Sleep Duration and Diabetes Risk: Population Trends and Potential Mechanisms

Cardio-metabolic health and sleep quality in adults at risk for Type 2 Diabetes using the Fos Biomedical Non-Transdermal Patch System via photo-biomodulation: A randomized, placebo-controlled crossover trial

Background

The impact of the Fos Biomedical non-transdermal patch system (NTPS) that stimulates the skin with low light levels to generate photo-biomodulation (PBM) effects on cardio-metabolic health and sleep quality is unclear. We examined the impact of FBPS compared with placebo on cardio-metabolic risk and sleep quality in persons at risk for type 2 diabetes mellitus (T2DM).

Methods

The study was a randomized, controlled, double-blind, crossover trial of 39 adults (mean age 64.4 years; 28 women, 11 men; 38 Caucasians, 1 African American) at risk for T2DM assigned to one of two possible sequence permutations of two treatments (Fos Biomedical NTPS and placebo), with an 8-week washout period. Fos Biomedical NTPSs are designed to stimulate the skin with low light levels to produce PBM effects. Participants were instructed to apply the active or placebo patches above and below the belly button for 12 h each day for 12 weeks. Primary outcome measure was glycated hemoglobin (HbA1c). Secondary outcome measures included insulin sensitivity, lipid profile, blood pressure, body composition, C-reactive protein, endothelial function, and sleep quality.

Results

Compared with the placebo, the Fos Biomedical NTPS did not improve glycemic control: HbA1c (0.1 ± 0.2 % vs. 0.1 ± 0.2 %; p = 0.5154). Compared with placebo, Fos Biomedical NTPS reduced endothelial function (-1.7 ± 12.1 % vs. 3.9 ± 10.0 %; p = 0.0344) while other markers of cardiovascular risk (i.e., body composition, blood pressure, lipid profile, and inflammatory biomarker) and sleep quality were unaffected (p > 0.05).

Conclusions

Photo-biomodulation generated from Fos Biomedical NTPS did not improve biomarkers of cardio-metabolic risk and sleep quality among those at risk for T2DM.

Clinical trial registration number

NCT05628597.

Accuracy of Smartphone-Mediated Snore Detection in a Simulated Real-World Setting: Algorithm Development and Validation

Background

High-quality sleep is essential for both physical and mental well-being. Insufficient or poor-quality sleep is linked to numerous health issues, including cardiometabolic diseases, mental health disorders, and increased mortality. Snoring-a prevalent condition-can disrupt sleep and is associated with disease states, including coronary artery disease and obstructive sleep apnea.

Objective

The SleepWatch smartphone app (Bodymatter, Inc) aims to monitor and improve sleep quality and has snore detection capabilities that were built through a machine-learning process trained on over 60,000 acoustic events. This study evaluated the accuracy of the SleepWatch snore detection algorithm in a simulated real-world setting.

Methods

The snore detection algorithm was tested by using 36 simulated snoring audio files derived from 18 participants. Each file simulated a snoring index between 30 and 600 snores per hour. Additionally, 9 files with nonsnoring sounds were tested to evaluate the algorithm's capacity to avoid false positives. Sensitivity, specificity, and accuracy were calculated for each test, and results were compared by using Bland-Altman plots and Spearman correlation to assess the statistical association between detected and actual snores.

Results

The SleepWatch algorithm showed an average sensitivity of 86.3% (SD 16.6%), an average specificity of 99.5% (SD 10.8%), and an average accuracy of 95.2% (SD 5.6%) across the snoring tests. The positive predictive value and negative predictive value were 98.9% (SD 2.6%) and 93.8% (SD 14.4%) respectively. The algorithm performed exceptionally well in avoiding false positives, with a specificity of 97.1% (SD 3.5%) for nonsnoring files. Inclusive of all snoring and nonsnore tests, the aggregated accuracy for all trials in this bench study was 95.6% (SD 5.3%). The Bland-Altman analysis indicated a mean bias of -29.8 (SD 41.7) snores per hour, and the Spearman correlation analysis revealed a strong positive correlation (rs=0.974; P<.001) between detected and actual snore rates.

Conclusions

The SleepWatch snore detection algorithm demonstrates high accuracy and compares favorably with other snore detection apps. Aside from its broader use in sleep monitoring, SleepWatch demonstrates potential as a tool for identifying individuals at risk for sleep-disordered breathing, including obstructive sleep apnea, on the basis of the snoring index.

Mapping the Neural Basis of Wake Onset Regularity and Its Effects on Sleep Quality and Positive Affect

The regularity of sleep-wake cycles is a defining characteristic of normative sleep patterns that are typically associated with proper circadian rhythmicity. The previous literature indicates that consistent patterns of sleep and wake are associated with improved sleep quality and cognitive functioning. Conversely, sleep irregularity has been associated with reduced well-being and inefficiency in resting-state neural networks. This study investigated the relationship between specific sleep regularity measures and outcomes, including emotional affect, sleep quality, and resting-state functional connectivity. We found that variability in wake onset predicted poorer sleep quality and reduced positive affect. Furthermore, sleep regularity measures were associated with altered functional connectivity between the posterior cingulate cortex and regions involved in emotional processing. We propose that alterations in default mode network (DMN) connectivity linked to sleep irregularity reflect disruptions in emotional processing and sleep quality.

Use of a wearable device to improve sleep quality

Objectives

The present study aimed to analyze the effects of the use of a digital wellness device on improving sleep through reducing environmental noise.

Methods

Fifty-five self-reported light or moderate sleepers with difficulty falling or staying asleep due to environmental noise participated in the study. Objective sleep architecture data were collected via a wireless electroencephalogram (EEG) sleep monitor and subjective data were obtained through analysis of daily sleep diaries and responses to study-specific user experience surveys. Four primary outcomes specified a priori were analyzed for statistical significance: objectively measured sleep onset latency (SOL), wake after sleep onset (WASO), number of awakenings, and perceived SOL. Exploratory analysis through descriptive statistics was conducted for an additional 36 secondary outcomes.

Results

Use of the digital wellness device was associated with reduced SOL both objectively and subjectively. Perceived SOL was 32.5% reduced (p < 0.001, difference in means 7.5 min, 95% CI 22.3%-41.4% faster), and objectively measured SOL was 13.3% reduced (p = 0.030, difference in means 2.7 min, 95% CI = 1.4%-23.8% faster). No statistically significant differences were found for other primary outcomes. Among the subjective secondary outcomes, 100% of participants felt the device blocked environmental noise, 86% reported falling asleep more easily, 76% felt they stayed asleep longer, and 82% felt overall sleep quality was improved. No differences were observed among objectively measured secondary outcomes.

Conclusions

Participants fell asleep faster when using the wearable wellness device. Participants also perceived sleep quality improvements with the intervention, although no objective differences were measured. These findings show promise for using noise-masking digital wellness devices in noisy environments to improve sleep quality.

Characterising the activity, lifestyle behaviours and health outcomes of UK university students: an observational cohort study with a focus on gender and ethnicity

BACKGROUND

Health-related outcomes and behaviours in university students are known to be poor relative to the general population. The substantial contextual shifts related to the COVID-19 pandemic, combined with increased numbers of students from minoritised ethnicity backgrounds and presenting as trans and gender diverse (TGD), means that up-to-date information is unavailable. The primary aim of this study was therefore to characterise the current movement, dietary and lifestyle behaviours, mental health, and Body Mass Index (BMI) of UK university students and assess differences between genders and ethnic groups.

METHODS

An online, self-report survey was administered across three years (2021-2023). Three independent cohorts of university students' (n = 6,327) completed the survey on four key topic areas. One-way ANOVAs were used to assess differences between genders (men, women, TGD), and independent samples t-tests were used to assess differences between ethnic groups (White, Minoritised Ethnicity).

RESULTS

30% of students were not meeting physical activity guidelines, 54% were sedentary for ≥ 6 h·d- 1, 83% had poor diet quality, 51% were in high or increased risk groups for alcohol consumption, 18% experienced terrible or poor sleep quality, and 32% were overweight or obese. Gender differences were present for all variables other than walking physical activity (WPA) (P < 0.05), with men having better mental health and engaging in healthier movement and sleeping behaviours, whereas women had more healthful dietary and drinking behaviours, and TGD students had poorer outcomes compared to cis-gender students in most domains. Differences between White and minoritised ethnicity students were present for all variables other than sedentary behaviour, diet quality, WPA and BMI (P < 0.05); students of minoritised ethnicity engaged in better movement, drinking and sleep behaviours in addition to having more positive mental health than White students.

CONCLUSION

The findings of the current study provide an update on the landscape of UK university students' health and health-related behaviours. Overall, health-related outcomes and behaviours are poor in this population and these data suggest that gender and ethnicity play a role in determining students' health and health-related behaviours. Therefore, these factors should be considered when developing strategies to promote healthy living in the context of higher education.

Association of the Korean Healthy Eating Index and sleep duration with prediabetes in middle-aged adults

BACKGROUND/OBJECTIVES

Sleep duration and diet quality are reportedly associated with the risk of diabetes. This study aimed to examine the risk of diabetes according to sleep duration and diet quality in middle-aged Koreans.

SUBJECTS/METHODS

Using the Korea National Health and Nutrition Examination Survey 2019-2020, raw data from 2,934 participants aged 40-64 yrs (1,090 men and 1,844 women) who were not diagnosed with type 2 diabetes were analyzed. With a sleep duration of 7-7.9 h per night as the referent category, diet quality was assessed using the Korean Healthy Eating Index (KHEI), which comprises adequacy, moderation, and energy balance.

RESULTS

The study results showed that individuals with a short sleep duration had significantly higher blood glucose (P = 0.034) and HbA1c levels (P < 0.001) than those had by individuals with a sleep duration of 7-7.9 h. Within the group with a sleep duration of 7-7.9 h, the lowest quintile of the KHEI score had a significantly higher risk of prediabetes than that had by the highest quintile of the KHEI score (Model 1: odds ratio [OR], 1.775; 95% confidence interval [CI], 1.072-2.939; P < 0.05 and Model 2: OR, 1.731; 95% CI, 1.040-2.882; P < 0.05).

CONCLUSION

Our findings suggest that achieving the sleep duration of 7-7.9 h and eating good diet are associated with the lowest risk of prediabetes. We recommend that the results of this study be used to educate adults aged 40-64 yrs on diet and lifestyle habits to prevent diabetes.

Sleep Deficiency: Epidemiology and Effects

Adequate sleep is an important pillar of physical and mental health. Sleep deficiency, resulting from short sleep or suboptimal sleep quality, is highly prevalent in modern society. Occupation, social demands, psychiatric disorders, physical disorders, and sleep disorders are some of the contributing factors to sleep deficiency. Some populations are at increased risk of sleep deficiency based on ethnicity, age, marital status, sex, and hospitalization. Sleep deficiency influences cognition, alertness, mood, behavior, diabetes, cardiovascular health, renal function, immune system, and respiratory physiology. This review summarizes the epidemiology and effects of sleep deficiency.

Prevalence of sleep disturbance and its associated factors among diabetes type-2 patients in Saudi Arabia

Introduction

This study investigated the prevalence of sleep disturbances among people living with type 2 diabetes in Saudi Arabia.

Methods

A four-stage sampling method was used to recruit 479 participants from various parts of the country. A self-administered questionnaire was used to collect demographic, sleep disruption, and related clinical characteristics. Data analysis included reporting sleep disturbance prevalence as frequency and percentage, chi-square tests to examine categorical variable associations, and multiple logistic regression analysis to identify independent factors associated with sleep disturbances.

Results

The data showed that most participants were male (59.3%), married (78.5%), and Diploma/ Bachelor's degree holders (41.5%). The study found that most respondents had subjective sleep quality issues, with 55.3% of Sleep Latency participants having trouble falling asleep, 62.4% having trouble sleeping, 65.1% experiencing serious sleep efficiency impairment, 85.2% reporting sleep difficulties, 88.5% using sleep medication without difficulty, 5.4% having moderate difficulty, and 6.1% having considerable difficulties. The Global Pittsburgh Sleep Quality Index (PSQI) showed that all participants had sleep problems. Marital status, nationality, HBA1C, education, region, comorbidity, and monthly income were significantly associated with sleep disturbance characteristics.

Conclusion

The study concluded that diabetes itself can increase the risk of sleep problems, as it is associated with various sleep-related issues such as insomnia, sleep apnea, and restless legs syndrome. Encouraging social support within the realm of healthcare services holds significance in reducing the occurrence of inadequate sleep. For individuals diagnosed with type 2 diabetes mellitus, managing their blood sugar levels effectively is crucial for enhancing the quality of their sleep. Furthermore, engaging in regular physical activity is essential for preventing subpar sleep quality.

Disruption of the peripheral biological clock may play a role in sleep deprivation-induced dysregulation of lipid metabolism in both the daytime and nighttime phases

STUDY OBJECTIVES

This study aimed to examine the effect of sleep deprivation (SD) on lipid metabolism or lipid metabolism regulation in the liver and white adipose tissue (WAT) during the light and dark phases and explored the possible mechanisms underlying the diurnal effect of SD on lipid metabolism associated with clock genes.

METHODS

Male C57BL/6J mice aged 2 months were deprived of sleep daily for 20 h for ten consecutive days with weakly forced locomotion. The body weights and food consumption levels of the SD and control mice were recorded, and the mice were then sacrificed at ZT (zeitgeber time) 2 and ZT 14. The peripheral clock genes, enzymes involved in fat synthesis and catabolism in the WAT, and melatonin signalling pathway-mediated lipid metabolism in the liver were assessed. Untargeted metabolomics and tandem mass tag (TMT) proteomics were used to identify differential lipid metabolism pathways in the liver.

RESULTS

Bodyweight gain and daily food consumption were dramatically elevated after SD. Profound disruptions in the diurnal regulation of the hepatic peripheral clock and enzymes involved in fat synthesis and catabolism in the WAT were observed, with a strong emphasis on hepatic lipid metabolic pathways, while melatonin signalling pathway-mediated lipid metabolism exhibited moderate changes.

CONCLUSIONS

In mice, ten consecutive days of SD increased body weight gain and daily food consumption. In addition, SD profoundly disrupted lipid metabolism in the WAT and liver during the light and dark periods. These diurnal changes may be related to disorders of the peripheral biological clock.

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

BACKGROUND/OBJECTIVES

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

METHODS

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

RESULTS

Overall, 3 trials met the inclusion criteria for blood pressure, 4 for glycemic control, 9 for overweight/obesity, and 2 for smoking. On meta-analysis, interventions with sleep as the sole behavioral target were associated with a significant reduction in hemoglobin A 1c % (-0.84; 95% confidence interval [CI], -1.34 to -0.34), but not a significant reduction in systolic blood pressure (-0.18; 95% CI, -0.55 to 0.20) versus controls. In addition, any interventions with sleep as a behavioral target were associated with significant reductions in hemoglobin A 1c % (-0.71; 95% CI, -1.01 to -0.42) and weight (-0.78; 95% CI, -1.11 to -0.45), but not systolic blood pressure (-0.72; 95% CI, -1.82 to 0.37). Trials evaluating smoking status were not amenable to meta-analysis.

CONCLUSION

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

A narrative review of lifestyle management guidelines for metabolic dysfunction-associated steatotic liver disease

BACKGROUND AND AIMS

Metabolic dysfunction-associated steatotic liver disease management guidelines have been published worldwide; we aimed to summarize, categorize, and compare their lifestyle intervention recommendations.

APPROACH AND RESULTS

We searched metabolic dysfunction-associated steatotic liver disease/NAFLD management guidelines published between January 1, 2013, and June 31, 2024, through databases including PubMed/MEDLINE, Cochrane, and CINAHL. In total, 35 qualifying guidelines were included in the final analysis. Guideline recommendations were categorized into 5 domains (ie, weight reduction goals, physical activity, nutrition, alcohol, and tobacco smoking) and were ranked based on how frequently they appeared. A recommendation was defined as widely adopted if recommended in ≥24 (≥66.6%) of the guidelines. These included increasing physical activity; reducing body weight by 7%-10% to improve steatohepatitis and/or fibrosis; restricting caloric intake; undertaking 150-300 or 75-150 minutes/week of moderate or vigorous-intensity physical activity, respectively; and decreasing consumption of commercially produced fructose. The least mentioned topics, in ≤9 of the guidelines, evaluated environmental determinants of health, mental health, referring patients for psychological or cognitive behavioral therapy, using digital health interventions, and assessing patients' social determinants of health.

CONCLUSIONS

Most guidelines recommend weight reduction through physical activity and improving nutrition, as these have proven positive effects on health outcomes when sustained. However, gaps regarding mental health and the social and environmental determinants of metabolic dysfunction-associated steatotic liver disease were found. To optimize behavioral modifications and treatment, we recommend carrying out studies that will provide further evidence on social support, environmental factors, and mental health, as well as further exploring digital health interventions.

A pilot study to assess the feasibility and uptake of MindDEC, a mindfulness-based self-management course for type 2 diabetes

OBJECTIVE

The study aimed to investigate the feasibility of a remote mindfulness based self-management intervention for individuals with type 2 diabetes. It is important to further our understanding of how to improve self-management to improve health outcomes and low levels of uptake to self-management courses.

METHOD

29 participants with type 2 diabetes were recruited from the University Hospital Coventry and Warwickshire NHS trust. Three groups of participants engaged with a remote mindfulness based self-management intervention, which were delivered sequentially. After each intervention was complete, patient feedback was retrieved and implemented into the following intervention. The quantitative analysis comprised of descriptive statistics, independent sample t-test, paired sample t-test and multiple regression analysis. A qualitative analysis was also conducted through reflexive thematic analysis (RTA) to understand participant's perspective on the intervention.

RESULTS

There was a total of 17 who attended the course (59 %) and a total drop out of 12 participants over the three courses (41 %). The qualitative findings reported three main themes: (1) Eating to manage my emotions rather than my diabetes (2) Implementing mindfulness has helped me manage my emotions (3) Medication rather than self-management behaviours control my diabetes. The focus group feedback included participants' appreciation of the community aspect of the intervention and their perception that the current course was more interactive compared to previous interventions. In addition, participants highlighted the importance of offering the course at an earlier stage of diagnosis to provide further support at the beginning of their diabetes journey. No significant findings were reported for the independent sample t-test, paired sample t-test and multiple regression analysis.

CONCLUSION

The qualitative findings suggested that the course was beneficial, especially in demonstrating how mindfulness could aid self-management for individuals living with type 2 diabetes. Further funding and trials are warranted to improve the quality of technology used and to assess impact on diabetes control and mental health.

Association between nighttime sleep duration, midday napping, and sleep quality during early pregnancy and risk of gestational diabetes mellitus: A prospective cohort study in China

AIM

To evaluate the prospective associations of nighttime sleep duration, midday napping, and sleep quality during early pregnancy with gestational diabetes mellitus (GDM) risk among Chinese pregnant women.

METHODS

Sleep-related information was assessed by the Pittsburgh Sleep Quality Index in baseline surveys during the 6-15 (mean 10.3) gestational weeks. GDM was diagnosed during 24-28 gestational weeks according to the Chinese Guidelines on Diagnosis and Management of Hyperglycemia in Pregnancy (2022). Multivariable logistic regression models with adjustments for socio-demographic and lifestyle factors were used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) for the associations of sleep traits with GDM risk.

RESULTS

We identified 503 incident GDM cases among 6993 participants. Compared with women who slept for 7-9 hours/night in early pregnancy, those who slept <7 hours/night showed a higher risk of GDM (OR, 1.75; 95 % CI: 1.20-2.54), whereas those who slept >9 hours/night showed no significant association for GDM risk (OR, 1.01; 95 % CI: 0.78-1.30). Compared with women with absolutely no napping, those with ≤60 and > 60 min/day midday napping showed no significant association for GDM risk (OR, 0.82; 95 % CI: 0.64-1.05 for ≤60 min/day midday napping; OR, 0.87; 95 % CI: 0.66-1.15 for >60 min/day midday napping). Poor sleep quality was not associated with GDM risk compared with good quality (OR, 0.90; 95 % CI: 0.72-1.12).

CONCLUSION

A short nighttime sleep duration during early pregnancy was associated with a higher risk of GDM, which was independent of midday napping, sleep quality and lifestyle factors.

Association of Birthplace for Sleep Duration, Sleep Quality, and Sleep Disorder Symptoms, at the US-Mexico Border

OBJECTIVES

The present study investigated the roles birthplace and acculturation play in sleep estimates among Hispanic/Latino population at the US-Mexico border.

MEASURES

Data were collected in 2016, from N = 100 adults of Mexican descent from the city of Nogales, AZ, at the US-Mexico border. Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index categorized as none, mild, moderate, and severe, and Multivariable Apnea Prediction Index (MAP) categorized as never, infrequently, and frequently. Acculturation was measured with the Acculturation Rating Scale for Mexican-Americans II (ARSMA-II).

RESULTS

The sample consisted of majority Mexican-born (66%, vs. born in the USA 38.2%). Being born in the USA was associated with 55 fewer minutes of nighttime sleep (p = .011), and 1.65 greater PSQI score (p = .031). Compared to no symptoms, being born in the USA was associated with greater likelihood of severe difficulty falling asleep (OR = 8.3, p = .030) and severe difficulty staying asleep (OR = 11.2, p = .050), as well as decreased likelihood of breathing pauses during sleep (OR = 0.18, P = .020). These relationships remained significant after Mexican acculturation was entered in these models. However, greater Anglo acculturation appears to mediate one fewer hour of sleep per night, poorer sleep quality, and reporting of severe difficulty falling asleep and staying asleep.

CONCLUSIONS

Among individuals of Mexican descent, being born in the USA (vs Mexico) is associated with about 1 hour less sleep per night, worse sleep quality, more insomnia symptoms, and less mild sleep apnea symptoms. These relationships are influenced by acculturation, primarily the degree of Anglo rather than the degree of Mexican acculturation.

The Impact of Sleep on Haematological Parameters in Firefighters

Sleep is a vital process that impacts biological functions such as cell renewal, bone regeneration, and immune system support. Disrupted sleep can interrupt erythropoiesis, leading to fewer red blood cells, reduced haemoglobin concentration, and decreased haematocrit levels, potentially contributing to haematological disorders. This is particularly concerning for shift workers for example firefighters. While previous studies have explored sleep's adverse effects on various professions, research specific to firefighters is limited. This study investigates the relationship between sleep quality and haematological parameters among firefighters in Northeast Portugal. From a sample of 201 firefighters, variations in red blood cells, haemoglobin, and haematocrit values were linked to sleep quality. The study utilised non-parametric tests (Wilcoxon-Mann-Whitney, Spearman's correlation) to explore the connection between sleep quality and haematological profile. The impact of covariates on haematological parameters was assessed using non-parametric ANCOVA (Quade's). A multiple regression analysis was employed to further understand how sleep quality and various confounding variables impact haematological levels. Findings suggest a negative link between sleep quality and haematological levels, meaning that as sleep quality deteriorates, there is a tendency for haematological levels to decrease, as indicated by Spearman's correlation (rRBC = -0.157, pRBC = 0.026; rHb = -0.158, pHb = 0.025; rHCT = -0.175, pHCT = 0.013). As observed in scientific literature, the correlation found suggests a possible inhibition of erythropoiesis, the process responsible for red blood cell production. Despite firefighters presenting a haematological profile within the reference range (RBC: 5.1 × 106/mm3 (SD ± 0.4), Hb: 15.6 g/dL (SD ± 1.3), 47% (SD ± 1.0), there is already an observable trend towards lower levels. The analysis of co-variables did not reveal a significant impact of sleep quality on haematological levels. In conclusion, this study underscores the importance of sleep quality in determining haematological parameters among firefighters. Future research should investigate the underlying mechanisms and long-term implications of poor sleep quality on firefighter health. Exploring interventions to enhance sleep quality is vital for evidence-based strategies promoting firefighter well-being.

Restricted linear association between night sleep duration and diabetes risk in middle-aged and older adults: a 7-year follow-up analysis from the China health and retirement longitudinal study

Background

A rapid increase in the prevalence of diabetes is an urgent public health concern among older adults, especially in developing countries such as China. Despite several studies on lifestyle factors causing diabetes, sleep, a key contributor, is understudied. Our study investigates the association between night sleep duration and diabetes onset over a 7-year follow-up to fill information gaps.

Method

A population-based cohort study with 5437 respondents used 2011-2018 China Health and Retirement Longitudinal Study data. Using self-reported night sleep duration from the 2011 baseline survey, information on new-onset diabetes was collected in follow-up surveys. Baseline characteristics of participants with vs. without new-onset diabetes were compared using Chi-square and Mann-Whitney U tests. Multivariable Cox regression models estimated the independent relationship between night sleep and new-onset diabetes. The addictive Cox regression model approach and piece-wise regression described the nonlinear relationship between night sleep and new-onset diabetes. Subgroup analysis was also performed by age, gender, body measurement index, dyslipidemia, drinking status, smoking, hypertension, and afternoon napping duration.

Result

549 respondents acquired diabetes during a median follow-up of 84 months. After controlling for confounders, night sleep duration was substantially linked with new-onset diabetes in the multivariable Cox regression model. The risk of diabetes is lower for respondents who sleep longer than 5 hours, except for those who sleep over 8 hours [5.1-6h Hazard ratios (HR) [95% confidence intervals (CI)] = 0.71 (0.55, 0.91); 6.1-7h HR = 0.69 (0.53, 0.89); 7.1-8h HR = 0.58 (0.45, 0.76)]. Nonlinear connections were delineated by significant inflection points at 3.5 and 7.5 hours, with a negative correlation observed only between these thresholds. With one hour more night sleep, the risk of diabetes drops 15%. BMI and dyslipidemia were identified as modifiers when only consider the stand linear effect of sleep duration on diabetes.

Conclusion

This study establishes a robust association between night sleep and new-onset diabetes in middle-aged and older Chinese individuals within the 3.5-7.5-hour range, offering a foundation for early glycemic management interventions in this demographic. The findings also underscore the pivotal role of moderate night sleep in preventing diabetes, marking a crucial juncture in community medical research.

The association of self-reported sleep and circadian measures with glycemic control and diabetes complications among young adults with type 2 diabetes

We aim to examine the association of sleep duration, sleep quality, late chronotype, and circadian misalignment with glycemic control and risk of complications in young adults with youth-onset type 2 diabetes followed in the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study. Self-reported sleep duration, quality, timing, and circadian misalignment were assessed via a modified Pittsburgh Sleep Quality Index (PSQI) questionnaire, and chronotype was assessed via the Morningness-Eveningness Questionnaire (MEQ). We examined diabetes complications including loss of glycemic control (defined as hemoglobin A1c ≥8%), hypertension, dyslipidemia, albuminuria, and diabetic peripheral neuropathy. Multivariable logistic regression models were constructed to assess associations between sleep and circadian measures with outcomes of interest, such as loss of glycemic control and diabetes complications. A total of 421 participants (34.2% male), mean age 23.6 ± 2.5 yr, mean body mass index (BMI) of 36.1 ± 8.3 kg/m2, and mean diabetes duration of 10.0 ± 1.5 yr were evaluated. Self-reported short sleep duration, daytime sleepiness, and sleep quality were not associated with loss of glycemic control or diabetes complications. Late self-reported bedtime (after midnight) on work/school nights, rather than self-expressed chronotype or circadian misalignment, was independently associated with loss of glycemic control. An association was seen between late bedtimes and albuminuria but was attenuated after adjusting for depression. In conclusion, late bedtime on work/school days, rather than short sleep duration, daytime sleepiness, or poor sleep quality, was independently associated with loss of glycemic control in this longitudinal cohort of young adults with youth-onset type 2 diabetes.NEW & NOTEWORTHY The prevalence of type 2 diabetes in youth is increasing at an alarming rate. Identifying potentially modifiable factors modulating glycemic control is critically important to reduce micro and macrovascular complications. In a large cohort of youth-onset type 2 diabetes, self-reported late bedtime on work/school days was independently associated with loss of glycemic control in this longitudinal cohort of young adults with youth-onset type 2 diabetes.

Effects of sleep quality in early pregnancy on pregnancy outcomes and mood state

PURPOSE

To clarify the relationship between quality of sleep and pregnancy outcomes and to explore how sleep quality affects mood state in the first trimester of pregnancy.

METHODS

This prospective cohort study enrolled pregnant women from June 2020 to June 2021. Maternal sleep conditions, daytime sleepiness, and mood state in the first trimester were assessed using four Chinese self-rating scales, namely, the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Practice Scale (SHPS), Epworth Sleepiness Scale (ESS), and the abbreviated version of the Profile of Mood States (a-POMS). Participants were divided into an exposed group (PSQI score > 5, poor sleep quality group) and a non-exposed group (PSQI score ≤ 5, good sleep quality group). Maternal characteristics, pregnancy outcomes, and the relationship among sleep quality, sleepiness, and mood state were analyzed. Comparisons of sleep hygiene behavior variables between the two subgroups were also analyzed.

RESULTS

A total of 2703 pregnant women were enrolled in the study. Poor sleep quality increased the probability of gestational diabetes mellitus (GDM) (1.573, 1.315-1.863), liver function damage (1.467, 1.021-2.107), preterm delivery (1.468, 1.077-2.002), mild sleepiness (1.612, 1.357-1.915), and excessive sleepiness (2.134, 1.686-2.701). Poor maternal sleep quality was significantly associated with the occurrence of preterm premature rupture of membranes (1.947, 1.168-3.243) and perinatal death (1.003, 1.000-1.006). Additionally, a significant positive correlation between the PSQI score and the total mood disturbance (TMD) score was revealed by Spearman's correlation analysis (r = 0.378, P < 0.01). Enter Regression analysis demonstrated that sleep quality (R2 = 0.390, P < 0.01) and sleepiness (R2 = 0.234, P < 0.01) exerted significant direct effects on mood state during pregnancy. Furthermore, Spearman's correlation analysis indicated a positive association between the PSQI score and the SHPS total score (r = 0.227, P < 0.01).

CONCLUSIONS

Poor sleep quality is significantly associated with elevated rates of maternal mood disturbances, obstetric complications, and adverse outcomes in infants. The findings suggest that it may be useful to provide comprehensive sleep assessment and education on sleep hygiene during the early stages of pregnancy.

Depressive disorder subtypes, depressive symptom clusters, and risk of obesity and diabetes: A systematic review

BACKGROUND

Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk.

METHODS

We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results).

RESULTS

Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null.

LIMITATIONS

Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review.

CONCLUSIONS

Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

Type 2 diabetes and health-related quality of life among older Medicare beneficiaries: The mediating role of sleep

OBJECTIVE

To examine mediating effects of sleep quality and duration on the association between T2D and QoL among Medicare beneficiaries 65+.

METHODS

Data from the Medicare Health Outcome Survey (2015-2020) were used. The outcome was QoL (physical and mental health component-summary scores [PCS and MCS]) measured by the Veterans-Rand-12. The main predictor was diagnosed T2D. Mediators were sleep duration and sleep quality. The effect modifier was race/ethnicity. Structural Equation Modeling was used to estimate moderated-mediating effects of sleep quality and duration across race/ethnicity.

RESULTS

Of the 746,400 Medicare beneficiaries, 26.7% had T2D, and mean age was 76 years (SD ± 6.9). Mean PCS score was 40 (SD ± 12.2), and mean MCS score was 54.0 (SD ± 10.2). Associations of T2D with PCS and MCS were negative and significant. For all racial/ethnic groups, those with T2D reported lower PCS. For White, Black, Asian, and Hispanic beneficiaries only, those with T2D reported lower MCS. The negative impact of T2D on PCS and MCS was mediated through sleep quality, especially very bad sleep quality.

CONCLUSION

Improving sleep may lead to improvement in QoL in elderly adults with T2D.

Ethnic disparities in the prevalence of diabetes and its association with sleep disorder among older adults in rural southwest China

OBJECTIVES

This study aimed to examine ethnic disparities in the prevalence of diabetes and its association with sleep disorders among the older adults Han and ethnic minority (Bai, Ha Ni, and Dai) population in rural southwest China.

METHODS

A cross-sectional survey of 5,642 was conducted among the rural southwest population aged ≥60 years, consisting of a structured interview and measurement of fasting blood glucose, height, weight, and waist circumference. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality.

RESULTS

The overall prevalence of diabetes and sleep disorder was 10.2% and 40.1%, respectively. Bai participants had the highest prevalence of diabetes (15.9%) and obesity (9.9%)(P < 0.01), while Ha Ni participants had the lowest prevalence of diabetes (5.1%) and obesity (3.4%)(P < 0.01). The highest prevalence of sleep disorder (48.4%) was recorded in Bai participants, while Dai participants had the lowest prevalence of sleep disorder (25.6%)(P < 0.01). In all four studied ethnicities, females had a higher prevalence of sleep disorder than males (P < 0.01), and the prevalence of sleep disorder increased with age (P < 0.01). The results of multivariate logistic regression analysis indicated older adults with sleep disorder had a risk of developing diabetes (P < 0.05). Moreover, the higher educational level, family history of diabetes, and obesity were the main risk factors for diabetes in participants (P < 0.01).

CONCLUSION

There are stark ethnic disparities in the prevalence of diabetes and sleep disorders in southwest China. Future diabetes prevention and control strategies should be tailored to address ethnicity, and improving sleep quality may reduce the prevalence of diabetes.

Sleep and Risk of Pancreatic Cancer in the UK Biobank

BACKGROUND

Light at night, which may cause circadian disruption, is a potential pancreatic cancer risk factor. However, evidence from related exposures such as poor sleep health and shift work remains inconclusive and sparsely investigated.

METHODS

We evaluated associations between self-reported typical sleep duration, chronotype, shift work, insomnia symptoms, snoring, and daytime sleeping and pancreatic ductal adenocarcinomas (PDAC) incidence among 475,286 UK Biobank participants. We used Cox proportional hazards models to estimate HRs and 95% confidence intervals (CI) adjusting for age, sex, body mass index, smoking status, duration, and frequency, alcohol intake, diabetes status, race, and employment/shift work.

RESULTS

Over 14 years of follow-up, 1,079 adults were diagnosed with PDAC. There were no associations observed between sleep characteristics, including sleep duration [<7 vs. 7-<9 hours; HR, 1.03; 95% CI, 0.90-1.19; ≥9 hours; HR, 1.00 (0.81-1.24), evening chronotype ("definitely" an evening person vs. "definitely" a morning person; HR, 0.99 (0.77-1.29)], shift work, insomnia symptoms, snoring, or daytime sleep and PDAC risk.

CONCLUSIONS

Self-reported typical sleep characteristics and shift work were not associated with PDAC risk.

IMPACT

Considering the role of light at night and shift work in circadian disruption and cancer risk, it is plausible that poor sleep health among a general population may be related to cancer risk through similar sleep and circadian disrupting processes. This work may suggest that typical sleep characteristics and shift work are not associated with PDAC, although additional work is needed to confirm these findings.

Neighborhood-level sleep health and childhood opportunities

Objectives

Regional sleep differences may reflect other important indicators of health and well-being. Examining sleep health at the regional level can help inform policies to improve population health. We examined the relationship between neighborhood-level adult sleep health (modeled in this study via adult sleep duration) and other health metrics and multiple indicators of child-relevant opportunity.

Methods

Data were obtained from the "500 Cities" data collected by the CDC, including the proportion of the adult population in each tract that report obtaining at least 7 h of sleep. The Child Opportunity Index (COI) provides indices for "education," "health and environment," and "social and economic" domains, as well as a global score. When data were merged, 27,130 census tracts were included. Linear regression analyses examined COI associated with the proportion of the adult population obtaining 7 h of sleep.

Results

Adult sleep duration was associated with global COI, such that for each additional percent of the population that obtains ≥ 7 h of sleep, COI increases by 3.6 points (95%CI[3.57, 3.64]). Each component of COI was separately related to adult sleep duration. All associations were attenuated but significant in adjusted analyses. In stepwise analyses, sleep health via adult sleep duration emerged as the strongest correlate of global COI, accounting for 57.2% of the variance (p < 0.0001). Similarly, when stepwise analyses examined each component of COI as dependent variable, sleep health consistently emerged as the most substantial correlate (all p < 0.0001).

Conclusion

Community levels of sufficient sleep are associated with greater childhood opportunities, which itself is robustly associated with a wide range of health and economic outcomes. Future work can examine whether this association can develop into scalable interventions.

Longitudinal Sleep Patterns and Cognitive Impairment in Older Adults

Importance

Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions, but it remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment.

Objective

To evaluate the association of longitudinal sleep patterns with age-related changes in cognitive function in healthy older adults.

Design, Setting, and Participants

This cross-sectional study is a retrospective longitudinal analyses of the Seattle Longitudinal Study (SLS), which evaluated self-reported sleep duration (1993-2012) and cognitive performance (1997-2020) in older adults. Participants within the SLS were enrolled as part of a community-based cohort from the Group Health Cooperative of Puget Sound and Health Maintenance Organization of Washington between 1956 and 2020. Data analysis was performed from September 2020 to May 2023.

Main Outcomes and Measures

The main outcome for this study was cognitive impairment, as defined by subthreshold performance on both the Mini-Mental State Examination and the Mattis Dementia Rating Scale. Sleep duration was defined by self-report of median nightly sleep duration over the last week and was assessed longitudinally over multiple time points. Median sleep duration, sleep phenotype (short sleep, median ≤7 hours; medium sleep, median = 7 hour; long sleep, median ≥7 hours), change in sleep duration (slope), and variability in sleep duration (SD of median sleep duration, or sleep variability) were evaluated.

Results

Of the participants enrolled in SLS, only 1104 participants who were administered both the Health Behavior Questionnaire and the neuropsychologic battery were included for analysis in this study. A total of 826 individuals (mean [SD] age, 76.3 [11.8] years; 468 women [56.7%]; 217 apolipoprotein E ε4 allele carriers [26.3%]) had complete demographic information and were included in the study. Analysis using a Cox proportional hazard regression model (concordance, 0.76) showed that status as a short sleeper (hazard ratio, 3.67; 95% CI, 1.59-8.50) and higher sleep variability (hazard ratio, 3.06; 95% CI, 1.14-5.49) were significantly associated with the incidence of cognitive impairment.

Conclusions and Relevance

In this community-based longitudinal study of the association between sleep patterns and cognitive performance, the short sleep phenotype was significantly associated with impaired cognitive performance. Furthermore, high sleep variability in longitudinal sleep duration was significantly associated with the incidence of cognitive impairment, highlighting the possibility that instability in sleep duration over long periods of time may impact cognitive decline in older adults.

Improving sleep quality is essential for enhancing soluble Klotho levels in hemodialysis patients

PURPOSE

Sleep and Klotho seem to share common physiological pathways in aging. However, studies investigating this relationship are very few and none of them was done with a specific patient group. The aim of this study was to investigate the association of sleep quality and soluble Klotho levels in hemodialysis patients.

METHODS

100 hemodialysis patients were included in this study. Soluble Klotho levels were obtained from each patient and Pittsburgh Sleep Quality Index was performed by all patients. Association of soluble Klotho with sleep quality was calculated.

RESULTS

Soluble Klotho levels were significantly inversely correlated with total sleep quality score (p < 0.001, r = - 0.444). Among the subscales, soluble Klotho levels were negatively correlated with subjective sleep quality (p < 0.001, r = - 0.365), sleep latency (p = 0.002, r = - 0.312), sleep disturbance (p = 0.002, r = - 0.303) and daytime dysfunction (p = 0.027, r = - 0.221). Patients who had good sleep quality scores were found to have higher soluble Klotho levels [4.15 (0.05-22.68) vs. 1.14 (0.32-17.63), p < 0.001]. In regression analysis, total sleep quality score, subjective sleep quality and age were found to be independent negative factors for soluble Klotho levels.

CONCLUSION

In this study, a significant association between sleep quality and soluble Klotho levels was revealed in hemodialysis patients. Improving sleep quality will lead to increased soluble Klotho levels, which may further slow down the aging process in hemodialysis patients.

The thief of (bed)time: Examination of the daily associations between bedtime procrastination and multidimensional sleep health

OBJECTIVES

Sleep insufficiency is associated with increased risk of morbidity and mortality. Bedtime procrastination, or the needless and voluntary delay in sleep, is a sleep-related behavior which may interfere with sleep health. The objective of this study is to comprehensively examine the daily associations among bedtime procrastination and measures of sleep regularity, satisfaction, timing, efficiency, and duration.

METHODS

Two hundred and eighty young adult participants (79% female; Mage=24.4) completed daily sleep diaries and measures of bedtime procrastination and sleep restoration over 14days, in addition to measures of chronotype. Multilevel models were constructed to examine the associations between bedtime procrastination and sleep health.

RESULTS

Greater bedtime procrastination was associated with poorer sleep health, including poorer self-reported sleep restoration, later sleep timing, less efficient sleep, and shorter sleep duration. These associations were significant at both within- and between-person levels, and persisted after statistically adjusting for individuals' chronotypes.

CONCLUSIONS

This study offers bedtime procrastination as a putative mechanism for poor sleep health and finds that the associated risk of poor sleep from bedtime procrastination is independent of chronotype. Results presented here suggest that bedtime procrastination may be a relevant behavior in the development or maintenance of sleep and sleep-related disorders.

The associations between physical activity, sedentary behaviour, and sleep with mortality and incident cardiovascular disease, cancer, diabetes and mental health in adults: a systematic review and meta-analysis of prospective cohort studies

BACKGROUND

Physical activity, sedentary behaviour and sleep are interrelated and may have a synergistic impact on health. This systematic review and meta-analysis of prospective cohort studies aimed to evaluate the combined influence of different combinations of these behaviours on mortality risk and incidence of cardiovascular disease (CVD), cancer, diabetes, and mental health.

METHODS

Four online databases were used to identify studies from database inception to May 2023. Prospective cohort studies that examined how different combinations of physical activity, sedentary and sleep behaviours were associated with mortality and incident cardiovascular disease, cancer, diabetes and mental health in adults were included. Random effects meta-analyses using the Der Simonian and Laird method were conducted.

RESULTS

Assessment of 4583 records resulted in twelve studies being included. Studies were qualitatively summarised and a sub-group of studies (n = 5) were meta-analysed. The most frequent combination of behaviours was duration of leisure time physical activity and sleep (n = 9), with all-cause mortality (n = 16), CVD mortality (n = 9) and cancer mortality (n = 7) the most frequently examined outcomes. Meta-analysis revealed that relative to High physical activity & Mid sleep, High physical activity and Short sleep was not associated with risk of all-cause mortality (RR = 1.05, 95% CI = 0.97, 1.14), however Low physical activity and Short Sleep (RR = 1.42, 95% CI = 1.24, 1.63), Low physical activity and Mid Sleep (RR = 1.30, 95% CI = 1.12, 1.52), High physical activity and Long Sleep (RR = 1.16, 95% CI = 1.01, 1.32), and Low physical activity and Long Sleep were associated with risk of all-cause mortality (RR = 1.63, 95% CI = 1.21, 2.20).

CONCLUSIONS

High levels of physical activity may offset all-cause mortality risks associated with short sleep duration. Low levels of physical activity combined with short sleep duration and any level of physical activity in combination with long sleep duration appear to increase mortality risk. Currently there is limited evidence regarding how dimensions of physical activity, sedentary and sleep behaviours other than duration (e.g., quality, timing, type) are associated with future health status.

A daily examination of executive functioning and chronotype in bedtime procrastination

STUDY OBJECTIVES

Bedtime procrastination, or delays in bedtime not attributable to external obligations, is a behavioral tendency that undermines sleep and is conceptualized as a consequence of poor self-regulation. Prior studies investigating the mechanistic role of self-regulation in bedtime procrastination relied on cross-sectional methods and self-reported self-regulation. The present study examined the association between bedtime procrastination and both objective and self-reported executive functioning (EF) as indices of self-regulation, as well as the moderating role of chronotype, using methods that examined these associations at the daily level.

METHODS

A total of 273 young adult participants (78% female; Mage = 24.4) completed daily measures of objective EF (i.e., Stroop task), self-reported EF (i.e., self-reported cognitive, behavioral, and emotional regulation difficulties), and bedtime procrastination over 14 days, in addition to measures of chronotype. Multilevel models were constructed to examine the associations between bedtime procrastination and EF, as well as EF-chronotype interactions.

RESULTS

Poorer daily objective EF and self-reported behavioral regulation were associated with greater same-night bedtime procrastination. Additionally, poorer subjective cognitive and emotional regulation were associated with greater average bedtime procrastination across 14 days. Later chronotypes reported greater bedtime procrastination than early chronotypes.

CONCLUSIONS

The present study provides support for the association between EF and bedtime procrastination, but finds no evidence for the moderating role of chronotype in this association. Results suggest that some EF processes may be more relevant to bedtime procrastination than others. Current findings have implications for assessment and intervention for this consequential sleep-relevant behavioral tendency.

Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study

Importance

Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions. It remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment.

Objective

To evaluate how longitudinal sleep patterns contribute to age-related changes in cognitive function in healthy adults.

Design Setting Participants

This study utilizes retrospective longitudinal analyses of a community-based study within Seattle, evaluating self-reported sleep (1993-2012) and cognitive performance (1997-2020) in aged adults.

Main Outcomes and Measures

The main outcome is cognitive impairment as defined by sub-threshold performance on 2 of 4 neuropsychological batteries: Mini-Mental State Examination (MMSE), Mattis Dementia Rating Scale, Trail Making Test, and Wechsler Adult Intelligent Scale (Revised). Sleep duration was defined through self-report of 'average nightly sleep duration over the last week' and assessed longitudinally. Median sleep duration, change in sleep duration (slope), variability in sleep duration (standard deviation, Sleep Variability), and sleep phenotype ("Short Sleep" median ≤7hrs.; "Medium Sleep" median = 7hrs; "Long Sleep" median ≥7hrs.).

Results

A total of 822 individuals (mean age of 76.2 years [11.8]; 466 women [56.7%]; 216 APOE allele positive [26.3%]) were included in the study. Analysis using a Cox Proportional Hazard Regression model (concordance 0.70) showed that increased Sleep Variability (95% CI [1.27,3.86]) was significantly associated with the incidence of cognitive impairment. Further analysis using linear regression prediction analysis (R2=0.201, F (10, 168)=6.010, p=2.67E-07) showed that high Sleep Variability (β=0.3491; p=0.048) was a significant predictor of cognitive impairment over a 10-year period.

Conclusions and Relevance

High variability in longitudinal sleep duration was significantly associated with the incidence of cognitive impairment and predictive of decline in cognitive performance ten years later. These data highlight that instability in longitudinal sleep duration may contribute to age-related cognitive decline.

Clinical Spectrum and Trajectory of Innovative Therapeutic Interventions for Insomnia: A Perspective

Increasing incidences of insomnia in adults, as well as the aging population, have been reported for their negative impact on the quality of life. Insomnia episodes may be associated with neurocognitive, musculoskeletal, cardiovascular, gastrointestinal, renal, hepatic, and metabolic disorders. Epidemiological evidence also revealed the association of insomnia with oncologic and asthmatic complications, which has been indicated as bidirectional. Two therapeutic approaches including cognitive behavioral therapy (CBT) and drugs-based therapies are being practiced for a long time. However, the adverse events associated with drugs limit their wide and long-term application. Further, Traditional Chinese medicine, acupressure, and pulsed magnetic field therapy may also provide therapeutic relief. Notably, the recently introduced cryotherapy has been demonstrated as a potential candidate for insomnia which could reduce pain, by suppressing oxidative stress and inflammation. It seems that the synergistic therapeutic approach of cryotherapy and the above-mentioned approaches might offer promising prospects to further improve efficacy and safety. Considering these facts, this perspective presents a comprehensive summary of recent advances in pathological aetiologies of insomnia including COVID-19, and its therapeutic management with a greater emphasis on cryotherapy.

Shift Work and Metabolic Syndrome Updates: A Systematic Review

Shift work can cause circadian cycles disturbances and misaligns the endogenous rhythms. The physiological variables are driven by the circadian system and, its misalignment, can impair the metabolic functions. Thus, the main objective of this study was to evaluate the metabolic alterations as a result of shift work and night work reported in articles published in the last 5 years, using the eligibility criteria both gender and indexed articles in English language. In order to execute this work, we perform a systematic review according to PRISMA guidelines and searched about Chronobiology Disorders and Night Work, both related to metabolism, in Medline, Lilacs, ScienceDirect and Cochrane. Cross-sectional, cohort and experimental studies with low risk of bias were included. We found a total of 132 articles, and, after the selection process, 16 articles remained to be analyzed. It was observed that shift work can cause circadian misalignment and, consequently, some metabolic parameters alterations such as an impaired glycemic control and insulin functioning, cortisol phase release, cholesterol fractions imbalance, changes in morphological indexes and melatonin secretion. There are some limitations, such as heterogenicity in used databases and the 5 years restriction period, because the effects of sleep disturbance may have been reported earlier. In conclusion, we suggest that shift work interferes with the sleep-wake cycle and eating patterns, which cause crucial physiological alterations that, together, can lead to metabolic syndrome.

Unhealthy lifestyle impacts on biological systems involved in stress response: hypothalamic-pituitary-adrenal axis, inflammation and autonomous nervous system

An unhealthy lifestyle has a critical role in the pathogenesis and course of several chronic disorders. It has been hypothesized that lifestyle may also impact biological systems involved in stress response. A global index of unhealthy lifestyle was calculated based on the cumulative presence of five self-reported lifestyle habits (smoking, excessive alcohol use, drug use, low physical activity and short sleep) in 2783 participants (18-65 years) from the Netherlands Study of Depression and Anxiety. The functioning of biological stress systems was based on multiple physiological measures of cortisol, inflammatory cytokines and autonomic cardiac activity. The unhealthy lifestyle index was associated with hyperactivity of hypothalamus-pituitary-adrenal axis and increased inflammation, indicating that with increasing unhealthy habits, the level of biological stress increases. No association with the autonomic nervous system activity was observed; however, the use of drugs increased parasympathetic cardiac activity and significantly impacted on ANS. Results were not impacted by a recent episode of depression or anxiety disorder. An unhealthy lifestyle may unfavorably impact on biological systems involved in stress response, which may underlie progression of several psychiatric as well as somatic chronic disorders.

Contribution of Comorbid Conditions to the Diagnosis of Insomnia: A Database Study in a Commercially Insured Population

ABSTRACT

Insomnia is a common sleep disorder characterized as dissatisfaction with sleep quantity or quality resulting in distress or impairment of social, occupational, or other daily functioning. It is unknown if there are medical conditions that have strong associations with insomnia but are unrecognized in previous literature. In this cross-sectional study based on IBM Marketscan Research Databases, we measured insomnia and 78 medical conditions in patients with 2-year continuous enrollment during 2018-2019. We selected important comorbidities associated with insomnia for eight age-sex groups and built logistic regression models to measure the associations. The prevalence of diagnosed insomnia increased with age, from <0.4% in the age group 0-17 to 4%-5% in the age group ≥65. Females had a higher prevalence of insomnia than males. Anxiety and depression were two important comorbidities across all age-sex subgroups. Most odds ratios of comorbidities remained significant after adjusting for other comorbidities in regression models. We did not find any new medical conditions that had strong associations with insomnia but were unrecognized in previous literature. The findings can help physicians use comorbidities to identify patients with high risk of insomnia.

Ghrelin regulates the proliferation and apoptosis of high glucose-induced islet cells through the PI3K-Akt signaling pathway

Ghrelin may have therapeutic value in mitigating insulin resistance and type 2 diabetes, based on which we further explore the action mechanism of ghrelin on islet cells in this research. In the course of experiments, MIN6 cells were induced by glucose and then treated with acylated or unacylated ghrelin. The effects of ghrelin on the viability, proliferation, apoptosis, and insulin release of high glucose-induced islet cells were detected by Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine, flow cytometry, and enzyme-linked immunosorbent assays, respectively. Meanwhile, cells were treated with LY294002 to explore whether and how the inhibited phosphoinositide 3-kinase-protein kinase B (PI3K-AKT) signaling pathway participated in the internal mechanism of ghrelin-regulating islet cells. Western blotting was performed to quantify the expression levels of Bcl-2, Bax, Cleaved caspase-3, PI3K, and AKT. As a result, ghrelin alleviated high glucose-induced suppression of viability and proliferation and promotion on apoptosis of MIN6 cells. Ghrelin also attenuated the inhibitory effects of high glucose on expression levels of PI3K-Akt signaling axis-related proteins and insulin release in MIN6 cells. Besides, ghrelin weakened the impacts of high glucose on boosting MIN6 cell apoptosis and hindering proliferation through the PI3K-Akt signaling axis. Collectively, ghrelin regulates the proliferation and apoptosis of high glucose-induced islet cells through the PI3K-Akt signaling pathway.

Obstructive sleep apnea (OSA) is associated with the impairment of beta-cell response to glucose in children and adolescents with obesity

BACKGROUND

The main purpose of the study is to assess the association between obstructive sleep apnea (OSA) and insulin secretion in children with obesity.

METHODS

We enrolled children and adolescents who attended our pediatric clinic because of obesity and OSA. Glucose homeostasis was assessed through standard 2-h oral glucose tolerance test (OGTT). Nocturnal cardio-respiratory polygraphy was performed for OSA diagnosis. Twenty-two patients underwent a 3-h OGTT to investigate insulin secretion and sensitivity through the oral-minimal model.

RESULTS

seventy-seven children and adolescents were included in the study. Based on OSA severity, the cohort was divided into three groups (29 mild, 29 moderate, and 19 severe OSA). The group with mild OSA showed lower levels of 30-min glucose (p = 0.01) and 60-min glucose (p = 0.03), and lower prevalence of elevated 1-h glucose (10.4% versus 44.8% in moderate and 31.6% in severe OSA, p = 0.01). The odds for elevated 1-h plasma glucose was 6.2-fold (95%CI 1.6-23.4) higher in subjects with moderate and severe OSA compared to mild OSA (p = 0.007) independent of confounders. Spearman correlation test revealed a positive correlation between 30-min plasma glucose and apnea-hypopnea index (AHI, r = 0.31, p = 0.01), oxygen desaturation index (ODI, r = 0.31, p = 0.009), and mean desaturation (r = 0.25, p = 0.04). The 3-h OGTT study included 22 participants (7 mild, 9 moderate, and 6 severe OSA). The group with mild OSA showed a higher dynamic, static, and total insulin secretion compared to those with moderate and severe OSA (p < 0.0001, p = 0.007, p = 0.007, respectively). AHI was significantly correlated to dynamic insulin secretion (r = -0.48, p = 0.02).

CONCLUSIONS

OSA might impair beta-cell function reducing the pool of promptly releasable insulin in children and adolescents with obesity, in the absence of an effect on insulin sensitivity.

Paternal sleep deprivation induces metabolic perturbations in male offspring via altered LRP5 DNA methylation of pancreatic islets

Diabetes and metabolic perturbation are global health challenges. Sleep insufficiency may trigger metabolic dysregulation leading to diabetes. However, the intergenerational transmission of this environmental information is not clearly understood. The research objective was to determine the possible effect of paternal sleep deprivation on the metabolic phenotype of the offspring and to investigate the underlying mechanism of epigenetic inheritance. Male offspring of sleep-deprived fathers exhibit glucose intolerance, insulin resistance, and impaired insulin secretion. In these SD-F1 offspring, a reduction in beta cell mass and proliferation of beta cells were observed. Mechanistically, in pancreatic islets of SD-F1 offspring, we identified alterations in DNA methylation at the promoter region of the LRP5 (LDL receptor related protein 5) gene, a coreceptor of Wnt signaling, resulting in downregulation of downstream effectors cyclin D1, cyclin D2, and Ctnnb1. Restoration of Lrp5 in the pancreas of SD-F1 male mice could improve impaired glucose tolerance and expression of cyclin D1, cyclin D2, and Ctnnb1. This study might significantly contribute to our understanding of the effects of sleeplessness on health and metabolic disease risk from the perspective of the heritable epigenome.

Lifestyle and cardiometabolic risk factors in the ethnic and non-ethnic population > 15 years of age: results from the National Chilean Health Survey 2016-2017

BACKGROUND

lifestyle and cardiometabolic risk factors information is scarce regarding youth and adults of Latin-American ethnics.

OBJECTIVE

the primary aim was to describe the lifestyle and cardiometabolic risk factors for arterial hypertension (HTN) and diabetes in ethnic Latin-American groups (Mapuche and Aymara) and other non-ethnics > 15 years of age in the Chilean population. A secondary aim was to determine the association between physical activity 'intensity' with HTN and diabetes markers.

MATERIAL AND METHODS

a representative sample from the National Chilean Health Survey 2016-2017, included Mapuche (EG-Map; women n = 166, men n = 300; total n = 466), Aymara (EG-Aym; women n = 96, men n = 55; total n = 151), and a non-ethnic population group (No-EG; women n = 2057, men n = 3445; total n = 5502). The main outcomes were; systolic blood pressure (SBP), diastolic blood pressure (DBP), and fasting plasma glucose (GL), and secondary outcomes were other anthropometric, lipid profile, and lifestyle parameters.

RESULTS

the GL was significantly associated with nutrition (0.9 %, p < 0.0001), and tobacco and alcohol habits (0.6 %, p < 0.0001). SBP was significantly associated with nutrition (whole-grains 0.04, p = 0.001; water consumption 0.07, p < 0.0001), sleep hygiene (week 0.04, p = 0.030; on weekends -0.04, p = 0.026), and alcohol consumption (-0.06, p < 0.0001).

CONCLUSION

in conclusion, lifestyle differences among Mapuche and Aymara ethnic groups in comparison with non-ethnic Chilean peers > 15 years are significantly associated with blood pressure and glycemia.

Sleep Duration and Risks of Incident Cardiovascular Disease and Mortality Among People With Type 2 Diabetes

OBJECTIVE

People with type 2 diabetes may have insufficient or prolonged sleep that could accelerate cardiovascular disease (CVD) onset, but existing evidence from prospective studies has been limited. We examined the association of sleep duration with CVD incidence and mortality in this high-risk population.

RESEARCH DESIGN AND METHODS

This prospective study included 18,876 participants with type 2 diabetes in the UK Biobank who were free of CVD and cancer at baseline. Habitual sleep duration was obtained using a baseline questionnaire. Cox proportional hazards regression models were used to examine the association between sleep duration and CVD events.

RESULTS

During an average follow-up of 11.0-12.0 years, we documented 2,570 incident cases of atherosclerotic cardiovascular disease (ASCVD) and 598 CVD deaths. Compared with sleeping for 7 h/day, the multivariable-adjusted hazard ratios of ≤5 and ≥10 h/day were 1.26 (95% CI 1.08, 1.48) and 1.41 (1.16, 1.70) for incident ASCVD, 1.22 (0.99, 1.50) and 1.16 (0.88, 1.52) for coronary artery disease, 1.70 (1.23, 2.35) and 2.08 (1.44, 3.01) for ischemic stroke, 1.02 (0.72, 1.44) and 1.45 (1.01, 2.10) for peripheral artery disease, and 1.42 (1.02, 1.97) and 1.85 (1.30, 2.64) for CVD mortality. Similar results were observed in most sensitivity analyses that aimed to address potential reverse causation and in the joint analyses of sleep duration and metabolic control or diabetes severity status.

CONCLUSIONS

Short and long sleep durations were independently associated with increased risks of CVD onset and death among people with type 2 diabetes.

Obesity, diabetes mellitus, and pancreatic carcinogenesis: Correlations, prevention, and diagnostic implications

The prevalence of obesity, diabetes mellitus (DM), and pancreatic cancer (PC) has been consistently increasing in the last two decades worldwide. Sharing various influential risk factors in genetics and environmental inducers in pathogenesis, the close correlations of these three diseases have been demonstrated in plenty of clinical studies using multiple parameters among different populations. On the contrary, most measures aimed to manage and treat obesity and DM effectively reduce the risk and prevent PC occurrence, yet certain drugs can inversely promote pancreatic carcinogenesis instead. Most importantly, an elevation of blood glucose with or without a reduction in body weight, along with other potential tools, may provide valuable clues for detecting PC at an early stage in patients with obesity and DM, favoring a timely intervention and prolonging survival. Herein, the epidemiological and etiological correlations among these three diseases and the supporting clinical evidence of their connections are first summarized to favor a better and more thorough understanding of obesity- and DM-related pancreatic carcinogenesis. After comparing the distinct impacts of different weight-lowering and anti-diabetic treatments on the risk of PC, the possible diagnostic implications of hyperglycemia and weight loss in PC screening are also addressed in detail.

Association of Sleep Patterns with Type 2 Diabetes Mellitus: A Cross-Sectional Study Based on Latent Class Analysis

Sleep duration, sleep quality and circadian rhythm disruption indicated by sleep chronotype are associated with type 2 diabetes. Sleep involves multiple dimensions that are closely interrelated. However, the sleep patterns of the population, and whether these sleep patterns are significantly associated with type 2 diabetes, are unknown when considering more sleep dimensions. Our objective was to explore the latent classes of sleep patterns in the population and identify sleep patterns associated with type 2 diabetes. Latent class analysis was used to explore the best latent classes of sleep patterns based on eleven sleep dimensions of the study population. Logistic regression was used to identify sleep patterns associated with type 2 diabetes. A total of 1200 participants were included in the study. There were three classes of sleep patterns in the study population: "circadian disruption with daytime dysfunction" (class 1), "poor sleep status with daytime sleepiness" (class 2), and "favorable sleep status" (class 3). After controlling for all confounding factors, people in class 2 have significantly higher prevalence of type 2 diabetes than those in class 3 (OR: 2.24, 95% CI 1.26-4.00). Sleep problems have aggregated characteristics. People with sleep patterns involving more or worse sleep problems have higher significantly prevalence of T2DM.

Gender differences in the prevalence of and trends in sleep patterns and prescription medications for insomnia among US adults, 2005 to 2018

BACKGROUND

Evidence indicates that the burden of sleep disorders is increasing, yet recent trends have not been examined.

OBJECTIVE

To examine the prevalence of and trends in sleep patterns and medications commonly used for insomnia (MCUFI) in US adults from 2005 through 2018.

METHODS

A total of 39,749 participants aged 20 years or older from 7 consecutive National Health and Nutrition Examination Survey cycles during 2005-2018 were included.

RESULTS

The age-standardized prevalence of trouble sleeping and using MCUFI was higher in women than men, but men tended to sleep less (sleep duration <7 hours) and were more likely to have sleep disorders. The temporal trends in sleep disorders and MCUFI were similar in men and women, except that trouble sleeping increased more in men (P = 0.024). The prevalence of insufficient sleep decreased from 33.6% in women and 38.1% in men in 2005-2006 to 20.5% in women and 28.6% in men in 2017-2018. The prevalence of MCUFI use was 13.3% in women and 8.9% in men in 2005-2006, peaked at 15.2% for men and 17.0% for women in 2013-2014, and decreased slightly in 2015-2018.

CONCLUSION

The prevalence of trouble sleeping and MCUFI use was higher in women, while the prevalence of short sleep duration and sleep disorders was higher in men. Sleep disorders, abnormal sleep duration, and MCUFI use increased at a broadly similar pace in men and women, except that trouble sleeping increased more in men.

Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) has had a rapid and sustained negative impact on sleep and mental health in the United States with disproportionate morbidity and mortality among socioeconomically deprived populations. We used multivariable and logistic regression to evaluate the associations among sleep duration, mental health, and socioeconomic deprivation (social deprivation index) in 14,676 Ohio residents from 1101 zip code tabulation areas from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey. Higher socioeconomic deprivation was associated with shorter sleep and poorer mental health after adjusting for covariates (age, sex, race, education, income, and body mass index) in the multivariable linear regression models. Those in the highest socioeconomically deprived areas had 1.6 and 1.5 times higher odds of short sleep (duration < 6 h) and poor mental health (>14 poor mental health days), respectively, in the logistic regression models. Previous researchers have focused on limited socio-environmental factors such as crowding and income. We examined the role of a composite area based measure of socioeconomic deprivation in sleep duration and mental health during the first year of COVID-19. Our results suggest the need for a broader framework to understand the associations among socioeconomic deprivation, sleep duration, and mental health during a catastrophic event.

Dietary Risk Factors and Eating Behaviors in Peripheral Arterial Disease (PAD)

Dietary risk factors play a fundamental role in the prevention and progression of atherosclerosis and PAD (Peripheral Arterial Disease). The impact of nutrition, however, defined as the process of taking in food and using it for growth, metabolism and repair, remains undefined with regard to PAD. This article describes the interplay between nutrition and the development/progression of PAD. We reviewed 688 articles, including key articles, narrative and systematic reviews, meta-analyses and clinical studies. We analyzed the interaction between nutrition and PAD predictors, and subsequently created four descriptive tables to summarize the relationship between PAD, dietary risk factors and outcomes. We comprehensively reviewed the role of well-studied diets (Mediterranean, vegetarian/vegan, low-carbohydrate ketogenic and intermittent fasting diet) and prevalent eating behaviors (emotional and binge eating, night eating and sleeping disorders, anorexia, bulimia, skipping meals, home cooking and fast/ultra-processed food consumption) on the traditional risk factors of PAD. Moreover, we analyzed the interplay between PAD and nutritional status, nutrients, dietary patterns and eating habits. Dietary patterns and eating disorders affect the development and progression of PAD, as well as its disabling complications including major adverse cardiovascular events (MACE) and major adverse limb events (MALE). Nutrition and dietary risk factor modification are important targets to reduce the risk of PAD as well as the subsequent development of MACE and MALE.

Associations of somatic depressive symptoms with body mass index, systemic inflammation, and insulin resistance in primary care patients with depression

The somatic depressive symptom cluster (including appetite and sleep disturbances) is more strongly associated with insulin resistance (a diabetes risk marker) than other depressive symptom clusters. Utilizing baseline data from 129 primary care patients with depression but no diabetes in the eIMPACT trial (M_age = 59 years, 78% female, 50% Black), we examined associations of somatic depressive symptoms with insulin resistance (HOMA-IR), body mass index (BMI), and high-sensitivity C-reactive protein (hsCRP). We tested BMI and hsCRP as mediators and race as a moderator of these relationships. Hyperphagia was positively associated HOMA-IR (β = 0.19, p = .048) and BMI (β = 0.30, p < .001); poor appetite was negatively associated with HOMA-IR (β = -0.24, p = .02); hypersomnia was positively associated with HOMA-IR (β = 0.28, p = .003), BMI (β = 0.26, p = .003), and hsCRP (β = 0.23, p = .01); and disturbed sleep was positively associated with hsCRP (β = 0.21, p = .04). BMI partially mediated hyperphagia and hypersomnia's associations with HOMA-IR; hsCRP partially mediated the hypersomnia-HOMA-IR association; and race moderated the hyperphagia-HOMA-IR association (positive for White participants but null for Black participants). People with depression experiencing hyperphagia and/or hypersomnia may be a subgroup with greater insulin resistance; BMI and hsCRP are likely pathways in these relationships. This study highlights the importance of considering the direction of somatic depressive symptoms in the context of cardiometabolic disease risk.

Short sleep and social jetlag are associated with higher intakes of non-milk extrinsic sugars, and social jetlag is associated with lower fibre intakes in those with adequate sleep duration: a cross-sectional analysis from the National Diet and Nutrition Survey Rolling Programme (Years 1-9)

OBJECTIVE

To investigate associations and interactions between sleep duration and social jetlag status with nutrient intake, nutrient status, body composition and cardio-metabolic risk factors in a nationally representative UK adult population.

DESIGN

A cross-sectional study using 4-d food diary and self-reported sleep data from the UK National Diet and Nutrition Survey Rolling Programme 2008-2017.

SETTING

UK free-living population.

SUBJECTS

Totally, 5015 adults aged 19-64 years.

RESULTS

Thirty-four per cent were short sleepers (< 7 h); 7 % slept ≥ 9 h; 14 % had > 2 h difference in average sleep duration between weeknights and weekend nights (social jetlag). Compared to those reporting optimal sleep duration (≥ 7-< 9 h), short sleep was associated with higher intakes of non-milk extrinsic sugars (NMES) (0·9 % energy, 95 % CI: 0·4, 1·4), total carbohydrate (0·8 % energy, 95 % CI: 0·2, 1·4) and a lower non-starch polysaccharides fibre intake (-0·5 g/d, 95 % CI -0·8, -0·2). There was a significant interaction between short sleep and social jetlag for fibre intakes, where adequate sleepers with social jetlag as well as all short sleepers (regardless of social jetlag) had lower fibre intakes than adequate sleepers with no social jetlag. Short sleep, but not social jetlag, was associated with greater adiposity, but there were no differences in other markers of cardiometabolic disease risk.

CONCLUSIONS

The present study reports that both short sleep and social jetlag are associated with higher intakes of NMES, but only sleep duration is associated with markers of adiposity. Social jetlag was associated with lower fibre intakes even in individuals with adequate weekly sleep duration, suggesting catch-up sleep does not prevent the adverse impact of irregular sleep habits on food choices.

Diabetes, sleep disorders and risk of depression - A Danish register-based cohort study

AIMS

We examined the influence of comorbid sleep disorder on the association between type 2 diabetes (T2D) and risk of incident depression.

METHODS

The study population (N = 232,489) was based on all individuals registered aged ≥40 years with a T2D diagnosis between January 1, 2000 to December 31, 2012 in the Danish National Diabetes Register and a matched reference population. The risk of incident depression (diagnosis or anti-depressant medication) following T2D and possible effect modification of comorbid sleep disorder was estimated using adjusted Cox proportional hazards regression. Sleep disorder was defined as a diagnosis of insomnia, hypersomnia or sleep-wake schedule disorders or use of sleep medication (z-drugs or melatonin) in the Danish National Patient Registry or the Danish National Prescription Registry.

RESULTS

At study entry, 15.3 % of the participants had a sleep disorder. During follow-up, 2.6 % were diagnosed with depression and 32.1 % received antidepressant medication. The unadjusted hazard ratio (HR) for depression was 1.54 (95%CI 1.52-1.56) for patients with diabetes, which attenuated to 1.50 (1.48-1.52) after adjustment for sleep disorders, which further attenuated to 1.27 (1.26-1.29) in the model further adjusted for psychiatric and somatic comorbidities. The analyses of T2D and sleep disorder as independent and combined variables compared with none of the conditions on risk of depression, showed a HR of 1.27 (95 % CI 1.19-1.35) for T2D without sleep disorder, 1.46 (95 % CI 1.33-1.59) for sleep disorders without T2D, and 1.49 (95%CI 1.37-1.63) for both conditions.

CONCLUSIONS

T2D and sleep disorders were independently associated with subsequent risk of depression and individuals with both conditions experienced the greatest relative risk. Sleep disorders neither explained nor amplified the relation between diabetes and depression.

Examining the role of systemic chronic inflammation in diet and sleep relationship

BACKGROUND

It is well known that systemic chronic inflammation (SCI), which can be modulated by diet, is associated with poor sleep outcomes. However, the role of SCI in diet health and sleep quality relationship has not been well established.

METHODS

Here, by using the UK Biobank data set, we assessed the association between markers of SCI (leukocyte, platelet, lymphocyte, neutrophil, and basophil counts; C-reactive protein levels and neutrophil to lymphocyte ratio (NLR)), habitual intake of food groups, diet health and sleep quality in 449,084 participants. We also formally tested the possibility that SCI might mediate the relationship between diet health and sleep quality.

RESULTS

Our results revealed (i) negative associations between SCI and food groups that are abundant in healthy diets (fruit, vegetable and oily and non-oily fish) and (ii) positive associations between SCI and food groups that are abundant in unhealthy diets (processed meat). Sleep quality was also negatively associated with platelet counts, CRP levels and NLR. Crucially, however, while platelet and neutrophil counts, CRP levels and NLR fully mediated the association between diet health and sleep quality, leukocyte, lymphocyte and basophil counts partially mediated the associations between diet health and sleep quality.

CONCLUSION

Reducing SCI via dietary interventions could be an effective primary and/or complementary strategy to increase sleep quality. Further interventional trials are warranted to (i) establish the strength of associations, preferably by using validated diet and sleep measures and (ii) examine longer term effects of anti-inflammatory diets on sleep-, diet- and inflammation-related health outcomes.

Prevalence of short and long sleep duration: Ravansar NonCommunicable Disease (RaNCD) cohort study

Background

Prevalence of short and long sleep duration varies in different countries and changes over time. There are limited studies on Iranians’ sleep duration, and we aimed to evaluate the prevalence of short and long sleep duration and associated factors among people living in Kermanshah, Iran.

Methods

This population-based cross-sectional study was conducted between November 2014 and February 2017. Data was collected from 10,025 adults aged 35 to 65 years using census sampling, and we evaluated the short and long sleep duration (≤ 6 and ≥ 9 h, respectively) and its relation with the socio-demographic factors and health-related status of the participants.

Results

Mean age of participants was 48.1 years (standard deviation = 8.2), and 47.4% of participants were male. Of our participants, 11.6% had short, and 21.9% had long sleep duration. Age ≥ 50 years, female gender, being single, mobile use for longer than 8 h per day, working in night shifts, moderate and good levels of physical activity, BMI ≥ 30, past smoking, and alcohol use were associated with short sleep duration (P < 0.05). Female gender and living in rural areas were associated with long sleep duration (P < 0.05).

Conclusion

In the Ravansar population, short and long sleep duration are prevalent, with long sleep duration having higher prevalence. People at risk, such as night shift workers, as well as modifiable factors, such as mobile phone use, can be targeted with interventions to improve sleep hygiene.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14061-4.

Variant-to-gene-mapping analyses reveal a role for pancreatic islet cells in conferring genetic susceptibility to sleep-related traits

We investigated the potential role of sleep-trait associated genetic loci in conferring a degree of their effect via pancreatic α- and β-cells, given that both sleep disturbances and metabolic disorders, including type 2 diabetes and obesity, involve polygenic contributions and complex interactions. We determined genetic commonalities between sleep and metabolic disorders, conducting linkage disequilibrium genetic correlation analyses with publicly available GWAS summary statistics. Then we investigated possible enrichment of sleep-trait associated SNPs in promoter-interacting open chromatin regions within α- and β-cells, intersecting public GWAS reports with our own ATAC-seq and high-resolution promoter-focused Capture C data generated from both sorted human α-cells and an established human beta-cell line (EndoC-βH1). Finally, we identified putative effector genes physically interacting with sleep-trait associated variants in α- and EndoC-βH1cells running variant-to-gene mapping and establish pathways in which these genes are significantly involved. We observed that insomnia, short and long sleep-but not morningness-were significantly correlated with type 2 diabetes, obesity and other metabolic traits. Both the EndoC-βH1 and α-cells were enriched for insomnia loci (p = .01; p = .0076), short sleep loci (p = .017; p = .022) and morningness loci (p = 2.2 × 10-7; p = .0016), while the α-cells were also enriched for long sleep loci (p = .034). Utilizing our promoter contact data, we identified 63 putative effector genes in EndoC-βH1 and 76 putative effector genes in α-cells, with these genes showing significant enrichment for organonitrogen and organophosphate biosynthesis, phosphatidylinositol and phosphorylation, intracellular transport and signaling, stress responses and cell differentiation. Our data suggest that a subset of sleep-related loci confer their effects via cells in pancreatic islets.