among specific family asthma management components, we found a significant association between children’s adherence to asthma medications and number of nighttime awakenings. For non-Latino Black (NLB) children, we found a significant association between environmental control and sleep duration. For urban children with asthma, clinical strategies to enhance overall family asthma management have the potential to support improved sleep quality. Additionally, for NLB children, asthma management interventions that provide environmental control practices may increase sleep duration.

621 Association of E-cigarette and Tobacco Use with Adolescent Sleep Quality

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A244-A244
Author(s):  
Clare Malhotra ◽  
Deepti Gunge ◽  
Ira Advani ◽  
Shreyes Boddu ◽  
Sedtavut Nilaad ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Latency ◽  
Depression Scale ◽  
Mean Difference ◽  
Dual Use ◽  
Safe Alternative ◽  
Wake Time ◽  
Patient Health ◽  
Targeted Marketing

Abstract Introduction Recently, targeted marketing has encouraged teen e-cigarette vaping. Although e-cigarettes are often presented as a safe alternative to conventional tobacco, their toxicity is unclear. In adults, we have previously observed a link between dual usage of e-cigarettes and tobacco with increased sleep latency. We hypothesized an association between dual usage and increased sleep latency. Methods Participants were recruited to complete social media surveys. We performed three surveys: Survey 1 (n=47) in 2018, Survey 2 (n=1198) in 2019, and Survey 3 (n=564) in 2020. Surveys 1 and 2 had three sections: past and current inhalant use, the Pittsburgh Sleep Quality Index (PSQI), and the Leicester Cough Questionnaire (LCQ). Survey 3 did not include the LCQ, instead including the Hospital Anxiety and Depression Scale (HADS) and Patient Health Questionnaire (PHQ9). The adolescent data (aged 13–20 years; n=609) were isolated. Results Adolescents reported an increase in sleep duration with increasing age by one-way ANOVA. Males reported no change with increasing age, while, by Tukey’s multiple comparisons test, females got significantly more sleep at ages 19 and 20 than at age 14(p&lt;0.01). There was no significant correlation between inhalant use and sleep duration. When broken down by gender, female dual users slept more than female nonsmokers,(p=0.01; mean difference=43.8 minutes; CI=0.11 to 1.36), while there was no difference in males. We observed a significant association between inhalant use and sleep(p=0.0008), with dual use correlated with a longer sleep latency than nonsmokers (mean difference=6.27 minutes; CI=1.40 to 11.13. We saw no correlation between inhalant use and anxiety or depression, nor between inhalant use and cough severity and prevalence. Conclusion In female adolescents, we observed a peak in sleep hours at age 19 but significantly less sleep in fourteen-year olds. College-aged females may have a later wake time relative to middle-school and high-school aged females. Dual inhalant use in females was associated with a long sleep duration, raising concern for sleep disruption caused by dual use. Dual use’s association with increased sleep latency raises concern for nicotine-induced wakefulness. Further data are required in order to define public health strategies. Support (if any) LCA is supported by NIH.

scholarly journals 653 Are Daily Variations in Sleep Quality and Quantity Related to General Stress and COVID-19-Related Anxiety?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A255-A256
Author(s):  
Veronica Hire ◽  
Casey Thurmon ◽  
Hope Snyder ◽  
Ryan Harra ◽  
Jamie Walker ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Fixed Effects ◽  
Daily Basis ◽  
Subjective Rating ◽  
Coping With Stress ◽  
Sleep Diaries ◽  
Daily Variations ◽  
General Stress ◽  
Stress Levels

Abstract Introduction Sleep modulates a number of psychological and cognitive processes, such as emotion regulation, executive control, and coping with stress. It is therefore not surprising that insufficient sleep quality or quantity are associated with greater self-reported stress levels. The COVID-19 pandemic has led to a particularly stressful and unprecedented time in history. While stress has been undoubtedly high during the past year, it’s less clear to what extent sleep has affected people’s perceived stress on a daily basis. The aim of this research was to estimate whether daily variations in sleep quality and duration were associated with general stress and/or stress related to COVID-19. Methods The study used a nationally representative sample to assess daily variations in sleep and stress for a period of two weeks during the COVID-19 pandemic. Morning assessments were conducted using online sleep diaries. These diaries were used to estimate sleep duration (in minutes) and sleep quality (subjective rating on a 5-point Likert scale). Evening assessments were also completed online and prompted participants to rate (0 to 100) their current “general” stress level, as well as their current anxiety in relation to COVID-19. Separate mixed effects models were conducted with days (Level 1) nested within participants (Level 2). Stress variables were lagged by a day to estimate the association between sleep (AM assessment) and stress (PM assessment). TST and SQ were entered as fixed effects and intercepts were allowed to vary randomly. Results 4,048 participants (Mage = 46.3 years; 78% women) were included as part of the analyses. The results supported that lower self-reported sleep quality predicted greater general stress levels (b = -1.43, p &lt; 0.001). Lower self-reported sleep quality also predicted greater COVID-19 related anxiety (b = -0.543, p &lt; 0.001). In contrast, sleep duration was not significantly related to general stress or COVID-19 anxiety after controlling for sleep quality. Conclusion The present data supports that daily variations in sleep quality are related to a person’s overall stress levels and COVID-19 anxiety. These findings may have implications for the role of good sleep in mitigating the increases in stress that have resulted from the COVID-19 pandemic. Support (if any) Vargas: K23HL141581

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