Obesity and sleep disturbances: The "chicken or the egg" question

Obesity and sleep disorders: A bidirectional relationship

AIMS

Obesity and sleep disorders are highly prevalent conditions with profound implications for public health. Emerging evidence highlights a bidirectional relationship between these two conditions, with each exacerbating the other in a complex interplay of behavioral, physiological, and hormonal mechanisms. Sleep deprivation and poor sleep quality contribute to energy imbalance through dysregulation of appetite hormones (e.g., leptin and ghrelin), increased caloric intake, and reduced physical activity. Conversely, sleep disorders such as obstructive sleep apnea syndrome (OSAS), insomnia, and restless leg syndrome (RLS) are significantly more common in individuals with obesity.

DATA SYNTHESIS

This review explores the pathophysiological mechanisms underlying this relationship, including the roles of inflammation, autonomic dysregulation, and neuroendocrine pathways. Sleep loss exacerbates metabolic syndrome components, including insulin resistance and dyslipidemia, further perpetuating weight gain. Similarly, obesity-induced sleep disorders lead to pro-inflammatory states, vascular dysfunction, and sympathetic overactivation, compounding cardiometabolic risks. Specific conditions like OSA and RLS are examined as models of this interdependence, emphasizing their shared pathways and clinical implications.

CONCLUSIONS

The bidirectional link between obesity and sleep disorders underscores the importance of integrating sleep assessment and management into obesity treatment strategies. Addressing this relationship could mitigate the progression of cardiometabolic comorbidities and improve overall health outcomes. Moreover, the intertwined dynamics between obesity, sleep disorders, and mental health-mediated by inflammatory pathways, hormonal dysregulation, and neurobehavioral factors-highlight the critical need for integrated treatment approaches targeting physical, psychological, and sleep-related dimensions to enhance health and quality of life.

The mediating role of BMI in the relationship between OSAHS and bone metabolism in male patients with T2DM

OBJECTIVE

This study aims to investigate the potential association between obstructive sleep apnea hypopnea syndrome (OSAHS) and bone metabolism in male patients with type 2 diabetes mellitus (T2DM), and to further analyze the mediating role of body mass index (BMI) in this relationship. By elucidating the interaction mechanisms between OSAHS and bone metabolism, this study seeks to provide a scientific basis for early screening and intervention of bone metabolism abnormalities in male T2DM patients, thereby improving their clinical outcomes.

METHODS

This study analyzed 418 male T2DM inpatients from the Department of Endocrine and Metabolic Diseases at the First People's Hospital of Changzhou between May 2020 and May 2024. Patients were categorized into the pure T2DM group and the T2DM with OSAHS group based on their apnea-hypopnea index (AHI). Linear correlation and multiple linear regression analyses were employed to evaluate the relationships among OSAHS, BMI, and bone metabolism indicators. Finally, mediation analysis was conducted to assess the mediating effect of BMI.

RESULTS

Among OSAHS indicators, nocturnal lowest oxygen saturation (LSaO2) correlated with total N-terminal propeptide of type I collagen (TP1NP). A 1-SD increase in LSaO2 was associated with a 2.532 ng/ml increase in TP1NP (95% CI: 0.232 ~ 4.832, P < 0.05). While BMI was positively correlated with bone mineral density (BMD), no correlation was found between BMI and bone turnover markers (BTMs). The oxygen desaturation index (ODI) and proportion of cumulative sleep time with oxygen saturation below 90% in total sleep time (T90) was initially correlated with BMD at the different sites, but the association was nullified after adjusting for BMI. Mediation analysis showed that BMI fully mediated the relationship between ODI T90 and BMD, with no influence on the association between LSaO2 and BTMs.

CONCLUSION

OSAHS-induced hypoxia may inhibit osteoblastic activity, which warrants further investigation. Additionally, while BMI fully mediates the relationship between ODI and BMD, further studies are needed to exclude the potential influence of BMI on BMD measurements.

Sex and age differences in sleep disorders: insights from a diverse cohort referred to a sleep center

Sleep health is influenced by sex, gender, and age, with various sleep disorders exhibiting different prevalence rates and clinical presentations among different demographic groups. This retrospective study investigated sex and age differences in a diverse cohort of patients referred to an Italian sleep center for comprehensive sleep evaluations over a four-year period. Medical records of 909 consecutive patients who underwent overnight video-polysomnography between January 2014 and December 2017 were reviewed. Socio-demographic, anthropometric, clinical, and sleep-related data were extracted and compared between male and female patients across different age groups. Our analyses revealed disparities in the access to sleep evaluations, socio-demographic characteristics and lifestyle habits between males and females across age groups. Comorbidities varied, with cardiovascular diseases more prevalent in males, while thyroid disorders, rheumatologic conditions, and psychiatric disorders more common in females. Female patients also reported higher rates of psychotropic medications use at admission. Males had higher rates of obstructive sleep apnea, while females, particularly in middle and older age groups, exhibited more insomnia disorder and restless legs syndrome. Notably, the co-occurrence of multiple sleep disorders was observed, particularly among older individuals and female patients. Our findings emphasize the importance of considering sex and age differences in diagnosing and managing sleep disorders. Tailored approaches are necessary to optimize sleep health and overall well-being, particularly in aging populations, where sleep disturbances often coexist with other chronic conditions. Further research is warranted to elucidate the complex interplay between sex, gender, and age to promote sleep equity and improve patient care.

Comparison of Effects of Glucagon-Like Peptide-1 Receptor Agonists Compared to Long-Acting Insulin, Added to Oral Anti-Diabetic Agents on Self-Management Behaviors, Anxiety, and Sleep Quality in Patients with Type 2 Diabetes

AIM

This study aimed to investigate the impact of glucagon-like peptide-1 receptor agonists (GLP-1RAs) on individuals with type 2 diabetes (T2DM) by comparing self-management behaviors, anxiety, and sleep quality in T2DM patients.

METHODS

This is a single-center prospective study. During the patients' hospitalization, we collected their clinical data, and three months after discharge, we conducted follow-up by phone to record weight changes, blood glucose levels, self-management behaviors, anxiety levels, and sleep quality.

RESULTS

A total of 271 patients were included in this study. Among them, 177 (65.31%) were classified into the oral drug combined with long-acting insulin group, and 94 (34.69%) were classified into the oral drug combined with GLP-1RAs group. No statistically significant differences were found between the two groups in age, duration of diabetes, comorbidities, complications, or types of oral medications (P> 0.05). However, significant differences were observed between the groups in postprandial blood glucose, glycated hemoglobin, dietary control, medication adherence, actual anxiety, and sleep time (P<0.05). Notably, the oral medication combined with GLP-1RAs group demonstrated improved dietary control, medication adherence, anxiety and actual sleep time compared to the oral medication combined with long-acting insulin group.

CONCLUSION

In this 3-month study, there were statistically significant differences in HbA1c, post-prandial glucose, weight, for self-management behaviors, for dietary control, medication adherence, anxiety, and actual sleep time in T2DM patients. The findings suggest that GLP-1 RA may contribute to the improvement of dietary behaviors, medication adherence, anxiety, and sleep quality in addition to weight and glycemic control in T2DM patients.

Associations of fat, bone, and muscle indices with disease severity in patients with obstructive sleep apnea hypopnea syndrome

PURPOSE

To investigate the relationship between obstructive sleep apnea hypopnea syndrome (OSAHS) severity and fat, bone, and muscle indices.

METHODS

This study included 102 patients with OSAHS and retrospectively reviewed their physical examination data. All patients underwent polysomnography, body composition analysis, dual-energy X-ray absorptiometry, computed tomography (CT) and blood test. Correlation and multiple linear regression analyses were performed using SPSS 22.0.

RESULTS

Among the fat indices, fat mass (FM) (r = 0.27-0.43), body fat percentage (BFP) (r = 0. 25-0.35), visceral fat area (VFA) (r = 0.28-0.40) and trunk fat mass (TFM) (r = 0.26-0.34) were positively correlated with hypopnea index (HI), apnea-hypopnea index (AHI), oxygen desaturation index (ODI), and percent of time spent with oxygen saturation below 90% (T90%), respectively, and negatively correlated with mean pulse oxygen saturation (SpO2) (r= -0.28--0.41). For bone indexes, T8, T9, T11, L1-CT value, mean vertebral CT value and 25-Hydroxyvitamin D3 were positively correlated with mean SpO2 (r = 0.23-0.32), respectively. For muscle indexes, pectoralis muscle density (PMD) was negatively correlated with HI, AHI, and ODI (r= -0.20--0.36) and positively correlated with mean SpO2 (r = 0.26). In separate models predicting sleep measures, AHI increased by 0.36, 0.29, 0.34 and 0.25 events/h per unit increase in FM, BFP, VFA, and triglyceride (TG), respectively. AHI decreased by 0.27 per unit increase in PMD. T90% increased with FM, BFP, VFA, WHR, TG and total cholesterol (TC), but decreased with appendicular skeletal muscle mass (ASM) and PMD respectively.

CONCLUSION

Higher fat levels and lower vertebral CT values, muscle mass and density correlated with a higher degree of OSAHS severity. Intermittent hypoxia may affect fat, bone, and muscle metabolism in patients with OSAHS.

Physical activity, body weight, and liver function as factors increasing Insomnia index among Korean adults: a cross-sectional analysis

BACKGROUND

This study aimed to elucidate the relationship between physical activity, body weight, liver function, and insomnia in Korean adults, thereby providing a foundation for health promotion strategies.

METHODS

We recruited 11,645 adults (8,051 males and 3,594 females). Participants underwent assessments using the Korean version of the Insomnia Severity Index, measures of physical activity (PA), anthropometric data (body weight, height, body mass index [BMI], and waist circumference [WC]), and liver function (alanine aminotransferase, aspartate aminotransferase [AST], and gamma-glutamyl transferase).

RESULTS

One-way ANOVA revealed significant differences among male groups in height (p < .001), weight (p = .036), BMI (p = .002), diastolic blood pressure (p = .008), AST (p = .036), recreational PA (p = .026), moderate PA (p < .01), vigorous PA (p < .01), and moderate-to-vigorous PA (p < .001). Similarly, significant differences were found among female groups in height (p < .001), weight (p = .001), BMI (p = .006), WC (p = .013), moderate PA (p < .001), vigorous PA (p < .001), and moderate-to-vigorous PA (p < .001).

CONCLUSION

To prevent insomnia, it is essential to enhance physical activity and manage factors related to body weight and liver function, such as BMI, WC, and AST. Increasing moderate-to-vigorous physical activity is particularly crucial, as it has a substantial positive impact on reducing body weight and improving liver function.

Assessing the level of device-measured physical activity according to insomnia symptoms in 1,354 individuals with diabetes: the HUNT Study, Norway

Background

Insomnia symptoms that influence daytime functioning are common among adults with type 2 diabetes. However, no previous study has examined if levels of physical activity differ among adults with diabetes with and without insomnia symptoms. Thus, the aim of this study was to assess the difference in total physical activity (TPA) and moderate-to-vigorous physical activity (MVPA) levels in individuals with diabetes with and without insomnia symptoms.

Methods

This cross-sectional study included 1,354 participants with any type of diabetes who participated in the Norwegian HUNT4 Study, 2017-19. Participants were defined to have 'insomnia symptoms' if they reported difficulty initiating and/or maintaining sleep ≥ 3 nights/week during the last 3 months. MVPA (defined as moderate/brisk walking [> 4.0 km/h], running, and cycling), and TPA (MVPA including slow walking [≤ 4.0 km/h]) were determined from two accelerometers worn on the thigh and lower back. Analyses were stratified by age and sex.

Results

The median age was 67 years and 491 (36%) had insomnia symptoms and 37 (3%) had insomnia disorder. Among women, 28% with one or more insomnia symptoms fulfilled the recommended minimum level of physical activity, as compared to 34% in women without insomnia symptoms. The corresponding proportions in men were 48% and 45%. Women above 65 years with insomnia symptoms performed less TPA (-73 min/week, 95% CI -122 to -24) and MVPA (-33 min/week, 95% CI -50 to -15), compared to women without insomnia symptoms in the same age group. There was no clear difference in physical activity levels according to insomnia symptoms in men or women below 65 years. Women and men with insomnia disorder had substantially lower TPA (women: -192 min/week, 95% CI -278 to -106; men: -276 min/week, 95% CI -369 to -193) and MVPA (women: -37 min/week, 95% CI -63 to -11; men: -67 min/week, 95% CI -83 to -50) than those without insomnia symptoms.

Conclusions

This study showed that women above 65 years with insomnia symptoms and individuals with insomnia disorder performed less physical activity, suggesting that these subgroups may suffer from additional challenges that prevent them from engaging in regular physical activity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s44167-024-00066-4.

Association between diverse obesity indicators and sleep quality in elderly Chinese people: a National Study

Background

The association between obesity indicators and sleep quality remains unclear among elderly Chinese people. Therefore, we aimed to assess this association by utilizing data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

Methods

A total of 10,505 participants aged 65 and above from the 2018 CLHLS were included. Calculate body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and weight-adjusted-waist index (WWI) based on measured weight, height, and waist circumference. Based on BMI values, individuals were classified as underweight (<18.5 kg/m2), normal weight (18.5-23.9 kg/m2) and overweight or obesity (BMI ≥24 kg/m2). In the survey, sleep quality was rated in a 5-point format ("1 = very good," "2 = good," "3 = fair," "4 = poor," or "5 = very poor"), and we categorized "1" and "2" as good sleep quality and "3," "4," and "5" as poor sleep quality. Logistic regression models were used to evaluate odds ratios (ORs) and 95% confidence intervals (CIs), with subgroup analysis and restricted-cubic-spline (RCS) conducted.

Results

The prevalence of poor sleep quality was 47.06%. There are significant differences in obesity indicators and other factors between the two groups of people with good sleep and poor sleep. After adjusting for potential confounding factors (including demographics, socioeconomic status, lifestyle behaviors, health-related issues and activities of daily living), our analyses revealed significant negative associations of BMI [OR 0.96 (95% CI 0.95-0.98)], WC [OR 0.99 (95% CI 0.98-0.99)] and WHtR [OR 0.18 (95% CI 0.09-0.35)] with poor sleep quality. RCS regression also showed that BMI, WC, WHtR and WWI were all strongly negatively correlated with poor sleep quality.

Conclusions

In elderly Chinese people, overweight/obese elderly people may have a better sleep quality compared to elderly people with normal weight, while underweight elderly people are unfavorable for sleep quality.

Negative health outcomes in long sleepers: The societal sleep restriction hypothesis

Society imposes work and school schedules, as well as social expectations, that militate against consistently obtaining more than 7-9 h of sleep every 24 h. For most but not all adults this sleep duration is adequate. But among those who consistently obtain more than 9 h of sleep per day ("long sleepers"), there likely exists a subpopulation of individuals who are nevertheless failing to obtain enough sleep to satisfy their physiological sleep needs - a consequence of "restricting" their daily sleep durations to whatever extent they can tolerate so as to conform as closely as possible to society's norms and expectations. It is hypothesized that the 'long sleep arm' of the seemingly paradoxical U-shaped relationship between sleep duration and negative health outcomes can be explained, at least in part, by the existence of a subpopulation of such 'sleep-restricted long sleepers.'

Insomnia, Short Sleep, and Their Treatments: Review of Their Associations with Weight

PURPOSE OF REVIEW

Insomnia and short sleep have been linked with weight gain and obesity. However, these findings have not been consistent across studies. We review recent evidence for the association between insomnia, short sleep, and weight gain, as well as the relationship between behavioral and pharmacological treatments for sleep and weight.

RECENT FINDINGS

The relationship between insomnia and obesity is mixed, with stronger associations between insomnia with short sleep and obesity than other presentations of insomnia. Short sleep is associated with weight gain. Z-drugs and benzodiazapines do not appear to impact weight, but many antidepressants and antipsychotics that are used for insomnia treatment do cause weight gain. The relationships between insomnia and short sleep with weight gain and obesity are inconsistent. More prospective trials are needed to identify mediators and moderators of this relationship to better develop and deliver effective interventions for both sleep and weight problems.

Reoxygenation Mitigates Intermittent Hypoxia-Induced Systemic Inflammation and Gut Microbiota Dysbiosis in High-Fat Diet-Induced Obese Rats

Background

Obstructive sleep apnea (OSA) is a prevalent sleep breathing disorder characterized by intermittent hypoxia (IH), with continuous positive airway pressure (CPAP) as its standard treatment. However, the effects of intermittent hypoxia/reoxygenation (IH/R) on weight regulation in obesity and its underlying mechanism remain unclear. Gut microbiota has gained attention for its strong association with various diseases. This study aims to explore the combined influence of IH and obesity on gut microbiota and to investigate the impact of reoxygenation on IH-induced alterations.

Methods

Diet-induced obese (DIO) rats were created by 8-week high-fat diet (HFD) feeding and randomly assigned into three groups (n=15 per group): normoxia (NM), IH (6% O2, 30 cycles/h, 8 h/day, 4 weeks), or hypoxia/reoxygenation (HR, 2-week IH followed by 2-week reoxygenation) management. After modeling and exposure, body weight and biochemical indicators were measured, and fecal samples were collected for 16S rRNA sequencing.

Results

DIO rats in the IH group showed increased weight gain (p=0.0016) and elevated systemic inflammation, including IL-6 (p=0.0070) and leptin (p=0.0004). Moreover, IH rats exhibited greater microbial diversity (p<0.0167), and significant alterations in the microbial structure (p=0.014), notably the order Clostridiales, accompanied by an upregulation of bile acid metabolism predicted pathway (p=0.0043). Reoxygenation not only improved IH-exacerbated obesity, systemic inflammation, leptin resistance, and sympathetic activation, but also showed the potential to restore IH-induced microbial alterations. Elevated leptin levels were associated with Ruminococcaceae (p=0.0008) and Clostridiales (p=0.0019), while body weight was linked to Blautia producta (p=0.0377). Additionally, the abundance of Lactobacillus was negatively correlated with leptin levels (p=0.0006) and weight (p=0.0339).

Conclusion

IH leads to gut dysbiosis and metabolic disorders, while reoxygenation therapy demonstrates a potentially protective effect by restoring gut homeostasis and mitigating inflammation. It highlights the potential benefits of CPAP in reducing metabolic risk among obese patients with OSA.

Exploring the impact of OSA on short-term survival in patients with AECOPD admitted to the ICU

BACKGROUND

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is characterized by a sudden worsening of chronic obstructive pulmonary disease (COPD) symptoms, which significantly contributes to hospitalizations related to COPD symptoms. Previous research has mainly focused on the correlation between obstructive sleep apnea (OSA) and COPD. However, there were few studies that investigated the short-term mortality rate of AECOPD patients with or without OSA.

METHODS

Data for our research was taken from the Medical Information Mart for Intensive Care Database IV. A total of 1332 patients were included in the study based on well-defined criteria for selection and exclusion. By analyzing the characteristics of AECOPD patients, we compared those with and without OSA.

RESULTS

There were 1122 AECOPD patients without OSA, 210 patients with OSA. In comparison to those without OSA, patients with OSA exhibited lower 30-day and 90-day ICU mortality with unadjusted HR, as well as lower hospital mortality with unadjusted OR. However, after adjustments were made, there were no significant associations observed between OSA and short-term mortality, including 30-day ICU mortality, 90-day ICU mortality, ICU mortality, and hospital mortality in AECOPD patients. Subgroup analysis revealed that OSA may act as a risk factor for AECOPD patients with a BMI lower than 30 kg/m2.

CONCLUSIONS

There is no impact on short-term survival in AECOPD patients with OSA under intensive care unit (ICU) management and nursing.

Body weight change during a smoking cessation intervention for individuals with overweight or obesity

INTRODUCTION

A more comprehensive understanding of the factors regarding weight control in individuals with overweight or obesity after quitting smoking is needed. The study aimed to analyze the changes of in-treatment variables during a smoking cessation intervention and examine their impact on weight.

METHODS

A total of 120 individuals who smoke with overweight or obesity (MBMI = 31.75 ± 4.31; 54.16 % female) participated in a cognitive-behavioral therapy for smoking cessation and weight control or the same treatment plus contingency management. Weight, smoking variables (cotinine and continuous abstinence), eating behaviors (appetite, grazing), exercise, and sleep were assessed weekly throughout the treatment.

RESULTS

More participants gained weight over time with reduced nicotine use or abstinence. There was a tendency during treatment to increase appetite and exercise time, while grazing episodes and sleeping hours remained stable. Higher baseline weight (p < .001), greater cotinine reduction (p = .021) and time (p = .009) were associated with greater weight gain, while more hours of exercise (p = .003), no appetite changes (p = .003) and diminished appetite (p < .001) were associated with less gain over the treatment. Both treatment conditions showed similar results in all in-treatment variables.

DISCUSSION

Individuals with overweight and obesity with higher baseline weight and higher baseline cotinine levels during smoking cessation interventions may require special attention to improve weight outcomes. Exercise and appetite regulation may be useful for mitigating weight gain in smoking cessation interventions for individuals with overweight or obesity.

Self-reported and tracked nighttime smartphone use and their association with overweight and cardiometabolic risk markers

Nighttime smartphone use is associated with sleep problems, which in turn have a bidirectional association with overweight. We aim to investigate whether nighttime smartphone use and sleep are related to overweight and metabolic dysfunction in adult populations. We used data from three population samples (aged 16-89) from the SmartSleep Study, which included survey data (N = 29,838), high-resolution tracking data (N = 3446), follow-up data (N = 1768), and cardiometabolic risk markers (N = 242). Frequent self-reported nighttime smartphone use was associated with 51% higher odds (95% CI: 1.32; 1.70) of overweight compared with no use. Tracked nighttime smartphone use was also associated with overweight. Similar results were found for obesity as an outcome. No consistent associations were found between nighttime smartphone use and cardiometabolic risk markers in a small subsample of healthy young women. Poor sleep quality (vs. good sleep quality) was associated with overweight (OR = 1.19, 85% CI: 1.10; 1.28). Overall, frequent nighttime smartphone use was consistently associated with overweight and a higher BMI across diverse population samples. The bidirectional interplay between nighttime smartphone use, sleep, and overweight may create a vicious circle of metabolic dysfunction over time. Therefore, nighttime smartphone use may be a potential target point for public health interventions to reduce overweight at the population level.

Approach the Patient With Obstructive Sleep Apnea and Obesity

Obstructive sleep apnea (OSA) and obesity are highly prevalent and bidirectionally associated. OSA is underrecognized, however, particularly in women. By mechanisms that overlap with those of obesity, OSA increases the risk of developing, or having poor outcomes from, comorbid chronic disorders and impairs quality of life. Using 2 illustrative cases, we discuss the relationships between OSA and obesity with type 2 diabetes, dyslipidemia, cardiovascular disease, cognitive disturbance, mood disorders, lower urinary tract symptoms, sexual function, and reproductive disorders. The differences in OSA between men and women, the phenotypic variability of OSA, and comorbid sleep disorders are highlighted. When the probability of OSA is high due to consistent symptoms, comorbidities, or both, a diagnostic sleep study is advisable. Continuous positive airway pressure or mandibular advancement splints improve symptoms. Benefits for comorbidities are variable depending on nightly duration of use. By contrast, weight loss and optimization of lifestyle behaviors are consistently beneficial.

Effect of Cognitive Behavioural Therapy in Improving Sleep and Health Status in Patients with Cardiometabolic Syndrome: a Meta-Analysis

The aim of this study was to assess the effect of cognitive behavioural therapy intervention on sleep and health improvement in patients with cardiometabolic syndrome and sleep problems. This study also aimed to assess the effect of different study designs to explain the overall intervention effect through subgroup analysis. Relevant randomized controlled trial studies were searched through six online databases. The PEDro scale was used to assess the quality of the included studies. The random effects model was used to assess the mean difference, effect size, and standard deviation of the outcome variables. The heterogeneity of the included studies was assessed using I2 and Q tests. Publication bias was assessed by the Egger test. Cognitive behavioural therapy intervention provided a significant effect in improving the Pittsburgh Sleep Quality Index, Insomnia Severity Index, total sleep time, sleep efficiency, depression, fatigue, and HbA1c. The effect of cognitive behavioural therapy is more significant when relaxation training and education components are included. Cognitive behavioural therapy is suitable for the treatment of sleep problems in patients with cardiometabolic syndrome. Cognitive behavioural therapy is also effective on depression and fatigue but has a limited effect on blood pressure and biomedical indicators related to cardiometabolic syndrome.

Exposures to ambient air pollutants increase prevalence of sleep disorder in adults: Evidence from Wuhan Chronic Disease Cohort Study (WCDCS)

BACKGROUND

Sleep disorder contributes to memory dysfunction and chronic diseases. Clear evidence of environment disturbance, such as residential noise, are associated with an increased risk of sleep disorder. However, not enough studies have been conducted on association between residential air pollutants and sleep disorder. We sought to determine whether exposures to residential air pollutants associated with risk of sleep disorder among adults.

METHODS

Using the dataset of the Wuhan Chronic Disease Cohort Study (WCDCS), we investigated the prevalence of sleep disorder and five sleep disorder symptoms in the study. The data of air pollutants (including PM10, PM2.5, NO2, SO2 and O3) were obtained from 10 air quality monitoring stations in Wuhan. We utilized logistic regression model to evaluate the associations of five types of air pollutants with odds ratio (OR) of sleep disorder and symptoms. The potential moderating effects of socio-demographic factors in the associations were explored using the interaction effects model.

RESULTS

Of the study participants, 52.1 % had sleep disorder. Exposures to higher concentrations of air pollutants were associated with increased prevalence of sleep disorder. For example, per interquartile range (IQR) increases in concentrations of PM10, PM2.5 or SO2 corresponded to the increase of sleep disorder increased prevalence at 14.7 % (adjusted odds ratio (aOR) = 1.147, 95 %CI:1.062, 1.240), 8.9 % (aOR = 1.089, 95 %CI: 1.003, 1.182) and 15.8 % (aOR = 1.158, 95 %CI: 1.065, 1.260). For symptoms specific analyses, significant linkages of PM10, PM2.5, SO2 with difficulty in falling asleep, wake up after falling asleep and early awaken were observed. Moderating effects of age and place of residence on the linkages of PM10 with increased prevalence of sleep disorder were identified.

CONCLUSION

Higher level of air pollution exposure could increase the prevalence of sleep disorder. Middle-aged and elderly population, as well as the rural residents are more likely to suffer from sleep disorder.

The interplay between macronutrients and sleep: focus on circadian and homeostatic processes

Sleep disturbances are an emerging risk factor for metabolic diseases, for which the burden is particularly worrying worldwide. The importance of sleep for metabolic health is being increasingly recognized, and not only the amount of sleep plays an important role, but also its quality. In this review, we studied the evidence in the literature on macronutrients and their influence on sleep, focusing on the mechanisms that may lay behind this interaction. In particular, we focused on the effects of macronutrients on circadian and homeostatic processes of sleep in preclinical models, and reviewed the evidence of clinical studies in humans. Given the importance of sleep for health, and the role of circadian biology in healthy sleep, it is important to understand how macronutrients regulate circadian clocks and sleep homeostasis.

The Influence of Comorbidities on Chemokine and Cytokine Profile in Obstructive Sleep Apnea Patients: Preliminary Results

INTRODUCTION

Obstructive sleep apnea (OSA) is frequently associated with a chronic inflammatory state and cardiovascular/metabolic complications. The aim of this study was to evaluate the influence of certain comorbidities on a panel of 45 chemokines and cytokines in OSA patients with special regard to their possible association with cardiovascular diseases.

MATERIAL AND METHODS

This cross-sectional study was performed on 61 newly diagnosed OSA patients. For the measurement of the plasma concentration of chemokines and cytokines, the magnetic bead-based multiplex assay for the Luminex^® platform was used.

RESULTS

In the patients with concomitant COPD, there were increased levels of pro-inflammatory cytokines (CCL11, CD-40 ligand) and decreased anti-inflammatory cytokine (IL-10), while in diabetes, there were increased levels of pro-inflammatory cytokines (IL-6, TRIAL). Obesity was associated with increased levels of both pro-inflammatory (IL-13) and anti-inflammatory (IL-1RA) cytokines. Hypertension was associated with increased levels of both pro-inflammatory (CCL3) and anti-inflammatory (IL-10) cytokines. Increased daytime pCO₂, low mean nocturnal SaO₂, and the oxygen desaturation index were associated with increased levels of pro-inflammatory cytokines (CXCL1, PDGF-AB, TNF-α, and IL-15).

CONCLUSIONS

In OSA patients with concomitant diabetes and COPD, elevated levels of certain pro-inflammatory and decreased levels of certain anti-inflammatory cytokines may favor the persistence of a chronic inflammatory state with further consequences. Nocturnal hypoxemia, frequent episodes of desaturation, and increased daytime pCO₂ are factors contributing to the chronic inflammatory state in OSA patients.

Changes in sleep duration and sleep difficulties from adolescence to young adulthood and the risk of obesity: Bidirectional evidence in the GINIplus and LISA studies

OBJECTIVE

This study aimed to assess the association of changes in sleep behaviors from adolescence to young adulthood with the risk of overweight/obesity, and the reverse relationship.

METHODS

Data of 1978 participants was obtained from the 15- and 20-year follow-ups of the GINIplus and LISA birth cohorts. Insufficient sleep was defined as reported sleep duration <8 h for adolescents, <7 h for adults, and sleep difficulties as reported having sleeping difficulties. Logistic regression models were used to assess bidirectional associations of changes in insufficient sleep and sleep difficulties with overweight/obesity. The polygenic risk scores (PRS) for body mass index (BMI) was tested in a sub-sample (n = 918).

RESULTS

Compared with sufficient sleep in both adolescence and young adulthood, insufficient sleep only in young adulthood was associated with an increased risk of overweight/obesity (odds ratio = 1.85, 95%confidence interval = [1.27-2.69]). Compared with no sleep difficulties at both time-points, only persistent sleep difficulties was associated with a higher risk of overweight/obesity (2.15 [1.22-3.77]). The PRS for BMI was associated with overweight/obesity (1.41 [1.17-1.70]), but no significant gene-sleep interaction effect was observed. Reversely, only persistent overweight/obesity was associated with increased risks of insufficient sleep (1.81 [1.21-2.70]), and sleep difficulties (1.77 [1.18-2.66]), respectively.

CONCLUSIONS

Insufficient sleep only presented a cross-sectional association with overweight/obesity in young adulthood, while long-term sleep difficulties from adolescence to young adulthood was associated with young adult overweight/obesity. Reversely, long-term overweight/obesity from adolescence to young adulthood was associated with insufficient sleep and sleep difficulties in young adulthood.

Obstructive Sleep Apnea, Circadian Clock Disruption, and Metabolic Consequences

Obstructive sleep apnea (OSA) is a chronic disorder characterized by recurrent episodes of apnea and hypopnea during sleep. It is associated with various cardiovascular and metabolic complications, including type 2 diabetes mellitus (T2DM) and obesity. Many pathways can be responsible for T2DM development in OSA patients, e.g., those related to HIF-1 and SIRT1 expression. Moreover, epigenetic mechanisms, such as miRNA181a or miRNA199, are postulated to play a pivotal role in this link. It has been proven that OSA increases the occurrence of circadian clock disruption, which is also a risk factor for metabolic disease development. Circadian clock disruption impairs the metabolism of glucose, lipids, and the secretion of bile acids. Therefore, OSA-induced circadian clock disruption may be a potential, complex, underlying pathway involved in developing and exacerbating metabolic diseases among OSA patients. The current paper summarizes the available information pertaining to the relationship between OSA and circadian clock disruption in the context of potential mechanisms leading to metabolic disorders.

The Management of Sleep Disturbances in Patients with Schizophrenia: A Case Series

Patients with schizophrenia commonly encounter a variety of sleep disorders. Disturbed sleep can be found in 30-80% of patients, depending on the degree of psychotic symptomatology. Difficulty falling asleep, maintaining, or achieving restful sleep is associated with symptom severity and has been reported as a prodromal symptom of psychotic relapse. Although some sleep disorders improve with antipsychotic treatment, in many cases, even during disease remission, sleep continues to be fragmented, or even different pathophysiological mechanism is causing sleep disruption. Moreover, it may be complicated if the patient needs specific treatment, such as positive airway pressure (PAP) therapy, due to sleep-disordered breathing. The article presents case reports of patients with schizophrenia with sleep disturbances. As presented in our case reports, cognitive behavioral therapy seems effective in treating comorbid insomnia, even in patients with schizophrenia. The second and third case reports emphasise the need for broader clinical considerations, a cross-diagnostic approach, and cooperation in care for patients with severe mental disorders.

Healthy Sleep Every Day Keeps the Doctor Away

When one considers the big picture of their health, sufficient sleep may often go overlooked as a keystone element in this picture. Insufficient sleep in either quality or duration is a growing problem for our modern society. It is essential to look at what this means for our health because insufficient sleep increases our risks of innumerable lifechanging diseases. Beyond increasing the risk of developing these diseases, it also makes the symptoms and pathogenesis of many diseases worse. Additionally, consistent quality sleep can not only improve our physical health but has also been shown to improve mental health and overall quality of life. Substandard sleep health could be a root cause for numerous issues individuals may be facing in their lives. It is essential that physicians take the time to learn about how to educate their patients on sleep health and try to work with them on an individual level to help motivate lifestyle changes. Facilitating access to sleep education for their patients is one way in which physicians can help provide patients with the tools to improve their sleep health. Throughout this paper, we will review the mechanisms behind the relationship between insufficient sleep health and chronic disease and what the science says about how inadequate sleep health negatively impacts the overall health and the quality of our lives. We will also explain the lifechanging effects of sufficient sleep and how we can help patients get there.

The Case for Early Use of Glucagon-like Peptide-1 Receptor Agonists in Obstructive Sleep Apnea Patients with Comorbid Diabetes and Metabolic Syndrome

Patients with obstructive sleep apnea (OSA) have high rates of co-occurring type 2 diabetes, hypertension, obesity, stroke, congestive heart failure, and accelerated atherosclerotic cardiovascular diseases. These conditions frequently require multiple medications, raising the risk of polypharmacy, adverse drug-drug and drug-disease interactions, decreased quality of life, and increased healthcare cost in these patients. The current review of extant literature presents evidence supporting glucagon-like peptide-1 receptor agonists (GLP-1RA) as one pharmacologic intervention that provides a "one-stop shop" for OSA patients because of the multiple effects GLP-1RA has on comorbidities (e.g., hypertension, diabetes, obesity, metabolic syndrome, and atherosclerotic cardiovascular diseases) that commonly co-occur with OSA. Examples of glucagon-like peptide-1 receptor agonists approved by the FDA for diabetes (some of which are also approved for obesity) are liraglutide, exenatide, lixisenatide, dulaglutide, semaglutide, and albiglutide. Prescribing of GLP-1RAs to address these multiple co-occurring conditions has enormous potential to reduce polypharmacy, cost, and adverse drug events, and to improve quality of life for patients living with OSA and diabetes. We thus strongly advocate for increased and early use of GLP-1RA in OSA patients with co-occurring diabetes and other cardiometabolic conditions common in OSA.

Relationship of night sleep duration with health lifestyle, depressive symptoms, internet addiction in Chinese High school Students

This study aimed to explore effects of night sleep duration and its relationships with health lifestyle, depressive symptoms and Internet addiction among high school students. In this study, we used multistage stratified random cluster sampling method. A total of 2149 adolescents aged 14-18 years old were recruited in the study. Associations among sleep duration and demographic characteristics, health lifestyle, depressive symptoms and Internet addiction among Chinese students were analyzed by univariate analysis and binary logistic regression analysis. Then, the structural equation model (SEM) was used to study the relationships between sleep duration and other variables. The mean sleep duration was (6.56 ± 1.15) hours. Approximately 16.0% of all participants had short sleep duration, and 20.5% had long sleep duration. Binary logistic regression analysis revealed that having more high sugar drinks and fried foods were positively associated with short sleep duration. Depressive symptoms not only directly had a negatively impact on sleep duration, but also had an indirect effect on sleep duration through Internet addiction. Sleep problems are common within the population of adolescents. Depressive symptoms was an important factor in the prevention of abnormal sleep duration, and interventions that target Internet addiction is key to reduce inadequate sleep.

The Impact of Sleep-Disordered Breathing on Ghrelin, Obestatin, and Leptin Profiles in Patients with Obesity or Overweight

Background: The impact of concomitant obesity and sleep disorders on neuropeptides related to energy balance is poorly understood. The aim of this study was to assess the nocturnal profile of total ghrelin, obestatin, and leptin in patients with elevated BMI and to investigate the impact of breathing-related sleep disorders on these hormone levels. Methods: The study involved 58 patients with suspicion of obstructive sleep apnea (OSA). Patients underwent anthropometric and sleep examination and measurements of night ghrelin, leptin, and obestatin levels. Results: In patients with OSA (n = 46), recognized on the basis of sleep examination outcomes, the correlation of anthropometric measurements with parameters of sleep disorders and ghrelin levels was observed, contrary to the control group (n = 12). In the OSA group, levels of ghrelin were significantly lower than in the control group at 5:00 and 7:00. Levels of leptin in the OSA group were also lower than those in the control groups (not statistically significant). Profiles of obestatin in both groups were similar. Conclusions: Our results confirm the relationship between obesity and sleep-disordered breathing. Both these disorders affect ghrelin levels—parameters of obesity negatively correlate with hormone concentration, and OSA seems to lower ghrelin values in the second half of the night.

Association between Objectively Measured Sedentary Behaviour and Sleep Quality in Japanese Adults: A Population-Based Cross-Sectional Study

The association between sedentary behaviour and sleep quality (SQ) remains unclear, partly due to the limited methodology for assessing sedentary time and the influence of obesity. This study aimed to examine the association between objectively measured sedentary time and poor SQ, as well as the association of visceral fat accumulation. This cross-sectional study used health check-up data obtained from 721 Japanese adults. Sedentary time and physical activity were measured using an accelerometer for ≥7 days, with ≥10 measurement hours per day. Poor SQ was determined by a Pittsburgh Sleep Quality Index score of ≥ 6. Visceral fat was measured using the abdominal bioimpedance method. A logistic regression model was used to analyse the association between sedentary time and SQ. We found that higher sedentary time was associated with poorer SQ. This association remained significant after adjustment for several covariates, including visceral fat. Compared with the lowest tertile of sedentary time, the second and highest tertile had a significantly higher OR of poor SQ (Tertile 2: OR = 2.06 [95% CI 1.14,3,73]; Tertile 3: OR = 2.76 [95% CI 1.49, 5.11]). These results suggest that managing sedentary time itself might contribute to improving SQ.

The circadian clock and diseases of the skin

Organisms have an evolutionarily conserved internal rhythm that helps them anticipate and adapt to daily changes in the environment. Synchronized to the light-dark cycle with a period of around 24 hours, the timing of the circadian clock is set by light-triggering signals sent from the retina to the suprachiasmatic nucleus. Other inputs, including food intake, exercise, and temperature, also affect clocks in peripheral tissues, including skin. Here, we review the intricate interplay between the core clock network and fundamental physiological processes in skin such as homeostasis, regeneration, and immune- and stress responses. We illustrate the effect of feeding time on the skin circadian clock and skin functions, a previously overlooked area of research. We then discuss works that relate the circadian clock and its disruption to skin diseases, including skin cancer, sunburn, hair loss, aging, infections, inflammatory skin diseases, and wound healing. Finally, we highlight the promise of circadian medicine for skin disease prevention and management.