Impact of lifestyle and technology developments on sleep

Consumption of fruits and vegetables and its association with sleep duration among Finnish adult population: a nationwide cross-sectional study

Introduction

Sleep and diet are crucial determinants of overall health and wellbeing, with the potential to mutually influence each other. This study examined the association between sleep duration and fruits and vegetables (FV) consumption among Finnish adults.

Methods

The study analyzed data from the National FinHealth 2017 Study involving 5,043 adults aged 18 years and above. Participants reported their habitual sleep duration, and dietary consumption through a validated self-administered questionnaire. Confounders such as demographic, socio-economic factors, and chronotype were considered. A sensitivity analysis, which excluded energy under-reporters, was conducted to validate the findings.

Results

Mean dietary consumption was compared across three sleep duration categories (short, normal, long), revealing that short sleepers consumed 37 g/d fewer FV, and long sleepers consumed 73 g/d fewer FV than normal sleepers. Binary logistic regression analyses consistently demonstrated significant negative association between FV consumption and both short and long sleep duration across all models, even when adjusted for a range of covariates. Linear regression analyses revealed a positive but non-significant association between sleep duration and FV consumption that became significant when excluding energy under-reporters, particularly in model 1.

Discussion

This study suggests a consistent pattern where deviation from normal sleep duration was associated with decreased FV consumption, suggesting the need for considering sleep patterns in dietary intervention. The substantial role of accurate energy reporting in explaining these associations is highlighted. Further research, including longitudinal studies, is needed to better understand the mechanisms underlying these associations.

Photomodulatory effects in the hypothalamus of sleep-deprived young and aged rats

Insufficient sleep is associated with impaired hypothalamic activity and declined attentional performance. In this study, alterations in the hypothalamus of REM sleep-deprived (SD) young and aged rats, and the modulatory effect of near-infrared (NIR) laser were investigated. Forty-eight male Wistar rats (24 young at 2 months and 24 senile at 14 months) were divided into three groups: the control, the SD group subjected to 72 hr of sleep deprivation, and the transcranial-NIR laser-treated (TLT) group subjected to SD for 72 hr and irradiated with 830 nm laser. The hypothalamic levels of oxidative stress, inflammatory biomarkers, antioxidant enzymes, mitochondrial cytochrome C oxidase (CCO), apoptotic markers (BAX, BCL-2), and neuronal survival-associated genes (BDNF, GLP-1) were evaluated. Furthermore, the hypothalamic tissue alterations were analyzed via histological examination. The results revealed that TLT treatment has enhanced the antioxidant status, prevented oxidative insults, suppressed neuroinflammation, regulated CCO activity, reduced apoptotic markers, and tuned the survival genes (BDNF & GLP-1) in hypothalamic tissue of SD young and aged rats. Microscopically, TLT treatment has ameliorated the SD-induced alterations and restored the normal histological features of hypothalamus tissue. Moreover, the obtained data showed that SD and NIR laser therapy are age-dependent. Altogether, our findings emphasize the age-dependent adverse effects of SD on the hypothalamus and suggest the use of low-laser NIR radiation as a potential non-invasive and therapeutic approach against SD-induced adverse effects in young and aged animals.

Investigation of the correlation between internet addiction, obesity risk and sleep disorder in children

AIM

This study was performed with the aim of investigating the correlation and the effective factors between internet addiction, obesity risk and sleep disorders in children.

MATERIAL AND METHOD

The sample for this descriptive and relational search type study comprised the parents of 458 children aged 7-10 years attending a primary school in Turkey. Data were collected the Parent and Child Descriptive Information Form, Family Child Internet Addiction Scale (FCIAS), Family Nutrition and Physical Activity Tool (FNPAT) and Sleep Disturbance Scale for Children (SDSC).

RESULTS

There was a statistically significant, positive and weak correlation between the Body Mass Index (BMI) and FCIAS scores of children (p < 0.001). There was a statistically significant, negative and very weak correlation between FNPAT total score with FCIAS total score (p = 0.007). There was a statistically significant, positive and moderate correlation between SDSC total score and FCIAS total score (p < 0.001). According to regression analysis, FCIAS was a determinant at significant levels for FNPAT and SDSC (p < 0.05).

CONCLUSION

There was a relationship between internet addiction and obesity and sleep quality. As a result of the study, the increase in internet use was determined to negatively impact physical activity and health nutrition behavior, and to increase sleep disturbance.

IMPLICATIONS FOR PRACTICE

Pediatric nurses are recommended to give counseling to children and families about preventing obesity and the risk of sleep disorders by identifying children at risk in terms of internet addiction in the early period.

Causal influence of sleeping phenotypes on the risk of coronary artery disease and sudden cardiac arrest: A Mendelian randomization analysis

OBJECTIVES

To assess the causal influence of sleep and circadian traits on coronary artery disease and sudden cardiac arrest with adjustment for obesity through a two-sample Mendelian randomization study.

METHODS

We used summary statistics of 5 sleep and circadian traits for genome-wide association studies, including chronotype, sleep duration, long sleep (≥9 h a day), short sleep (<7 h a day), and insomnia (sample size range: 237,622-651,295). Coronary artery disease genome-wide association studies with 60,801 cases and 123,504 controls, sudden cardiac arrest genome-wide association studies with 3939 cases and 25,989 controls, and obesity genome-wide association studies with 806,834 individuals were also used. Multivariable Mendelian randomization was performed to estimate the causality.

RESULTS

After adjusting for obesity, genetically predicted short sleep (odds ratio = 1.87 and p = .02), and genetically predicted insomnia (odds ratio = 1.17 and p = .001) were causally associated with increased odds of coronary artery disease. Genetically predicted long sleep (odds ratio = 0.06 and p = .02) and genetically predicted longer sleep duration (odds ratio = 0.36 for per-hour increase in sleep duration and p = .0006) were causally associated with decreased odds of sudden cardiac arrest.

CONCLUSIONS

The findings of this Mendelian randomization study indicate that insomnia and short sleep contribute to the development of coronary artery disease, whereas a longer sleep duration protects from sudden cardiac arrest, independent of the influence of obesity. The mechanisms underlying these associations warrant further investigation.

Antidepressant mechanisms of ketamine: a review of actions with relevance to treatment-resistance and neuroprogression

Concurrent with recent insights into the neuroprogressive nature of depression, ketamine shows promise in interfering with several neuroprogressive factors, and has been suggested to reverse neuropathological patterns seen in depression. These insights come at a time of great need for novel approaches, as prevalence is rising and current treatment options remain inadequate for a large number of people. The rapidly growing literature on ketamine's antidepressant potential has yielded multiple proposed mechanisms of action, many of which have implications for recently elucidated aspects of depressive pathology. This review aims to provide the reader with an understanding of neuroprogressive aspects of depressive pathology and how ketamine is suggested to act on it. Literature was identified through PubMed and Google Scholar, and the reference lists of retrieved articles. When reviewing the evidence of depressive pathology, a picture emerges of four elements interacting with each other to facilitate progressive worsening, namely stress, inflammation, neurotoxicity and neurodegeneration. Ketamine acts on all of these levels of pathology, with rapid and potent reductions of depressive symptoms. Converging evidence suggests that ketamine works to increase stress resilience and reverse stress-induced dysfunction, modulate systemic inflammation and neuroinflammation, attenuate neurotoxic processes and glial dysfunction, and facilitate synaptogenesis rather than neurodegeneration. Still, much remains to be revealed about ketamine's antidepressant mechanisms of action, and research is lacking on the durability of effect. The findings discussed herein calls for more longitudinal approaches when determining efficacy and its relation to neuroprogressive factors, and could provide relevant considerations for clinical implementation.

The Effect of Healthy Mental Lifestyle Package On Sleep Quality, Mental Health, and Lifestyle of Substance Users

Background

The aim of this study was to assess the effect of a training package based on the lived experience of substance abusers on sleep problems and mental health.

Materials and Methods

The current study was performed on 70 subjects equally distributed into two groups of control and intervention, Data collection tools included the Pittsburgh Sleep Quality Index (PSQI), the General Health Questionnaire (GHQ), and the Basic Adlerian Scales for Interpersonal Success-Adult Form (BASIS-A) Inventory. Data analysis was administered using the independent t-test, paired t-test, and MANCOVA. Statistical significance was considered when the P value < 0.05.

Results

A total of 70 subjects participated in this study; 7 (10.6%) were females and 59 (89.4%) were males, with a mean age of 36.29 ± 8.588 years. The total score of PSQI was 12.48 (±4.206) and 13.16 (±3.397) for control and intervention groups, respectively, and declined to 12.33 (±4.442) and 9.56 (±4.45) after the intervention. The intervention resulted in an improved score for scales of belonging, going along, taking charge, harshness, being liked by all, and striving for perfection. Whereas the total score of the GHQ is reduced for both groups, that in the intervention group showed a higher decrease, which was also statistically significant.

Conclusion

The developed training package successfully improved participants' sleep quality, mental health, and lifestyle.

Comparative impact of yoga and ayurveda practice in insomnia: A randomized controlled trial

BACKGROUND

Insomnia is connected with a lifted hazard for neurocognitive dysfunction and psychiatric disarranges. Clinical observations of psychosomatic patients indicate that their distorted somatopsychic functioning necessitates their practice of yoga-like therapy. Sleep and its modifications and management have also been explained well in ayurveda. This study aimed to compare the effectiveness of Yoga and Nasya Karma on the sleep quality, stress, cognitive function, and quality of life of people suffering from acute insomnia.

MATERIAL AND METHODS

It was an open-label, randomized controlled trial. A total of 120 participants were randomly (computer-generated randomization) equally allocated to three groups, yoga group (G-1), ayurveda group (G-2), and control group (G-3). All the groups were assessed on the first day before the start of the yoga regime and the 48^th day. Participants in the study were included in the age group of 18 to 45 years, fulfilling DSM-V criteria for insomnia, physically fit for the yoga module, and Nasya procedure. Outcomes were measured by the Pittsburgh Sleep Quality Index (PSQI) questionnaire, Perceived Stress Scale (PSS), cognitive failure questionnaire, and WHO Quality of Life Scale-Brief (WHOQOL-Brief). Proportions and frequencies were described for categorical variables and compared using the Chi-square test. ANOVA (one-way) and post hoc analysis, Bonferroni test, were performed for multiple comparisons in groups at a significance level of P < 0.05 using SPSS (23 version).

RESULTS

A total of 112 participants were analyzed as per protocol analysis. All groups have observed significant mean differences for stress (<0.05) and sleep quality (<0.05). All five aspects of quality of life - general health (<0.05), physical health (<0.01), psychological health (<0.05), social health (<0.05), and environmental health (<0.05) - had a significant mean difference in all three groups. All three aspects of cognitive failure, forgetfulness (<0.05), distractibility (<0.05), and false triggers (<0.01) had a significant mean difference in scores for all three groups.

CONCLUSION

Yoga practice was effective, followed by ayurveda and the control group in reducing stress and improving sleep, cognitive function, and quality of life.

Determinants of Daytime Sleepiness Among Middle-Aged Adults

Daytime sleepiness is highly prevalent in middle-aged adults and has a detrimental impact on their quality of life. Our study examined the psychological and behavioral determinants of daytime sleepiness among adults aged 35 to 64 years. The main variables of interest were psychological factors (perceived stress and anxiety), physical activity factors (moderate-to-vigorous physical activity and sedentary behaviors), and dietary factors (fat, sugar, fruit, and vegetable intake). Partial correlation and multiple linear regression were conducted to determine their associations with daytime sleepiness, with adjustment for covariates. Our sample included 87 adults with a mean age of 47 ± 9 years. About 21% met the criterion for excessive daytime sleepiness. Greater anxiety, longer time spent in sedentary behaviors, and higher consumption of foods rich in trans fat, sugar, and calories were independently associated with higher daytime sleepiness levels. Targeted interventions or treatments are warranted to address the identified risk factors for middle-aged adults.

Trends and socioeconomic inequities in insomnia-related symptoms among Japanese adults from 1995 to 2013

BACKGROUND

Although insomnia prevalence is increasing in developed countries, little is known about trends in sleep problems among Japanese adults according to socioeconomic status. Therefore, we aimed to determine trends and socioeconomic inequalities in insomnia-related symptom (IRS) in Japan using nationally representative data.

METHODS

The IRSs were based on past subjective sleeping difficulty. Using data from the Comprehensive Survey of Living Conditions for every 3 years from 1995 to 2013, we built multivariable Poisson regression models, with IRS as an outcome and survey year and socioeconomic status variables as explanatory variables.

RESULTS

Data from 513,223 Japanese adults were analyzed. Age- and sex-adjusted IRS prevalence was the lowest in 1995, highest in 2007, and decreased from 2007 to 2013. The IRSs were more frequently reported in unemployed or self-employed individuals aged 20-64 years; those with the lowest household expenditure level, except among women aged ≥65 years; and those divorced, separated, or single, especially among women aged 20-64 years.

LIMITATIONS

First, the repeated cross-sectional study design prevented the exclusion of the possibility of reversal of causality between factors. Second, data on insomnia-related lifestyle behaviors were unavailable. Third, the IRSs examined did not meet established clinical criteria for clinical insomnia. Fourth and fifth, information and selection biases could exist because of self-reported data and a small sample size, respectively.

CONCLUSIONS

These results could aid in developing more effective prevention strategies for sleep problems and provide benchmarks for monitoring sleep health trends in Japan and other East Asian countries.

The role of insufficient sleep and circadian misalignment in obesity

Traditional risk factors for obesity and the metabolic syndrome, such as excess energy intake and lack of physical activity, cannot fully explain the high prevalence of these conditions. Insufficient sleep and circadian misalignment predispose individuals to poor metabolic health and promote weight gain and have received increased research attention in the past 10 years. Insufficient sleep is defined as sleeping less than recommended for health benefits, whereas circadian misalignment is defined as wakefulness and food intake occurring when the internal circadian system is promoting sleep. This Review discusses the impact of insufficient sleep and circadian misalignment in humans on appetite hormones (focusing on ghrelin, leptin and peptide-YY), energy expenditure, food intake and choice, and risk of obesity. Some potential strategies to reduce the adverse effects of sleep disruption on metabolic health are provided and future research priorities are highlighted. Millions of individuals worldwide do not obtain sufficient sleep for healthy metabolic functions. Furthermore, modern working patterns, lifestyles and technologies are often not conducive to adequate sleep at times when the internal physiological clock is promoting it (for example, late-night screen time, shift work and nocturnal social activities). Efforts are needed to highlight the importance of optimal sleep and circadian health in the maintenance of metabolic health and body weight regulation.

Examining bedtime procrastination, study engagement, and studyholism in undergraduate students, and their association with insomnia

Introduction

Compulsive overstudying, known as studyholism, is an emerging behavioral addiction. In this study, we examine the prevalence of, and the relationships between, insomnia, study engagement, studyholism, bedtime procrastination among undergraduate students.

Methods

The Studyholism (SI-10), Athens Insomnia (AIS), and bedtime procrastination scales were administered to a convenience sample of 495 university students.

Results

Our findings indicate that the prevalence of insomnia was 75.31%, high studyholism was found in 15.31% of the sample, and increased study engagement was detected in 16.94%. Gender differences analysis revealed that females reported higher studyholism and bedtime procrastination than males. Fifth-year students had higher levels of studyholism than internship (p < 0.001), first-year (p < 0.01), and sixth-year students (p < 0.05). Insomnia was positively related to studyholism and bedtime procrastination. Furthermore, insomnia can be positively predicted by studyholism and bedtime procrastination. Participants with a medium level of studyholism were twice as likely to experience insomnia as those with a low level. Studyholics were six times more susceptible to insomnia than students with low studyholism levels. Compared to individuals with low bedtime procrastination levels, those with medium and high bedtime procrastination were twice as likely to report insomnia.

Conclusion

Our study highlights the interplay between insomnia, studyholism, and bedtime procrastination. Further, the findings indicate the need to increase awareness of insomnia.

Nutritional Elements in Sleep

Sleep comprises one-third of our day and plays an integral role in human health and well-being. Many factors influence sleep, with nutrition being a key element that impacts various sleep parameters. Meal-timing through strategies like chrono-nutrition leads to positive sleep outcomes. In addition, consuming a high-protein diet with essential amino acids, low-glycemic-index foods, and certain fruits rich in antioxidants can all contribute to better sleep quality. Other facets of nutrition that can affect sleep outcomes include weight loss and limiting certain nutritional elements such as caffeine, nicotine, and alcohol. In this article, we will shed some light on how some of these factors can play a vital role in sleep quality.

Risk factors for the prevalence of poor sleep quality in lecturers during COVID-19 pandemic in Ethiopia: an institution-based cross-sectional study

OBJECTIVE

This study was conducted to assess the prevalence and risk factors of poor sleep quality (SQ) among the academic staff at the University of Gondar, Northwestern Ethiopia.

DESIGN

An institution-based cross-sectional study was conducted from March to April 2021. A validated, self-administered, standardised Pittsburgh Sleep Quality Index (PSQI) was used to quantify the amount of self-reported poor SQ. The collected data were entered into EpiData V.4.6 and analysed using Stata V.14 software. Binary logistic regressions were computed to determine the association between variables. The association was determined using an adjusted OR (AOR) with a 95% CI at a p value of <0.05.

SETTING

The study was conducted at the University of Gondar, Northwestern Ethiopia.

PARTICIPANTS

A total of 607 lecturers participated in this study.

OUTCOME MEASURES

The primary outcome is the prevalence of poor SQ, which was measured using the PSQI.

RESULTS

Overall response rate was 95.60% (N=607). The age of the participants ranges from 21 to 70 with a mean of 32.39 (SD±6.80) years. The magnitude of poor SQ during the COVID-19 pandemic in the last month was 60.30% (95% CI (56.28% to 64.21%)). Working greater than 10 hours per day (AOR=2.19, 95% CI (1.16 to 4.27)), electronic device use before bedtime (AOR=1.53, 95% CI (1.04 to 2.27)), high-risk perception of COVID-19 infections (AOR=1.60, 95% CI (1.04 to 2.46)) and perceived job stress (AOR=2.15 (95% CI (1.50 to 3.08)) were risk factors for poor SQ.

CONCLUSION

The study revealed that the prevalence of poor SQ was high during the COVID-19 pandemic. The finding highlights the importance of optimising the working hours per day, minimising electronic device use before bedtime, promoting risk perception toward COVID-19 infection and developing workplace coping strategies for stress, which play a substantial role in minimising poor SQ.

Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity

Recent advances have enabled the creation of wireless, “dry” electroencephalography (EEG) recording systems, and easy-to-use engaging tasks, that can be operated repeatedly by naïve users, unsupervised in the home. Here, we evaluated the validity of dry-EEG, cognitive task gamification, and unsupervised home-based recordings used in combination. Two separate cohorts of participants—older and younger adults—collected data at home over several weeks using a wireless dry EEG system interfaced with a tablet for task presentation. Older adults (n = 50; 25 females; mean age = 67.8 years) collected data over a 6-week period. Younger male adults (n = 30; mean age = 25.6 years) collected data over a 4-week period. All participants were asked to complete gamified versions of a visual Oddball task and Flanker task 5–7 days per week. Usability of the EEG system was evaluated via participant adherence, percentage of sessions successfully completed, and quantitative feedback using the System Usability Scale. In total, 1,449 EEG sessions from older adults (mean = 28.9; SD = 6.64) and 684 sessions from younger adults (mean = 22.87; SD = 1.92) were collected. Older adults successfully completed 93% of sessions requested and reported a mean usability score of 84.5. Younger adults successfully completed 96% of sessions and reported a mean usability score of 88.3. Characteristic event-related potential (ERP) components—the P300 and error-related negativity—were observed in the Oddball and Flanker tasks, respectively. Using a conservative threshold for inclusion of artifact-free data, 50% of trials were rejected per at-home session. Aggregation of ERPs across sessions (2–4, depending on task) resulted in grand average signal quality with similar Standard Measurement Error values to those of single-session wet EEG data collected by experts in a laboratory setting from a young adult sample. Our results indicate that easy-to-use task-driven EEG can enable large-scale investigations in cognitive neuroscience. In future, this approach may be useful in clinical applications such as screening and tracking of treatment response.

Impairment of executive functions due to sleep alterations: An integrative review on the use of P300

Objective

Cognitive impairment due to sleep deprivation (SD) is an important global health concern as part of the growing rates of sleep disorders and sleep deprivation worldwide. Amongst the affected cognitive processes, the effects of SD on the executive functions (EFs) show diverse methods and inconclusive or contradictory results, highlighting the importance of further research in this field. Considering this scenario, we evaluate one of the most used methods for objectively evaluating EFs on SD: the event-related potential (ERP) P300.

Methods

Our study provides a comprehensive review on the use of P300 for evaluating executive functions in sleep alterations on subjects of all ages, as well as an analysis on the efficiency of P300 as an assessment method for executive functions compared to traditional neurocognitive batteries. We review the benefits of P300 application for multiple sleep/wake alterations, whether evoked in laboratory or as part of pre-existing sleep disorders.

Results

We assess the diverse protocols used to elicit and complement P300, the most identified alterations in amplitude and latency, and suggest new lines of study that could benefit from P300 within the field.

Conclusion

We conclude that P300 is a valuable asset for evaluating executive dysfunction under sleep deprivation both as a standalone protocol and in conjunction with subjective methods, with consistently significant results in assessing executive dysfunction in a diversity of subjects and etiologies.

Trait Anxiety Does Not Predict the Anxiogenic Response to Sleep Deprivation

Sleep deprivation has in several studies been found to increase anxiety. However, the extent to which this anxiogenic effect depends on one’s underlying trait anxiety has not previously been determined. Using two separate sleep-loss experiments, the current research investigated whether trait anxiety (STAI-T) moderates the increase in state anxiety (STAI-S) following one night of total sleep loss (study 1, N = 182, age 25.3 ± 6.5, 103 women) and two nights of partial sleep restriction (study 2, N = 67, age 26.5 ± 7.4, 38 women). Both studies showed the expected anxiogenic effect of sleep loss, and a clear relationship between trait anxiety and state anxiety. However, the anxiogenic effect of sleep loss was not moderated by trait anxiety, as there was an equal impact regardless of trait anxiety level. These findings indicate that, although sleep loss is related to general anxiety as well as anxiety disorders, for a non-clinical sample the anxiogenic effect of short-term sleep loss is not affected by baseline levels of anxiety.

Post-Work Recovery from Fatigue and Sleep Episodes among Nurses Who Are Engaged in 16-Hour Night Shifts: A Prospective Observational Study

Poor recovery from fatigue among shift-working nurses can cause a transition from acute to chronic fatigue. We aimed to clarify the relationship between nurses' recovery from fatigue and sleep episodes after 16 h night shifts while considering age. This prospective study included 62 nurses who worked 16 h night shifts. Fatigue was assessed by a questionnaire before, during, and after the night shift, and the morning following the night shift. Sleep episodes were continuously measured using a wearable device. We performed a hierarchical cluster analysis of multivariate sleep parameters in first and main sleep episodes after night shifts. A linear mixed model was used to estimate the difference between clusters in recovery from fatigue after the night shift, considering age. The participants were classified into a high sleep quality group (HSQG) and low sleep quality group (LSQG) in sleep episodes after the night shift. There was a significant main effect of clusters, and HSQG was significantly more effective than LSQG in recovering from fatigue. However, no main effects of age or interaction were observed. The quality of first and main sleep episodes at home was associated with recovery from the night shift to the next day, regardless of age.

Sleep disturbances among women in a Subarctic region: a nationwide study

STUDY OBJECTIVES

To date, few studies have assessed sleep problems among women residing in Subarctic regions. Therefore, the aim of this large-scale population-based study was to assess the prevalence of severe sleep problems and associated factors among Icelandic women, living at 63-66°N.

METHODS

Participants were 29 681 women (18-69 years old) who took part in the Icelandic Stress-And-Gene-Analysis study in 2018-2019. Background information, health-related behavior, and mental health symptoms were assessed with an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) was used to assess severe sleep problems during the past month. Adjusting for age, marital status, number of children, education, personal income, work schedule, region, and response period, we used modified Poisson log-linear models to obtain prevalence ratios (PRs) with 95% confidence intervals (CIs).

RESULTS

Overall, 24.2% of women reported severe sleep problems (PSQI >10). Women responding in the winter presented with an overall higher prevalence of severe sleep problems, compared to those responding in the summer (PR 1.21; 95% CI, 1.15 to 1.28). Severe sleep problems were more prevalent among young and late-midlife women, those who were single, had children, socio-economic challenges, worked shifts, and flexible hours. Furthermore, obesity, suboptimal health behaviors, excessive screen time, and mental health problems were associated with severe sleep problems.

CONCLUSION

Severe sleep problems are more common among women in Subarctic regions than elsewhere, particularly during winter. These findings motivate the development of preventive strategies and interventions for women in the Subarctic who suffer from sleep problems.

Five Hours Total Sleep Deprivation Does Not Affect CA1 Dendritic Length or Spine Density

Sleep is essential for long term memory function. However, the neuroanatomical consequences of sleep loss are disputed. Sleep deprivation has been reported to cause both decreases and increases of dendritic spine density. Here we use Thy1-GFP expressing transgenic mice to investigate the effects of acute sleep deprivation on the dendritic architecture of hippocampal CA1 pyramidal neurons. We found that 5 h of sleep deprivation had no effect on either dendritic length or dendritic spine density. Our work suggests that no major neuroanatomical changes result from a single episode of sleep deprivation.

Effect of multi-epitope derived from HIV-1 on REM sleep deprivation-induced spatial memory impairment with respect to the level of immune factors in mice

Objectives

Sleep deprivation (SD) has a negative impact on cognitive functions including learning and memory. Many studies have shown that rapid-eye-movement (REM) SD also disrupts memory performance. In this study, we aimed to investigate the effect of multi-epitope Gag-Pol-Env-Tat derived from Human immunodeficiency virus 1 (HIV-1) on REM SD-induced spatial memory impairment with respect to the levels of interleukin-4 (IL-4), interleukin-17 (IL-17), interferon-gamma (IFN-γ), immunoglobulin G1 (IgG1), immunoglobulin G2a (IgG2a), and lymphocyte proliferation in NMRI mice. We used multi-epitope Gag-Pol-Env-Tat derived from HIV-1 because Gag-Pol-Env-Tat immunogen sequence is one of the most sensitive immunogen sequences of HIV-1 that can significantly augment cellular and humoral immune systems, leading to the improvement of cognitive functions.

Materials and Methods

Morris water maze apparatus was used to assess spatial memory, and multi-platform apparatus was used to induce RSD for 24 hr. Multi-epitope derived from HIV-1 was subcutaneously injected at the dose of 20 µgr/ml, once and fourteen days before RSD.

Results

RSD impaired spatial memory and injection of multi-epitope derived from HIV-1 reversed this effect. RSD decreased IL-4, IgG1, and IgG2a levels, while multi-epitope derived from HIV-1 reversed these effects. Multi-epitope derived from HIV-1 also increased lymphocyte proliferation and decreased IL-17 levels in both control and RSD mice.

Conclusion

Multi-epitope derived from HIV-1 may improve memory performance via induction of anti-inflammatory immune response.

Professional Athletes Have Poorer Sleep Quality and Sleep Hygiene Compared With an Age-Matched Cohort

OBJECTIVE

To study sleep quality and sleep hygiene in professional athletes and an age-matched cohort.

DESIGN

Cross-sectional study.

SETTING

Professional athletes and a sport medicine center.

PARTICIPANTS

Professional rugby, netball and football athletes (n = 184) and attendees to a sport medicine center (n = 101).

INTERVENTIONS

Participants completed an online survey.

MAIN OUTCOME MEASURES

Sleep Hygiene Index (SHI) and Pittsburgh Sleep Quality Index (PSQI).

RESULTS

Forty-five percent (n = 128) of respondents were aged between 18 and 24 years, 54% (n = 154) were men and 65% (n = 184) were professional athletes. The sleep duration of the professional athletes (mean rank 134.3, n = 181) was greater than the age-matched cohort (mean rank = 154.4, n = 101), U = 7835.0, z = -2.3, P = 0.02; however, they reported more sleep disturbance (mean ranking = 148.0, n = 181) than the age-matched cohort (mean rank = 129.8, n = 101), U = 7960.5 z = -2.5, P = 0.01, 2-tailed. Professional athletes had worse sleep regularity (mean rank = 152.3, n = 183) compared with the age-matched cohort (mean rank = 124.6, n = 101), U = 7448.5, z = -2.7, P = 0.006, 2-tailed, had an inferior sleep environment (mean rank = 149.5, n = 183) compared with the age-matched cohort (mean rank = 129.8, n = 101), U = 7959.5, z = -2.0, P = 0.047, and had more naps (mean rank = 156.2, n = 183) compared with the age-matched cohort (mean rank = 117.6, n = 101), U = 6729.0, z = -4.2, P = 0.00 0, 2-tailed.

CONCLUSIONS

Professional athletes reported poorer sleep quality and sleep hygiene compared with an age-matched cohort, and difficulty falling asleep following competition. It is likely this is due to the stress of competition, training, and traveling. Because sleep plays an important role in postexercise recovery and has an impact on injury and athletic performance, it is important to have strategies to support better sleep quality and sleep hygiene in athletes.

Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach

Purpose

Using a mixed-method approach, this investigation aimed to examine athletes’ sleeping patterns along with the socio-physiological acute and chronic stressors affecting their sleep.

Methods

Fifteen elite athletes (M_age = 21.7 years; SD = 2.2) were monitored daily during a typical in-season training period (20 ± 1 days) and completed individual semi-structured interviews. Their sleep was analyzed using actigraphy and sleep diaries. A content analysis method was used to assess qualitative interviews.

Results

Three factors influencing sleep emerged from the qualitative interview analyses, i.e., sleep environment, training and study requirements. Half the athletes (8/15) complained about their sleeping environment with noise and/or bedroom temperature and/or mattress quality and/or light exposure presented as an issue. “Complainers” notably exhibited impaired (p < 0.05) sleep efficiency and wake after sleep onset compared with “non-complainers.” Daily training load showed correlations (p < 0.05) with wake after sleep onset and sleep onset latency. “Student athletes” exhibited later bedtime and earlier wake-up time compared with “non-student athletes,” leading to a reduced total sleep time (6:50 ± 1:13 vs. 7:06 ± 0:53; p < 0.05; d = 0.20).

Conclusion

An individualized assessment of sleep using actigraphy and interviews, with consideration to various socio-physiological factors, is recommended. Individualized sleep interventions with consideration to physiological (e.g., training load), behavioral (e.g., screen use) and environmental factors (e.g., room temperature, noise, mattress), can then be provided to each athlete.

Inhibition of casein kinase 1 δ/ε improves cognitive performance in adult C57BL/6J mice

Time-of-day effects have been noted in a wide variety of cognitive behavioral tests, and perturbation of the circadian system, either at the level of the master clock in the SCN or downstream, impairs hippocampus-dependent learning and memory. A number of kinases, including the serine-threonine casein kinase 1 (CK1) isoforms CK1δ/ε, regulate the timing of the circadian period through post-translational modification of clock proteins. Modulation of these circadian kinases presents a novel treatment direction for cognitive deficits through circadian modulation. Here, we tested the potential for PF-670462, a small molecule inhibitor of CK1δ/ε, to improve cognitive performance in C57BL/6J mice in an array of behavioral tests. Compared to vehicle-treated mice tested at the same time of the circadian day, mice treated with PF-670462 displayed better recall of contextual fear conditioning, made fewer working memory errors in the radial arm water maze, and trained more efficiently in the Morris Water Maze. These benefits were accompanied by increased expression of activity-regulated cytoskeleton-associated protein (Arc) in the amygdala in response to an acute learning paradigm. Our results suggest the potential utility of CK1δ/ε inhibition in improving time-of-day cognitive performance.

Effect of Sleep and Biobehavioral Patterns on Multidimensional Cognitive Performance: Longitudinal, In-the-Wild Study

Background

With nearly 20% of the US adult population using fitness trackers, there is an increasing focus on how physiological data from these devices can provide actionable insights about workplace performance. However, in-the-wild studies that understand how these metrics correlate with cognitive performance measures across a diverse population are lacking, and claims made by device manufacturers are vague. While there has been extensive research leading to a variety of theories on how physiological measures affect cognitive performance, virtually all such studies have been conducted in highly controlled settings and their validity in the real world is poorly understood.

Objective

We seek to bridge this gap by evaluating prevailing theories on the effects of a variety of sleep, activity, and heart rate parameters on cognitive performance against data collected in real-world settings.

Methods

We used a Fitbit Charge 3 and a smartphone app to collect different physiological and neurobehavioral task data, respectively, as part of our 6-week-long in-the-wild study. We collected data from 24 participants across multiple population groups (shift workers, regular workers, and graduate students) on different performance measures (vigilant attention and cognitive throughput). Simultaneously, we used a fitness tracker to unobtrusively obtain physiological measures that could influence these performance measures, including over 900 nights of sleep and over 1 million minutes of heart rate and physical activity metrics. We performed a repeated measures correlation (r_rm) analysis to investigate which sleep and physiological markers show association with each performance measure. We also report how our findings relate to existing theories and previous observations from controlled studies.

Results

Daytime alertness was found to be significantly correlated with total sleep duration on the previous night (r_rm=0.17, P<.001) as well as the duration of rapid eye movement (r_rm=0.12, P<.001) and light sleep (r_rm=0.15, P<.001). Cognitive throughput, by contrast, was not found to be significantly correlated with sleep duration but with sleep timing—a circadian phase shift toward a later sleep time corresponded with lower cognitive throughput on the following day (r_rm=–0.13, P<.001). Both measures show circadian variations, but only alertness showed a decline (r_rm=–0.1, P<.001) as a result of homeostatic pressure. Both heart rate and physical activity correlate positively with alertness as well as cognitive throughput.

Conclusions

Our findings reveal that there are significant differences in terms of which sleep-related physiological metrics influence each of the 2 performance measures. This makes the case for more targeted in-the-wild studies investigating how physiological measures from self-tracking data influence, or can be used to predict, specific aspects of cognitive performance.

The effect of sleep on the salivary cortisol response to acute stressors: a review and suggestions

There have been steadily increasing studies on the relationship between sleep and stress. However, the findings regarding the effects of sleep on the acute stress response have been inconsistent. Elevated, blunted, or unchanged salivary cortisol stress response have been reported. Therefore, this study conducted a systematic review of previous studies to provide a comprehensive summary of the factors that influence the effects of sleep on the salivary cortisol stress response. We conducted a comprehensive electronic literature search in PubMed, PsycINFO, PsycARTICLES, Web of Science, MEDLINE, and EMBASE for human studies published in English (up to June 2019). Finally, 17 articles with participants aged 6.4-72 years were included in this review. We assessed the following factors: designing factors (sleep measurement, stress induction, cortisol sampling period, and time intervals between sleep measurement and the acute stress task), analyzing factors (cortisol analysis), and participants' characteristics (age, sex, and background stress levels); subsequently, we explained conflicting findings across the current literature. Further, we provide study design, analysis, and report suggestions for optimal assessment of the effects of sleep on the acute stress response. This summary of influencing factors and suggestions for future studies could help elucidate the impact of sleep on stress and advance the field.

Sleep Disturbances in Young Adults with Childhood Traumatic Brain Injury: Relationship with Fatigue, Depression, and Quality of Life

OBJECTIVE

This study assessed the consequences of childhood traumatic brain injury (TBI) on sleep, fatigue, depression, and quality of life (QoL) outcomes and explored the relationships between these variables at 20 years following childhood TBI.

PARTICIPANTS

We followed up 54 young adults with mild, moderate, and severe TBI, and 13 typically developing control (TDC) participants, recruited at the time of TBI.

METHODS

Sleep was assessed with the Pittsburgh Sleep Quality Index and actigraphy.

RESULTS

At 20 years postinjury, results showed no significant difference between whole TBI group and TDC participants on subjective sleep quality; however, the moderate TBI group reported significantly poorer subjective sleep quality compared to those with severe TBI. Poorer subjective sleep was associated with increased symptoms of fatigue, depression, and poorer perceptions of General Health in the TBI group. Actigraphic sleep efficiency, fatigue, depression, and QoL outcomes were not significantly different between TBI and TDC or among TBI severity groups.

CONCLUSIONS

These preliminary findings underscore associations between subjective sleep disturbance, fatigue, depression, and QoL in this TBI sample, and mostly comparable outcomes in sleep, fatigue, depression, and QoL between the TBI and TDC groups. Further research is required to clarify these findings.

Sex and racial/ethnic differences in sleep quality and its relationship with body weight status among US college students

Objective: To examine sex and racial/ethnic differences in sleep quality and the association between sleep quality and body weight status among US college students. Participants: A nationally representative sample (N = 324,767) of college students from 2011 to 2015. Methods: A secondary data analysis of cross-sectional data. Results: Women showed poorer sleep quality (nights per week getting enough sleep to feel rested) than men (4.00 versus 4.34 days; p < .001). In both men and women, compared with non-Hispanic whites, racial/ethnic minorities showed lower sleep quality (p < .001). Compared with normal weight participants, overweight participants had poorer sleep quality (p = .007) among men, and both overweight (p = .004) and obese participants (p < .001) had lower sleep quality among women. Conclusions: Understanding sex and racial/ethnic sleep differences and the association between sleep and body weight status is important for colleges to promote college students' healthy sleep.

The Phenotype of Elderly Patients with Type 2 Diabetes Mellitus and Poor Sleep Quality

Background: Sleep disturbances are a common problem among patients with Type 2 diabetes mellitus (T2DM). The aim of the study was to identify the phenotype of T2DM patients with poor sleep quality. Methods: An observational, cross-sectional study was conducted between May 2013 and August 2015. One hundred and sixty consecutive patients with T2DM: 74 women and 86 men, with a median age of 69.50 years (59.00; 79.50 years) were enrolled in the study. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results: Poor sleep quality was noted in 85 (53%) patients. Sleep disorders were associated with older age, as well as female gender, longer duration of diabetes, lower level of fasting plasma glucose, glycated hemoglobin A1c, estimated glomerular filtration rate, triglycerides, waist-to-hip ratio, and the presence of nephropathy. A multivariate logistic regression revealed that sleep disorders were associated with older age (Odd Ratio (OR) = 1.11, 95% Confidence Interval (CI) 1.07–1.15). Fifty-one patients (31.87%) were treated with sleeping pills. We found that older age, female gender, longer duration of diabetes, lower level of fasting plasma glucose, glycated hemoglobin A1c, estimated glomerular filtration rate, triglycerides, and the presence of nephropathy were linked with more frequent usage of hypnotics. A multivariate logistic regression demonstrated that older age (OR = 1.09, 95% CI 1.05–1.14) and nephropathy (OR = 2.79, 95% CI 1.24–6.28) were associated with a more frequent receiving the hypnotics, whereas male gender (OR = 0.30, 95% CI 0.13–0.71) has less frequent hypnotics usage. Conclusion: Although, we assessed a wide range of patients’ characteristics, age had the most negative impact on the quality of sleep in patients with T2DM. We detected more frequent use of hypnotics in older females, with coexisting nephropathy.

Maternal Sleep Quality is Associated with Personal and Parenting Weight-Related Behaviors

Mothers of young children tend to report poor-quality sleep, yet little is known about links between maternal sleep quality and weight-related behaviors and parenting practices. Thus, mothers of preschoolers completed an online cross-sectional survey assessing their sleep, physical activity, dietary behaviors, eating styles, child feeding practices, family meal behaviors, and health parameters. Comparisons by sleep quality using the Pittsburgh Sleep Quality Index item (i.e., very bad/bad, n = 87; fair, n = 255; and good/very good, n = 193) revealed mothers with poor-quality sleep had weight-related behaviors associated with higher Body Mass Index (BMI) (lower physical activity, fewer fruits/vegetables, more emotional and disinhibited eating). Poor-quality sleepers also engaged in parenting practices contrary to recommendations, such as less frequent modeling of healthy eating and physical activity, more control of child feeding, and fewer family meals. Mothers reporting poor-quality sleep tended to have lower parenting self-efficacy, poorer overall health status, more days of poor mental and physical health, greater depression, more stress, and higher BMIs. Future nutrition research should establish the directionality between sleep quality and health behaviors. Future interventions should help mothers develop strategies for improving sleep quality, such as increased physical activity and fruit and vegetable intake, and helping mothers realize how their sleep quality may affect parenting practices.

Sleep lifestyle correlate of dizziness among teachers

Introduction  Some studies have shown associations between sleep quality and dizziness. However, this association has not been investigated in teachers.

Objective  To verify a possible association between dizziness complaint and sleep quality in teachers.

Methods  Cross-sectional study developed with 96 school teachers (mean age of 47.8 ± 9.8 years). To assess dizziness, an audiological assessment was performed, which was the same one used in routine audiological care (Miller protocol). The dizziness handicap inventory (DHI) was applied to those individuals who reported dizziness. To evaluated sleep quality, the Pittsburgh sleep quality index was used.

Results  The prevalence of dizziness was 22.9% ( n  = 22). Of these, 77.3% ( n  = 17) were women, 63.6% ( n  = 14) demonstrated poor sleep quality, and 54.5% ( n  = 12) were young adults (27–48 years). In the comparison between the dizziness and the control groups, no statistically significant differences were found ( p > 0.05). The analysis adjusted for the confounding variables showed a difference for men in the sleep efficiency variable ( p  = 0.043); young adults showed a statistically significant difference in the total score ( p  = 0.021) and total sleep time ( p  = 0.029). There was a moderate correlation between DHI and total time in bed ( p  = 0.036, r = 0.497) and DHI and sleep efficiency ( p  = 0.014; r = -0.582).

Conclusion  Dizziness influences the quality of sleep in teachers, especially that of the youngest and male patients. There was a moderate correlation between total time in bed, sleep efficiency, and DHI, demonstrating that sleep quality should be considered an important factor in the assessment and rehabilitation process of dizziness.

Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data

The sudden outbreak of the COVID-19 pandemic has brought drastic changes to people’s daily lives, work, and the surrounding environment. Investigations into these changes are very important for decision makers to implement policies on economic loss assessments and stimulation packages, city reopening, resilience of the environment, and arrangement of medical resources. In order to analyze the impact of COVID-19 on people’s lives, activities, and the natural environment, this paper investigates the spatial and temporal characteristics of Nighttime Light (NTL) radiance and Air Quality Index (AQI) before and during the pandemic in mainland China. The monthly mean NTL radiance, and daily and monthly mean AQI are calculated over mainland China and compared before and during the pandemic. Our results show that the monthly average NTL brightness is much lower during the quarantine period than before. This study categorizes NTL into three classes: residential area, transportation, and public facilities and commercial centers, with NTL radiance ranges of 5–20, 20–40 and greater than 40 (nW· cm − 2 · sr − 1 ), respectively. We found that the Number of Pixels (NOP) with NTL detection increased in the residential area and decreased in the commercial centers for most of the provinces after the shutdown, while transportation and public facilities generally stayed the same. More specifically, we examined these factors in Wuhan, where the first confirmed cases were reported, and where the earliest quarantine measures were taken. Observations and analysis of pixels associated with commercial centers were observed to have lower NTL radiance values, indicating a dimming behavior, while residential area pixels recorded increased levels of brightness after the beginning of the lockdown. The study also discovered a significant decreasing trend in the daily average AQI for mainland China from January to March 2020, with cleaner air in most provinces during February and March, compared to January 2020. In conclusion, the outbreak and spread of COVID-19 has had a crucial impact on people’s daily lives and activity ranges through the increased implementation of lockdown and quarantine policies. On the other hand, the air quality of mainland China has improved with the reduction in non-essential industries and motor vehicle usage. This evidence demonstrates that the Chinese government has executed very stringent quarantine policies to deal with the pandemic. The decisive response to control the spread of COVID-19 provides a reference for other parts of the world.

Sleep deprivation and stress: a reciprocal relationship

Sleep is highly conserved across evolution, suggesting vital biological functions that are yet to be fully understood. Animals and humans experiencing partial sleep restriction usually exhibit detrimental physiological responses, while total and prolonged sleep loss could lead to death. The perturbation of sleep homeostasis is usually accompanied by an increase in hypothalamic–pituitary–adrenal (HPA) axis activity, leading to a rise in circulating levels of stress hormones (e.g. cortisol in humans, corticosterone in rodents). Such hormones follow a circadian release pattern under undisturbed conditions and participate in the regulation of sleep. The investigation of the consequences of sleep deprivation, from molecular changes to behavioural alterations, has been used to study the fundamental functions of sleep. However, the reciprocal relationship between sleep and the activity of the HPA axis is problematic when investigating sleep using traditional sleep-deprivation protocols that can induce stress per se. This is especially true in studies using rodents in which sleep deprivation is achieved by exogenous, and potentially stressful, sensory–motor stimulations that can undoubtedly confuse their conclusions. While more research is needed to explore the mechanisms underlying sleep loss and health, avoiding stress as a confounding factor in sleep-deprivation studies is therefore crucial. This review examines the evidence of the intricate links between sleep and stress in the context of experimental sleep deprivation, and proposes a more sophisticated research framework for sleep-deprivation procedures that could benefit from recent progress in biotechnological tools for precise neuromodulation, such as chemogenetics and optogenetics, as well as improved automated real-time sleep-scoring algorithms.

Association between the Degree of Processing of Consumed Foods and Sleep Quality in Adolescents

The aim of this study was to evaluate the association between food consumption by the degree of processing and sleep quality in adolescents from São Luís, Maranhão, Brazil. A cross-sectional study with 2499 adolescents (aged 18 to 19 years) was developed. Exposure variables included energy contributions of food groups stratified by the NOVA classification: fresh or minimally processed foods (FMPF), processed foods (PF), and ultra-processed foods (UPF), categorized into quartiles. The outcome variable was sleep quality assessed with the Pittsburgh Sleep Quality Index. Associations between these variables were estimated by Poisson regression, with robust estimation of variance. Most of the adolescents had poor sleep quality (57.1%). There were associations between FMPF in the third (57.1%-66.0% of total calories; prevalence ratio PR = 0.88; 95% CI: 0.80, 0.97) and fourth quartile (66.1%-95.8% of total calories; PR = 0.87; 95% CI: 0.78, 0.96) and lower prevalence of poor sleep quality. The fourth quartile of UPF (44.3%-81.8% of total calories; PR = 1.14; 95% CI: 1.03, 1.27) was associated with a higher prevalence of poor sleep quality. Higher intake of FMPF is a protective factor for poor sleep quality, whereas higher UPF consumption is a risk factor for poor sleep quality.

Sleep Patterns and Quality in Omani Adults

BACKGROUND

Sleep patterns have changed continuously worldwide and it can be influenced by social, cultural, and environmental factors. These patterns may be associated with poor sleep quality and daytime sleepiness. The aim of the study was to investigate sleep patterns and quality in Omani adults using actigraphy.

SUBJECTS AND METHODS

This was a cross-sectional study conducted between June 2015 and February 2017. Four hundred subjects agreed to participate in the study (52% male, 48% female). Subjects were randomly selected and enrolled in the study among young adults and middle aged individuals living in the City of Muscat. Subjects were asked to fill-in Epworth sleepiness scale (ESS) and Pittsburgh sleep quality index (PSQI). Actigraphy was used to measure their sleep patterns for one week.

RESULTS

The mean age of participants was 32.80±11.50 years. Four sleep patterns were identified: monophasic, bi-phasic (post-dawn), bi-phasic (afternoon siesta), and polyphasic (three sleep periods/24 hours). The study revealed that 35% of participants had biphasic-siesta sleep pattern, 28% polyphasic, 26% monophasic, and 11% biphasic-dawn. The biphasic siesta pattern was found to be associated with younger age group (25-34 years) (P=0.001). Polyphasic sleep was associated with higher ESS score (P=0.001) but not with poor sleep quality (P=0.24). There was no significant difference in night sleep duration among all the sleep patterns (P=0.07) but the polyphasic sleep pattern had higher total 24-hour day sleep duration (P=0.03). Nearly 90% of participants practiced afternoon siestas with mean duration of 45±43 minutes.

CONCLUSION

The predominant sleep pattern among Omanis was biphasic-siesta and majority of people practiced afternoon siesta. Polyphasic sleep pattern is associated with daytime sleepiness.

Application of Machine Learning Methods to Ambulatory Circadian Monitoring (ACM) for Discriminating Sleep and Circadian Disorders

The present study proposes a classification model for the differential diagnosis of primary insomnia (PI) and delayed sleep phase disorder (DSPD), applying machine learning methods to circadian parameters obtained from ambulatory circadian monitoring (ACM). Nineteen healthy controls and 242 patients (PI = 184; DSPD = 58) were selected for a retrospective and non-interventional study from an anonymized Circadian Health Database (https://kronowizard.um.es/). ACM records wrist temperature (T), motor activity (A), body position (P), and environmental light exposure (L) rhythms during a whole week. Sleep was inferred from the integrated variable TAP (from temperature, activity, and position). Non-parametric analyses of TAP and estimated sleep yielded indexes of interdaily stability (IS), intradaily variability (IV), relative amplitude (RA), and a global circadian function index (CFI). Mid-sleep and mid-wake times were estimated from the central time of TAP-L5 (five consecutive hours of lowest values) and TAP-M10 (10 consecutive hours of maximum values), respectively. The most discriminative parameters, determined by ANOVA, Chi-squared, and information gain criteria analysis, were employed to build a decision tree, using machine learning. This model differentiated between healthy controls, DSPD and three insomnia subgroups (compatible with onset, maintenance and mild insomnia), with accuracy, sensitivity, and AUC >85%. In conclusion, circadian parameters can be reliably and objectively used to discriminate and characterize different sleep and circadian disorders, such as DSPD and OI, which are commonly confounded, and between different subtypes of PI. Our findings highlight the importance of considering circadian rhythm assessment in sleep medicine.

Self-Reported Sleep Duration and Pattern in Old Order Amish and Non-Amish Adults

STUDY OBJECTIVES

We hypothesized that sleep duration in the Amish would be longer than in non-Amish.

METHODS

Sleep duration was obtained by questionnaire administered to Amish individuals (n = 3,418) and from the 2015-2016 National Health and Nutrition Examination Survey (NHANES; n = 1,912). Self-reported sleep duration was calculated as the difference in usual times that the participants went to bed at night and woke up in the morning.

RESULTS

In Amish (43.7 ± 16.7 years) and NHANES (50.0 ± 20.6 years), women had a longer sleep duration than men (P < .0001 in both groups) and sleep was significantly longer in those aged 18-29 years and ≥ 70 years, compared to those aged 30-69 years. Seasonal-adjusted sleep duration was shorter in Amish than that in NHANES (7.8 minutes shorter, age- and sex-adjusted P < .0001). However, Amish were less likely to report sleeping fewer than 7 hours per night (15.4% in Amish versus 20.5% in NHANES, P < .0001). Amish went to bed 80.4 minutes earlier than NHANES and arose 87.6 minutes earlier (age-, sex-, and season-adjusted P < .0001 for both). In the Amish, sleep duration was longer in clerks than in farmers (P < .0001) and was significantly correlated among household members (.15 < r < .62, P < .001), although there was no evidence that this trait was heritable (h² approximately 0) after adjustment for household.

CONCLUSIONS

The lower frequency of short sleepers in the Amish may contribute to the relatively lower risks of cardiometabolic diseases observed in this population.

CITATION

Zhang M, Ryan KA, Wickwire E, Postolache TT, Xu H, Daue M, Snitker S, Pollin TI, Shuldiner AR, Mitchell BD. Self-reported sleep duration and pattern in old order amish and non-amish adults. J Clin Sleep Med. 2019;15(9):1321-1328.

Association of sleep attitudes with sleep hygiene, duration, and quality: a survey exploration of the moderating effect of age, gender, race, and perceived socioeconomic status

Objectives

Sleep health is becoming more widely accepted as a possible preventative strategy against chronic disease and negative psychosocial outcomes. It is important to understand whether attitudes towards sleep vary by demographic characteristics and how potential differences in sleep attitudes could impact sleep outcomes. The present study examined whether there were demographic differences in sleep attitudes and whether the interaction between demographic characteristics and sleep attitudes impacted sleep outcomes (e.g. sleep hygiene, duration, and quality).

Methods

One hundred seventy-two adults from across the United States completed an anonymous survey on sleep and health.

Results

Sleep attitudes varied according to age, gender, and race, with more positive sleep attitudes reported by older adults, women, and those who identified as White. Although positive sleep attitudes predicted more sleep and better quality sleep, this association varied as a function of several demographic characteristics. A more complex picture arose for the interaction between demographics and sleep attitudes predicting sleep outcomes.

Conclusions

Future research should continue to discover for whom favorable sleep attitudes are beneficial and explore when and how sleep attitudes may be altered.

Sleep problems in shift nurses: A brief review and recommendations at both individual and institutional levels

AIMS

The purposes of this article are (a) to review briefly the current literature on shift nurses' sleep patterns, sleep quality, and the existing interventions implemented in nursing settings; and (b) to propose solutions that target individual nurses, nurse managers, and health care organisations to improve sleep health in shift nurses.

BACKGROUND

Sleep problems among shift nurses have been recognized increasingly as a significant issue at both the individual and organisational levels. However, the solutions are not well known.

DESIGN

Narrative review.

METHODS

A literature search was conducted using the following databases: CINAHL, PubMed, Embase, and Google Scholar from 1986 to 2016, to include original papers that reported studies on shift nurses' sleep problems and interventions.

RESULTS

Thirteen papers were included in this review, which all indicated associations between shift nurses' sleep problems and current intervention practices. Despite the higher prevalence of sleep problems in shift nurses compared to the general population, current interventional practices only focus on bright-light exposure, nap breaks, shift schedule rearrangement, and behavioural interventions.

CONCLUSIONS

To address shift nurses' poor sleep quality, we proposed two levels of approach for consideration-the individual level and the management/institutional level. The recommendations include: improving sleep hygiene; providing a low-stimulation sleep environment; conducting rigorous intervention studies to evaluate the effectiveness of a variety of therapies to deal with shift nurses' sleep disturbances; increasing awareness of sleep health of shift nurses; establishing a flexible rotating work schedule; and putting in place policies such as a 15-30 min nap break, social support, and a suitable working environment.

IMPLICATIONS FOR NURSING MANAGEMENT

With better awareness and understanding of shift nurses' sleep behaviours, effective interventions can be employed to improve shift nurses' sleep patterns and sleep quality to promote better emotional and health outcomes.

The Effects of the Removal of Electronic Devices for 48 Hours on Sleep in Elite Judo Athletes

This study examined the effects of evening use of electronic devices (i.e., smartphones, etc.) on sleep quality and next-day athletic and cognitive performance in elite judo athletes. Over 6 consecutive days and nights, 23 elite Australian judo athletes were monitored while attending a camp at the Australian Institute of Sport (AIS). In 14 athletes, all electronic devices were removed on days 3 and 4 (i.e., for 48 hours: the "device-restricted group"), whereas 9 were permitted to use their devices throughout the camp (the "control group"). All athletes wore an activity monitor (Readiband) continuously to provide measures of sleep quantity and quality. Other self-reported (diary) measures included time in bed, electronic device use, and rate of perceived exertion during training periods. Cognitive performance (Cogstate) and physical performance (single leg triple hop test) were also measured. When considering night 2 as a "baseline" for each group, removal of electronic devices on nights 3 and 4 (device-restricted group) resulted in no significant differences in any sleep-related measure between the groups. When comparing actigraphy-based measures of sleep to subjective measures, all athletes significantly overestimated sleep duration by 58 ± 85 minutes (p = 0.001) per night and underestimated time of sleep onset by 37 ± 72 minutes (p = 0.001) per night. No differences in physical or cognitive function were observed between the groups.

CONCLUSION

This study has shown that the removal of electronic devices for a period of two nights (48 hours) during a judo camp does not affect sleep quality or quantity or influence athletic or cognitive performance.

Sleeping pill use in Brazil: a population-based, cross-sectional study

OBJECTIVES

This study aimed to assess the prevalence of sleeping pill use in Brazil.

DESIGN

A population-based cross-sectional study with a three-stage cluster sampling design (census tracts, households and adult residents) was used.

SETTING

The Brazilian 2013 National Health Survey was used.

PARTICIPANTS

The study population consisted of household residents aged ≥18 years. A total of 60 202 individuals were interviewed, including 52.9% women, and 21% reported depressive symptoms.

OUTCOMES

The primary outcome was sleeping pill use, which was self-reported with the question, 'Over the past two weeks, have you used any sleeping pills?' The prevalence was calculated and stratified according to sociodemographic characteristics. The associated factors were identified from prevalence ratios (PRs) obtained through a Poisson regression with robust variance and adjusted for sex and age.

RESULTS

The prevalence of sleeping pill use was 7.6% (95% CI 7.3% to 8.0%), and the average treatment duration was 9.75 (95% CI 9.49 to 10.00) days. Self-medication was found in 11.2% (95% CI 9.6% to 12.9%) of users. The following factors were associated with sleeping pill use: female sex (PR=2.21; 95% CI 1.97 to 2.47), an age of ≥60 years (PR=5.43; 95% CI 4.14 to 7.11) and smoking (PR=1.47; 95% CI 1.28 to 1.68). Sleeping pill use was also positively associated with the severity of depressive symptoms (p<0.001), whereas alcohol intake was inversely associated (PR=0.66; 95% CI 0.56 to 0.77).

CONCLUSIONS

One in every 13 Brazilians adults uses sleeping pills. There is a lack of information about the reasons for this use. Actions are required to raise awareness about the risks. The results could assist programmes in targeting rational sleeping pill use and the identification of factors demanding intervention.

Sleep Pattern and Sleep Hygiene Practices among Nigerian Schooling Adolescents

BACKGROUND

Sleep problems, especially in the adolescent stage of development, may be associated with excessive daytime sleepiness, impaired neurocognitive function, and a host of others leading to suboptimal performance.

OBJECTIVES

To determine the pattern of sleep problems in school-going adolescents based on the bedtime problems; excessive daytime sleepiness; awakenings during the night and problems falling back asleep; regularity and duration of sleep; sleep-disordered breathing (BEARS) sleep screening algorithm.

MATERIALS AND METHODS

This is a cross-sectional descriptive study involving 353 secondary school-going adolescents in Kano metropolis. Subjects were selected for the study using multistage sampling technique. The study lasted from March 2015 to July 2015. Sleep problems were screened for using the BEARS sleep screening algorithm. Tables were used to present the qualitative data. The various BEARS sleep patterns were assessed, and comparison between stages of adolescence was done using Chi-square test (and Fisher's exact test where necessary). A significant association was considered at P < 0.05.

RESULTS

Of the 353 adolescents studied, 61.8% were males while 38.2% were females with male, female ratio of 1.6:1. Early, middle, and late adolescents constituted 13.9%, 39.9%, 46.2% respectively. BEARS sleep screening revealed awakenings during the night (34.6%) as the most common sleep-related problem reported, and this was followed by excessive daytime sleepiness (21.0%). Age-group dependent sleep duration was 7.19 ± 1.26, 7.13 ± 1.13, 7.16 ± 1.28, with P > 0.05. Although 62.9% of all the adolescents watched TV/play video games until 1 h before going to bed and this was highest in late adolescence, it was not statistically significantly associated with any of the sleep problems.

CONCLUSION

Both the quality and quantity of sleep in Nigerian adolescents in Kano is suboptimal. Adolescent and sleep medicine should receive more attention in our environment.

Multimodal Ambulatory Sleep Detection

Inadequate sleep affects health in multiple ways. Unobtrusive ambulatory methods to monitor long-term sleep patterns in large populations could be useful for health and policy decisions. This paper presents an algorithm that uses multimodal data from smartphones and wearable technologies to detect sleep/wake state and sleep episode on/offset. We collected 5580 days of multimodal data and applied recurrent neural networks for sleep/wake classification, followed by cross-correlation-based template matching for sleep episode on/offset detection. The method achieved a sleep/wake classification accuracy of 96.5%, and sleep episode on/offset detection F1 scores of 0.85 and 0.82, respectively, with mean errors of 5.3 and 5.5 min, respectively, when compared with sleep/wake state and sleep episode on/offset assessed using actigraphy and sleep diaries.