Sleep deprivation and obesity in adults: a brief narrative review

Association Between Changes in Sleep, Nap Duration and Bone Mineral Density in Mexican Adults

Studies have found associations between sleep, nap duration, and bone mineral density (BMD). However, the longitudinal relationship between sleep, nap duration, and BMD has not been explored. We evaluated the association between the change in sleep and nap duration and BMD in Mexican adults. Data come from 1,337 adult participants of the Health Workers Cohort Study (341 were men and 996 were women, including 450 women < 45 years old and 546 ≥ 45 years old), with two study waves. At each wave, sleep and nap duration was assessed using self-administered questionnaires and BMD in g/cm2 was determined by dual X-ray absorptiometry. We used fixed-effect regression models stratified by sex and adjusted for BMI, diet, physical activity, vitamin supplements, and hormone replacement therapy. Women who changed from < 7 to ≥ 7 h/day of sleep from baseline to follow-up were associated with increases in the total hip (β = 0.012 g/cm2; 95% CI: 0.002, 0.022) and lumbar spine BMD (β = 0.024 g/cm2; 95% CI: 0.009, 0.039). Furthermore, most of these associations were observed in women ≥ 45 years. For women, a changing from 0 to > 60 min/day of napping was associated with a significant increase in total hip BMD of 0.012 g/cm2 (95% CI: 0.004, 0.024) and lumbar spine BMD of 0.027 g/cm2 (95% CI: 0.009, 0.045). No significant associations were observed for men. Our results suggest that increased sleep and nap duration are associated with gains in BMD in Mexican women, emphasizing sleep's role in promoting bone health and supporting established recommendations.

Clinical and instrumental features in 82 patients with insufficient sleep syndrome

Insufficient sleep syndrome possibly represents the worldwide leading cause of daytime sleepiness, but remains poorly recognised and studied. The aim of this case series is to comprehensively describe a cohort of patients with insufficient sleep syndrome. Eighty-two patients were studied concerning demographic and socio-economic features, medical, psychiatric and sleep comorbidities, substance use, sleep symptoms, actigraphy, video-polysomnography, multiple sleep latency tests and treatment. The typical patient with insufficient sleep syndrome is a middle-aged adult (with no difference of gender), employed, who has a family, often carrying psychiatric and neurological comorbidities, in particular headache, anxiety and depression. Other sleep disorders, especially mild sleep apnea and bruxism, were common as well. Actigraphy was a valuable tool in the characterisation of insufficient sleep syndrome, showing a sleep restriction during weekdays, associated with a recovery rebound of night sleep during weekends and a high amount of daytime sleep. An over- or underestimation of sleeping was common, concerning both the duration of night sleep and daytime napping. The average daily sleep considering both daytime and night-time, weekdays and weekends corresponds to the recommended minimal normal duration, meaning that the burden of insufficient sleep syndrome could mainly depend on sleep fragmentation and low quality. Sleep efficiency was elevated both in actigraphy and video-polysomnography. Multiple sleep latency tests evidenced a tendency toward sleep-onset rapid eye movement periods. Our study offers a comprehensive characterisation of patients with insufficient sleep syndrome, and clarifies their sleeping pattern, opening avenues for management and treatment of the disorder. Current options seem not adapted, and in our opinion a cognitive-behavioural psychotherapy protocol should be developed.

Gut microbiota in overweight and obesity: crosstalk with adipose tissue

Overweight and obesity are characterized by excessive fat mass accumulation produced when energy intake exceeds energy expenditure. One plausible way to control energy expenditure is to modulate thermogenic pathways in white adipose tissue (WAT) and/or brown adipose tissue (BAT). Among the different environmental factors capable of influencing host metabolism and energy balance, the gut microbiota is now considered a key player. Following pioneering studies showing that mice lacking gut microbes (that is, germ-free mice) or depleted of their gut microbiota (that is, using antibiotics) developed less adipose tissue, numerous studies have investigated the complex interactions existing between gut bacteria, some of their membrane components (that is, lipopolysaccharides), and their metabolites (that is, short-chain fatty acids, endocannabinoids, bile acids, aryl hydrocarbon receptor ligands and tryptophan derivatives) as well as their contribution to the browning and/or beiging of WAT and changes in BAT activity. In this Review, we discuss the general physiology of both WAT and BAT. Subsequently, we introduce how gut bacteria and different microbiota-derived metabolites, their receptors and signalling pathways can regulate the development of adipose tissue and its metabolic capacities. Finally, we describe the key challenges in moving from bench to bedside by presenting specific key examples.

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.

Exploring the short-term influence of a proprietary oil extract of black cumin (Nigella sativa) on non-restorative sleep: a randomized, double-blinded, placebo-controlled actigraphy study

Background

Nigella sativa (black cumin, or black seed) is popularly known as the seed of blessings in the Arab system of medicine. Though not widely recommended for sleep, a unique proprietary black cumin extract (BlaQmax®/ThymoDream™; BCO-5) has been shown to be helpful in the management of stress and sleep issues.

Methods

This randomized, double-blind, placebo-controlled trial aimed to investigate the efficacy of BCO-5 on the sleep quality of volunteers characterized with a self-reported non-restorative sleep disorder. Healthy male and female participants (n = 70), aged 18-65 years (BMI 22-28 Kg/m2) were randomized to either placebo or BCO-5 (n = 35/group). Both interventions were supplemented at 200 mg/day for seven days. Actigraphy and a validated restorative sleep questionnaire (RSQ-W) were used to monitor the influence of BCO-5 on sleep.

Results

Compared to placebo, BCO-5 significantly improved sleep quality, as evidenced by both intra-group and inter-group analyses of the actigraphy data. The relative improvements observed were sleep efficiency (7.8%, p < 0.001), total sleep time (19.1%, p < 0.001), sleep onset latency (35.4%; p < 0.001), and wake-after-sleep-onset (22.5%; p < 0.001) compared with placebo. BCO-5 also improved sleep by 75.3% compared to baseline (p < 0.001) and by 68.9% compared to placebo (p < 0.001), when monitored by RSQ-W. BCO-5 was well-tolerated with no reports of side effects or toxicity.

Conclusion

BCO-5 significantly improved non-restorative sleep in seven days, indicating its potential role as a natural sleep aid.

Delayed Sleep Midpoint Across Pregnancy Is Associated with Excessive Gestational Weight Gain

Background: Changes in sleep patterns and body weight occur during pregnancy, yet it is unclear whether sleep patterns are related to gestational weight gain (GWG). This study examined the relationship between maternal sleep across pregnancy and excessive GWG. Methods: Participants from the Michigan Archive for Research on Child Health (MARCH) cohort study, who had singleton births and provided information on fall-asleep and wake-up times during early (first or second) and the third trimesters, were included (n = 372). Changes in sleep duration and sleep midpoints throughout pregnancy were calculated. Prepregnancy weight and the last maternal weight before delivery were used to calculate GWG, which was categorized into groups (inadequate, adequate, and excessive). Poisson regression models were used to examine associations between sleep changes and excessive GWG, adjusted for age, race, gestational age, prepregnancy body mass index, income, fetus gender, physical activity, added sugar, and fruit and vegetable intake. Results: Excessive GWG was observed in 46.5% of women, and was more common among those with prepregnancy obesity (p < 0.001). Women who delayed sleep midpoint by 1 hour (or more) from the early trimester assessment to the third trimester experienced higher risk of excessive GWG (Risk ratio: 1.3; 95% confidence interval: 1.1-1.7). Single time points of sleep duration and sleep midpoint or changes in sleep duration were not related to GWG. Conclusions: Delay in sleep midpoint from early-mid pregnancy to the third trimester was associated with excessive GWG. Health professionals should consider changes in sleep patterns during pregnancy to identify those prone to excessive GWG.

The Association Between Short Sleep Duration and Metabolic Syndrome: A Case-Control Study

Purpose

Short sleep duration and quality are increasingly common in the Middle East and North Africa (MENA) region and has been linked to metabolic syndrome, which increases the risk of cardiovascular disease and diabetes. This study aimed to examine the link between short sleep duration and metabolic syndrome.

Patients and Methods

We conducted a case-control study using data from Qatar Biobank, with 1000 participants categorized into two groups: less than 7 hours of sleep (n=500) and 7 or more hours of sleep (n=500). Metabolic syndrome was defined using WHO criteria, and logistic regression analysis adjusted for age and gender.

Results

There was a higher proportion of individuals with MetS in the short sleep duration group compared to the normal sleep duration group (22.8% vs 15.8%, respectively). The multivariable regression showed that short sleep duration was associated with metabolic syndrome (OR 1.91, 95% CI: 1.14-3.20, P=0.014) and having 1-2 components of metabolic syndrome (OR 1.91, 95% CI: 1.14-3.20, P=0.014), particularly in males (OR: 2.30, 95% CI: 1.07-4.94, P=0.032). Being overweight (OR 2.17, 95% CI: 1.30-3.63, P=0.003) was also associated with a shorter sleep duration. BMI was identified as the main contributor to the association between short sleep duration and metabolic syndrome, while diabetes played a minor role.

Conclusion

Short sleep duration was associated with metabolic syndrome in Qatar, particularly in males.

Visceral fat sympathectomy ameliorates systemic and local stress response related to chronic sleep restriction

Disturbance of sleep homeostasis encompasses health issues, including metabolic disorders like obesity, diabetes, and augmented stress vulnerability. Sleep and stress interact bidirectionally to influence the central nervous system and metabolism. Murine models demonstrate that decreased sleep time is associated with an increased systemic stress response, characterized by endocrinal imbalance, including the elevated activity of hypothalamic-pituitary-adrenal axis, augmented insulin, and reduced adiponectin, affecting peripheral organs physiology, mainly the white adipose tissue (WAT). Within peripheral organs, a local stress response can also be activated by promoting the formation of corticosterone. This local amplifying glucocorticoid signaling is favored through the activation of the enzyme 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1). In WAT, 11β-HSD1 activity is upregulated by the sympathetic nervous system, suggesting a link between sleep loss, augmented stress response, and a potential WAT metabolic disturbance. To gain more understanding about this relationship, metabolic and stress responses of WAT-sympathectomized rats were analyzed to identify the contribution of the autonomic nervous system to stress response-related metabolic disorders during chronic sleep restriction. Male Wistar rats under sleep restriction were allowed just 6 h of daily sleep over eight weeks. Results showed that rats under sleep restriction presented higher serum corticosterone, increased adipose tissue 11β-HSD1 activity, weight loss, decreased visceral fat, augmented adiponectin, lower leptin levels, glucose tolerance impairment, and mildly decreased daily body temperature. In contrast, sympathectomized rats under sleep restriction exhibited decreased stress response (lower serum corticosterone and 11β-HSD1 activity). In addition, they maintained weight loss, explained by a reduced visceral fat pad, leptin, and adiponectin, improved glucose management, and persisting decline in body temperature. These results suggest autonomic nervous system is partially responsible for the WAT-exacerbated stress response and its metabolic and physiological disturbances.

Construction of a model for adolescent physical and mental health promotion based on the multiple mediating effects of general self-efficacy and sleep duration

We developed a model for promoting adolescent physical and mental health (MH) to investigate the integrated pathways of physical activity (PA), MH, general self-efficacy (GSE), and sleep duration (SD) promotion among adolescents in China. The research hypotheses were tested using questionnaires, descriptive statistics, and validated factor analysis. The mean age of the respondents was 14.94 ± 1.76 years, the PA level was 2.49 [95% confidence interval (CI): 2.46-2.53], the GSE score was 2.60 (95% CI: 2.57-2.64), the SD was 436.52 min/day (95% CI: 432.89-440.15), and the total mean MH score was 1.72 (95% CI: 1.69-1.76) (model fitness index: χ2/df = 1.295, comparative fit index = 0.999, Tucker-Lewis index = 0.997, root mean square error of approximation = 0.014, standardized root mean square residual = 0.007). The SD accounted for 46.85% of the mediating effect. The adolescents exhibited moderately low PA levels, severe SD deficits, and high rates of overall MH abnormalities. Consequently, the constructed model for promoting adolescent physical health and MH was confirmed to be reliable; GSE and SD are significant factors mediating MH promotion.

Short sleep duration is a novel independent risk factor for overweight and obesity

OBJECTIVES

To investigate the association between sleep duration (SD) and body mass index (BMI) in young adults.

METHODS

This cross-sectional study was carried out between January and September 2022, and the participants were 1724 health sciences students aged 16-22 years, from Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. Measurement of height and weight was carried out and BMI was calculated by the formula=weight in kg/height in m2. Based on SD, subjects were divided into 3 groups: short SD: <7 hours/24 hours; normal SD: 7-9 hours/24 hours; and increased SD: >9 hours/24 hours.

RESULTS

The participants' mean age was 19±3.2 years. Short sleepers had significantly higher BMI (24.2 kg/m2, p<0.001) relative to normal (23.03 kg/m2) and long sleepers (23.2 kg/m2, p=0.041). In addition, short sleep duration (SSD) was associated with overweight (OW) and obesity (OB) (p=0.01). Moreover, multivariate logistic regression analysis found SSD to be an independent risk factor for OW and OB, as it retained its significance (p=0.049) even after adjusting for the major confounding factors of BMI (namely, decreased physical activity and increased food intake). Moreover, it emerged that SSD could lead to 1.47 times higher odds ratio of OW and OB.

CONCLUSION

Participants with a SSD had significantly higher BMI than normal and long sleepers. Short sleep duration is an independent risk factor for increased BMI, which potentially leads to 1.47 times increased odds ratio of having OW and OB.

Sleep deprivation in development of obesity, effects on appetite regulation, energy metabolism, and dietary choices

Sleep deprivation, which is a decrease in duration and quality of sleep, is a common problem in today's life. Epidemiological and interventional investigations have suggested a link between sleep deprivation and overweight/obesity. Sleep deprivation affects homeostatic and non-homoeostatic regulation of appetite, with the food reward system playing a dominant role. Factors such as sex and weight status affect this regulation; men and individuals with excess weight seem to be more sensitive to reward-driven and hedonistic regulation of food intake. Sleep deprivation may also affect weight through affecting physical activity and energy expenditure. In addition, sleep deprivation influences food selection and eating behaviours, which are mainly managed by the food reward system. Sleep-deprived individuals mostly crave for palatable energy-dense foods and have low desire for fruit and vegetables. Consumption of meals may not change but energy intake from snacks increases. The individuals have more desire for snacks with high sugar and saturated fat content. The relationship between sleep and the diet is mutual, implying that diet and eating behaviours also affect sleep duration and quality. Consuming healthy diets containing fruit and vegetables and food sources of protein and unsaturated fats and low quantities of saturated fat and sugar may be used as a diet strategy to improve sleep. Since the effects of sleep deficiency differ between animals and humans, only evidence from human subject studies has been included, controversies are discussed and the need for future investigations is highlighted.

The impact of insomnia symptoms on obesity among Mexicans aged 50 and older

OBJECTIVE

To examine the association between insomnia and obesity in Mexican adults aged 50 and older.

MATERIALS AND METHODS

We used data from the Mexican Health and Aging Study (2015-2018). Self-reported insomnia was measured using the modified insomnia severity index with scores ranging from zero to six. Obesity was categorized using body mass index (BMI ≥ 30 kg/m2). We used generalized estimating equations to assess the association between insomnia and obesity over three years.

RESULTS

Insomnia was associated with obesity (odds ratio [OR]: 1.06, 95% confidence interval [CI]: 1.01,1.11), among those with no obesity at baseline. Among those with obesity, insomnia was not associated with changes in BMI. Lastly, obesity was not associated with changes in insomnia symptoms.

CONCLUSION

This work highlights the association between insomnia and obesity among older Mexican adults and demonstrates the importance of further studies on the effects of insomnia within this population.

Sleep duration, sleep quality and the risk of being obese: Evidence from the Australian panel survey

BACKGROUND

Sleep difficulty is an unmet public health concern affecting a vast proportion of the world's population. Poor sleep duration (short or long sleep length) and quality affect more than half of older people. Sleep difficulty is associated with negative health outcomes such as obesity and reduced longevity. We aimed to assess whether poor sleep duration and quality are significant risk factors for obesity in adults aged 15 and over in Australia by examining a nationally representative panel data.

METHODS

We used three waves (waves 13, 17, and 21) of the nationally representative Household, Income and Labour Dynamics in Australia (HILDA) survey data. The study applied generalized estimating equations (GEE) logistic regression model to assess the relationship between sleep duration and quality with obesity.

RESULTS

The study found that the odds of being obese was significantly higher amongst the study participants with poor sleep duration (adjusted odds ratio [aOR]: 1.24, 95% confidence interval [CI]: 1.16-1.32) and poor sleep quality (aOR: 1.29, 95% CI: 1.02-1.38) compared with their counterparts who had good sleep duration and quality, respectively.

CONCLUSION

Having short or long sleep at night and poor sleep quality are associated with an increased risk of obesity. Obesity poses a significant threat to the health of Australian adults. Enacting policies that raise public awareness of the significance of good sleep hygiene and encouraging healthy sleeping habits should be considered to address the alarming rise in the obesity rate.

Impact of Obesity and Diabetes in Pregnant Women on Their Immunity and Vaccination

Pregnant women with obesity and diabetes are at increased risk of developing infections and other complications during pregnancy. Several mechanisms are involved in the immunological mechanisms that contribute to reduced immunity in these populations. Both obesity and diabetes are associated with chronic low-grade inflammation that can lead to an overactive immune response. Pregnant women with obesity and diabetes often have an increase in pro-inflammatory cytokines and adipokines, such as TNF-α, IL-6, IL-1β, leptin, and resistin, which are involved in the inflammatory response. Insulin resistance can also affect the functioning of immune cells. Furthermore, both conditions alter the composition of the gut microbiome, which produces a variety of biomolecules, including short-chain fatty acids, lipopolysaccharides, and other metabolites. These substances may contribute to immune dysfunction. In addition to increasing the risk of infections, obesity and diabetes can also affect the efficacy of vaccinations in pregnant women. Pregnant women with obesity and diabetes are at increased risk of developing severe illness and complications from COVID-19, but COVID-19 vaccination may help protect them and their fetuses from infection and its associated risks. Since both obesity and diabetes classify a pregnancy as high risk, it is important to elucidate the impact of these diseases on immunity and vaccination during pregnancy. Research examining the efficacy of the COVID-19 vaccine in a high-risk pregnant population should be of particular value to obstetricians whose patients are hesitant to vaccinate during pregnancy. Further research is needed to better understand these mechanisms and to develop effective interventions to improve immune function in these populations.

40 years of actigraphy in sleep medicine and current state of the art algorithms

For the last 40 years, actigraphy or wearable accelerometry has provided an objective, low-burden and ecologically valid approach to assess real-world sleep and circadian patterns, contributing valuable data to epidemiological and clinical insights on sleep and sleep disorders. The proper use of wearable technology in sleep research requires validated algorithms that can derive sleep outcomes from the sensor data. Since the publication of the first automated scoring algorithm by Webster in 1982, a variety of sleep algorithms have been developed and contributed to sleep research, including many recent ones that leverage machine learning and / or deep learning approaches. However, it remains unclear how these algorithms compare to each other on the same data set and if these modern data science approaches improve the analytical validity of sleep outcomes based on wrist-worn acceleration data. This work provides a systematic evaluation across 8 state-of-the-art sleep algorithms on a common sleep data set with polysomnography (PSG) as ground truth. Despite the inclusion of recently published complex algorithms, simple regression-based and heuristic algorithms demonstrated slightly superior performance in sleep-wake classification and sleep outcome estimation. The performance of complex machine learning and deep learning models seem to suffer from poor generalization. This independent and systematic analytical validation of sleep algorithms provides key evidence on the use of wearable digital health technologies for sleep research and care.

Perivascular adipose tissue: Fine-tuner of vascular redox status and inflammation

Perivascular adipose tissue (PVAT) refers to the aggregate of adipose tissue surrounding the vasculature, exhibiting the phenotypes of white, beige and brown adipocytes. PVAT has emerged as an active modulator of vascular homeostasis and pathogenesis of cardiovascular diseases in addition to its structural role to provide mechanical support to blood vessels. More specifically, PVAT is closely involved in the regulation of reactive oxygen species (ROS) homeostasis and inflammation along the vascular tree, through the tight interaction between PVAT and cellular components of the vascular wall. Furthermore, the phenotype-genotype of PVAT at different regions of vasculature varies corresponding to different cardiovascular risks. During ageing and obesity, the cellular proportions and signaling pathways of PVAT vary in favor of cardiovascular pathogenesis by promoting ROS generation and inflammation. Physiological means and drugs that alter PVAT mass, components and signaling may provide new therapeutic insights in the treatment of cardiovascular diseases. In this review, we aim to provide an updated understanding towards PVAT in the context of redox regulation, and to highlight the therapeutic potential of targeting PVAT against cardiovascular complications.

Obesity and Cardiovascular Risk among South Asian Americans

Purpose of review

South Asian Americans experience higher cardiometabolic risk and disproportionately high rates of cardiovascular disease (CVD) compared to other racial and ethnic groups in the United States. The purpose of this review is to summarize recent evidence about the role of obesity in CVD risk in South Asian Americans and identify key evidence gaps and future directions for research and interventions for obesity in this group.

Recent findings

South Asian Americans are predisposed to abdominal obesity and have a higher distribution of visceral fat, intermuscular fat, and intrahepatic fat compared to adults of other race and ethnic groups. In this population, the risk for cardiometabolic disease appears to be elevated even at a normal body mass index. Social, cultural, religious, interpersonal, and environmental factors are related to obesity and obesity-related behaviors among South Asian Americans.

Summary

There is a relatively high prevalence of obesity in South Asian-origin populations in the United States, who have unique socio-cultural determinants of overweight and obesity. Future research should clarify why the risk for metabolic disease and CVD is elevated at normal BMI in the South Asian American population, and environmental and other structural factors that may influence obesity in this group. Interventions must be adapted to the social and cultural context of South Asian Americans to improve effectiveness and implementation.

Racial/Ethnic and Sex/Gender Differences in Sleep Duration Trajectories From Adolescence to Adulthood in a US National Sample

Racial/ethnic and sex/gender disparities in sleep duration have been documented in adolescence and adulthood. Identifying racial/ethnic and sex/gender differences in sleep duration trajectories from adolescence to adulthood can inform interventions on the developmental periods individuals are most at risk for short sleep duration. We examined racial/ethnic and sex/gender differences in self-reported sleep duration trajectories from adolescence to adulthood using data from waves I, III, IV, and V of the National Longitudinal Study of Adolescent to Adult Health (1994-2018; n = 12,593). Multigroup growth mixture modeling was used to enumerate sleep duration trajectories from adolescence to adulthood. There were 3 common trajectory types across race/ethnicity and sex/gender groups: 1) consistent increasing short sleepers (i.e., increasing probability of short sleep into adulthood) (67.3%); 2) late-onset short sleepers (i.e., no probability of short sleep duration in adolescence until adulthood) (20.2%); and 3) early-onset short sleepers (i.e., declining probability of short sleep duration from adolescence into adulthood) (12.5%). The prevalence of the consistent-increasing trajectory was highest among Black male respondents, while late onset was highest among White female respondents and early onset greatest among Latinx male respondents. Findings underscore the need to intervene in early adolescence to prevent short sleep duration in adulthood.

Changes in body mass, appetite-related hormones, and appetite sensation in women during 4 days of hypobaric hypoxic exposure equivalent to 3,500-m altitude

Altitude exposure may suppress appetite and hence provide a viable weight-loss strategy. While changes in food intake and availability as well as physical activity may contribute to altered appetite at altitude, herein we aimed to investigate the isolated effects of hypobaric hypoxia on appetite regulation and sensation. Twelve healthy women (age: 24.0 ± 4.2 years, body mass: 60.6 ± 7.0 kg) completed two 4-day sojourns in a hypobaric chamber, one in normoxia [P_B = 761 mmHg, 262 m (NX)] and one in hypobaric hypoxia [P_B = 493 mmHg (HH)] equivalent to 3,500-m altitude. Energy intake was standardized 4 days prior and throughout both sojourns. Plasma concentrations of leptin, acylated ghrelin, cholecystokinin (CCK), and cytokine growth differentiation factor 15 (GDF15) were determined every morning. Before and after breakfast, lunch, and dinner, appetite was assessed using visual analog scales. Body mass was significantly decreased following HH but not NX (-0.71 ± 0.32 kg vs. -0.05 ± 0.54 kg, condition: P < 0.001). Compared to NX, acylated ghrelin decreased throughout the HH sojourn (condition × time: P = 0.020), while leptin was higher throughout the entire HH sojourn (condition: P < 0.001). No differences were observed in CCK and GDF15 between the sojourns. Feelings of satiety and fullness were higher (condition: P < 0.001 and P = 0.013, respectively), whereas prospective food consumption was lower in HH than in NX (condition: P < 0.001). Our findings suggest that hypoxia exerts an anorexigenic effect on appetite-regulating hormones, suppresses subjective appetite sensation, and can induce weight loss in young healthy women. Among the investigated hormones, acylated ghrelin and leptin most likely explain the observed HH-induced appetite suppression.NEW & NOTEWORTHY This study investigated the effects of hypoxia on appetite regulation in women while strictly controlling for diet, physical activity, menstrual cycle, and environmental conditions. In young women, 4 days of altitude exposure (3,500 m) decreases body weight and circulating acylated ghrelin levels while preserving leptin concentrations. In line with the hormonal changes, altitude exposure induces alterations in appetite sensation, consisting of a decreased feeling of hunger and prospective food intake and an increased feeling of fullness and satiety.

Sleep-mediated regulation of reward circuits: implications in substance use disorders

Our modern society suffers from both pervasive sleep loss and substance abuse-what may be the indications for sleep on substance use disorders (SUDs), and could sleep contribute to the individual variations in SUDs? Decades of research in sleep as well as in motivated behaviors have laid the foundation for us to begin to answer these questions. This review is intended to critically summarize the circuit, cellular, and molecular mechanisms by which sleep influences reward function, and to reveal critical challenges for future studies. The review also suggests that improving sleep quality may serve as complementary therapeutics for treating SUDs, and that formulating sleep metrics may be useful for predicting individual susceptibility to SUDs and other reward-associated psychiatric diseases.

Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity

INTRODUCTION

Sleep deprivation (SD) and obesity are common in modern societies. SD and obesity frequently coexist, but research on the combined consequences of SD and obesity has been limited. In this study, we investigated the gut microbiota and host responses to SD and high-fat diet (HFD)-induced obesity. In addition, we attempted to identify key mediators of the microbiota-gut-brain axis.

METHODS

C57BL/6J mice were divided into four groups based on whether they were sleep deprived and whether they were fed a standard chow diet (SCD) or HFD. We then performed fecal microbiome shotgun sequencing, gut transcriptome analysis using RNA sequencing, and brain mRNA expression analysis using the nanoString nCounter Mouse Neuroinflammation Panel.

RESULTS

The gut microbiota was significantly altered by the HFD, whereas the gut transcriptome was primarily influenced by SD. Sleep and diet are both important in the inflammatory system of the brain. When SD and the HFD were combined, the inflammatory system of the brain was severely disrupted. In addition, inosine-5' phosphate may be the gut microbial metabolite that mediates microbiota-gut-brain interactions. To identify the major drivers of this interaction, we analyzed the multi-omics data. Integrative analysis revealed two driver factors that were mostly composed of the gut microbiota. We discovered that the gut microbiota may be the primary driver of microbiota-gut-brain interactions.

DISCUSSION

These findings imply that healing gut dysbiosis may be a viable therapeutic target for enhancing sleep quality and curing obesity-related dysfunction.

Experiences and perceptions of nutritional health and wellbeing amongst food insecure women in Europe: A qualitative meta-ethnography

Since the 2008 global financial crisis, there has been a rise in the number of people experiencing food insecurity. Particularly vulnerable are mothers with young children, pregnant women, and lone parents (the majority of whom are women). This systematic review and meta-ethnography of qualitative studies focused on women's experiences of food insecurity and how it affects their nutritional health and wellbeing. Six electronic databases (Medline, Scopus, Web of Science, EMBASE, CINAHL and ASSIA), were searched from January 1, 2008-July 10, 2021, and supplemented by searches of grey literature databases, relevant websites, examination of reference lists and citation searches. We adhered to PRISMA and eMERGe guidelines to improve the completeness and clarity of meta-ethnographic reporting. Methodological quality of the studies was assessed using the Critical Appraisal Skills Programme qualitative checklist. We identified 11,589 unique records; we included 23 publications reporting data from 22 unique studies involving 647 women. Data were synthesised according to Noblit & Hare's seven phases of meta-ethnography. We identified two key themes - accessing sufficient food and embodying food insecurity - comprising seven sub-themes. Our meta-ethnography provides a progressive 'storyline' of women's experiences of food insecurity. This includes the ways in which women attempt to access sufficient food, are unable to meet their nutritional needs, and the ways in which this is embedded into their everyday lives and embodied in unhealthful physical, social, and mental nutritional health and wellbeing impacts. Our review emphasises that food insecurity directly and tangibly impacts women's nutritional health and wellbeing. It concludes that there needs to be greater recognition of the psychosocial impact of food insecurity on vulnerable women in addition to its impact on their nutritional health and wellbeing.

Multi-Omics Analysis Reveals the Systematic Relationship Between Oral Homeostasis and Chronic Sleep Deprivation in Rats

Sleep disorders were associated with oral health. Inflammation has especially been thought to be a key factor in linking oral diseases and sleep deficiency. However, how chronic sleep deprivation (CSD) affects oral homeostasis, particularly oral inflammation and oral microbiota, is still unknown. This study aimed to uncover the systematic relationship between oral homeostasis and CSD in rats. The metabolomics in serum, proteomics in the tongue tissues, and microbiome analysis in the oral cavity in CSD rats were performed. Multi-omics data integration analysis was performed to uncover the systematic relationship between oral homeostasis and CSD through the weighted correlation network analysis. We found that CSD could lead to oral inflammation in rats. CSD significantly increased systemic inflammation by enhancing the serum levels of IL-1β, IL-6 and inhibiting the serum level of IL-10. Serum levels of adrenocorticotropin hormone, corticosterone, and triiodothyronine were increased in CSD rats, and the steroid hormone biosynthesis pathway was also found to be involved in the perturbation resulting from CSD, together suggesting the activation of the hypothalamic-pituitary-adrenocortical and hypothalamic‐pituitary‐thyroid axis. CSD led to changes of oral microbiota composition, and g_Acinetobacter, Candidatus Chryseobacterium massiliae, and g_Moraxella were significantly correlated with multiple proteins in bacterial invasion of epithelial cells pathway, which may partially responsible for oral inflammation resulting from CSD. The changes of proteomic profiling expression caused by CSD in tongue tissues were mainly enriched in neurodegenerative diseases pathways and immune/inflammation-related pathways. Multi-omics analysis indicated that the inflammatory response-related modules were significantly correlated with the neurodegenerative disease-related module suggesting a possible link between neurodegenerative diseases and oral inflammation. Together, CSD induced oral inflammation and subtle changes on oral microbiota. Our study is helpful to further understand the role that oral homeostasis plays in the process by which CSD affects human health and disease.

Prospective Associations Between Fathers' Engagement in Infant Caregiving and Their Weight-Related Behaviors and Mental Health

Fathers’ engagement in infant caregiving is linked with positive social, emotional, and developmental outcomes in children; however, its relationship with fathers’ own health is largely unknown. This longitudinal study examined associations between fathers’ caregiving engagement with their 6-month-old infants and their physical activity, sugar-sweetened beverage (SSB) consumption, nighttime sleep duration, and depressive symptoms 6 months later when infants were 12 months old. Participants were 143 fathers of infants (62.7% non-Hispanic White, 82.3% with a bachelor’s degree). Fathers reported their frequency of engagement in seven caregiving activities when infants were 6 months old. Fathers’ physical activity, SSB consumption, nighttime sleep duration, and depressive symptoms were assessed when infants were 6 and 12 months old. Multivariate logistic regression analysis was used to assess if fathers who reported higher infant caregiving at 6 months had more positive health outcomes at 12 months, controlling for fathers’ age, race/ethnicity, education, employment, household income, and the outcome at 6 months. Fathers who reported higher caregiving engagement when infants were 6 months old had increased odds of being sufficiently physically active 6 months later (unadjusted odds ratio [OR] = 1.19, 95% confidence interval [CI] = [1.00, 1.41]; adjusted OR = 1.47, 95% CI = [1.11, 1.96]). No links were identified between fathers’ caregiving engagement and their SSB consumption, nighttime sleep duration, or depressive symptoms. In summary, fathers’ engagement in infant caregiving may be beneficial to their physical activity in the first year after birth. There was insufficient evidence in this study that the benefits of caregiving engagement were experienced broadly across multiple health outcomes.

A Study of United States Registered Dietitian Nutritionists during COVID-19: From Impact to Adaptation

The COVID-19 pandemic introduced an unprecedented health crisis, requiring many Registered Dietitian Nutritionists (RDNs) to expand their duties and services, while other RDNs faced unemployment, reduced hours, and changes to their work environment. This study evaluated whether the pandemic impacted RDNs’ weight, eating behaviors, and psychological factors, and whether professional training as an RDN was perceived as a protective factor in maintaining healthy habits. A 57-item, cross-sectional, online questionnaire including open-ended questions was distributed to RDNs residing in the United States. Over two months (January 2021 to February 2021), 477 RDNs completed the questionnaire. Among RDNs, 68.5% reported no weight change, 21.4% reported weight gain greater than 5 pounds, and 10.3% reported weight loss greater than 5 pounds. Approximately 75% (n = 360) reported their RDN professional training equipped them with the skills needed to maintain healthy eating behaviors. Reduced physical activity and mental health were the top qualitative themes that emerged regarding reasons for weight change. These findings suggest that RDN professional practice skills may have conferred some personal health benefits, as evidenced by smaller weight gains, the maintenance of healthy habits, and fewer reporting psychological effects relative to the general population and other health professionals, thereby limiting the impact of pandemic-induced work and life disruptions.

An Overview of Epigenetics in Obesity: The Role of Lifestyle and Therapeutic Interventions

Obesity has become a global epidemic that has a negative impact on population health and the economy of nations. Genetic predispositions have been demonstrated to have a substantial role in the unbalanced energy metabolism seen in obesity. However, these genetic variations cannot entirely explain the massive growth in obesity over the last few decades. Accumulating evidence suggests that modern lifestyle characteristics such as the intake of energy-dense foods, adopting sedentary behavior, or exposure to environmental factors such as industrial endocrine disruptors all contribute to the rising obesity epidemic. Recent advances in the study of DNA and its alterations have considerably increased our understanding of the function of epigenetics in regulating energy metabolism and expenditure in obesity and metabolic diseases. These epigenetic modifications influence how DNA is transcribed without altering its sequence. They are dynamic, reflecting the interplay between the body and its surroundings. Notably, these epigenetic changes are reversible, making them appealing targets for therapeutic and corrective interventions. In this review, I discuss how these epigenetic modifications contribute to the disordered energy metabolism in obesity and to what degree lifestyle and weight reduction strategies and pharmacological drugs can restore energy balance by restoring normal epigenetic profiles.

The risk of developing cardiovascular disease in bipolar disorder. Clinical and social factors

Bipolar disorder (BD) is one of the most common mental disorders in the world with high mortality and a hard economic burden. Although suicide is the leading cause of death in BD, cardiovascular disease (CVD) also contributes significantly to this rate, the risk of which is seriously underestimated in BD. A sample assessment was made of current studies focusing on the link between BD and CVD. The search was carried out in the PubMed and eLIBRARY databases for the following keywords: bipolar disorder, psychopharmacology, cardiovascular disease, metabolic syndrome. The association between ВD and vascular disease is large. The analysis of adjusted mortality estimates in patients with bipolar disorder showed a significant contribution of CVD. A detailed study of the mutual influence of bipolar disorder BD and CVD is difficult due to the earlier manifestation of BD in comparison with CVD. Most of the studies have focused on cardiovascular risk factors (CVRFs), which are more common in BD than in the general population. Metabolic syndrome (MS) plays a significant role among CVRFs. The reasons for the development of MS in patients with BD are currently not known for sure, however, the instigated factors are certainly a disturbance of the diet, decreased physical activity, pharmacological therapy, and the lack of early preventive and medical care. Patients with hyperuricemia had a higher risk of developing MS. Lifestyle correction and a reduction of CVFRs, as well as the rational use of certain cardiac drugs can improve the better prognosis of the disease and reduce mortality in patients with BD. The predisposition of patients with BD to CVD is undeniable. It is necessary to consider the high frequency of CVRFs in people with BD, and promptly recommend appropriate treatment and special rehabilitation programs for the prevention of CVD complications, considering the change in affective phases and the applied mood-stabilizing drugs.

Neighborhood social cohesion and physical activity and obesity outcomes among Native Hawaiian and Pacific Islander individuals

OBJECTIVE

Native Hawaiian and Pacific Islander (NHPI) individuals report high obesity rates and low physical activity (PA) levels. This study examined associations between neighborhood social cohesion, obesity, and PA among NHPI adults.

METHODS

Cross-sectional data from the 2014 NHPI National Health Interview Survey were analyzed. Social cohesion was assessed using a summative scale and categorized as low, medium, and high. PA was measured via self-report and categorized as insufficiently active (0-149 min/wk) or sufficiently active (150+ min/wk). Obesity status was based on self-reported height and weight measures converted into standard BMI categories. Multivariable logistic regression models estimated odds of obesity and sufficient PA associated with social cohesion level.

RESULTS

The study sample included n = 2,590 NHPI adults. Compared with those in low social cohesion neighborhoods, participants in high social cohesion neighborhoods had increased sufficient PA odds (odds ratio [OR] = 1.59, 95% CI: 1.19-2.12; p = 0.003) and decreased obesity odds (OR = 0.57, 95% CI: 0.40-0.83; p = 0.005). No associations were observed between social cohesion and obesity and PA outcomes comparing individuals in medium versus low social cohesion neighborhoods.

CONCLUSIONS

High social cohesion was associated with reduced obesity odds and increased sufficient PA odds. Findings highlight the importance of enhancing social connectivity as a potential strategy to promote PA and healthy weight among NHPI individuals.

Obesity and Sleep

Sleep is often misunderstood in its impact on many chronic diseases including obesity. Obesity and restorative sleep are intertwined processes. Poor sleep negatively affects the key hormones of weight and appetite regulation, thereby potentially increasing weight via mechanisms that increase hunger and lower metabolism, thereby making the successful treatment of obesity more difficult. Clinicians should consider a comprehensive sleep history and proper treatment or referral to a sleep specialist in conjunction with obesity treatment. Adequate restorative sleep is integral to a comprehensive obesity treatment program.

Recumbency as an Equine Welfare Indicator in Geriatric Horses and Horses with Chronic Orthopaedic Disease

Recumbency is a prerequisite for horses achieving rapid eye movement (REM) sleep and completing a full sleep cycle. An inability to lie down due to environmental insecurities or pain results in REM sleep deficiency, which can cause substantial impairment of welfare and health. Therefore, the present study used wearable automated sensor technology on 83 horses housed in an animal sanctuary to measure and compare the recumbency, locomotion, and standing time budgets of geriatric horses with and without chronic lameness to younger adult sound and lame horses. Recumbency times ranged from 0 to 319 min per day with an overall mean of 67.4 (±61.9) minutes; the time budget for locomotion was 19.1% (±11.2% s.d.) and for standing 75.6% (±13.1 s.d.). Interestingly, neither age nor lameness due to chronic orthopedic disease had a significant influence on recumbency times in this study. Eight horses showed symptoms of REM deficit. These horses had significantly shorter lying times (7.99 ± 11.4 min) and smaller locomotion time budgets than the other horses enrolled in this study (73.8 ± 61.8 min), indicating a general compromise of well-being. Thus, wearable sensor technology can be used to identify horses with low recumbency times at risk for REM sleep deficiency and to assess and monitor equine welfare objectively.

Does Modern Lifestyle Favor Neuroimmunometabolic Changes? A Path to Obesity

Factors linked to modern lifestyles, such as physical inactivity, Western diet, and poor sleep quality have been identified as key contributors to the positive energy balance (PEB). PEB rises adipose tissue hypertrophy and dysfunction over the years, affecting cells and tissues that are metabolically critical for energy homeostasis regulation, especially skeletal muscle, hypothalamic-pituitary-adrenal axis, and gut microbiota. It is known that the interaction among lifestyle factors and tissue metabolic dysfunction increases low-grade chronic systemic inflammation, leading to insulin resistance and other adverse metabolic disorders. Although immunometabolic mechanisms are widely discussed in obesity, neuroimmunoendocrine pathways have gained notoriety, as a link to neuroinflammation and central nervous system disorders. Hypothalamic inflammation has been associated with food intake dysregulation, which comprises homeostatic and non-homeostatic mechanisms, promoting eating behavior changes related to the obesity prevalence. The purpose of this review is to provide an updated and integrated perspective on the effects of Western diet, sleep debt, and physical exercise on the regulation of energy homeostasis and low-grade chronic systemic inflammation. Subsequently, we discuss the intersection between systemic inflammation and neuroinflammation and how it can contribute to energy imbalance, favoring obesity. Finally, we propose a model of interactions between systemic inflammation and neuroinflammation, providing new insights into preventive and therapeutic targets for obesity.

Sleep Quality in the Indian Adult Population During the COVID-19 Pandemic

Background: In response to the COVID-19 pandemic, social distancing measures such as stay-at-home orders were implemented for all non-essential workers. The consequent disruption in the defined daily work routine has impacted both the quality and duration of sleep. Our aim was to evaluate the quality of sleep in the Indian adult population during the COVID-19 pandemic.

Methods: The data were collected between April 17, 2020 and May 24, 2020, and participants were invited openly through social media platforms (Facebook, Twitter, WhatsApp, Instagram). Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI) Questionnaire.

Results: The study population consisted of 808 participants (mean age 30.85 years, 56.7% female). The mean sleep score of the study population was 6.78 ± 3.19 on the PSQI, with a majority (57.2%) of respondents showing 'poor' sleep quality (>5 on PSQI). The mean sleep duration of the study population was found to be 6.9 ± 1.4 h, and sleep latency was 42.64 ± 51.6 min. The PSQI scores were comparable for age, gender, and work status and were not significant. However, a significant association between self-reported mental health and quality of sleep was found (p<0.05). Participants who reported a deterioration in mental health were more likely to have poor sleep quality than those who reported an improvement in their mental health.

Conclusions: The results of this study show that poor sleep quality is widely prevalent among the the general population in India during the COVID-19 pandemic.

Is self-reported short sleep duration associated with obesity? A systematic review and meta-analysis of cohort studies

CONTEXT

A possible association between self-reported short sleep duration and risk of obesity has been studied.

OBJECTIVE

To analyze the association between sleep duration and obesity.

METHODS

The LILACS, Medline, Central, Embase, and OpenGrey databases were searched from inception until July 2020. Two authors screened the studies independently according to the PECO strategy, as follows: participants: > 18 years old; exposure: short sleep duration; control: regular sleep; outcome: obesity). Only cohort studies were included. A total of 3286 studies were retrieved with the search strategy, but only 36 were included. Disagreements were resolved by a third author. The quality of studies was assessed with Newcastle-Ottawa Quality Assessment Form for Cohort Studies. The certainty of the evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation.

RESULTS

Thirty-six studies were included, and 22 contributed quantitative data. Most of the studies (n = 27) assessed sleep by self-report. The meta-analysis showed a significant association between self-reported short sleep and development of obesity, and the chances of developing obesity increased when self-reported sleep duration decreased.

CONCLUSIONS

Self-reported short sleep was significantly associated with a higher incidence of obesity, with moderate quality of evidence.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42019130143.

Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers

OBJECTIVES

To profile sleep duration and sleep efficiency in UK long-distance heavy goods vehicle (HGV) drivers and explore demographic, occupational and lifestyle predictors of sleep.

METHODS

Cross-sectional analyses were carried out on 329 HGV drivers (98.5% men) recruited across an international logistics company within the midland's region, UK. Sleep duration and efficiency were assessed via wrist-worn accelerometry (GENEActiv) over 8 days. Proportions of drivers with short sleep duration (<6 hour/24 hours and <7 hour/24 hours) and inadequate sleep efficiency (<85%) were calculated. Demographic, occupational and lifestyle data were collected via questionnaires and device-based measures. Logistic regression assessed predictors of short sleep duration and inadequate sleep efficiency.

RESULTS

58% of drivers had a mean sleep duration of <6 hour/24 hours, 91% demonstrated <7-hour sleep/24 hours and 72% achieved <85% sleep efficiency. Sleeping <6 hour/24 hours was less likely in morning (OR 0.45, 95% CI 0.21 to 0.94) and afternoon (OR 0.24, CI 0.10 to 0.60) shift workers (vs night) and if never smoked (vs current smokers) (OR 0.45, CI -0.22 to 0.92). The likelihood of sleeping <7 hour/24 hours reduced with age (OR 0.92, CI 0.87 to 0.98). The likelihood of presenting inadequate sleep efficiency reduced with age (OR 0.96, CI 0.93 to 0.99) and overweight body mass index category (vs obese) (OR 0.47, CI 0.27 to 0.82).

CONCLUSIONS

The high prevalence of short sleep duration and insufficient sleep quality (efficiency) rate suggest that many HGV drivers have increased risk of excessive daytime sleepiness, road traffic accidents and chronic disease. Future sleep research in UK HGV cohorts is warranted given the road safety and public health implications.

Annual, seasonal, cultural and vacation patterns in sleep, sedentary behaviour and physical activity: a systematic review and meta-analysis

Background

Time spent in daily activities (sleep, sedentary behaviour and physical activity) has important consequences for health and wellbeing. The amount of time spent varies from day to day, yet little is known about the temporal nature of daily activity patterns in adults. The aim of this review is to identify the annual rhythms of daily activity behaviours in healthy adults and explore what temporal factors appear to influence these rhythms.

Methods

Six online databases were searched for cohort studies exploring within-year temporal patterns (e.g. season effects, vacation, cultural festivals) in sleep, sedentary behaviour or physical activity in healthy 18 to 65-year-old adults. Screening, data extraction, and risk of bias scoring were performed in duplicate. Extracted data was presented as mean daily minutes of each activity type, with transformations performed as needed. Where possible, meta-analyses were performed using random effect models to calculate standardised mean differences (SMD).

Results

Of the 7009 articles identified, 17 studies were included. Studies were published between 2003 and 2019, representing 14 countries and 1951 participants, addressing variation in daily activities across season (n = 11), Ramadan (n = 4), vacation (n = 1) and daylight savings time transitions (n = 1). Meta-analyses suggested evidence of seasonal variation in activity patterns, with sleep highest in autumn (+ 12 min); sedentary behaviour highest in winter (+ 19 min); light physical activity highest in summer (+ 19 min); and moderate-to-vigorous physical activity highest in summer (+ 2 min) when compared to the yearly mean. These trends were significant for light physical activity in winter (SMD = − 0.03, 95% CI − 0.58 to − 0.01, P = 0.04). Sleep appeared 64 min less during, compared to outside Ramadan (non-significant). Narrative analyses for the impact of vacation and daylight savings suggested that light physical activity is higher during vacation and that sleep increases after the spring daylight savings transition, and decreases after the autumn transition.

Conclusions

Research into temporal patterns in activity behaviours is scarce. Existing evidence suggests that seasonal changes and periodic changes to usual routine, such as observing religious events, may influence activity behaviours across the year. Further research measuring 24-h time use and exploring a wider variety of temporal factors is needed.

Integrated metabolomics and proteomics analysis reveals energy metabolism disorders in the livers of sleep-deprived mice

Sleep deprivation (SD) has been linked to impaired mental and physical health, obesity, and various diseases. However, the molecular mechanism underlying the effects of SD in the liver is still unclear. To investigate the metabolome and proteome alterations in the liver, an in vivo model of SD was established based on automated random motion platform techniques by applying a strategy of 10 consecutive days of 20 h of sleep deprivation +4 h of resting. The liver's altered metabolites and proteins were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS), and data analyses were performed with MetaboAnalyst 5.0. This study found 15 differential metabolites, including 12 upregulated- metabolites and 3 downregulated- metabolites. A total of 493 proteins were differentially regulated, including 377 upregulated- proteins and 116 downregulated- proteins. The glutathione metabolism, fructose and mannose metabolism, and pyruvate metabolism pathways had significant effects on the sleep-deprived mouse livers. These three active pathways cause energy metabolism disorder and may induce obesity. In conclusion, this study demonstrates that SD could change the metabolism of glucose, and specific fatty acids, amino acids, and critical enzymes in the liver, providing a reference for the health effects of insufficient sleep. SIGNIFICANCE STATEMENT: So far, little is known about the changes in metabolites and proteins in the liver of individuals who suffer from SD. Metabolites and proteins in serum, urine and hypothalamus do not entirely reflect the effects of sleep deprivation on the whole body. In addition, many SD-induced models used the multiplatform water environment method, which causes mice to fall into the water frequently. Under this condition, the physical exertion of mice is extremely high, and it is not suitable for long-term sleep deprivation. The SD induction process has caused some influence on the model. Finally, few studies have elucidated the imbalance of energy metabolism caused by SD to induce obesity from the molecular mechanism. This study used a rotary table deprivation apparatus to trigger SD. This method will not cause excessive consumption and stimulation of mice. Furthermore, this study analyzed the metabolic and proteomic changes in the liver and enriched the range and means of metabolic and proteomic changes in sleep deprived mice. Finally, this research provides reference for elucidating the molecular mechanism of sleep deprivation causing energy metabolism disorders in the liver of mice.

Sleep deprivation in two Saskatchewan First Nation communities: a public health consideration

Objectives

Sleep deprivation is a common problem in Canada and is associated with many health problems. More than a quarter of Canadians get fewer than the recommended sleep hours (<7 h). This paper examines the prevalence and risk factors for sleep deprivation in two First Nation communities in Saskatchewan, Canada.

Methods

The baseline cross-sectional survey was completed between 2018 and 2019 in collaboration with the two Cree First Nation communities in Saskatchewan, Canada. There were five hundred and eighty-eight participants participated in the survey from two communities. A Multivariate logistic regression model was used for analysis.

Results

The prevalence of sleep deprivation (<7 h of sleep) was 25.4%. The multivariate logistics regression revealed that middle and older age groups, visible mold in the house, and being male with nighttime insomnia symptoms were significantly associated with a higher risk of sleep deprivation among study participants in the study.

Conclusions

In these two First Nation communities, a higher proportion of the participants reported having sleep deprivation. This was a unique study, which evolved from ongoing research collaboration with two First Nation communities in Saskatchewan, Canada. Findings will be helpful in the management of patients with sleep deprivation in these communities; as well as for co-creating policy with the communities and future research priorities.

•

The prevalence sleep deprivation was about 25% in these two First Nation communities.

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Association between sleep deprivation and males with nighttime insomnia observed.

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Another important finding was association between visible mold and sleep deprivation.

Do sleep quality and caffeine consumption mediate the relationship between late chronotype and body mass index?

AIM

To determine the role of sleep quality and caffeinated beverage consumption in the effect of late chronotype on body mass index (BMI).

MATERIALS AND METHODS

The study consisted of a total of 661 healthy university students with a mean age of 21.4 ± 1.38 years. Within the scope of the study, The Morningness-Eveningness Questionnaire (MEQ) was used to determine the chronotypes of individuals, the Pittsburgh Sleep Quality Index (PSQI) was used to determine sleep quality, and a 24 h physical activity record was taken to determine physical activity levels. The caffeine intake of the individuals was determined using a food frequency questionnaire for the intake of caffeinated food and beverages. The role of mediators in the effect of late chronotype on BMI was evaluated via multiple mediation analysis.

RESULTS

In this study, evening-type individuals had higher daily caffeine intake, worse sleep quality (P < 0.001), and higher BMI (P < 0.05). When the effect of mediators was taken into account, the negative relationship between the chronotype score and BMI was maintained (β = -0.109, 95% CI (-0.194, -0.021), P < 0.05). Decreased sleep quality had a mediated effect in this relationship [β = -0.208, 95% CI (-0.275, -0.119)], and caffeinated beverage consumption was found to have no mediator function (β = 0.040 95% CI (-0.050, 0.108), P > 0.05).

CONCLUSION

To conclude, eveningness chronotype had an effect on higher levels of caffeinated beverage consumption, lower sleep quality, and increased BMI. Chronotype, sleep quality, and caffeinated beverage consumption should be taken into account in studies examining the relationship between circadian rhythm and obesity.

[Sleep characteristics of a population of patients seeking bariatric surgery]

INTRODUCTION

Investigation for obstructive sleep apnea syndrome (OSAS) is mandatory before bariatric surgery. Data regarding chronic insomnia and chronic sleep deprivation are scarce in this population.

METHODS

A cross-sectional study assessing the prevalence of chronic insomnia, OSAS and chronic sleep privation in an obese population referred for bariatric surgery.

RESULTS

In all, 88 patients (74% women, median age 41 [33.5-50] years and median body mass index 42 [39.2-45.7] kg/m²) were included. The prevalence of chronic insomnia was 31% in the 87% suffering from OSAS that required continuous positive airway pressure therapy. Comorbid insomnia and sleep apnoea (COMISA) were found in 27% of our population. Chronic insomnia was associated with a lower quality of life (median EQ5D analogue visual scale: 60 [50-70] P=0.04) and a poor sleep quality (median Pittsburgh sleep quality index (PSQI): 8 (6-11 P<0.01) The deleterious combination of sleep privation and insomnia had a higher impact in terms of impairment of quality of life and sleep quality (median EQ5D analogue visual scale: 50 [40-65] P=0.02 et median PSQI: 11 [9-14, P<0.01) CONCLUSION: Chronic insomnia and sleep privation have synergistic deleterious effects in candidates for bariatric surgery. Further studies need to be conducted to evaluate the evolution after surgery.

Distinct Relevance of Nightly Sleep Duration to Metabolic, Anthropometric, and Lifestyle Factors in Patients with Type 2 Diabetes

Objective Although a number of studies have shown that both short and long sleep durations were associated with the risk of metabolic disorders related to obesity, the underlying mechanism is still not fully understood. In this study, we analyzed the association of sleep duration with metabolic, anthropometric, and lifestyle factors in patients with type 2 diabetes. Methods The subjects were 279 patients with type 2 diabetes 63 (52-70) years old (median and interquartile range) with a body mass index of 25.0 (22.2-28.3) kg/m² and HbA1c levels of 8.7% (7.6-10.3%). Patients with advanced complications were excluded from the study. Diets were evaluated by registered dietitians using a software program. Body composition was assessed by the multifrequency bioelectrical impedance method. Results The mean self-reported nightly sleep duration was 6.4 hours with no marked gender difference. Sleep duration was inversely correlated with the HbA1c levels, total energy intake, and intakes of carbohydrate, protein, and fat. The body fat ratio and skeletal muscle mass were correlated positively and negatively, respectively, with sleep duration. When the subjects were divided into three groups based on sleep duration, the intakes of total energy, carbohydrates, and fat tended to be high in those with <5.5 hours of sleep, and the percentage of patients who had habitual physical activities was lower in those with >7 hours of sleep. Conclusion The observation that sleep duration is distinctly associated with excessive eating and a sedentary lifestyle may provide a basis for effective lifestyle management of patients with type 2 diabetes.

The factor structure of depressive symptoms in patients with obesity enrolled in the RAINBOW clinical trial

BACKGROUND

Examining variability in the presenting symptoms of depression may be particularly important in characterizing depression in patients with comorbid conditions such as obesity. Identifying the underlying constructs of depression in such patients may produce phenotypic information to aid diagnosis and treatment decisions.

OBJECTIVE

To examine the latent factors of symptoms using the depression Symptom Checklist (SCL-20) and the Patient Health Questionnaire (PHQ-9), separately, in patients with obesity and elevated depressive symptoms.

METHODS

Exploratory factor analysis (EFA) was performed on baseline data from 409 patients with obesity and elevated depressive symptoms recruited in primary care. Bootstrap analysis was performed to estimate the precision and potential replicability of identified latent factors.

RESULTS

Participants (70% women, mean age of 51.0 ± 12.1 years) had moderate depression. EFA of the SCL-20 suggested two reliable factors: dysphoric mood (71% of the variance) and anhedonia (15% of the variance). EFA of the PHQ-9 yielded one factor: dysphoric mood (87% of the variance). Bootstrapped results supported the replicability of these results. The top most endorsed symptoms were feeling low energy, overeating and disturbed sleep.

LIMITATIONS

The generalizability of these findings to severe depression may be limited.

CONCLUSIONS

Patients with elevated depressive symptoms and obesity present with heterogeneous symptoms. The SCL-20 seems more sensitive than the PHQ-9 for differentiating symptom profiles in this population. Some possible reasons include: 1) differences in number of scale items, and 2) differences in the aspects of depression they tap into; the SCL-20 measures the severity of symptoms, whereas the PHQ-9 measures the frequency of symptoms.

Sleep, brain vascular health and ageing

Sleep maintains the function of the entire body through homeostasis. Chronic sleep deprivation (CSD) is a prime health concern in the modern world. Previous reports have shown that CSD has profound negative effects on brain vasculature at both the cellular and molecular levels, and that this is a major cause of cognitive dysfunction and early vascular ageing. However, correlations among sleep deprivation (SD), brain vascular changes and ageing have barely been looked into. This review attempts to correlate the alterations in the levels of major neurotransmitters (acetylcholine, adrenaline, GABA and glutamate) and signalling molecules (Sirt1, PGC1α, FOXO, P66^shc, PARP1) in SD and changes in brain vasculature, cognitive dysfunction and early ageing. It also aims to connect SD-induced loss in the number of dendritic spines and their effects on alterations in synaptic plasticity, cognitive disabilities and early vascular ageing based on data available in scientific literature. To the best of our knowledge, this is the first article providing a pathophysiological basis to link SD to brain vascular ageing.

Call to action regarding the vascular-bipolar link: A report from the Vascular Task Force of the International Society for Bipolar Disorders

OBJECTIVES

The association of bipolar disorder with early and excessive cardiovascular disease was identified over a century ago. Nonetheless, the vascular-bipolar link remains underrecognized, particularly with regard to how this link can contribute to our understanding of pathogenesis and treatment.

METHODS

An international group of experts completed a selective review of the literature, distilling core themes, identifying limitations and gaps in the literature, and highlighting future directions to bridge these gaps.

RESULTS

The association between bipolar disorder and vascular disease is large in magnitude, consistent across studies, and independent of confounding variables where assessed. The vascular-bipolar link is multifactorial and is difficult to study given the latency between the onset of bipolar disorder, often in adolescence or early adulthood, and subsequent vascular disease, which usually occurs decades later. As a result, studies have often focused on risk factors for vascular disease or intermediate phenotypes, such as structural and functional vascular imaging measures. There is interest in identifying the most relevant mediators of this relationship, including lifestyle (eg, smoking, diet, exercise), medications, and systemic biological mediators (eg, inflammation). Nonetheless, there is a paucity of treatment studies that deliberately engage these mediators, and thus far no treatment studies have focused on engaging vascular imaging targets.

CONCLUSIONS

Further research focused on the vascular-bipolar link holds promise for gleaning insights regarding the underlying causes of bipolar disorder, identifying novel treatment approaches, and mitigating disparities in cardiovascular outcomes for people with bipolar disorder.

Late bedtime and dental caries incidence in Kuwaiti children: A longitudinal multilevel analysis

OBJECTIVE

Inadequate sleep contributes to several adverse systemic health outcomes due to hormonal and metabolic disorders. The purpose of this study was to determine the effect of bedtime on the development of dental caries and the relationship with salivary ghrelin and leptin in a prospective cohort study of Kuwaiti children.

METHODS

Data were collected from 5456 10-year-old children in 2012 and repeated in 2014. We selected children from 138 middle schools representing the six governorates of Kuwait. We derived data from oral examinations, self-reported sleep interviews, body and weight measurements, and chemical analysis of whole saliva samples. Leptin and ghrelin were determined by salivary assay in a subset of 744. Two separate analyses were performed. a) Using the entire longitudinal data set (n = 5456), multilevel random intercept analysis was conducted to assess the relationship between reported bedtime and dental caries. b) Using data from a subset of the original sample (n = 744), multiple linear regression analysis was conducted to determine the relationship between dental caries and salivary ghrelin and leptin. The outcome variable was the development of dental caries in children. The independent explanatory variables and confounders were bedtime, sleep duration, salivary ghrelin and leptin; confounders assessed were gingivitis, sex, age and governorate (school location).

RESULTS

With every additional hour past 8 pm for bedtime, there was a 20% increase in dental caries incidence over two years (B = 0.2, P = .01), adjusting for age, gender, gingivitis and governorate. There was a significant difference in the magnitude of dental caries between the six governorates of Kuwait. Lower levels of salivary leptin and higher levels of salivary ghrelin were associated with increased dental caries, and sleep duration was an effect modifier that negatively affected the relationship between leptin and dental caries (B = -0.09, P < .05) and positively affects the relationship between ghrelin and dental caries (B = 0.07, P < .05). Additionally, there was a significant clustering effect within schools in this cohort.

CONCLUSION

In a cohort study of Kuwaiti children, late bedtime was associated with increased dental caries incidence. Additionally, dental caries experience increased with higher levels of salivary ghrelin and lower levels of salivary leptin, and sleep duration mediates the relationship between these two biomarkers and dental caries.

Prevalence and lifestyle-related risk factors of obesity and unrecognized hypertension among bus drivers in Ghana

Obesity and hypertension are public health problems associated with cardiovascular events worldwide. Bus drivers, whose lifestyle is primarily sedentary and characterized by poor eating habits are at increased risk. This study determined the prevalence and lifestyle-related risk factors of obesity and hypertension among Inter-Regional Metromass Bus Drivers (IRMBDs) in Ghana. This cross-sectional study recruited 527 professional drivers from Metromass Bus stations in Accra and Kumasi Metropolis, Ghana. Structured questionnaires were administered to obtain socio-demographic and lifestyle characteristics from all participants. Anthropometric measurements including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and blood pressure (BP) were determined. The prevalence of unrecognized hypertension was 38.7%. The prevalence of obesity using BMI, WC, and WHR as obesity indices were 19.0%, 19.9%, and 19.4%, respectively. Use of sleep inhibitors, long-duration sitting and eating late at night were independent risk factors for obesity, regardless of the obesity index used (p < 0.05). Physical inactivity, high caloric intake and eating at stressful periods were independent risk factors for obesity based on WC and WHR measurements (p < 0.05). Ageing, smoking history, alcoholic beverage intake, sleep inhibitor drug use, high calorie intake, long-duration sitting, eating late and under stressful conditions were independent risk factors for hypertension (p < 0.05). There is a high prevalence of unrecognized hypertension and obesity among IRMBDs which were associated with individual lifestyle and behaviours. Increased awareness through educational and screening programs will trigger lifestyle modifications that will reduce cardio-metabolic disease onset and offer clues for better disease predictive, preventive and personalized medicine.

The Quality, Quantity, and Intraindividual Variability of Sleep Among Students and Student-Athletes

BACKGROUND

Student-athletes are subject to significant demands due to their concurrent sporting and academic commitments, which may affect their sleep. This study aimed to compare the self-reported sleep quality, quantity, and intraindividual variability (IIV) of students and student-athletes through an online survey.

HYPOTHESIS

Student-athletes will have a poorer sleep quality and quantity and experience more IIV.

STUDY DESIGN

Case-control study.

LEVEL OF EVIDENCE

Level 4.

METHODS

Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while sleep quantity and IIV were assessed using the Consensus Sleep Diary. Initially, the PSQI and additional questions regarding sport participation habits were completed by 138 participants (65 students, 73 student-athletes). From within this sample, 44 participants were recruited to complete the sleep diary for a period of 14 days.

RESULTS

The mean PSQI score was 6.89 ± 3.03, with 65% of the sample identified as poor sleepers, but no difference was observed between students and student-athletes. Analysis of sleep patterns showed only possibly to likely small differences in sleep schedule, sleep onset latency, and subjective sleep quality between groups. IIV analysis showed likely moderate to possibly small differences between groups, suggesting more variable sleep patterns among student-athletes.

CONCLUSION

This study highlights that sleep issues are prevalent within the university student population and that student-athletes may be at greater risk due to more variable sleep patterns.

CLINICAL RELEVANCE

University coaches should consider these results to optimize sleep habits of their student-athletes.

Wavelet-Based Analysis of Physical Activity and Sleep Movement Data from Wearable Sensors among Obese Adults

Decreased physical activity in obese individuals is associated with a prevalence of cardiovascular and metabolic disorders. Physicians usually recommend that obese individuals change their lifestyle, specifically changes in diet, exercise, and other physical activities for obesity management. Therefore, understanding physical activity and sleep behavior is an essential aspect of obesity management. With innovations in mobile and electronic health care technologies, wearable inertial sensors have been used extensively over the past decade for monitoring human activities. Despite significant progress with the wearable inertial sensing technology, there is a knowledge gap among researchers regarding how to analyze longitudinal multi-day inertial sensor data to explore activities of daily living (ADL) and sleep behavior. The purpose of this study was to explore new clinically relevant metrics using movement amplitude and frequency from longitudinal wearable sensor data in obese and non-obese young adults. We utilized wavelet analysis to determine movement frequencies on longitudinal multi-day wearable sensor data. In this study, we recruited 10 obese and 10 non-obese young subjects. We found that obese participants performed more low-frequency (0.1 Hz) movements and fewer movements of high frequency (1.1–1.4 Hz) compared to non-obese counterparts. Both obese and non-obese subjects were active during the 00:00–06:00 time interval. In addition, obesity affected sleep with significantly fewer transitions, and obese individuals showed low values of root mean square transition accelerations throughout the night. This study is critical for obesity management to prevent unhealthy weight gain by the recommendations of physical activity based on our results. Longitudinal multi-day monitoring using wearable sensors has great potential to be integrated into routine health care checkups to prevent obesity and promote physical activities.