Onset of Impaired Sleep and Cardiovascular Disease Risk Factors: A Longitudinal Study

A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signatures

Sleep is essential for optimal functioning and health. Interconnected to multiple biological, psychological and socio-environmental factors (i.e., biopsychosocial factors), the multidimensional nature of sleep is rarely capitalized on in research. Here, we deployed a data-driven approach to identify sleep-biopsychosocial profiles that linked self-reported sleep patterns to inter-individual variability in health, cognition, and lifestyle factors in 770 healthy young adults. We uncovered five profiles, including two profiles reflecting general psychopathology associated with either reports of general poor sleep or an absence of sleep complaints (i.e., sleep resilience) respectively. The three other profiles were driven by the use of sleep aids and social satisfaction, sleep duration and cognitive performance, and sleep disturbance linked to cognition and mental health. Furthermore, identified sleep-biopsychosocial profiles displayed unique patterns of brain network organization. In particular, somatomotor network connectivity alterations were involved in the relationships between sleep and biopsychosocial factors. These profiles can potentially untangle the interplay between individuals' variability in sleep, health, cognition and lifestyle - equipping research and clinical settings to better support individual's well-being.

Association between sleep duration and hypertension incidence: Systematic review and meta-analysis of cohort studies

AIM

Sleep duration has been suggested to be associated with hypertension (HTN). However, evidence of the nature of the relationship and its direction has been inconsistent. Therefore, we performed a meta-analysis to assess the relationship between sleep duration and risk of HTN incidence, and to distinguish more susceptible populations.

METHODS

PubMed, Embase, Scopus, Web of Science, and ProQuest were searched from January 2000 to May 2023 for cohort studies comparing short and long sleep durations with 7-8 hours of sleep for the risk of HTN incidence. Random-effect model (the DerSimonian-Laird method) was applied to pool risk ratios (RR) and 95% confidence interval (CI).

RESULTS

We included sixteen studies ranging from 2.4 to 18 years of follow-up duration evaluating HTN incidence in 1,044,035 people. Short sleep duration was significantly associated with a higher risk of developing HTN (HR: 1.07, 95% CI: 1.06-1.09). The association was stronger when the sleep duration was less than 5 hours (HR: 1.11, 95% CI: 1.08-1.14). In contrast to males, females (HR: 1.07, 95% CI: 1.04-1.09) were more vulnerable to developing HTN due to short sleep duration. No significant difference between different follow-up durations and age subgroups was observed. Long sleep duration was not associated with an increased incidence of HTN.

CONCLUSION

Short sleep duration was associated with higher risk of HTN incidence, however, there was no association between long sleep duration and incidence of HTN. These findings highlight the importance of implementing target-specific preventive and interventional strategies for vulnerable populations with short sleep duration to reduce the risk of HTN.

Association between longitudinal change of sleep patterns and the risk of cardiovascular diseases

STUDY OBJECTIVES

To investigate the role of longitudinal change of sleep patterns in the incidence of cardiovascular diseases (CVD).

METHODS

Based on UK Biobank, a total of 18 172 participants were enrolled. Five dimensions of healthy sleep including early chronotype, sleep 7-8 hours/day, free of insomnia, no snoring, and no frequent excessive daytime sleepiness were used to generate a healthy sleep score (HSS) ranging from 0 to 5. Corresponding to the HSS of 0-1, 2-3, and 4-5, the poor, intermediate, and healthy sleep patterns were defined. Based on changes in HSS across assessments 1 and 2, we calculated the absolute difference of HSS. For the change in sleep patterns, we categorized five profiles (stable healthy, worsening, stable intermediate, optimizing, and stable poor sleep patterns). The outcomes were incidence of CVD including coronary heart disease (CHD) and stroke. We assessed the adjusted hazard ratios and 95% confidence intervals (CIs) by Cox hazard models.

RESULTS

Compared with participants with stable poor patterns, those who improved their sleep patterns or maintained healthy sleep patterns had a 26% and 32% lower risk of CVD, respectively. Stable healthy sleep pattern was associated with a 29% and 44% reduced risk of CHD and stroke. Per unit, longitudinal increment of the HSS was related to an 8% lower risk of CVD and CHD. Compared with individuals with constant HSS, those with decreased HSS had a 13% higher risk of developing CVD.

CONCLUSIONS

Optimizing sleep patterns and maintaining a healthy sleep pattern may reduce the risk of CVD.

The association between sleep duration and cardiometabolic risk among children and adolescents in the United States (US): A NHANES study

PURPOSE

This work aims to assess the association of sleep duration with cardiometabolic risk (adiposity, blood pressure, lipids, albuminuria and A1C) and to investigate lifestyle factors (physical activity, light exposure, caffeine consumption and sugar consumption) associated with sleep duration in children.

METHODS

A nationally representative sample of 3907 children ages 6-17 years enrolled in NHANES from 2011 to 2014 was included in this cross-sectional study. Sleep duration was defined as the daily average time spent sleeping over 7 days as measured by a physical activity monitor (PAM). Participants without valid sleep data for ≥95% of the study were excluded. Regression models were adjusted for age, sex, race, body mass index (BMI) Z score, physical activity and light exposure.

RESULTS

In adjusted regression models, longer sleep duration was associated with lower systolic blood pressure index (β = -3.63 * 10-5, 95% CI -6.99 * 10-5, -2.78 * 10-6, p = 0.035) and BMI Z score (β = -0.001, 95% CI -0.001, 0.000, p = 0.002). In logistic regression models, longer sleep duration was associated with lower odds of obesity (OR = 0.998, 95% CI 0.997, 0.999, p < 0.001) and overweight status (OR = 0.998, 95% CI 0.997, 0.999, p = 0.004). Greater light exposure (β = 6.64 * 10-5, 95% CI 3.50 * 10-5, 9.69 * 10-5, p < 0.001) and physical activity (β = 0.005, 95% CI 0.004, 0.006, p < 0.001) were associated with longer sleep.

CONCLUSION

Longer sleep duration was associated with lower blood pressure and adiposity measures in children. Improving sleep quality by increasing physical activity and light exposure in childhood may decrease the lifetime risk of cardiometabolic disease.

Compromised Dynamic Cerebral Autoregulation in Patients with Restless Legs Syndrome

Background

Restless legs syndrome (RLS) is a prevalent sensorimotor nervous system disorder in patients accompanied with insomnia, blood pressure fluctuation, and sympathetic dysfunction. These symptoms may disrupt cerebral hemodynamics. Dynamic cerebral autoregulation (dCA) describes the temporary response of cerebrovascular system to abrupt fluctuations in blood pressure, which keep cerebral blood flow stable and serve as a marker of cerebrovascular system ability.

Objective

This research aimed to assess dCA in RLS patients.

Methods

In this study, RLS patients were recruited and subsequently classified into four groups (mild, moderate, severe, and very severe) based on the International RLS Rating Scale (IRLS). Healthy controls matched for age and sex were enrolled. All participants were evaluated dCA by assessing phase difference (PD). A portion of patients with RLS was reassessed for dCA after one month of medication therapy (pramipexole [0.125 mg/day] and gabapentin [300 mg/day]).

Results

There were altogether 120 patients with RLS and 30 controls completed the polysomnography and dCA assessment. PD was lower in the moderate, severe, and very severe RLS groups than that in the controls and mild RLS groups. Periodic limb movement index (PLMI), arousal index, and IRLS all showed a linear correlation with PD in RLS patients. Additionally, PD increased in RLS patients after therapy.

Conclusion

The dCA was compromised in moderate, severe, and very severe RLS patients and was negatively correlated with the IRLS, arousal index, and PLMI. After 1 month of therapy, dCA improved in RLS patients.

A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signatures

Sleep is essential for optimal functioning and health. Interconnected to multiple biological, psychological and socio-environmental factors (i.e., biopsychosocial factors), the multidimensional nature of sleep is rarely capitalized on in research. Here, we deployed a data-driven approach to identify sleep-biopsychosocial profiles that linked self-reported sleep patterns to inter-individual variability in health, cognition, and lifestyle factors in 770 healthy young adults. We uncovered five profiles, including two profiles reflecting general psychopathology associated with either reports of general poor sleep or an absence of sleep complaints (i.e., sleep resilience) respectively. The three other profiles were driven by sedative-hypnotics-use and social satisfaction, sleep duration and cognitive performance, and sleep disturbance linked to cognition and mental health. Furthermore, identified sleep-biopsychosocial profiles displayed unique patterns of brain network organization. In particular, somatomotor network connectivity alterations were involved in the relationships between sleep and biopsychosocial factors. These profiles can potentially untangle the interplay between individuals' variability in sleep, health, cognition and lifestyle - equipping research and clinical settings to better support individual's well-being.

Sleep quality and subjective well-being in healthcare students: examining the role of anxiety and depression

Objective

Sleep issues, negative emotions, and health conditions are commonly co-occurring, whereas their associations among healthcare students have yet to be elucidated. This study aimed to examine whether anxiety and depression mediate the relationship between sleep quality and subjective well-being in healthcare students.

Methods

A cross-sectional survey was conducted among Chinese healthcare students (N = 348). A battery of paper-and-pencil questionnaires-the Sleep Quality Questionnaire (SQQ), World Health Organization-Five Well-Being Index (WHO-5), and Patient Health Questionnaire-4 (PHQ-4) were applied. Descriptive analysis with means (standard deviations) and counts (proportions), Spearman correlation analysis between the SQQ, WHO-5, and PHQ-4, and mediation analysis via structural equation models were performed.

Results

Correlation analysis revealed statistically significant associations between sleep quality, anxiety and depression, and well-being among healthcare students. Mediation analysis identified that poor sleep quality produced relatively low levels of self-reported well-being, which were entirely attributable to anxiety and depression.

Conclusion

Sleep quality was associated with subjective well-being, and this interrelationship was fully mediated by anxiety and depression. Interventions aimed at promoting sleep quality of healthcare students may contribute to promoting their well-being by reducing anxiety and depression.

Objective sleep and cardiometabolic biomarkers: results from the community of mine study

Study Objectives

Examining multiple dimensions of sleep health may better capture associations between sleep and health risks, including cardiometabolic disease (CMD). Hispanics have elevated risk for inadequate sleep and CMD biomarkers. Few studies have explored whether associations between sleep and CMD differ by Hispanic ethnicity.

Methods

Leveraging data from the Community of Mine (CoM) study, a cross-sectional investigation of 602 ethnically diverse participants, we derived accelerometer-measured sleep duration and efficiency, and self-reported sleep quality. Accelerometer-measured sleep exposures were analyzed both as continuous and categorical variables. Multivariate and quantile regression models were used to assess associations between sleep and CMD biomarkers (insulin resistance, systolic blood pressure, and low-density-lipoprotein cholesterol), controlling for age, sex, ethnicity, education, smoking status, and body mass index. We examined the potential effect modification of Hispanic ethnicity.

Results

We observed mixed results based on CMD biomarkers and sleep exposure. Increased sleep duration was significantly related to low-density lipoprotein cholesterol in adjusted models (estimate = 0.06; 95% CI: 0.02, 0.11). Poor sleep efficiency was associated with greater insulin resistance in the adjusted quantile (estimate = 0.20; 95% CI: 0.04, 0.36) model at the 90th percentile. Self-reported sleep quality was not associated with CMD outcomes. There was no evidence of effect modification by Hispanic ethnicity.

Conclusions

In this cohort, sleep health measures were found to have mixed and at times opposing effects on CMD outcomes. These effects did not demonstrate an interaction with Hispanic ethnicity.

Non-linear relationship between sleep duration and blood pressure in children with short stature

Background

Evidence regarding the relationship between sleep duration and blood pressure is controversial. Therefore, the aim of this study was to investigate the relationship between sleep duration and blood pressure in children with short stature.

Methods

A total of 1,085 participants with short stature were enrolled from the Affiliated Hospital of Jining Medical University in China. The variables involved in this study included sleep duration, anthropometric indicators and biochemical parameters. Sleep duration was evaluated in a face-to-face interview.

Results

The average age of the 1,085 selected participants was 10.2 ± 3.5 years old, and approximately 763 (70.32%) of them were male. The results of adjusted linear regression showed that sleep duration was negatively associated with systolic blood pressure z scores (SBP-Z) and diastolic blood pressure z scores (DBP-Z) after adjusting for confounders (β -0.07, 95% CI -0.13, -0.01 P = 0.038; β -0.05, 95% CI -0.10, -0.01 P = 0.035, respectively). A nonlinear relationship was detected between sleep duration and blood pressure, including SBP-Z, DBP-Z and mean arterial pressure z scores (MAP-Z). The inflection point of the nonlinear relationship between sleep duration and SBP-Z is 10 h, and the inflection point of DBP-Z and MAP-Z is 8 h.

Conclusion

This study revealed a nonlinear relationship between sleep duration and blood pressure in children with short stature. The findings suggest that the optimal sleep duration in children with short stature was 8-10 h, and sleep durations either too short or too long were associated with increased blood pressure levels.

Poor sleep and shift work associate with increased blood pressure and inflammation in UK Biobank participants

Disrupted circadian rhythms have been linked to an increased risk of hypertension and cardiovascular disease. However, many studies show inconsistent findings and are not sufficiently powered for targeted subgroup analyses. Using the UK Biobank cohort, we evaluate the association between circadian rhythm-disrupting behaviours, blood pressure (SBP, DBP) and inflammatory markers in >350,000 adults with European white British ancestry. The independent U-shaped relationship between sleep length and SBP/DBP is most prominent with a low inflammatory status. Poor sleep quality and permanent night shift work are also positively associated with SBP/DBP. Although fully adjusting for BMI in the linear regression model attenuated effect sizes, these associations remain significant. Two-sample Mendelian Randomisation (MR) analyses support a potential causal effect of long sleep, short sleep, chronotype, daytime napping and sleep duration on SBP/DBP. Thus, in the current study, we present a positive association between circadian rhythm-disrupting behaviours and SBP/DBP regulation in males and females that is largely independent of age.

Joint Associations of Device-Measured Sleep Duration and Efficiency With All-Cause and Cause-Specific Mortality: A Prospective Cohort Study of 90 398 UK Biobank Participants

BACKGROUND

Both sleep duration and efficiency are essential for health outcomes. However, few studies have considered the effects of both sleep duration and efficiency on predicting the risks of mortality. This study investigated the independent and joint associations of accelerometer-measured sleep duration and efficiency with all-cause and cause-specific mortality.

METHODS

The UK Biobank is a cohort study of over 500 000 individuals recruited between 2006 and 2010. This study included participants wearing wrist accelerometers for 7 consecutive days between February 2013 and December 2015. Mortality was ascertained by the national death registries.

RESULTS

Of the 90 398 participants (age, 62.4 [7.8] years, 43.5% male) who were included, 2 685 deaths were reported within a median follow-up duration of 6.4 years. Both accelerometer-measured short (adjusted hazard ratios, 1.27; 95% confidence interval [CI]: 1.11-1.45) and long sleep duration (adjusted hazard ratios, 1.16; 95% CI: 1.06-1.28) were positively associated with the risks of all-cause mortality. Lower sleep efficiency was associated with an increased risk of all-cause and cause-specific mortality. Significant interaction existed between accelerometer-measured sleep duration and efficiency for the risk of all-cause mortality (Pinteraction = .001), participants with long sleep duration and lower sleep efficiency had a double mortality risk compared with those with higher sleep efficiency and normal sleep duration (adjusted hazard ratios = 2.11; 95% CI: 1.44-3.09).

CONCLUSIONS

Accelerometer-measured short/long sleep duration and lower sleep efficiency were associated with increased risks of mortality. Sleep efficiency modified the effects of long sleep duration on survival.

Behavioral Sleep Interventions and Cardiovascular Risk Factors: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND/OBJECTIVES

Chronic sleep disturbance has been consistently associated with cardiovascular disease. We sought to determine whether behavioral interventions to improve sleep have been associated with improvements in 4 common cardiovascular disease risk factors: hypertension, diabetes mellitus (DM), obesity, and smoking.

METHODS

Randomized controlled trials evaluating the prospective effect of behavioral sleep interventions on (a) blood pressure in participants with hypertension/prehypertension, (b) glycemic control in participants with DM/pre-DM, (c) anthropometrics in participants who were overweight/obese, and (d) smoking status in smokers were eligible. Where feasible, we undertook random-effects meta-analyses of standardized mean differences in cardiovascular disease risk factor change.

RESULTS

Overall, 3 trials met the inclusion criteria for blood pressure, 4 for glycemic control, 9 for overweight/obesity, and 2 for smoking. On meta-analysis, interventions with sleep as the sole behavioral target were associated with a significant reduction in hemoglobin A1c% (-0.84; 95% confidence interval [CI], -1.34 to -0.34), but not a significant reduction in systolic blood pressure (-0.18; 95% CI, -0.55 to 0.20) versus controls. In addition, any interventions with sleep as a behavioral target were associated with significant reductions in hemoglobin A1c% (-0.71; 95% CI, -1.01 to -0.42) and weight (-0.78; 95% CI, -1.11 to -0.45), but not systolic blood pressure (-0.72; 95% CI, -1.82 to 0.37). Trials evaluating smoking status were not amenable to meta-analysis.

CONCLUSION

Behavioral interventions to improve sleep were associated with improved glycemic control in patients with DM. It is also possible that these interventions improve weight in individuals who were overweight/obese. A low number of trials and small sample sizes indicate that further large, well-designed randomized controlled trials of interventions are warranted.

The Devastating Effects of Sleep Deprivation on Memory: Lessons from Rodent Models

In this narrative review article, we discuss the role of sleep deprivation (SD) in memory processing in rodent models. Numerous studies have examined the effects of SD on memory, with the majority showing that sleep disorders negatively affect memory. Currently, a consensus has not been established on which damage mechanism is the most appropriate. This critical issue in the neuroscience of sleep remains largely unknown. This review article aims to elucidate the mechanisms that underlie the damaging effects of SD on memory. It also proposes a scientific solution that might explain some findings. We have chosen to summarize literature that is both representative and comprehensive, as well as innovative in its approach. We examined the effects of SD on memory, including synaptic plasticity, neuritis, oxidative stress, and neurotransmitters. Results provide valuable insights into the mechanisms by which SD impairs memory function.

Mediating Roles of Stress, Anxiety, and Depression in the Relationship between Constipation and Sleep Quality among the Elderly: Structural Equation Modeling (SEM)

Introduction  Sleep quality is an important health index in the elderly. As age increases, changes occur in sleep quality leading to sleep disorders and recurrent complaints. Sleep quality management of the elderly requires identification of its determinants. The present study aimed to determine the mediating roles of stress, anxiety, and depression in the relationship between constipation and sleep quality among the elderly using structural equation modeling (SEM). Materials and Methods  A correlational design was used in the present study through structural equation modeling. In this work, 363 elderlies were examined by multi-stage random sampling. Data collection tools included four questionnaires, namely a demographic information questionnaire, the constipation questionnaire (ROME III), the Depression, Anxiety, and Stress Scale-short form, and the Pittsburgh Sleep Quality Index (PSQI), which were completed by interview and the self-report method. The SPSS Statistics for Windows, version 22.0, and SPSS AMOS (IBM Corp., Armonk, NY, USA) were used to analyze the data. Results  The results indicated that the proposed model had an acceptable fit ( p  < 0.000, root mean square error of approximation [RMSEA] = 0.062, comparative fit index [CFI] = 0.83, goodness-of-fit index [GFI] = 0.87, and Χ ² /df = 1.94). The fitted model could explain 60% of the sleep quality variance. According to the proposed model, constipation could significantly predict sleep quality due to the mediation of stress, anxiety, and depression ( p  < 0.05). Conclusion  The constructs of this model (constipation, stress, anxiety, and depression) can be used as a reference framework to design effective interventions and improve sleep quality in old people.

Nonrestorative sleep is a risk factor for metabolic syndrome in the general Japanese population

BACKGROUND

This longitudinal study aimed to investigate the effects of nonrestorative sleep on developing metabolic syndrome (MetS) and related diseases in a general Japanese middle-aged population.

METHODS

Overall, 83,224 adults without MetS (mean age: 51.5 ± 3.5 years) from the Health Insurance Association in Japan were followed up for a maximum of 8 years between 2011 and 2019. The Cox proportional hazard method was used to determine whether nonrestorative sleep, assessed using a single-item question, was significantly associated with the respective development of MetS, obesity, hypertension, diabetes, and dyslipidemia. The MetS criteria were adopted by the Examination Committee for Criteria of Metabolic Syndrome in Japan.

RESULTS

The mean follow-up duration was 6.0 years. The incidence rate of MetS was 50.1 person-years/1,000 during the study period. Data suggested that nonrestorative sleep was associated with MetS (hazard ratio [HR]: 1.12, 95% confidence interval [CI]: 1.08-1.16) and other disorders, such as obesity (HR: 1.07, 95% CI: 1.02-1.12), hypertension (HR: 1.07, 95% CI: 1.04-1.11), and diabetes (HR: 1.07, 95% CI: 1.01-1.12) but not with dyslipidemia (HR: 1.00, 95% CI: 0.97-1.03).

CONCLUSIONS

Nonrestorative sleep is associated with the development of MetS and many of its core components in the middle-aged Japanese population. Therefore, assessing nonrestorative sleep may help identify individuals at a risk of MetS development.

The importance of sleep patterns in the incidence of coronary heart disease: a 6-year prospective study in Mashhad, Iran

Chronic shortened sleep can increase several cardiovascular risk factors, including depression, anxiety, metabolic syndrome, diabetes and hypertension. In the current study, we aimed to investigate the relationship between sleep patterns and the incidence of coronary heart disease (CHD). A total of 9704 healthy participants were recruited for the MASHAD cohort study. Within 6 years of follow-up, participants were categorized into four groups based on their number of hours of nightly sleep. Cox's proportional hazard model was used to assess relative risks (RRs) and 95% confidence intervals (CIs). During the study, 235 heart problems, including myocardial infarction, stable angina and unstable angina, were confirmed. There were significant differences between men and women who had short and long nightly sleep (p < 0.05). The incidence of CHD was significantly higher in participants with very short night sleep durations than in those with longer hours of night sleep. The subjects with very short nightly sleep were more susceptible to unstable angina (RR: 2.614 (CI 1.354-5.047)) (p < 0.05). We found that shortened nightly sleep was associated with an increased incidence of coronary heart disease in an Iranian population. These findings suggest that sleep disorders, especially shortened night sleep, can be a risk factor for CHD.

The Association between Hypertension and Insomnia: A Bidirectional Meta-Analysis of Prospective Cohort Studies

Background

Studies on bidirectional associations between hypertension and insomnia are inconclusive. The purpose of this meta-analysis was to systematically review and summarize the current evidence from epidemiological studies that evaluated this relationship.

Materials and Methods

PubMed, Embase, China National Knowledge Infrastructure (CNKI), Wan Fang, and VIP databases were searched for studies published up to May 2021. Prospective cohort studies that reported the relationship between hypertension and insomnia in adults were included. Data were extracted or provided by the authors according to the prevalence rate, incidence rate, unadjusted or adjusted odds ratio (OR), and 95% confidence interval (CI). Heterogeneity was assessed by I2 statistics. ORs were pooled by using random-effects models.

Results

A total of 23 prospective studies were identified. Twenty cohort studies recorded OR-adjusted value with the outcome for hypertension (OR = 1.11, 95% CI: 1.07-1.16; I2 = 83.9%), and three cohort studies reported OR-adjusted value with the outcome for insomnia (OR = 1.20, 95%CI: 1.08-1.32; I2 = 35.1%). Subgroup analysis showed that early morning awakening and composite insomnia were significantly associated with hypertension.

Conclusions

The result indicates a possible bidirectional association between hypertension and insomnia. Early identification and prevention of insomnia in hypertension patients are needed, and vice versa.

A latent class approach to understanding longitudinal sleep health and the association with alcohol and cannabis use during late adolescence and emerging adulthood

OBJECTIVE

Sleep is a multi-dimensional health behavior associated with elevated risk of substance use. This is the first study to utilize a latent class approach to characterize sleep health across multiple dimensions and across time from late adolescence to emerging adulthood, and to examine associations with alcohol and cannabis use trajectories.

METHODS

The sample included 2995 emerging adults (mean ages = 18 to 24 years across six waves of data collection; 54% female) who provided data on sleep dimensions (quality, duration, and social jetlag) and frequency and consequences of alcohol and cannabis use. Longitudinal latent class analysis (LLCA) models characterized participants according to the three sleep dimensions. Latent growth models examined trajectories of frequency and consequences of alcohol or cannabis use over time among emergent sleep classes, with and without controlling for covariates.

RESULTS

LLCA models identified four sleep classes: good sleepers (n = 451; 15.2%); untroubled poor sleepers (n = 1024; 34.2%); troubled, moderately good sleepers (n = 1056; 35.3%); and suboptimal sleepers (n = 460; 15.4%). Good sleepers reported significantly lower levels of alcohol or cannabis use and consequences, and less of an increase in alcohol consequences as compared to suboptimal sleepers.

CONCLUSIONS

Persistent poor sleep health was associated with higher levels of alcohol and cannabis use and consequences, and greater increases in alcohol-related consequences during the transition from late adolescence to emerging adulthood. Findings have important clinical implications, highlighting that addressing multi-dimensional sleep health may be an important, novel target of intervention to reduce substance use frequency and consequences.

Posttraumatic stress disorder (PTSD), sleep, and cardiovascular disease risk: A mechanism-focused narrative review

OBJECTIVE

Growing longitudinal research has demonstrated that posttraumatic stress disorder (PTSD) precedes and predicts the onset of cardiovascular disease (CVD), and a number of physiological (e.g., dysregulation of the hypothalamic-pituitary-adrenal axis and autonomic nervous system, chronic systemic inflammation) and behavioral (e.g., physical inactivity, smoking, poor diet) factors might underlie this association. In this narrative review, we focus on sleep as a modifiable risk factor linking PTSD with CVD.

METHOD

We summarize the evidence for sleep disturbance after trauma exposure and the potential cardiotoxic effects of poor sleep, with an emphasis on mechanisms. In addition, we review the literature that has examined sleep in the context of the PTSD-CVD risk relation.

RESULTS

Although sleep disturbance is a hallmark symptom of PTSD and a well-established risk factor for the development of CVD, the role of sleep in the association between PTSD and CVD has been largely unexamined in the extant literature. However, such work has the potential to improve our understanding of mechanisms of risk and inform intervention efforts to offset elevated CVD risk after trauma.

CONCLUSIONS

We outline several recommendations for future research and behavioral medicine models in order to help define and address the role of sleep behavior in the development of CVD among trauma-exposed individuals with PTSD. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The temporal dynamics of sleep disturbance and psychopathology in psychosis: a digital sampling study

BACKGROUND

Sleep disruption is a common precursor to deterioration and relapse in people living with psychotic disorders. Understanding the temporal relationship between sleep and psychopathology is important for identifying and developing interventions which target key variables that contribute to relapse.

METHODS

We used a purpose-built digital platform to sample self-reported sleep and psychopathology variables over 1 year, in 36 individuals with schizophrenia. Once-daily measures of sleep duration and sleep quality, and fluctuations in psychopathology (positive and negative affect, cognition and psychotic symptoms) were captured. We examined the temporal relationship between these variables using the Differential Time-Varying Effect (DTVEM) hybrid exploratory-confirmatory model.

RESULTS

Poorer sleep quality and shorter sleep duration maximally predicted deterioration in psychosis symptoms over the subsequent 1-8 and 1-12 days, respectively. These relationships were also mediated by negative affect and cognitive symptoms. Psychopathology variables also predicted sleep quality, but not sleep duration, and the effect sizes were smaller and of shorter lag duration.

CONCLUSIONS

Reduced sleep duration and poorer sleep quality anticipate the exacerbation of psychotic symptoms by approximately 1-2 weeks, and negative affect and cognitive symptoms mediate this relationship. We also observed a reciprocal relationship that was of shorter duration and smaller magnitude. Sleep disturbance may play a causal role in symptom exacerbation and relapse, and represents an important and tractable target for intervention. It warrants greater attention as an early warning sign of deterioration, and low-burden, user-friendly digital tools may play a role in its early detection.

Associations of α-linolenic acid dietary intake with very short sleep duration in adults

Objectives

This study aimed to investigate the association of α-linolenic acid (ALA; 18:3 ω-3) dietary intake with very short sleep duration (<5 h) in adults based on the CDC's National Health and Nutrition Examination Survey data.

Methods

Multinomial logistic regression was used to explore the association of ALA intake with very short sleep. To make the estimation more robust, bootstrap methods of 1,000 replications were performed. Rolling window method was used to investigate the trend of the odds ratios of very short sleep with age. A Kruskal-Wallis test was applied to estimate the differences in the ORs of very short sleep between genders and different age groups.

Results

Compared with the first tertile, the ORs of very short sleep and the corresponding 95% CIs for the second and the third tertile of dietary ALA intake in males were 0.618 (0.612, 0.624) and 0.544 (0.538, 0.551), respectively, and in females were 0.575 (0.612, 0.624) and 0.432 (0.427, 0.437). In most cases, the differences between different ages were more significant than those between different sexes. Men's very short sleep odds ratios for the second tertile of ALA intake increased linearly with age before 60.

Conclusions

The risk of a very short sleep duration was negatively related to the dietary intake of ALA. The effect of ALA on very short sleep is significantly different among groups of different genders and ages.

Association of sleep-related disorders with cardiovascular disease among adults in the United States: A cross-sectional study based on national health and nutrition examination survey 2005–2008

Background and objective

The association between sleep-related disorders and cardiovascular diseases (CVDs) remains controversial and lacks epidemiological evidence in the general population. We investigated whether sleep-related disorders are related to CVDs in a large, nationally representative, diverse sample of American adults.

Materials and methods

Data were collected from the National Health and Nutrition Examination Survey (NHANES) 2005–2008. Logistic regression was performed to explore associations of sleep-related disorders with the prevalence of total and specific CVDs. Stratified subgroup analysis was performed to exclude interactions between variables and sleep-related disorders. Non-linearity was explored using restricted cubic splines.

Results

In total, 7,850 participants aged over 20 years were included. After controlling for confounders, multivariate regression analysis showed that sleep problems were associated increases in risk of 75% for CVD (OR: 1.75; 95% CI 1.41, 2.16), 128% for congestive heart failure (CHF) (OR: 2.28; 95% CI 1.69, 3.09), 44% for coronary heart disease (CHD) (OR: 1.44; 95% CI 1.12, 1.85), 96% for angina pectoris (AP) (OR: 1.96; 95% CI 1.40, 2.74), 105% for heart attack (OR: 2.05; 95% CI 1.67, 2.53) and 78% for stroke (OR: 1.78; 95% CI 1.32, 2.40). Daytime sleepiness was associated increases in risk of 54% for CVD (OR: 1.54; 95% CI 1.25, 1.89), 73% for CHF (OR: 1.73; 95% CI 1.22, 2.46), 53% for AP (OR: 1.53; 95% CI 1.12, 2.10), 51% for heart attack (OR: 1.51; 95% CI 1.18, 1.95), and 60% for stroke (OR: 1.60; 95% CI 1.09, 2.36). Participants with insufficient sleep had a 1.42-fold higher likelihood of CVD (OR: 1.42; 95% CI 1.13, 1.78) and a 1.59-fold higher likelihood of heart attack (OR: 1.59; 95% CI 1.19, 2.13) than participants with adequate sleep. Prolonged sleep-onset latency was associated with an increased risk of CVD (OR: 1.59; 95% CI 1.17, 2.15), CHF (OR: 2.08; 95% CI 1.33, 3.23) and heart attack (OR: 1.76; 95% CI 1.29, 2.41). Short sleep-onset latency was associated with a 36% reduction in stroke risk (OR: 0.64; 95% CI 0.45, 0.90). The association of sleep problems with CVD risk was more pronounced in the group younger than 60 years (p for interaction = 0.019), and the relationship between short sleep-onset latency and total CVD differed by sex (p for interaction = 0.049). Additionally, restricted cubic splines confirmed a linear relationship between sleep-onset latency time and CVD (p for non-linearity = 0.839) and a non-linear relationship between sleep duration and CVD (p for non-linearity <0.001).

Conclusion

According to a limited NHANES sample used to examine sleep-related disorders and CVD, total and specific CVDs could be associated with certain sleep-related disorders. Additionally, our study uniquely indicates that CVD risk should be considered in participants younger than 60 years with sleep problems, and shortened sleep-onset latency may be a CVD protective factor in females.

Are sleep quality judgments comparable across individuals, places, and spaces? An interdisciplinary analysis of data from 207,608 individuals across 68 countries

OBJECTIVES

Significant research has shown that health is a heterogeneous concept, and one person's poor health may not be comparable with another's. Yet, little consideration has been given to whether sleep quality judgments are also heterogeneous or whether they cohere between individuals. Another possibility is that there are group differences in the ways in which sleep quality is perceived. If this is the case, it is possible known inequalities in sleep are-in part-an artifact of social position influencing how we conceive of sleep problems. The current study explores this possibility.

DESIGN

Cross-sectional, using World Health Organization data from 207,608 individuals; aged between 15 and 101 years of age from 68 countries. Alongside a battery of sleep and demographic variables, data contained sleep and energy vignettes. Random effect anchoring vignette models were applied to investigate interpersonal incompatibility and whether sleep quality perceptions operate differently depending on social location, context, and function.

RESULTS

While sleep quality judgments are largely comparable across individuals, findings also highlight how the relationship between education and self-reported sleep changes following adjustment for reporting heterogeneity. Estimates of threshold parameters suggest that those with more years of education have a slightly increased threshold for reporting mild sleep problems (B 0.005; s.e. 0.001) but a lower threshold for reporting sleep problems as extreme (B -0.007; s.e. 0.001).

CONCLUSIONS

Sleep quality judgments occupy a complex position between heterogeneity and coherence. This has implications for both epidemiological methodologies and contemporary debates about social justice, public health and sleep.

Prevalence And Predictors of Restless Leg Syndrome in Adolescent and Young Adults in Bengaluru City, India - a Cross Sectional Study

INTRODUCTION

Restless leg syndrome (RLS) is a sensorimotor disease characterized by an urge to move the legs, often caused by uncomfortable and unpleasant sensations in the legs. It affects the quality of sleep which in turn affects scholastic performance in children and predisposes them to cardiovascular diseases in the long run. Hence, the primary aim of this study was to assess the prevalence and predictors of RLS, poor sleep quality and excessive daytime sleepiness (EDS) Methods: This was a cross sectional observational study conducted between September 2017 and March 2020 in Bengaluru, India including all consenting Pre - university college, Degree college, and Higher secondary school students. After parental consent and assent (if applicable) was obtained, a semi-structured standardized pilot tested questionnaire consisting of the RLS diagnostic criteria, Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS) and questions on sleep hygiene was administered. The prevalence was expressed as proportions and 95% confidence intervals (95% CI). Regression analysis was done to determine the predictors.

RESULTS

The overall prevalence (95CI; frequency) of students with RLS, poor sleep quality and EDS in our study population was 8.36% (7.54, 9.24; n=1544/4211), 36.67% (35.21, 38.14; n=1544/4211) and 39.87% (38.39, 41.37; n=1679/4211), respectively. PSQI and Epworth score were the significant predictors of RLS. Age, Epworth score, knowledge score and the number of unacceptable sleep habits were the significant predictors of sleep quality. Female gender, PSQI, RLS, knowledge score and the number of unacceptable sleep habits were the significant predictors of EDS.

CONCLUSIONS

The prevalence of RLS, those with poor sleep quality and EDS among adolescents and young adults was higher when compared to the historical data of general population in the same city.

The Effects of Insomnia and Sleep Loss on Cardiovascular Disease

Sleep loss has negative impacts on quality of life, mood, cognitive function and heath. Insomnia or difficulty sleeping is also a prevalent issue, affecting up to 35% of the population at some point in their lives. Insomnia is linked to poor mood, increased use of health care resources, and decreased quality of life as well as possible links to cardiovascular risk factors and disease. Studies have shown an increase in cortisol levels, decreased immunity, and increased markers of sympathetic activity in sleep-deprived healthy subjects and those with chronic insomnia. The literature also shows that subjective complaints consistent with chronic insomnia and shortened sleep time, both independently and in combination, can be associated with the development of diabetes, hypertension, and cardiovascular disease. In this article, we will explore the relationship and strength of association between insufficient sleep and insomnia with these health conditions.

Association between insomnia and subclinical atherosclerosis among Chinese steelworkers: a cross-sectional survey

Background

Insomnia is a common prevalent sleep disorder. Difficulty maintaining sleep or poor in quality in insomnia caused by disrupted or misaligned circadian rhythms may play an important role in the development of atherosclerosis. This study aimed to examine the association between insomnia and subclinical atherosclerosis in Chinese steelworkers.

Methods

A total of 3240 subjects from a large enterprise located in northern China were included in this study. The Athens Insomnia Scale (AIS) was used to assess the status of insomnia. Subclinical atherosclerosis was evaluated using ultrasonographic measurements of carotid plaque. Multivariable logistic regression was used to identify association between insomnia and carotid atherosclerosis.

Results

The overall prevalence of insomnia and carotid plaque were 35.3 and 31.7% in the study population. Compared with non-insomnia workers, significantly increased odds of carotid plaque were observed among insomnia workers after adjusting for potential confounders, odds ratio (OR) = 1.38, 95% confidence interval (CI): 1.17 to 1.63. Exposure to current shift work and insomnia simultaneously can significantly elevated the odds of carotid plaque.

Conclusion

Insomnia is associated with elevated odds of carotid atherosclerosis in male steelworkers. Insomnia problems of workers should receive further attention in occupational worker health interventions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13690-022-00834-1.

Gender Differences in the Relationships between Perceived Stress, Eating Behaviors, Sleep, Dietary Risk, and Body Mass Index

Background: Obesity is a growing epidemic among university students, and the high levels of stress reported by this population could contribute to this issue. Singular relationships between perceived stress; engagement in restrained, uncontrolled, and emotional eating; sleep; dietary risk; and body mass index (BMI) have been reported in the current body of literature; however, these constructs interact with each other, and the complex relationships among them are infrequently examined. Therefore, the aim of the present study was to explore the complex relationships between these constructs using mediation and moderation analyses stratified by gender. Methods: A cross-sectional study, enrolling university students from the United States (U.S.), the Netherlands, South Korea, Malaysia, Ireland, Ghana, and China, was conducted between October 2020 and January 2021 during the COVID-19 pandemic. Perceived stress; maladaptive eating behaviors including restrained, uncontrolled, and emotional eating; sleep duration and quality; dietary risk; and BMI were assessed using validated questionnaires, which were distributed through an online platform. Results: A total of 1392 students completed the online survey (379 male, 973 female, and 40 who self-identified as “other”). Uncontrolled and emotional eating mediated the relationship between perceived stress and dietary risk for both males and females; higher sleep quality weakened this relationship among female students but not males. Emotional eating mediated the relationship between perceived stress and BMI for both males and females, but higher sleep quality weakened this relationship only among females. Conclusions: Our findings suggest that students in higher education are likely to benefit from interventions to reduce uncontrolled and emotional eating. Programs that improve sleep quality, especially during highly stressful periods, may be helpful.

The complicated impact of media use before bed on sleep: Results from a combination of objective EEG sleep measurement and media diaries

Media use has been linked to sleep disturbance, but the results are inconsistent. This study explores moderating conditions. A media diary study with 58 free-living adults measured the time spent with media before bed, the location of use, and multitasking. Electroencephalography (EEG) captured bedtime, total sleep time, and the percent of time spent in deep (Stage N3), and rapid eye movement (REM) sleep. Media use in the hour before sleep onset was associated with an earlier bedtime. If the before bed use did not involve multitasking and was conducted in bed, that use was also associated with more total sleep time. Media use duration was positively associated with (later) bedtime and negatively associated with total sleep time. Sleep quality, operationalised as the percent of total sleep time spent in N3 and REM sleep, was unaffected by media use before bed. Bedtime media use might not be as detrimental for sleep as some previous research has shown. Important contextual variables moderate the relationship, such as location, multitasking, and session length.

Prevalence of Sleep Disorders and Associated Factors in People Living With HIV in the Ceará, Brazil: A Cross-sectional Study

ABSTRACT

The aim of this study was to determine the prevalence of sleep disorders and associated factors in people living with HIV (PLWH). This was a cross-sectional study with a sample of 385 participants followed-up on an outpatient basis in Fortaleza, Ceará, Brazil. Interviews were conducted using the Sociodemographic, Epidemiological and Clinical Form for PLWH and the Pittsburgh Sleep Quality Index. Descriptive statistics and univariate and multivariate logistic regression analysis were performed, and the odds ratio (OR) and 95% confidence interval (95% CI) were calculated, considering p < .05 as statistically significant. The prevalence of sleep disorders was 43.38%. Having children (p = .0054; OR = 1.91; 95% CI = 1.21-3.01), less than 8 years of education (p = .0013; OR = 2.11; 95% CI = 1.34-3.34), and not engaging in regular physical exercise (p = .0001; OR = 2.61; 95% CI = 1.61-4.23) were factors associated with the occurrence of sleep disorders. It was concluded that almost half of the sample had sleep disorders, especially those with children, low level education, and sedentary habits. These data point to the need for increased guidance on sleep hygiene, in addition to the practice of regular physical exercise for this population.

Evaluating the relationship of sleep quality and sleep duration with Framingham coronary heart disease risk score

Sleep is an important modulator of cardiovascular function and is recognized to play an important role in the pathogenesis and progression of cardiovascular disease. However, results of the studies investigating the relationship between sleep complaints and cardiovascular outcomes are still controversial. This study aimed to investigate the associations of sleep duration and sleep quality with Framingham 10-year hard coronary heart disease (CHD) risk score in Turkish adults. We included a total of 362 participants (mean age: 48.5 ± 9.0 years, 50.6% males) and measured sleep quality and sleep duration using Pittsburgh Sleep Quality Index (PSQI). Framingham risk scoring system was utilized to calculate the 10-year hard CHD risk of participants. Binary logistic regression analysis was performed to determine the association between sleep quality, sleep duration, and CHD risk. Both short sleep duration (<6 hours) (OR = 3.858, 95% CI: 1.245-11.956) and long sleep duration (≥8 hours) (OR = 2.944, 95% CI: 1.087-7.967) were identified as the predictors of 10-year hard CHD risk. However, sleep quality was not associated with 10-year CHD risk even as a categorical or continuous variable (OR = 0.864, 95% CI: 0.418-1.787 and OR = 0.985, 95% CI: 0.868-1.117, respectively). Our findings highlighted previous studies demonstrating the U-shaped relationship, with both short and long sleep durations to be associated with a higher CHD risk. Evaluation of habitual sleeping patterns may provide additional information in clinical cardiovascular risk assessment. Future research should investigate whether interventions to optimize sleep duration may help to prevent coronary events in large population-based cohorts.

Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review

OBJECTIVE

The identification of methodology for modelling cardiovascular disease (CVD) risk using longitudinal data and risk factor trajectories.

METHODS

We screened MEDLINE-Ovid from inception until 3 June 2020. MeSH and text search terms covered three areas: data type, modelling type and disease area including search terms such as "longitudinal", "trajector*" and "cardiovasc*" respectively. Studies were filtered to meet the following inclusion criteria: longitudinal individual patient data in adult patients with ≥3 time-points and a CVD or mortality outcome. Studies were screened and analyzed by one author. Any queries were discussed with the other authors. Comparisons were made between the methods identified looking at assumptions, flexibility and software availability.

RESULTS

From the initial 2601 studies returned by the searches 80 studies were included. Four statistical approaches were identified for modelling the longitudinal data: 3 (4%) studies compared time points with simple statistical tests, 40 (50%) used single-stage approaches, such as including single time points or summary measures in survival models, 29 (36%) used two-stage approaches including an estimated longitudinal parameter in survival models, and 8 (10%) used joint models which modelled the longitudinal and survival data together. The proportion of CVD risk prediction models created using longitudinal data using two-stage and joint models increased over time.

CONCLUSIONS

Single stage models are still heavily utilized by many CVD risk prediction studies for modelling longitudinal data. Future studies should fully utilize available longitudinal data when analyzing CVD risk by employing two-stage and joint approaches which can often better utilize the available data.

Poor sleep quality is associated with worse self-rated health in long sleep duration but not short sleep duration

Unhealthy sleep duration, either short or long, is associated with worse health and central subjective dimensions of sleep and health such as fatigue. It has been argued that the link between sleep duration and health may depend on the quality of the slept hours, and on its functional impact (ie, fatigue). The present study therefore assessed whether the relationship between last night's sleep duration and general self-rated health (SRH) differs as a function of sleep quality, and secondly, whether current fatigue and sleep quality are factors linking sleep duration and SRH. The present cross-sectional dataset involved 1304 individuals (57% female, M_age = 28.8, range 18-79). Participants completed surveys for general SRH, previous night's sleep duration and sleep quality, and current fatigue. Results showed the expected inverted U-shaped (ie, quadratic) relation between last night's sleep duration and SRH and a linear relation between last night's sleep quality and SRH. However, long sleep duration was only associated with poorer SRH in individuals who also reported poor sleep quality. Further, the quadratic relationship between sleep duration and SRH was partially mediated by fatigue and sleep quality. The results of this multi-study analysis suggest that SRH is particularly poor in those who slept both long and with poor quality the night before, while good sleep quality may protect those with a long sleep duration from poor SRH. Thus, last night's long sleep does not seem to be associated with poor subjective health unless it is coupled with poor sleep quality. Furthermore, fatigue and sleep quality are potential pathways linking short and long sleep duration with SRH. Different dimensions of sleep interact in their association with health, and future research will benefit from an integrative approach.

Sleep duration and risk of hyperlipidemia: a systematic review and meta-analysis of prospective studies

PURPOSE

Current studies indicate that the association between sleep duration and risk of hyperlipidemia is uncertain. This systematic review aimed to evaluate relevant prospective studies and make a definite conclusion.

METHODS

Three databases were searched for prospective studies on the relationship between sleep duration and hyperlipidemia risk from their inception to October 2020.

RESULTS

We identified twelve studies involving 114,439 participants. Follow-up for incident hyperlipidemia ranged from 200 days to 10 years. Neither long (RR:1.00, 95%CI:0.90-1.11, P > 0.05) nor short (RR:0.99, 95%CI:0.94-1.05, P > 0.05) sleep duration had a significant association with increased hyperlipidemia risk in adults. However, long sleep duration was decidedly associated with low HDL-C (RR:0.19, 95%CI: - 0.03-0.40, P < 0.05) and high triglycerides (RR: - 0.20, 95%CI: - 0.43-0.03, P < 0.05) in children and adolescents.

CONCLUSION

Long sleep duration has strong associations with risks of low HDL-C and high triglycerides in children and adolescents. The mechanisms underlying this association deserves to be explored in future studies.

Associations Between Sleep Quality and 10-Year Cardiovascular Disease Risk Among Female Nurses in Hong Kong: A Cross-sectional Study

BACKGROUND

Sleep problems are common among nurses compared with the general population. Poor sleep quality increases the risk of developing cardiovascular disease (CVD). The relationship between sleep quality and CVD risk has not been previously investigated among Hong Kong female nurses.

OBJECTIVE

The authors of this study explored the association between sleep quality and CVD risk among Hong Kong female nurses.

METHODS

Data were collected from the Hong Kong Women's Health Study cross-sectional survey between 2019 and 2020. Questionnaires were sent to female nurses (≥aged 30 years). Ten-year CVD risk was measured using the Framingham 10-year risk score, and the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. Relationships were evaluated using adjusted multiple linear regression and binary logistic regression.

RESULTS

In 1344 respondents, the mean age was 46.12 ± 10.47 years, average PSQI score was 6.02 (3.35), and 52.4% reported poor sleeping quality (global PSQI score > 5). The mean 10-year CVD risk was 3.6% (3.3%). The 10-year CVD risk was significantly associated with sleep disturbance (β = 0.006) and daytime dysfunction (β = -0.002) (both Ps < .01). Participants who reported sleep disturbance had a higher CVD risk (odds ratio, 1.82; 95% confidence interval, 1.04-3.18). High daytime dysfunction decreased CVD risk (odds ratio, 0.63; 95% confidence interval, 0.46-0.85). Subgroup analysis showed stronger associations between sleep quality and Framingham 10-year risk score among those unemployed, undergoing postmenopause, or with a family history of CVDs.

CONCLUSIONS

Sleep disturbance and daytime dysfunction were associated with the 10-year CVD risk among Hong Kong female nurses. Nurses who were unemployed, were undergoing postmenopause, or with a family history of CVD were those with the highest risk.

Associations of impaired glucose tolerance and sleep disorders with mortality among the US general population

INTRODUCTION

Sleep disorders and short sleep duration are common symptoms among people with diabetes. However, the evidence is limited about the associations of post-challenge hyperglycemia and sleep quality or quantity with all-cause mortality in the US general population.

RESEARCH DESIGN AND METHODS

Our study included 8795 adults from the National Health and Nutrition Examination Survey 2005-2014. Mortality data were ascertained through 2015. Multivariable Cox proportional-hazards models were used to estimate adjusted HRs (aHRs) for all-cause mortality according to 2-hour plasma glucose levels during the 75 g oral glucose tolerance test-normal glucose tolerance (NGT), <140 mg/dL; impaired glucose tolerance (IGT), 140-199 mg/dL; and diabetes, ≥200 mg/dL. We then examined the associations of glucose tolerance status and self-reported physician-diagnosed sleep disorders (yes vs no) or sleep duration (<7 vs ≥7 hours) with all-cause mortality.

RESULTS

During follow-up (median, 5.6 years), the diabetes group had a higher risk of all-cause mortality compared with the NGT group (aHR (95% CI)=1.93 (1.41 to 2.64)), but not the IGT group (aHR (95% CI)=1.19 (0.90 to 1.59)). When we categorized participants according to glucose tolerance status and sleep disorders, the IGT group with sleep disorders had a higher risk of all-cause mortality (aHR (95% CI)=2.03 (1.24 to 3.34)) compared with the NGT group without sleep disorders. Both diabetes groups with and without sleep disorders also showed high mortality risks. The results were consistent when we used sleep duration instead of sleep disorders.

CONCLUSIONS

Using the most updated US national data, we found a high risk of all-cause mortality among individuals with IGT having sleep disorders or short sleep duration as well as those with diabetes. Future investigations are needed to identify whether and what kind of sleep management is beneficial for people with impaired glucose metabolism to prevent early death.

Is there any relation between arterial stiffness and insomnia? A challenging question

PURPOSE

Insomnia is a common sleep disorder which has high comorbidity with a number of cardiovascular diseases (CVD). As a possible risk factor for the CVDs, arterial stiffness may be assessed non-invasively by pulse wave velocity (PWV) and augmentation index (AI). The aim of this study was to evaluate any relation between insomnia and arterial stiffness.

METHODS

Patients with insomnia were included in the study after the exclusion of other sleep disorders by polysomnography. Sleep quality and the degree of insomnia symptoms were evaluated by the Pittsburgh sleep quality index (PSQI) and insomnia severity index (ISI), respectively. PWV and AI were assessed by Mobil-O-Graph arteriograph system.

RESULTS

Consecutive patients with insomnia (n = 72, 56 women, mean age 55.8 ± 9.1 years) were included. Patients were grouped as those with severe ISI scores (22-28) and those with mild to moderate ISI scores (8-21). Despite no significant difference in characteristics and clinical data, patients with severe ISI scores had significantly higher total PSQI scores and NREM-2 with significantly lower REM duration. They also had significantly higher systolic blood pressure, mean blood pressure, pulse pressure, PWV, and AI compared to patients with mild and moderate ISI scores. Correlation analysis revealed that PWV and AI were significantly correlated with the ISI score and PSQI score.

CONCLUSION

There is a close relation between arterial stiffness and insomnia suggesting a risk for CVD in patients with insomnia.

Which Is More Important for Health: Sleep Quantity or Sleep Quality?

Sleep is one of the basic physiological processes for human survival. Both sleep quantity and sleep quality are fundamental components of sleep. This review looks at both sleep quantity and sleep quality, considering how to manage the complex but probably unavoidable physiological phenomenon of sleep. The need for sleep has marked variations between individuals, in addition to the effects of variable conditions. Studies on sleep quality started later than those on sleep quantity, beginning in 1989 when Ford and Kamerow revealed that insomnia increases the risk of psychiatric disorders. According to the nationwide research team on the quality of sleep (19FA0901), sleep quality is superior to sleep quantity as an index for assessing sleep, and that restfulness obtained through sleep is a useful index for assessing sleep quality. We should pay more attention to obtaining sleep of good quality (restfulness, no sleepiness, no need for more sleep, sufficient objective sleep depth, etc.), although there have not been enough studies on the associations between sleep quality and health or disorders in children and adolescents. Further studies using the deviation from an individual’s optimal sleep quantity may show us another aspect of the effects of sleep quantity on various life issues.

Sleep Disturbance, Sleep Disorders and Co-Morbidities in the Care of the Older Person

Sleep complaints can be both common and complex in the older patient. Their consideration is an important aspect of holistic care, and may have an impact on quality of life, mortality, falls and disease risk. Sleep assessment should form part of the comprehensive geriatric assessment. If sleep disturbance is brought to light, consideration of sleep disorders, co-morbidity and medication management should form part of a multifaceted approach. Appreciation of the bi-directional relationship and complex interplay between co-morbidity and sleep in older patients is an important element of patient care. This article provides a brief overview of sleep disturbance and sleep disorders in older patients, in addition to their association with specific co-morbidities including depression, heart failure, respiratory disorders, gastro-oesophageal reflux disease, nocturia, pain, Parkinson's disease, dementia, polypharmacy and falls. A potential systematic multidomain approach to assessment and management is outlined, with an emphasis on non-pharmacological treatment where possible.

The Associations of Trajectory of Sleep Duration and Inflammation with Hypertension: A Longitudinal Study in China

BACKGROUND

Existing evidence suggested that sleep duration may be involved in hypertension; however, the conclusions were still controversial. This study aimed to examine the association of longitudinal trajectory of sleep duration with hypertension and to explore the role of the inflammation in such associations.

METHODS

A total of 3178 subjects over 30 years of age without hypertension were enrolled in 2004, and they were followed until 2009. Self-reported sleep duration was recorded, and inflammation was measured by highly sensitive C reactive protein (hs-CRP). Log-binomial regression models were applied to examine the association of sleep duration trajectory and inflammation with the risk of hypertension. The mediating effect of elevated hs-CRP was examined by the bootstrap and the process software.

RESULTS

The prevalence of persistent short (≤7 hours/day), normal (8-9 hours/day), and long (>9 hours/day) sleep duration over 5 years were 9.1%, 37.7%, and 2.3%, respectively. The incidence of hypertension was 26.6% during the follow-up period. Compared with those who persistently slept 8-9 hours/day from baseline to follow-up, those who persistently slept ≤7 hours/day, persistently slept ≥10 hours/day, and those whose sleep duration changed have higher risks of hypertension by 1.375-fold (95% CI: 1.121, 1.686), 1.557-fold (95% CI: 1.171, 2.069) and 1.299-fold (95% CI: 1.135, 1.487), respectively. In addition, persistently slept ≤7 hours/day was found to be associated with higher risk of inflammation (RR: 1.285, 95% CI: 1.008, 1.638). The mediation analysis did not find significant mediating effect of elevated CRP on the association between sleep duration trajectory and hypertension.

CONCLUSION

Experiencing both a short or long sleep duration, especially for a long time, could lead to higher risk of hypertension. Persistent exposure to short sleep duration was also associated with inflammation. However, the higher risk of hypertension caused by persistent short sleep duration does not seem to be directly mediated through inflammation.

Insomnia and the risk of hypertension: A meta-analysis of prospective cohort studies

The relationship between insomnia and hypertension remains inconclusive. Thus, we conducted a meta-analysis of prospective cohort studies to evaluate the association between insomnia and the risk of hypertension. Relevant prospective cohort studies were searched from PubMed, Embase, and Web of Science from their inception to October 2019. A random-effects model was used to calculate the pooled relative risk (RR) with 95% confidence interval (CI). A total of fourteen prospective cohort studies involving 395,641 participants were included in this study. The pooled RR of insomnia on hypertension was 1.21 (95%CI: 1.10-1.33). An increased risk of hypertension was observed in participants with difficulty maintaining sleep (RR = 1.27; 95%CI: 1.04-1.55) and early morning awakening (RR = 1.14; 95%CI: 1.08-1.20), but was not statistically significant in participants with difficulty falling asleep (RR = 1.14; 95%CI: 0.95-1.37). In addition, the results were statistically significant in the European population (RR = 1.08, 95%CI: 1.02-1.14), but not significant in Asian and American populations (RR = 1.54, 95%CI: 0.98-2.40; RR = 1.21, 95%CI: 0.89-1.65). The study findings indicate that insomnia is associated with a significantly increased risk of hypertension. This may have substantial implications for the prevention of hypertension in individuals with insomnia symptoms.

Racial/ethnic disparity in habitual sleep is modified by caloric intake in adolescents

STUDY OBJECTIVES

We investigated the moderation of caloric intake on the association between race/ethnicity and habitual sleep in adolescents.

METHODS

We analyzed the data obtained from 324 adolescents who completed the follow-up examination of the Penn State Child Cohort study. We collected actigraphy-measured sleep duration on 7 consecutive nights and computed their mean and standard deviation as habitual sleep duration (HSD) and habitual sleep variability (HSV), respectively. We also measured participants' daily intakes of total calorie, total fat, carbohydrates, and protein, through the Youth/Adolescent Food Frequency Questionnaire. Adjusted mean HSD and HSV among non-Hispanic whites and racial/ethnic minorities were compared by using analysis of covariance (ANCOVA), while controlling for age, sex, BMI percentile, total caloric intake, and socioeconomic status. The significance of the interaction between race/ethnicity and caloric intake was further tested in ANCOVA models.

RESULTS

The study sample consisted of 79.3% non-Hispanic whites, 13.0% African American, 4.6% Hispanics, 2.2% Asian, and 0.9% American Indian. Adolescents who are racial/ethnic minorities showed shorter HSD (mean (SE): 6.80 (0.10) vs. 7.07 (0.05) hours/night, p = 0.02) and higher HSV (mean (SE): 1.31 (0.07) vs. 1.15 (0.04) hours/night, p = 0.04) than non-Hispanic whites. Racial/ethnic differences in HSV were significantly more pronounced among adolescents with high caloric intake (p interaction = 0.01), especially from carbohydrates (p interaction = 0.03) and fat (p interaction = 0.05).

CONCLUSION

Adolescents who are racial/ethnic minorities slept objectively shorter and with greater night-to-night variability than non-Hispanic whites. The racial/ethnic disparity in habitual sleep variability was more pronounced among adolescents with high caloric intake, particularly from carbohydrates and fat.

Treating sleep disorders to improve blood pressure control and cardiovascular prevention: a dream come true?-a narrative review

Hypertension is one of the primary risk factors for heart disease and stroke, the leading causes of death worldwide. Current evidence supports the treatment of high blood pressure (BP) values in order to obtain a substantial reduction of cardiovascular burden. Sleep plays an important role in maintaining nocturnal BP control and nocturnal hypertension which, in turn, can be affected by the presence of sleep disorders. Whilst respiratory disturbances have been extensively studied and their causal role in the development of nocturnal hypertension has been demonstrated in both cross sectional and prospective studies, less is known about the impact of other sleep disorders such as insomnia. In this review, we aim to describe the role of sleep disorders in the development of nocturnal and diurnal hypertension. Furthermore, we aim to discuss the potential impact of the treatment of such sleep disorders on BP values as an adjunct treatment for patients with hypertension.

Increased Resilience Weakens the Relationship between Perceived Stress and Anxiety on Sleep Quality: A Moderated Mediation Analysis of Higher Education Students from 7 Countries

High levels of perceived stress and anxiety among university students are a global concern and are known to negatively influence sleep. However, few studies have explored how stress response styles, like psychological resilience and rumination, might alter these relationships. Using validated tools, perceived stress, anxiety, stress response styles, and sleep behaviors of undergraduate and graduate students from seven countries during the height of the COVID-19 pandemic were characterized in order to examine the relationships between these factors using mediation and moderation analyses. Students enrolled in universities in China, Ireland, Malaysia, Taiwan, South Korea, the Netherlands, and the United States were recruited in May 2020. A total of 2254 students completed this cross-sectional study. Perceived stress and anxiety were negatively associated with sleep quality through the mediation of rumination. Increased psychological resilience weakened the relationships between perceived stress and anxiety on sleep quality. The majority of students reported that COVID-19 negatively influenced their mental health and sleep quality but not sleep duration. Based on these results, university students would likely benefit from sleep education and mental health promotion programs that include trainings to increase psychological resilience and reduce rumination, particularly during times of increased stress.

Changes in effort-reward imbalance at work and risk of onset of sleep disturbances in a population-based cohort of workers in Denmark

Objective/background

Associations between exposure to effort-reward imbalance at work (eg, high time pressure/low appreciation) and risk of sleep disturbances have been reported, but the direction of the effect is unclear. The present study investigated changes in effort-reward imbalance and risk of concomitant and subsequent onset of sleep disturbances.

Methods

Participants with sleep disturbances at baseline were excluded. We included participants from a population-based cohort in Denmark (n = 8,464, 53.6% women, mean age = 46.6 years), with three repeated measurements (2012 (T₀); 2014 (T₁); 2016 (T₂)). Changes in effort-reward imbalance (T₀-T₁) were categorized into 'increase', 'decrease' and 'no change'. Self-reported sleep disturbances (difficulties initiating or maintaining sleep, non-restorative sleep, daytime tiredness) were dichotomized (presence versus absence). We regressed concomitant (T₁) and subsequent (T₂) sleep disturbances on changes in effort-reward imbalance (T₀-T₁) and calculated odds ratios (OR) and 95% confidence intervals, adjusted for sex, age, education and cohabitation.

Results

At follow-up, 8.4% (T₁) and 12.5% (T₂) reported onset of sleep disturbances. Increased effort-reward imbalance was associated with concomitant sleep disturbances (T₁) (OR = 3.16, 2.56-3.81), whereas decreased effort-reward imbalance was not (OR = 1.22, 0.91-1.63). There was no association between increased effort-reward imbalance and subsequent sleep disturbances (T₂) (OR = 1.00, 0.74-1.37). Results were similar for men and women.

Conclusions

Increased effort-reward imbalance was associated with a three-fold higher risk of concomitant onset of sleep disturbances at two-year follow-up, but not subsequent onset of sleep disturbances at four-year follow-up, indicating that changes in effort-reward imbalance have immediate rather than delayed effects on sleep impairment. It is possible that the results from the two-year follow-up were to some extent affected by reverse causality.

Independent and combined associations of sleep duration and sleep quality with common physical and mental disorders: Results from a multi-ethnic population-based study

Sleep duration and sleep quality are often linked to increased risk of mortality and morbidity. However, national representative data on both sleep duration and sleep quality and their relationship with chronic health problems are rarely available from the same source. This current study aimed to examine the independent and combined associations of sleep duration and sleep quality with physical and mental disorders, using data from the Singapore Mental Health Study 2016. 6,126 residents aged ≥18years participated in this epidemiological, cross-sectional survey. Sleep measures were assessed using the Pittsburg Sleep Quality Index while lifetime or 12-month medical and psychiatric diagnoses were established using the Composite International Diagnostic Interview 3.0. Both short sleep (<6hrs compared to 7-8hrs) and poor sleep were found to be independently associated with chronic pain, obsessive compulsive disorder and any mental disorder while poor sleep was additionally associated with major depressive disorder, bipolar disorder, generalized anxiety disorder and any physical disorder, when adjusted for confounders. Poor sleep combined with short sleep (≤6hrs/day vs 7-8hrs/day) was associated with the highest number of comorbidities among other sleep combinations. Sleep duration and sleep quality, when adjusted for each other, remained independently associated with both physical and mental disorders. Affective disorders may be more closely related to poor sleep quality compared to abnormal sleep duration. Our findings suggest sleep quality to be a more important indicator for psychological and overall health compared to sleep duration.

Interactive Impact of Sleep Duration and Sleep Quality on the Risk of Developing Metabolic Syndrome in Korean Adults

Sleep quality is important for the normal functioning of hormonal and metabolic processes in the body; however, few studies have considered the effects of both sleep duration and sleep quality on predicting metabolic syndrome risk. We examined the interactive impact of sleep duration and sleep quality on the risk of developing metabolic syndrome using logistic regression analysis with a threshold based on hours of sleep. Data were collected from 411 adults in South Korea and, according to the estimated threshold of 6 h of sleep (95% Confidence Interval, CI = 5–7 h), participants were classified as short (<6 h) or adequate-long (≥6 h) sleepers. The two groups differed significantly on various health measures. While short sleepers were more likely than adequate-long sleepers to experience adverse health conditions, which increased their risk of developing metabolic syndrome, they were not influenced by sleep quality. For adequate-long sleepers, however, a decrease in sleep quality was associated with an increased risk of developing metabolic syndrome (odds ratio = 1.24, 95% CI = 1.07–1.43). Our results suggest that both sleep duration and sleep quality are crucial determinants of the development of metabolic syndrome and that it is important to maintain at least 6 h of sleep.