scholarly journals Impaired sleep quality and sleep duration in smokers-results from the German Multicenter Study on Nicotine Dependence

2012 ◽  
Vol 19 (3) ◽  
pp. 486-496 ◽  
Author(s):  
Stefan Cohrs ◽  
Andrea Rodenbeck ◽  
Dieter Riemann ◽  
Bertram Szagun ◽  
Andreas Jaehne ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Nicotine Dependence ◽  
Sleep Duration ◽  
Multicenter Study ◽  
Impaired Sleep

Association between sleep duration, sleep quality and hyperlipidemia in middle-aged and older Chinese: The Dongfeng–Tongji Cohort Study

2019 ◽  
Vol 26 (12) ◽  
pp. 1288-1297 ◽  
Author(s):  
Dongming Wang ◽  
Jianghao Chen ◽  
Yun Zhou ◽  
Jixuan Ma ◽  
Min Zhou ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Models ◽  
Older Chinese ◽  
Impaired Sleep

Aims This study aimed to evaluate the relationship between sleep duration, sleep quality and hyperlipidemia in middle-aged and older Chinese. Methods We included 20,712 individuals at baseline from September 2008 to June 2010, and they were followed-up until October 2013. Hyperlipidemia was defined according to the Chinese guidelines on the prevention and treatment of dyslipidemia in adults. Sleep duration was self-reported and sleep quality was evaluated with a questionnaire that was designed according to the Pittsburgh Sleep Quality Index. Logistic regression and Cox proportional hazard models were conducted to explore the associations. Results In the cross-sectional analyses, longer sleep duration (≥10 h) was significantly associated with higher prevalence of hyperlipidemia (odds ratio (OR) = 1.17, 95% confidence interval (CI) = 1.02–1.35) after adjusting for potential confounders. The ORs of hyperlipidemia were significantly elevated among participants with impaired sleep quality (OR = 1.14, 95% CI = 1.08–1.22) and poor sleep quality (OR = 1.20, 95% CI = 1.08–1.34) when compared to those with good sleep quality. In the longitudinal analyses, compared to participants with a sleep duration of 7–<8 h, those with a sleep duration of 9–<10 h (hazard ratio (HR) = 1.19, 95% CI = 1.04–1.35) and ≥10 h (HR = 1.27, 95% CI = 1.02–1.58) showed significantly higher risk of hyperlipidemia after adjusting for potential confounders. However, no statistically significant association was found between impaired or poor sleep quality and hyperlipidemia. Conclusions Longer sleep duration was significantly associated with higher risk of hyperlipidemia. Impaired or poor sleep quality were associated with elevated prevalence of hyperlipidemia, but not with the incidence of hyperlipidemia.

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.

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 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):

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

scholarly journals Association between pet ownership and sleep in the Swedish CArdioPulmonary bioImage Study (SCAPIS)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lieve T. van Egmond ◽  
Olga E. Titova ◽  
Eva Lindberg ◽  
Tove Fall ◽  
Christian Benedict
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Odds Ratio ◽  
Poor Sleep ◽  
Pet Ownership ◽  
Poor Sleep Quality ◽  
Short Sleep Duration ◽  
Dog Walking ◽  
Dog Ownership ◽  
Using Data

AbstractPreliminary findings suggest that pets may impact the owner’s sleep. By using data from the Swedish CArdioPulmonary bIoimage Study (SCAPIS) cohort, we aimed to investigate the association of pet ownership with the following self-reported sleep outcomes in 3788 to 4574 participants: (i) achieving the recommended daily sleep duration for adults (i.e., at least 7 h per day); (ii) sleep quality as measured by the Pittsburgh Sleep Quality Index (a score of > 5 indicating poor sleep quality); and (iii) difficulty falling or staying asleep. Sleep metrics were not associated with pet ownership, dog ownership, and dog walking when controlling the logistic regression for possible confounders (e.g., shift work, lack of social interaction, and chronic stress). In contrast, cat ownership was associated with a higher odds ratio of failing to achieve the recommended duration of 7 h of sleep per day (adjusted odds ratio [95% CI]:1.18 [1.02, 1.37] versus non-cat owners). Our findings suggest that certain pet groups might have a more significant impact on the owner’s sleep than others. As the observed association between cat ownership and short sleep duration might be a chance finding, this observation should be seen as hypothesis-generating only.

Evaluation of compression-recovery and thermal characteristics of multilayer bedding textiles

2020 ◽  
Vol 32 (5) ◽  
pp. 631-643
Author(s):  
Sedat Özer ◽  
Yaşar Erayman Yüksel ◽  
Yasemin Korkmaz
Keyword(s):  
Thermal Conductivity ◽  
Sleep Quality ◽  
Thermal Comfort ◽  
Sleep Duration ◽  
Human Body ◽  
Design Methodology ◽  
Thermal Characteristics ◽  
Air Permeability ◽  
Content Type ◽  
Thermal Comfort Properties

PurposeDesign of bedding textiles that contact the human body affects the sleep quality. Bedding textiles contribute to comfort sense during the sleep duration, in addition to ambient and bed microclimate. The purpose of this study is to evaluate the effects of different layer properties on the compression recovery and thermal characteristics of multilayer bedding textiles.Design/methodology/approachIn this study, woven and knitted multilayer bedding textiles were manufactured from fabric, fiber, sponge and interlining, respectively. Different sponge thickness, fiber and interlining weight were used in the layers of samples. Later, the pilling resistance, compression and recovery, air permeability and thermal conductivity of multilayer bedding textiles were investigated.FindingsThe results indicated that samples with the higher layer weight and thickness provide better compression recovery and lower air permeability properties. It was also found that knitted surfaces show the higher air permeability than the woven surfaces depending on the fabric porosity. Layer properties have insignificant effect on the thermal conductivity values.Originality/valueWhile researchers mostly focus on thermal comfort properties of garments, there are limited studies about comfort properties of bedding textiles in the literature. Furthermore, compression recovery properties of bedding textiles have also a great importance in terms of comfort. Originality of this study is that these properties were analyzed together.

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