Daily Sleep Research Articles

Impact of sleep duration and dietary patterns on risk of metabolic syndrome in middle-aged and elderly adults: a cross-sectional study from a survey in Anhui, Eastern China

The aim of this study was to assess the sleep status of middle-aged and elderly adults in Bengbu City, Anhui Province, China, to identify the major dietary patterns, and to analyze the association of different sleep duration and dietary patterns with metabolic syndrome (MetS) and its related influencing factors, as well as to explore the predictive value of sleep duration and dietary patterns. A cross-sectional analysis was performed utilizing data collected from the Community-based Cardiovascular and Health Promotion Study 2019 (COCHPS 2019) conducted in Bengbu. The definition of MetS adhered to the criteria of Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults (2016 Revision). Dietary information was obtained using the Food Frequency Questionnaire (FFQ) to assess dietary intake over the past year. Principal component analysis (PCA) was performed to identify dominant dietary patterns. A logistic regression model was developed to analyze the associations among sleep duration, dietary patterns, and MetS, and a decision tree (DT) model was developed to compare factors affecting MetS and screen people at high risk for MetS. The prevalence of MetS was 13.4% among the 9132 middle-aged and elderly residents over 45 years of age included in COCHPS 2019. Participants were divided into short (< 6 h/d), normal (6–8 h/d), and long (> 8 h/d) groups based on their daily sleep duration. Three dietary patterns were identified by PCA, the fruit-milk pattern, the tubers-meat pattern, and the vegetable-cereal pattern. After adjusting for covariables, logistic regression analysis showed that long sleep duration was significantly negatively associated with MetS. The fruit-milk and vegetable-cereal patterns were negatively associated with MetS, whereas the tubers-meat pattern was positively correlated with MetS. The results of the DT model analysis showed that the vegetable-cereal pattern is the most important factor impacting MetS, followed by marital status, the tubers-meat pattern, the fruit-milk pattern, exercise, sleep duration, and gender. The DT model also screened out five types of MetS high-risk groups. The results of our study indicate that normal sleep duration and consumption of either a fruit-milk or vegetable-cereal diet may lower the likelihood of developing MetS in middle-aged and elderly adults.

Exploring the effects of multi-dimensional geographic environment on daily sleep and physical activity based on the Actigraph data

Understanding the interplay between people’s daily sleep and physical activity and how geographic environment influences them are important for developing healthy cities. However, such research has been limited. This study aims to explore the bidirectional and nonlinear relationship between daily sleep and physical activity, and further investigate the comprehensive influences of multi-dimensional geographic environment on these health behaviors. Based on the objective data on sleep and physical activity over seven consecutive days using wrist-based accelerometers in Beijing, China, we developed a series of models to analyze the mutual influences between people’s daily sleep and physical activity, and employed the generalized additive model (GAM) to examine their potential nonlinear relationships and how geographic environment – including meteorological conditions, built environment, and social environment – influences them. The results show that sleep and physical activity exhibit notable bidirectional relationship. Moderate-to-vigorous physical activity (MVPA) is observed to improve sleep quality, but it decreases sleep duration. In contrast, total sleep time (TST) exhibits an inverted U-shaped pattern with both MVPA and total step counts, with the optimal sleep duration at 5 hours. Furthermore, meteorological factors, built environment characteristics, and social environment have significant linear or nonlinear effects on people’s daily sleep and physical activity. The outcomes of this study offer valuable insights for enhancing residents’ health and developing healthy cities.

Sleep, Fatigue, and Recovery Profiles of the Longest Solo Unsupported One-Way Polar Ski Journey Across Antarctica.

Antarctic expeditions are exceptional physiological challenges. Sleep plays a critical role in athletic performance, recovery, and wellness, with sleep disturbances having a negative impact on health and performance. The authors investigated sleep, fatigue, and recovery profiles of the longest solo unsupported one-way polar ski journey across Antarctica. A 33-year-old woman covered 1484.53km from Hercules Inlet to the South Pole, finishing at the Ross Ice Shelf, in 70days and 16hours. Questionnaires on sleep (Pittsburgh Insomnia Rating Scale and Karolinska Sleepiness Scale), fatigue (Subjective Assessment of Fatigue), recovery (Total Quality Recovery), and wellness were completed at different time points (before, during, and after the expedition). Average daily sleep time was between 4 and 5hours, increasing to 7hours for the final part of the expedition. Satisfaction of sleep and lack of energy deteriorated as the expedition progressed, alongside signs of clinical insomnia. Fatigue and muscle soreness increased with increasing milage, with extreme levels and very poor recovery toward the end of the expedition. Despite this, the adventurer continued to perform on extremely high levels. Postexpedition scores returned to baseline, demonstrating the incredible adaptation and ability to recovery. The postexpedition interview showed that prior experience of an Antarctic expedition may have prepared the athlete and made her more resilient for this challenge. The data provide unique insights into Antarctic expeditions and may help us understand the limits of human performance when planning future expeditions of this nature. Female athletes are capable of extreme challenges, breaking established performance boundaries.

Automatic calculation of the parasympathetic, sympathetic and Baevsky stress indexes provides a more comprehensive assessment of cardiac autonomic modulation

Abstract Background Cardiac autonomic modulation (CAM) is clinically evaluated by measuring the Heart Rate Variability (HRV) parameters, related to sympathetic and parasympathetic efferences to the heart, with linear (L), nonlinear (NL), and time-varying (TV) mathematical methods. Recently, automatic calculation of the parasympathetic (PNSi), sympathetic (SNSi), and Baevsky’s stress (BSTRi) indexes [1,2], integrating some L and NL parameters, has become available for more synthetic assessment of CAM. This study aimed to evaluate in healthy subjects (HS) the normal range of PNSi, SNSi, and BSTRi and their physiological variations during daily activity (ACT) and Non-REM sleep (NREM), taking also into account aging-related changes. Methods 24-hour (H24) Holter ECG recordings of 87 HS, divided into three (Age1, Age2 and Age3) groups (16-34, 35-52, and 53-84 years old, respectively), were retrospectively analyzed with the Kubios software (version 4.0), which automatically calculates the PNSi, SNSi, and BSTRi [1], and time domain (TD), frequency domain (FD), NL and TV HRV parameters. HRV was calculated from H24 and short-term (2 minutes) intervals, selected during ACT and NREM. All HRV calculations were done after "detrending" with the "smooth priors" function (lambda=500). Statistical analysis was performed with SPSS 21. Results Average values of the three indexes and several independent L and NL parameters are summarized in Table 1. Average BSTRi values of each age group were not different between ACT and NREM, whereas significant (p&amp;lt;0.05) increments between Age3 and Age1 (during ACT) and between Age3 and both Age1 and 2 (during NREM and H24) were found. Average SNSi values were slightly above the normality range [1] during ACT, or normal (during NREM and H24). Average PNSi values were within the suggested normality range [1] with minimal aging-related variations. Significant aging-related decrement of the selected TD and FD parameters was found in all analysed conditions. Among NL parameters, the correlation dimension (D2) values showed significant aging-related decrement (H24 and NREM), while H24 and ACT sample entropy (SampEn) was lower in Age1 and Age2, compared with Age3 (p&amp;lt;0.05). An example (H24 analysis of Age3 data) of significant (p&amp;lt;0.01) correlation among the three indexes and the selected independent linear and non-linear parameters is shown in Figure 1. Conclusions In this study, a significant aging-related increment of BSTRi was found in all investigated conditions. PNSi and SNSi were always within the suggested normality range [1]. In spite of the significant changes of linear parameters consistent with the well-known aging-related decrement of HRV, the higher SampEn (and BSTRi) found in Age3 HS suggests that an "healthy elderly", is characterized by a more complex adaptation of CAM, likely mediated also by the observed moderate (healthy?) increment of physiological stress. However further investigation on a broader population is warranted.Table 1Figure 1

Weekend compensatory sleep is associated with reduced risk of heart disease: a prospective UK Biobank-based cohort study

Abstract Background and Aims Influenced by the demands of school or work, people often fall out of sync with their circadian rhythms, which leads to sleeping in on days off. Despite this phenomenon, there is a lack of research examining whether compensatory weekend sleep has positive effects on heart health. Methods and results Our prospective cohort study utilized data from the UK Biobank (UKB) and encompassed 90,903 participants. To evaluate the relationship between compensated weekend sleep and heart disease. The sleep data was recorded by Axivity AX3 accelerometer from UKB and grouped by quartiles. Hospitalization records and cause of death registry information were used to diagnose various cardiac diseases including IHD, HF, AF, and stroke. Then multivariate Cox proportional hazard modeling was used to examine the potential impact of compensated sleep on the risk of heart disease. At a median follow-up time of up to 13.8 years, we found that participants in the compensatory sleep group(Q4) had a lower risk of having heart disease in the fully adjusted model (HR: 0.809, 95%CI: 0.766,0.854), which was not influenced by the effect of genetic risk for IHD, HF, or AF. These relationships were even more pronounced in the subgroup with daily sleep deprivation (HR:0.801, 95%CI: 0.718,0.894). Conclusion Sufficient compensatory sleep on weekends is linked to a low risk of heart disease, including IHD, AF, HF, and stroke, which is independent of genetic risk. And the association becomes even more pronounced among individuals who regularly experience inadequate sleep on weekdays.Visual abstract

Assessing Daily Function and Sleep Disorders in Hemodialysis Patients with End-Stage Renal Disease

Background: Chronic, end-stage renal disease significantly impacts patients’ daily activities and sleep quality, particularly those undergoing hemodialysis. However, there is limited research on the extent of these challenges and their correlation with this population. Aim: This study aims to assess the level of activity of daily living and the prevalence of sleep disturbances in patients with end-stage renal disease undergoing hemodialysis. Method: A cross-sectional study involved 130 patients receiving hemodialysis in two public General Hospitals in Greece. The Barthel Index was used to measure daily living activity, while the Athens Insomnia Scale assessed sleep disorders. The data were analyzed using SPSSV25.0. Results: Of the 210 questionnaires, 130 were returned fully completed (response rate 62%). Most of the sample participants suffered from comorbidities (76.9%). The total Barthel Index score showed moderate dependence for patients, significantly related to the years and hours of dialysis (p = 0.007 and p = 0.000, respectively). The total score of the Athens Insomnia Scale was also significantly associated with age (p = 0.029), marital status (p = 0.015) and the years and hours of hemodialysis (p = 0.004 and p = 0.001, respectively). A statistically significant difference was recorded between the daily activity of patients with end-stage renal failure and their sleep quality (p = 0.000) Finally, the physical activity level of the participants was related to the existence of another physical health (p = 0.000) or mental health problem (p = 0.000). Conclusions: Hemodialysis patients with chronic, end-stage renal disease experience significant challenges in maintaining daily activities and are prone to sleep disorders. These findings suggest a need for integrated care strategies that address both physical function and sleep quality to improve the overall well-being of this population.

Impacts of human behaviors involving sound and light exposure in sleep environments on sleep and mental disorders: A cross-sectional study

Creating an optimal sleeping environment is essential. Few studies have examined how common individual behaviors alter the daily sleep environment and the subsequent health impacts of these changes among the general population. This study presented a cross-sectional analysis of 13,157 Chinese college students, utilizing binomial logistic regression models and mediation effect analysis to elucidate the associations between human behaviors involving sound and light exposure in sleep environments and outcomes related to sleep disorders, depression, and anxiety. Our results indicated that noise exposure, listening to white noise and content-based audio (audiobooks, crosstalk, and radio) before sleep, watching electronic screens in a dim environment, using noise-canceling tools during sleep, adjusting room light to be on during sleep, and using light-blocking tools during sleep was associated with an increased risk of sleep disorders by 54.9–343.4 %. The risk of mental disorders increased by 0.325–4.379 times. Pathetic (odds ratio (OR) = 1.568) and stirring music (OR = 1.279) were associated with a higher risk of sleep disorders, while gentle music was correlated with a lower risk (OR = 0.842). Additionally, warm light and gentle/cheerful music were associated with lower depression and anxiety risks (OR = 0.635–0.733). Sleep quality was found to partially mediate the relationship between these human behaviors and mental disorders, and mental disorders also mediated the relationship between these behaviors and sleep disorders. The research findings offer a scientific foundation for optimizing sleeping environments through behavior control.

THE ROLE OF PHYSICAL ACTIVITY IN IMPROVING THE QUALITY OF SLEEP OF PATIENTS WITH VARIOUS SLEEP DISORDERS

Sleep is an important human behavior and difficulties with sleep are closely related to health, potentially leading to the development of diseases and a reduced quality of life. Sleep disorders cover a wide range of problems associated with mental health disorders, such as anxiety and depression, and contribute to an increased tendency to become overweight or obese. In addition, sleep difficulties can lead to more serious sleep disorders, such as problems with sleep maintenance, poor sleep efficiency, and reduced daytime attention. The purpose of the study is to highlight the role of physical activity in improving the quality of sleep in patients with various sleep disorders. Materials and methods. To better understand the impact of physical activity on sleep quality and its positive effect on sleep onset and duration, a search of scientific literature was conducted between 2019 and 2024 in the PubMed, Scopus, Web of Science, and Google Scholar databases using the terms “exercise,” “sleep,” “quality of life,” “insomnia,” and “activity.” The search resulted in the selection of publications that examined the relationship between daily sleep and physical activity and will be discussed in this review. Results. The study identified potential biological pathways that explain the possible interactions between sleep and physical activity in the short and long term. Acute or repetitive physical activity increases total sleep time by reducing insulin resistance and the concentration of inflammatory markers, better regulation of circadian rhythm, and the release of brain-derived neurotrophic factor. In turn, sleep deprivation can alter physical performance or contribute to fatigue during physical activity by increasing cortisol concentrations, decreasing growth hormone and prolactin concentrations, and stimulating inflammatory markers. Scientific studies have established the beneficial effects of physical activity in alleviating sleep problems. Numerous studies show that moderate to vigorous physical activity has a positive effect on sleep quality. Physical activity has pluripotential beneficial effects on bodily functions. These benefits include a reduction in the incidence of cardiovascular disease, coronary heart disease, hypertension, type 2 diabetes, and death. In addition to these effects, physical activity has a significant beneficial effect on the onset, duration, and quality of sleep, which complements its beneficial effects. In contrast, lack of sleep is associated with an increased incidence of cardiovascular complications and death. In this regard, physical activity serves as a non-pharmacological means of improving sleep, especially in older people who often have difficulty falling asleep. Regarding the time of exercise and its effect on sleep, there was no difference between morning and evening exercise in terms of sleep onset and quality. In addition, the multifaceted benefits of physical activity go beyond improving sleep to contribute to overall well-being and longevity, offering a comprehensive health solution that is comparatively better than alternative treatments. Conclusions. Based on the research presented here, it can be concluded that the scientific literature has identified an improvement in sleep quality after physical activity, and empirical evidence confirms its positive impact, regardless of type or intensity. Increased physical activity was found to be associated with improved total sleep duration, reduced sleep latency, and improved sleep efficiency. Exercise can improve sleep by reducing sleep latency and increasing slow wave sleep.

A single-arm pilot study of a brief cognitive-behavioral therapy for insomnia intervention among Japanese occupational therapy and physical therapy university students with sleep disturbances

ObjectiveTo evaluate the feasibility of the Sleep Health through University Student Habits (SHUSH) program, a brief sleep improvement intervention based upon principles of cognitive-behavioral therapy for insomnia (CBT-I) developed for Japanese university students.MethodsPretest-posttest, single-arm pilot study design with 3-month follow up was used to evaluate the feasibility of SHUSH. We developed then offered a 90-min sleep education class based upon the two-process model of sleep regulation, sleep restriction, stimulus control, and sleep hygiene. We recommended individualized sleep prescriptions (e.g., prescribed time to bed and prescribed time out of bed) from 11 days of daily sleep diary data. We then offered 15 min of individualized follow-up meetings each week for three consecutive weeks in person or online in which we supported adherence to sleep prescriptions. Fifteen university students with self-reported sleep disturbance (Insomnia Severity Index; ISI score ≥ 9) completed the SHUSH program. Participants were on average age 19.7 years old; nine were women, and they were students in occupational therapy and physical therapy. We assessed validated Japanese versions of sleep-related (e.g., ISI, Sleep hygiene practice scale; SHPS), mental health-related (e.g., Generalized Anxiety Disorder Screener) patient-reported outcomes (PROs) and daily sleep diary variables (e.g., sleep onset latency and sleep efficiency).ResultsComparing baseline and posttest data, a statistically significant difference was observed in insomnia symptom severity, daytime sleepiness, sleep hygiene practices, eveningness to morningness, anxiety, depression, sleep diary improvements (e.g., sleep onset latency, total time in bed, and sleep efficiency). Comparing posttest and 3-mo follow up data (n = 10), a statistically significant difference wasn't observed for most PRO effects. However, there was a statistically significant difference in ineffective sleep behaviors (i.e., SHPS-J). We did observe a rebound effect for some SHPS-J items.ConclusionSHUSH was developed as a brief cognitive-behavioral intervention for insomnia. SHUSH participants showed improvements on sleep-related and mental health-related PROs after 4 weeks of intervention. At 3 months follow-up sleep quality and mental health gains were maintained. SHUSH was a feasible program. Randomized controlled trials are needed to test treatment efficacy on sleep related and mental health related PROs in the future.

Association between sleep duration from midlife to late life and the risk of depressive symptoms: the Singapore Chinese Health Study.

The prospective association between sleep duration and the development of late-life depressive symptomology is unclear. To investigate sleep duration from midlife to late life in relation to risk of depressive symptoms in late life. A total of 14 361 participants from the Singapore Chinese Health Study were included in the present study. Daily sleep duration was self-reported at baseline (mean age of 52.4 years; 1993-98), follow-up 2 (mean age of 65.2 years; 2006-10) and follow-up 3 (mean age of 72.5 years; 2014-16) interviews. Depressive symptoms were evaluated using the Geriatric Depression Scale at follow-up 3 interviews. Modified Poisson regression models were performed to estimate relative risks and 95% confidence intervals of late-life depressive symptoms in relation to sleep duration at baseline and the two follow-up interviews. Compared with sleeping 7 h per day, a short sleep duration of ≤5 h per day at baseline (i.e. midlife) was related to a higher risk of depressive symptoms (relative risk 1.10, 95% CI 1.06-1.15), and this risk was not affected by subsequent prolongation of sleep. Conversely, a long sleep duration of ≥9 h per day at baseline was not related to risk of depressive symptoms. At follow-up 3 (i.e. late life), both short sleep (relative risk 1.20, 95% CI 1.16-1.25) and long sleep (relative risk 1.12, 95% CI 1.07-1.18) duration were cross-sectionally associated with depressive symptoms. Short sleep duration in midlife, regardless of subsequent prolongation, is associated with an increased risk of depression in late life. Contrariwise, both short and long sleep duration in late life co-occur with depressive symptoms.

Total dietary antioxidant capacity and food groups and their relationship with the sleep time of Brazilian graduates (CUME Study)

ABSTRACT To investigate the association between the Dietary Total Antioxidant Capacity (dTAC) and the Total Antioxidant Capacity of food groups (fgTAC) with the sleep time of Brazilian graduates participating in the Cohort of Universities of Minas Gerais (CUME Study). This cross-sectional study analyzed 6,387 graduates (2,052 men, 4,335 women, 35.3 ± 9.3 years old) from the CUME Study. Data was collected online, and dTAC was obtained by the Ferric Reduction Antioxidant Power (FRAP) method. Daily sleep time was classified as short sleep, normal sleep, and long sleep (≤6, 7–8, and ≥9 h, respectively). Multinomial logistic regression models were used to estimate the Odds Ratio (OR) and its 95% Confidence Interval (95% CI) between short sleep and long sleep with quartiles of dTAC and the fgTAC. Lower odds of short sleep was observed for the third quartile of dTAC and for fourth quartile of fgTAC of fruits, beans, and lentils, and for the third quartile of fgTAC of vegetables and oils and fats. Higher odds of short sleep for the fourth quartile of fgTAC of teas and coffees. For long sleep, inverse associations were observed for the fourth quartile of fgTAC of oilseeds and the third quartile of fgTAC of teas and coffees. Higher odds of long sleep were observed for the third quartile of artificial juices and sodas. We cannot independently assert an association between higher dTAC and sleep time. In turn, the associations between sleep time and fgTAC show the importance of the food matrix that antioxidants are inserted, requiring longitudinal studies to observe the direction of associations.

Patterns of dietary quality, physical activity, and sleep duration among cancer survivors and caregivers.

Fruit and vegetable intake (FVI), moderate-to-vigorous physical activity (MVPA), and sleep duration are each independently associated with cancer-related and general health outcomes among cancer survivors. Past research suggests that health behaviors cluster among cancer survivors, with caregivers demonstrating similar patterns. This analysis examined co-occurrence of FVI, MVPA, and sleep duration among cancer survivors and informal cancer caregivers and identified sociodemographic and clinical correlates of health behavior engagement. Using data from the Health Information National Trends Survey (HINTS), an exploratory latent profile analysis (LPA) was conducted among those self-reporting a history of cancer or identifying as a cancer caregiver. The LPA model was fit with daily self-reported FVI (cups/d), MPVA (minutes/d) and sleep duration (hours/d). Multinomial logistic regression models were used to predict profile membership based on sociodemographic and clinical characteristics. Four health behavior profiles were identified (Least Engaged-No MVPA, Least Engaged-Low MVPA, Moderately Engaged, and Highly Engaged). The largest profile membership was Least Engaged-No MVPA, capturing 37% of the sample. Profiles were most distinguished by MVPA, with the lowest variance in sleep duration. Participants reporting higher FVI also often reported greater MVPA and longer sleep duration. Profile membership was significantly associated with age, relationship status, education, income, rurality, alcohol use, self-efficacy, psychological distress, BMI, and cancer type. This study identified four health behaviors patterns and sociodemographic correlates that distinguished those patterns among cancer survivors and caregivers drawn from a nationally representative sample. Results may help identify for whom health behavior interventions could be of greatest benefit.

ID: 341572 At-Home Daily Pain Intensity and Sleep Quality: 6-Month Results from a Prospective Multicenter Study

ID: 341572 At-Home Daily Pain Intensity and Sleep Quality: 6-Month Results from a Prospective Multicenter Study

The Impact of Social Media Usage on Mental Health Among College Students: Patterns, Psychological Effects, and Implications for Well-being

This study explores the impact of social media usage on the mental health of college students, focusing on usage patterns and psychological effects. A descriptive research design was employed, with a sample size of 121 respondents selected through stratified random sampling. Data was gathered using a closed-ended questionnaire featuring a 5-point Likert scale. The findings reveal that social media consumption varies significantly among students, with a majority experiencing mood changes and potential addiction. Furthermore, the analysis highlights the influence of social media on daily activities, sleep patterns, and overall mental well-being. The study provides valuable insights into the relationship between social media usage and mental health, offering a foundation for future research on mitigating negative psychological impacts among students.

Real-time biopsychosocial antecedents and correlates of functional neurological symptoms in daily life: A pilot remote monitoring technology study

Functional neurological symptom disorder (FNSD) is a neuropsychiatric diagnosis referring to symptoms resembling those of neurological disorders, occurring without causal neuropathology. FNSD has a complex biopsychosocial aetiology but its mechanisms are poorly understood. Remote monitoring technologies (RMT) could provide critical insights into functional neurological symptoms (FNS) in real-world contexts. We examined the feasibility and acceptability of a novel RMT protocol, to identify psychobiological correlates and antecedents of FNS in everyday life. Seventeen individuals with FNS (seizures/motor) and 17 healthy controls (HC) completed ecological momentary assessments (EMA) eight times daily for 1-week, reporting FNS severity, associated physical and psychological symptoms, and subjectively significant events. Sleep quality was reported daily. Physiological variables were measured using wearable Fitbit 5 devices. Multilevel modelling examined variables associated with FNS variability. Average EMA completion rates were good in both groups (≥80%). At week-level, the FNS group reported significantly greater subjective arousal, pain, fatigue, dissociation, negative affect, daily events, stressful events, and sleep duration, compared to HC. Objective sleep disturbance and duration, and resting heartrate, were also significantly greater in the FNS sample. FNS severity correlated significantly with daily events, affect, subjective arousal, pain, fatigue and sleep disturbance, at day- or within-day levels. Daily events and negative affect were the most prominent time-lagged predictors of within-day moment-to-moment FNS severity. RMTs are feasible and acceptable tools for investigation of FNS in real-world settings, revealing daily events and negative affect as possible triggers of FNS. Interventions targeting affective reactivity and regulation might be beneficial in this group. Larger-scale, longer-term RMT studies are needed in this population.

Sleep, Sleep Apnea, and Fatigue in People Living With HIV

Background: People living with HIV (PLWH) often report fatigue even when viral load is suppressed. Obstructive sleep apnea (OSA), which is often associated with fatigue, is common in PLWH, but whether OSA explains fatigue in this population is unknown. Setting: Academic university-affiliated HIV and Sleep Medicine Clinics. Methods: PLWH, aged 18–65 years, with a body mass index of 20–35 kg/m2 and viral suppression (RNA &lt;200 copies per mL), were recruited to undergo daytime questionnaires, including the Functional Assessment of Chronic Illness Therapy Fatigue Scale and Epworth Sleepiness Scale, 7 days of actigraphy (to determine daily sleep duration and activity amplitude and rhythms), and an in-laboratory polysomnography to assess for the presence and severity of OSA. Results: Of 120 subjects with evaluable data, 90 (75%) had OSA using the American Academy of Sleep Medicine 3% desaturation or arousal criteria, with an apnea–hypopnea index &gt;5/h. There was no difference in Functional Assessment of Chronic Illness Therapy scores between those with and without OSA, although those with OSA did report more daytime sleepiness as measured using the Epworth Sleepiness Scale. In a multivariable model, predictors of fatigue included more variable daily sleep durations and decreased mean activity counts. Sleepiness was predicted by the presence of OSA. Conclusion: OSA was very common in our cohort of PLWH, with those with OSA reporting more sleepiness but not more fatigue. Variability in sleep duration was associated with increased fatigue. Further study is needed to determine if treatment of OSA, or an emphasis on sleep consistency and timing, improves symptoms of fatigue in PLWH.

Inequities in sleep duration and quality among adolescents in Canada

BackgroundSeveral recent global events may have impacted adolescent sleep and exacerbated pre-existing disparities by social positions (i.e., social roles, identity or sociodemographic factors, and/or group memberships that are associated with power and oppression due to the structures and processes in a given society at given time). Current understanding of sleep among adolescents is critical to inform interventions for a more equitable future, given the short and long-term consequences of inadequate sleep on health and well-being. This study aimed to provide contemporary evidence on sleep disparities by key social positions among adolescents in Canada.MethodsCross-sectional analyses were conducted using self-reported data collected during 2020–2021 (the first full school year after the COVID-19 pandemic onset) from 52,138 students (mean [SD] age = 14.9 [1.5]) attending 133 Canadian secondary schools. Multiple regression models were used to test whether sleep quality (how well students slept during past week), duration (weekday, weekend, weighted daily average), and guideline adherence (8–10 h/day) differed by sex and gender, race and ethnicity, and socioeconomic status (SES).ResultsFemales reported a mean [95% CI] difference of -1.7 [-3.7, 0.4] min/day less sleep on weekdays than males, but 7.1 [4.5, 9.6] min/day more sleep on weekends, resulting in no difference in average daily sleep between males and females. Females were less likely to report good quality sleep compared to males (AOR = 0.57 [0.54, 0.60]). SES followed a generally monotonic trend where higher scores were associated with more sleep on weekdays (Δhighest: lowest = -28.6 [-39.5, -17.6]) and weekends (Δhighest: lowest = -17.5 [-3.8, -31.2]) and greater likelihood of higher sleep quality (AORhighest: lowest = 3.04 [2.35, 3.92]). Relative to White adolescents, weekday and average daily sleep duration were lower among all other racial identities; mean differences ranged from ∼ 5–15 min/day, with Black students reporting the least sleep.ConclusionsDifferences in sleep duration and quality were most profound among adolescents from the lowest and highest SES. Racial disparities were more evident on weekdays. Compensatory weekend sleep appears more pronounced in females than males. Addressing sleep inequities is critical, as a robust predictor of multiple health outcomes.

An exploratory pilot study on social rhythm regularity, and its associations with sleep, circadian, affective, and alcohol use outcomes in late adolescents.

The current exploratory pilot study examined whether social rhythm regularity, as measured by a social rhythm metric, was associated with: (1) the regularity of circadian rhythms and/or sleep regularity metrics; and (2) sleep quality, affective function and alcohol use. Late adolescents (18-22 years old) who drink alcohol (n = 36; 61.1% female, Mage = 21.26 years) completed a 14-day ecological momentary assessment protocol, wore a wrist actigraph for 14 days, and completed two overnight visits (Thursday and Sunday) to assess dim light melatonin onset. Sleep regularity metrics included standard deviation, composite phase deviation, social jet lag and inter-daily stability. We used dim light melatonin onset data to calculate the stability of the circadian phase (Sunday minus Thursday). Participants completed surveys and ecological momentary assessments that assessed global and daily sleep quality, affective function, and alcohol use. Correlational analysis and robust regression modelling were used. More regular social rhythms were associated with higher regularities of mid-sleep timing based on standard deviations, but were not associated with other sleep regularity metrics or stability of the circadian phase. More regular social rhythms were associated with better sleep quality, but were not associated with affective function or alcohol use. Social rhythm regularity is a unique construct compared with existing sleep quality metrics. In contrast with the social zeitgeber hypothesis, social rhythm regularity was not associated with circadian rhythm regularity measured by dim light melatonin onset. However, social rhythm regularity may be an under-recognized contributor to better sleep quality.

Bidirectional associations between sleep and anxiety among Chinese schoolchildren before and after the COVID-19 lockdown

The COVID-19 pandemic has critical implications for mental health in children. This study examined how the COVID-19 lockdown affected sleep duration and anxiety symptoms in Chinese school-aged children and the bidirectional association between sleep and anxiety before and during the COVID-19 lockdown. A school-based longitudinal cohort study was conducted to examine the relationship between sleep duration and anxiety scores before and after the COVID-19 lockdown from January to May 2020. Generalized estimating equations model was used to identify variables that contributed to the changes in sleep duration. The bidirectional relationship between sleep duration and anxiety symptoms was explored by cross-lagged analysis. 7681 children completed two waves of surveys were included in the analysis. The daily exercise duration, anxiety symptoms, and sleep duration decreased significantly during the lockdown compared with that before the lockdown. Based on generalized estimating equations model, older age, secondary school, and higher anxiety scores of participants were positively associated with sleep duration, while female and no COVID-19 infection history were negatively associated with it. Cross-lagged analysis showed higher anxiety score of children before the lockdown was significantly associated with shorter sleep duration during the lockdown; and shorter sleep duration of children before the lockdown was also significantly associated with a higher anxiety score during the lockdown. Under the context of the COVID-19 pandemic, there were longitudinal, bidirectional associations between children’s anxiety symptoms and sleep duration. For school students, mental health services and sleep education should be considered in the daily health education curriculum.

Daily Associations Between Sleep Parameters and Depressive Symptoms in Individuals with Insomnia: Investigating Emotional Reactivity and Regulation as Mediators

ABSTRACT Objectives Previous research suggests that insomnia and depressive symptoms might be causally related. Emotional reactivity and regulation have been proposed to explain the potential causal relationship between insomnia and depression. However, longitudinal evaluations of their mediating effects are limited. Hence, the current study aimed to examine the mediating effects of emotional reactivity and regulation on the longitudinal associations between daily sleep parameters and depressive symptoms over 14 days in individuals with insomnia. Methods Participants were sixty adults aged 18–65 who had clinically significant insomnia. They filled out a survey each morning and evening and wore actigraphy watches for 14 consecutive days. The five sleep parameters were measured by sleep diary in the morning survey (subjective total sleep time, subjective sleep efficiency, and sleep quality) and actigraphy watches (objective total sleep time and objective sleep efficiency). Emotional reactivity and emotion regulation strategy use during the day were assessed in the evening survey using the International Positive and Negative Affect Schedule Short Form, Emotion Regulation Questionnaire, and Cognitive Emotion Regulation Questionnaire. Depressive symptoms of the day were evaluated in the evening survey with the Center for Epidemiologic Studies Depression Scale. Results Results showed that sleep quality and depressive symptoms, as well as actigraphy-measured sleep efficiency and depressive symptoms, predicted each other in individuals with insomnia, mediated by negative reactivity but not emotion regulation. Conclusions The present findings support the mediating role of negative emotional reactivity in the bidirectional, daily relationship between sleep parameters and depression in individuals with insomnia.