Short- and long-term health consequences of sleep disruption

Euphausia pacifica emulsified oil powder improves sleep quality in partially sleep-restricted healthy volunteers

Although it is known that adequate sleep is crucial for maintaining a healthy lifestyle, approximately 30% of the general population has experienced insomnia. Thus, a better understanding of the relationship between food components and sleep quality is needed. North Pacific krill, Euphausia pacifica, is rich in marine n-3 polyunsaturated fatty acids in phospholipid form as well as 8R-hydroxy-eicosapentanoic acid. Here, emulsified oil powder derived from this krill was used in a trial involving 64 participants to assess its potential to enhance sleep quality. Consumption of the powdered emulsified oil was found to reduce drowsiness upon waking and enhance fatigue recovery, and for participants aged 40 and above, an improvement in sleep cycle was observed. In conclusion, consumption of krill emulsified oil powder was effective in enhancing sleep quality for individuals with partial sleep restrictions.

Associations of Anti-COVID-19 Measures and Lifestyle Changes During the COVID-19 Pandemic With Sleep Patterns in the Netherlands: A Longitudinal Study

Although there is scientific evidence for an increased prevalence of sleep disorders during the coronavirus disease 2019 (COVID-19) pandemic, there is still limited information on how lifestyle factors might have affected sleep patterns. Therefore, we followed a large cohort of participants in the Netherlands (n = 5,420) for up to 1 year (September 2020-2021) via monthly Web-based questionnaires to identify lifestyle changes (physical activity, cigarette smoking, alcohol consumption, electronic device use, and social media use) driven by anti-COVID-19 measures and their potential associations with self-reported sleep (latency, duration, and quality). We used the Containment and Health Index (CHI) to assess the stringency of anti-COVID-19 measures and analyzed associations through multilevel ordinal response models. We found that more stringent anti-COVID-19 measures were associated with higher use of electronic devices (per interquartile-range increase in CHI, odds ratio (OR) = 1.47, 95% confidence interval (CI): 1.40, 1.53), less physical activity (OR = 0.94, 95% CI: 0.90, 0.98), lower frequency of alcohol consumption (OR = 0.63, 95% CI: 0.60, 0.66), and longer sleep duration (OR = 1.11, 95% CI: 1.05, 1.16). Lower alcohol consumption frequency and higher use of electronic devices and social media were associated with longer sleep latency. Lower physical activity levels and higher social media and electronic device use were related to poorer sleep quality and shorter sleep duration.

Sleep loss impairs blood-brain barrier function: Cellular and molecular mechanisms

Sleep is a physiological process that preserves the integrity of the neuro-immune-endocrine network to maintain homeostasis. Sleep regulates the production and secretion of hormones, neurotransmitters, cytokines and other inflammatory mediators, both at the central nervous system (CNS) and at the periphery. Sleep promotes the removal of potentially toxic metabolites out of the brain through specialized systems such as the glymphatic system, as well as the expression of specific transporters in the blood-brain barrier. The blood-brain barrier maintains CNS homeostasis by selectively transporting metabolic substrates and nutrients into the brain, by regulating the efflux of metabolic waste products, and maintaining bidirectional communication between the periphery and the CNS. All those processes are disrupted during sleep loss. Brain endothelial cells express the blood-brain barrier phenotype, which arises after cell-to-cell interactions with mural cells, like pericytes, and after the release of soluble factors by astroglial endfeet. Astroglia, pericytes and brain endothelial cells respond differently to sleep loss; evidence has shown that sleep loss induces a chronic low-grade inflammatory state at the CNS, which is associated with blood-brain barrier dysfunction. In animal models, blood-brain barrier dysfunction is characterized by increased blood-brain barrier permeability, decreased tight junction protein expression and pericyte detachment from the capillary wall. Blood-brain barrier dysfunction may promote defects in brain clearance of potentially neurotoxic metabolites and byproducts of neural physiology, which may eventually contribute to neurodegenerative diseases. This chapter aims to describe the cellular and molecular mechanisms by which sleep loss modifies the function of the blood-brain barrier.

Gender-specific link between sleep quality and body composition components: a cross-sectional study on the elderly

Sleep duration has been associated with overweight/obesity. Since sleep quality and body composition alter during aging, we conducted this study to determine if sleep quality is linked to body composition components in elderly people. This is a cross-sectional study conducted on 305 Iranian community-dwelling elderly aged ≥ 65 years. Sleep quality and body composition components were evaluated using Pittsburgh sleep quality index and bioelectric impedance analysis, respectively. The association of sleep quality and body composition components was examined using linear regression analysis. The prevalence of poor sleep quality and overweight/obesity was 48.9% and 54.4% in men and 77.0% and 79.3% in women, respectively. Women had significantly higher scores in most PSQI items than men, indicating their worse sleep quality compared to men. Women also had significantly higher body mass index (BMI), body fat percentage, and visceral adipose tissue and lower skeletal muscle and fat-free mass percentages than men. In the adjusted regression model, men showed positive associations between the third tertile of poor sleep quality and BMI (B = 1.35; 95% CI 0.08-2.61) and waist circumference (B = 4.14; 95% CI 0.39-7.89), but they did not demonstrate an association between sleep quality and body composition components. In the adjusted regression model for women, there were positive associations for BMI (B = 1.21; 95% CI 0.34-2.07), waist circumference (B = 2.95; 95% CI 0.99-4.91), body fat percentage (B = 2.75; 95% CI 1.06-4.45), and visceral adipose tissue (B = 7.80; 95% CI 1.73-13.87); also there were negative associations for skeletal muscle (B =  - 1.40; 95% CI - 2.39 - - 0.41) and fat-free mass (B =  - 2.76; 95% CI - 4.46 - -1.07) percentages. Except for waist circumference, other variables differed between men and women (P < 0.001). Weight management, prevention of muscle wasting, and improvement of sleep quality should be considered in a consortium when designing healthcare strategies for the elderly.

Neighborhood Light at Night and Noise Levels, and Long-Term Sleep Trajectories in the Southern Community Cohort Study

While light at night (LAN) and noise levels have been linked to suboptimal sleep outcomes, little is known about the link between these factors and long-term suboptimal sleep trajectories. The current study examined the association of neighborhood LAN and nighttime noise with long-term sleep trajectories in a cohort of Black individuals and White individuals predominantly from low-income communities. We used data from the Southern Community Cohort Study (N = 28,759 Black individuals and 16,276 White individuals). Sleep duration was self-reported at baseline and after an average of five years of follow-up, based on which we constructed nine sleep trajectories: normal-normal (optimal, reference), short-short, long-long, short-long, long-short, normal-short, normal-long, short-normal, and long-normal. LAN and nighttime noise were derived from satellite imagery and model-based estimates, respectively. Multinomial logistic regression was used to determine the relationship between LAN and noise exposures and sleep trajectories. Higher exposures to LAN and nighttime noise were associated with multiple suboptimal long-term sleep trajectories. In the total sample, higher LAN was associated with higher odds of long-long (OR Q5 vs. Q1 = 1.23 (CI = 1.02, 1.48)) and long-short (OR = 1.35 (CI = 1.06, 1.72)) trajectories, while higher nighttime noise was associated with short-short (1.19 (1.07, 1.31)), long-short (1.31 (1.05, 1.64)), and normal-song (1.16 (1.01, 1.34)) trajectories. Black and White individual-specific results showed qualitatively similar patterns between Black individuals and White individuals, although we also observed suggestive evidence for Black-White individual differences. In conclusion, elevated LAN and nighttime noise levels were associated with various suboptimal long-term sleep trajectories. However, it is noteworthy that the light and noise measures in our study may not accurately reflect individual-level exposures, and residual confounding from other factors is a concern. Future studies should use more accurate exposure measurements, collect information on and control for a wider range of factors, and examine whether reductions in neighborhood light and noise levels may contribute to improved long-term sleep health.

How our longitudinal employment patterns might shape our health as we approach middle adulthood-US NLSY79 cohort

Recent labor market transformations brought on by digital and technological advances, together with the rise of the service economy since the 1980s, have subjected more workers to precarious conditions, such as irregular work hours and low or unpredictable wages, threatening their economic well-being and health. This study advances our understanding of the critical role employment plays in our health by examining how employment patterns throughout our working lives, based on work schedules, may shape our health at age 50, paying particular attention to the moderating role of social position. The National Longitudinal Survey of Youth-1979 (NLSY79), which has collected 30+ years of longitudinal information, was used to examine how employment patterns starting at ages 22 (n ≈ 7,336) might be associated with sleep hours and quality, physical and mental functions, and the likelihood of reporting poor health and depressive symptoms at age 50. Sequence analysis found five dominant employment patterns between ages 22 and 49: "mostly not working" (10%), "early standard hours before transitioning into mostly variable hours" (12%), "early standard hours before transitioning into volatile schedules" (early ST-volatile, 17%), "mostly standard hours with some variable hours" (35%), and "stable standard hours" (26%). The multiple regression analyses indicate that having the "early ST-volatile" schedule pattern between ages 22 and 49 was consistently, significantly associated with the poorest health, including the fewest hours of sleep per day, the lowest sleep quality, the lowest physical and mental functions, and the highest likelihood of reporting poor health and depressive symptoms at age 50. In addition, social position plays a significant role in these adverse health consequences. For example, whereas non-Hispanic White women reported the most hours of sleep and non-Hispanic Black men reported the fewest, the opposite was true for sleep quality. In addition, non-Hispanic Black men with less than a high school education had the highest likelihood of reporting poor health at age 50 if they engaged in an employment pattern of "early ST-volatile" between ages 22 and 49. In comparison, non-Hispanic White men with a college degree or above education had the lowest likelihood of reporting poor health if they engaged in an employment pattern of stable standard hours. This analysis underscores the critical role of employment patterns in shaping our daily routines, which matter to sleep and physical and mental health as we approach middle adulthood. Notably, the groups with relatively disadvantaged social positions are also likely to be subject to nonstandard work schedules, including non-Hispanic Blacks and people with low education; hence, they were more likely than others to shoulder the harmful links between nonstandard work schedules and sleep and health, worsening their probability of maintaining and nurturing their health as they approach middle adulthood.

Dyadic sleep intervention for adult patients with cancer and their sleep-partner caregivers: A feasibility study

OBJECTIVES

Sleep disturbances are common among adult patients with cancer and their caregivers. To our knowledge, no sleep intervention to date has been designed to be provided to both patients with cancer and their caregivers simultaneously. This single-arm study aimed to pilot test the feasibility and acceptability, and to illustrate the preliminary efficacy on sleep efficiency of the newly developed dyadic sleep intervention, My Sleep Our Sleep (MSOS: NCT04712604).

METHODS

Adult patients who were newly diagnosed with a gastrointestinal (GI) cancer and their sleep-partner caregivers (n = 20 persons: 10 dyads, 64 years old, 60% female patients, 20% Hispanic, 28 years relationship duration), both of whom had at least mild levels of sleep disturbance (Pittsburgh Sleep Quality Index [PSQI] ≥ 5) participated in this study. MSOS intervention consists of four 1-hour weekly sessions delivered using Zoom to the patient-caregiver dyad together.

RESULTS

We were able to enroll 92.9% of the eligible and screened patient-caregiver dyads within 4 months. Participants reported high satisfaction in 8 domains (average 4.76 on a 1-5 rating). All participants agreed that the number of sessions, interval (weekly), and delivery mode (Zoom) were optimal. Participants also preferred attending the intervention with their partners. Both patients and caregivers showed improvement in sleep efficiency after completing the MSOS intervention: Cohen's d = 1.04 and 1.47, respectively.

SIGNIFICANCE OF RESULTS

Results support the feasibility and acceptability, as well as provide the preliminary efficacy of MSOS for adult patients with GI cancer and their sleep-partner caregivers. Findings suggest the need for more rigorous controlled trial designs for further efficacy testing of MSOS intervention.

A Pilot Urinary Proteome Study Reveals Widespread Influences of Circadian Rhythm Disruption by Sleep Deprivation

It is widely accepted that circadian rhythm disruption caused short- or long-term adverse effects on health. Although many previous studies have focused on exploration of the molecular mechanisms, there is no rapid, convenient, and non-invasive method to reveal the influence on health after circadian rhythm disruption. Here, we performed a high-resolution mass spectrometry-based data-independent acquisition (DIA) quantitative urinary proteomic approach in order to explore whether urine could reveal stress changes to those brought about by circadian rhythm disruption after sleep deprivation. After sleep deprivation, the subjects showed a significant increase in both systolic and diastolic blood pressure compared with routine sleep. More than 2000 proteins were quantified and they contained specific proteins for various organs throughout the body. And a total of 177 significantly up-regulated proteins and 68 significantly down-regulated proteins were obtained after sleep deprivation. These differentially expressed proteins (DEPs) were associated with multiple organs and pathways, which reflected widespread influences of sleep deprivation. Besides, machine learning identified a panel of five DEPs (CD300A, SCAMP3, TXN2, EFEMP1, and MYH11) that can effectively discriminate circadian rhythm disruption. Taken together, our results validate the value of urinary proteome in predicting and diagnosing the changes by circadian rhythm disruption.

Comparing the Prevalence of Sleep Disorders Among Underweight, Normal, Overweight, and Obese Adults in Riyadh, Saudi Arabia

Background Sleep disorders are prevalent worldwide and can have a negative impact on physical and psychological well-being. Numerous studies have explored the reciprocal connection between obesity and sleep disorders. This study aimed to compare the prevalence of sleep disorders among underweight, normal, overweight, and obese adults in Riyadh, Saudi Arabia. Methods This cross-sectional study was conducted on 378 adults visiting primary healthcare centers in Riyadh, Saudi Arabia, from August to November 2022. Data were collected using a self-administered questionnaire that included a section for demographic data and the SLEEP-50 questionnaire in both English and Arabic languages. Results Most of the participants were aged between 25 and 34 years (37.6%), 79.1% were females and 59.5% were either overweight or obese. Most participants (78.3%) had at least one sleep disorder, with narcolepsy being the most frequent disorder (65.1%), and 23% had two combined sleep disorders. Obese and overweight patients were significantly more likely to have sleep disorders (p=0.011), and obese patients were more likely to have all sleep disorders (p=0.049). Conclusion The prevalence of sleep disorders, namely narcolepsy and insomnia, is high among adults in Riyadh, Saudi Arabia. Moreover, sleep disorders are significantly associated with obesity. Evaluation and management of sleep disorders in clinical settings among patient with overweight or obese is important to improve their quality of life and to prevent physical and psychological complications.

Sleep patterns and quality among Nigerian medical students: A cross-sectional study

Adequate sleep is crucial for individuals' well-being and cognitive functioning. However, medical students face unique challenges that disrupt their sleep patterns, such as a rigorous curriculum, long study hours, and high-stress levels. Understanding the sleep patterns and quality among medical students in Nigeria is important to develop targeted interventions and support their overall well-being. This study involved 802 medical students from 3 medical schools in Southwest Nigeria. Participants completed an online questionnaire that collected data on their demographic characteristics, sleep patterns and self-reported sleep quality. Descriptive statistics and correlation analysis were used to analyze the data and identify patterns and associations. Most participants were female (56.9%), with the highest representation from the UNILORIN (65.5%). The average reported sleep duration was 5.74 hours per night, indicating insufficient sleep. Irregular bedtimes and wake-up times were commonly reported. A significant proportion of students consumed coffee late at night (27.1%) and used medication to induce sleep (24.3%). Sleep patterns and behaviors, such as snoring (36.1%) and nocturnal eating (57.6%), were reported. Overall, participants reported satisfactory (28.3%) or poor (29.7%) sleep quality. Correlation analysis revealed significant associations between sleep patterns, sleep quality, academic performance, and other sleep-related factors. The study identified insufficient sleep duration, irregular bedtimes, late-night coffee consumption, and poor sleep quality. These findings emphasize the need for interventions and strategies to promote healthy sleep habits among medical students, which can positively impact their overall health and academic performance.

Sleep health and quality of life in the Detroit Research on Cancer Survivors cohort

PURPOSE

Sleep disturbances represent a modifiable target to improve quality of life and longer-term outcomes in cancer survivors. However, the association between sleep health and overall quality of life in African American cancer survivors has been poorly assessed, a population at increased risk for morbidity and mortality.

METHODS

Seven hundred and eighteen Detroit Research on Cancer Survivors (ROCS) cohort participants completed a supplemental sleep survey at the time of enrollment, which included the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI). Linear and logistic regression was used to evaluate the association between sleep and mental health, while block regression models were used to estimate the contribution of clustered factors to Health-Related Quality of Life (HRQOL).

RESULTS

Nearly 60% of the cohort reported symptoms indicative of poor sleep quality on the PSQI, 15% reported excessive daytime sleepiness on the ESS, and 12% reported moderate to severe insomnia on the ISI. Survivors with elevated ISI scores reported FACT-G scores that were 17 points lower than those without symptoms of insomnia (95% CI: - 13.1, - 21.2). Poor sleep health accounted for the largest proportion of variability in FACT-G scores (R2 = 0.27) and change in R2 value (0.18) when compared to comorbidities, health behaviors, cancer-related factors, and demographics.

CONCLUSIONS

Overall sleep health was significantly associated with poorer HRQOL and variability in FACT-G scores. Additional studies investigating a causal relationship between sleep and HRQOL are needed to determine whether sleep quality could affect disparities in cancer outcomes.

IMPLICATIONS FOR CANCER SURVIVORS

Addressing sleep quality in cancer survivors may improve long-term health and HRQOL.

The relationship between autoimmune thyroid disease, thyroid nodules and sleep traits: a Mendelian randomization study

Background

Previous studies have suggested a potential association between Autoimmune thyroid disease Thyroid nodules and Sleep Traits, but the evidence is limited and controversial, and the exact causal relationship remains uncertain.

Objective

Therefore, we employed a MR analysis to investigate the causal relationship between Autoimmune thyroid disease, Thyroid nodules and Sleep Traits.

Methods

To explore the interplay between Autoimmune thyroid disease Thyroid nodules and Sleep Traits, we employed MR studies utilizing summary statistics derived from GWAS in individuals of European ancestry. To ensure robustness, multiple techniques were employed to assess the stability of the causal effect, including random-effect inverse variance weighted, weighted median, MR-Egger regression, and MR-PRESSO. Heterogeneity was evaluated using Cochran's Q value. Additionally, we investigated the presence of horizontal pleiotropy through MR-Egger regression and MR-PRESSO.

Results

The IVW method indicates a significant causal relationship between "Getting up" and autoimmune hypothyroidism, as revealed by the IVW method (OR: 0.59, 95% CI: 0.45 to 0.78, P-value = 1.99e-4). Additionally, there might be a potential correlation between sleep duration and autoimmune hypothyroidism (OR: 0.76, 95% CI: 0.60 to 0.79, P-value = 0.024). Moreover, the observed potential positive link between daytime nap and thyroid nodules (OR: 1.66, 95% CI: 1.07 to 2.58, P-value = 0.023) is subject to caution, as subsequent MR PRESSO testing reveals the presence of horizontal pleiotropy, raising concerns about the reliability of the findings. The findings suggested a potential inverse association between Autoimmune hypothyroidism and Getting up (OR: 0.99, 95% CI: 0.98 to 1.00, P-value = 6.66e-3).As the results of MR-Egger method(OR: 1.00, 95% CI: 0.98 to 1.02, P-value = 0.742) exhibited an opposing trend to that observed with the IVW method and the results did not reach significance after P-value correction.

Conclusion

The results of our study reveal a notable cause-and-effect relationship between Getting up and Autoimmune hypothyroidism, indicating its potential role as a protective factor against this condition. However, no causal connection was observed between sleep traits and Graves' disease or Thyroid nodules.

Association of COVID-19 preventive behavior and job-related stress with the sleep quality of healthcare workers one year into the COVID-19 outbreak: a Japanese cross-sectional survey

BACKGROUND

This study aimed to evaluate the association of COVID-19 preventive behavior and job-related stress with sleep quality among healthcare workers (HCWs). We conducted a cross-sectional survey using a questionnaire at the National Center of Neurology and Psychiatry, Tokyo, Japan.

METHODS

A total of 586 participants who completed the questionnaire were eligible for the study. The Pittsburgh Sleep Quality Index was used to evaluate sleep quality. We examined the level of engagement between poor sleep and COVID-19-related infection preventive behaviors, such as avoiding closed spaces, crowded places, and close contact (three Cs), a distance of at least one meter from others, wearing a face mask regularly, washing hands regularly, and working remotely, as well as job-related stress in the work environment, exposure to patients, potential risk of infection, fear of infecting others, need for social confinement, and financial instability. We conducted a hierarchical logistic regression analysis to examine the relationship between poor sleep and COVID-19 preventive behavior, job-related stress, and other covariates, including age, sex, and the Kessler Psychological Distress Scale (K6), which was used to measure non-specific psychological distress.

RESULTS

Poor sleep was observed in 223 (38.1%) participants. Adherence to COVID-19 preventive measures was relatively high: 84.1% of participants answered "always" for wearing a face mask regularly and 83.4% for washing hands regularly. In the multivariate logistic regression analysis, stress in the work environment (odds ratio [OR] = 2.09, 95% confidence interval [CI], 1.37-3.20; p < 0.001), financial instability (OR = 1.73, 95% CI, 1.12-2.67; p < 0.05), and low adherence to working remotely (OR = 1.65, 95% CI, 1.06-2.57; p < 0.05) were independently and significantly associated with poor sleep after controlling for the covariates.

CONCLUSIONS

One year into the COVID-19 pandemic, the poor sleep rates of HCWs remained high. These results emphasize the need to protect HCWs from work environment stress and financial concerns.

Lifestyle modification for mental health and well-being

Background

Unhealthy life-style leads to mental ill-health and poor quality of life and is the major determinant of a wide range of lifestyle disorders. The aim was to 1) review the work relating to life style modification for promoting mental health and 2) Present recommendations on life-style modification for mental health and wellbeing.

Material and Methods

The work on life style changes for promotion of mental health was retrieved from the scientific literature and critically reviewed.

Conclusions

Recommendations on 'Life-style modification for mental health and wellbeing' are presented. 20 specific components of healthy life style included are: Routine, time management, prayer, basic activities, reading newspaper, study/work, exercise, recreation/ relaxation/ talent promotion, education, cognitive activities, social networking, guidelines for behavior, peer group, social group, marriage/family, life skills, physical health, health education, mobile use, and digital media. The lifestyle modification package is comprehensive and geared to promote mental health and well-being.

Randomized, Double-Blind, Placebo-Controlled, Clinical Study of Passiflora incarnata in Participants With Stress and Sleep Problems

Background and objectives SIVI is a standardized extract prepared using the aerial parts of Passiflora incarnata developed to enhance the quality of sleep. ​​​​​​The objective of the present study was to the evaluate efficacy and safety of SIVI (Passiflora incarnata extract) in the management of stress and sleep problems in Indian participants in a randomized, double-blind, placebo-controlled, clinical study. Materials and methods A total of 65 participants with stress and insomnia were randomized to two groups with 32 in the SIVI (Passiflora incarnata extract) group and 33 in the placebo group. Subjects were asked to take the test substance along with water at bedtime for 30 days. The Perceived Stress Scale, quality of life using the General Health Questionnaire (GHQ-12) scale, and Insomnia Severity Index were assessed on day 1, day 15, and day 30. Results Passiflora incarnata extract showed a statistically significant reduction in the mean score of stress on the Perceived Stress Scale and significantly increased the mean score of total sleep time compared to placebo. The general psychological health was found to be significantly improved in the SIVI (Passiflora incarnata extract) group compared to the placebo group on day 15 and day 30. SIVI (Passiflora incarnata extract) did not show any adverse effects. Conclusions The results of the current study indicate that Passiflora incarnata extract is beneficial in the management of stress and helps to improve sleep quality in subjects with stress and insomnia.

Computational ensemble expert system classification for the recognition of bruxism using physiological signals

This study aimed to develop an automatic diagnostic scheme for bruxism, a sleep-related disorder characterized by teeth grinding and clenching. The aim was to improve on existing methods, which have been proven to be inefficient and challenging. We utilized a novel hybrid machine learning classifier, facilitated by the Weka tool, to diagnose bruxism from biological signals. The study processed and examined these biological signals by calculating the power spectral density. Data were categorized into normal or bruxism categories based on the EEG channel (C4-A1), and the sleeping phases were classified into wake (w) and rapid eye movement (REM) stages using the ECG channel (ECG1-ECG2). The classification resulted in a maximum specificity of 93% and an accuracy of 95% for the EEG-based diagnosis. The ECG-based classification yielded a supreme specificity of 87% and an accuracy of 96%. Furthermore, combining these phases using the EMG channel (EMG1-EMG2) achieved the highest specificity of 95% and accuracy of 98%. The ensemble Weka tool combined all three physiological signals EMG, ECG, and EEG, to classify the sleep stages and subjects. This integration increased the specificity and accuracy to 97% and 99%, respectively. This indicates that a more precise bruxism diagnosis can be obtained by including all three biological signals. The proposed method significantly improves bruxism diagnosis accuracy, potentially enhancing automatic home monitoring systems for this disorder. Future studies may expand this work by applying it to patients for practical use.

SlumberNet: deep learning classification of sleep stages using residual neural networks

Sleep research is fundamental to understanding health and well-being, as proper sleep is essential for maintaining optimal physiological function. Here we present SlumberNet, a novel deep learning model based on residual network (ResNet) architecture, designed to classify sleep states in mice using electroencephalogram (EEG) and electromyogram (EMG) signals. Our model was trained and tested on data from mice undergoing baseline sleep, sleep deprivation, and recovery sleep, enabling it to handle a wide range of sleep conditions. Employing k-fold cross-validation and data augmentation techniques, SlumberNet achieved high levels of overall performance (accuracy = 97%; F1 score = 96%) in predicting sleep stages and showed robust performance even with a small and diverse training dataset. Comparison of SlumberNet's performance to manual sleep stage classification revealed a significant reduction in analysis time (~ 50 × faster), without sacrificing accuracy. Our study showcases the potential of deep learning to facilitate sleep research by providing a more efficient, accurate, and scalable method for sleep stage classification. Our work with SlumberNet further demonstrates the power of deep learning in mouse sleep research.

Self-Completion Questionnaire on Sleep Evaluation in Patients Undergoing Oxaliplatin Therapy: An Observational Study

Sleep is a fundamental human need; sleep disruption, in fact, causes an increase in the activity of the sympathetic nervous system and the hypothalamic-pituitary-adrenal axis, metabolic effects, changes in circadian rhythms, and pro-inflammatory responses. The scientific literature is finally starting to pay attention to the central role of sleep alterations in patients health. Oxaliplatin is extensively used for the treatment of gastrointestinal cancer and other malignancies, with an increased frequency of use in recent years. This study aims to understand the effects of sleep complaints on health and quality of life in cancer patients treated with oxaliplatin. A study has been conducted through the creation and distribution of questionnaires to patients to investigate their complaints about sleep quality. We observed significant differences between males and females in evaluating sleep hygiene scores, the Pittsburgh Sleep Quality Index, and previous difficulty sleeping. Moreover, in females, stress, worries, and anxiety seem to play a negative role in the sleep hygiene score. The obtained results could improve the interest of healthcare personnel and caregivers in sleep quality in patients undergoing chemotherapy.

Poor quality of sleep and musculoskeletal pains among highly trained and elite athletes in Senegal

BACKGROUND

Previous studies reported that poor sleep quality (PSQ) was associated with musculoskeletal pains (MSP) and poor physical performance in athletes.

OBJECTIVE

The current study aimed at determining PSQ and its associations with MSP in some sub-Saharan athletes.

METHODS

A cross sectional study was conducted among 205 highly trained and 115 elite athletes (aged: 25 ± 2 years, Body mass index: 22.8 ± 0.9 kg/m2) in Dakar, Senegal, during a competitive season in a variety of sport disciplines including athletics, basketball, football, rugby, wrestling, tennis. Quality of sleep and MSP were assessed using the French version Pittsburgh Sleep Quality Index (PSQI) and French version of Nordic questionnaire respectively. Pain on body joints during a week was defined as seven-day MSP (MSP-7d) and PSQ for a PSQI > 5.

RESULTS

27.8% (95%CI: 23.2-32.9) of the overall sample suffered PSQ, with 33.7% (95%CI: 24.7-44.0) in basketball and 24.7% (95%CI: 16.9-34.6) in football. According to athletic status and gender, PSQ was more prevalent among highly trained (66.3; 95%CI: 55.9-75.3) and men (69.7%; 95%CI: 59.5-78.7). Among athletes with PSQ 43.8% (95%CI: 33.9-54.2) suffered MSP-7d, with 36.6%; highly trained (95%CI: 23.7-42.9) and 28.1% female. Considering body region, hips/thigh (14.6%; 95% CI: 8.74-23.4) and upper back (13.5%; 95%CI: 7.88 -21, 1) were more affected. Basketball players were more affected from MSP (MSP-7d = 38.5%; 95%CI: 24. 9-54.1) on high on wrists/hands (MSP-7d = 44.4%; 95%CI: 18.9 -73.3; P = 0.04). Based on athletic status, MSP-7d were higher on highly trained necks (100%; 95%CI: 56.1-100; p = 0.04). PSQ was associated with basketball (OR: 3.062, 95%CI: 1.130-8.300, p = 0.02) compared to Athletic. PSQ and MSP-7d were associated on Wrist/hands (OR: 3.352, 95%CI: 1.235-9.099, p = 0.01), and at the upper back (OR: 5.820, 95%CI: 2.096-16.161, p = 0.0007).

CONCLUSION

These results indicate that PSQ is considerable among Senegalese athletes and is associated with MSP during a week. Hence, we recommend to look for strategies optimizing good quality of sleep in order to reduce pains, to improve health.

Bifidobacterium longum 1714 improves sleep quality and aspects of well-being in healthy adults: a randomized, double-blind, placebo-controlled clinical trial

Stress and sleep are linked with overall well-being. Bifidobacterium longum 1714 has been shown to influence stress responses and modulate neural responses during social stress, and influence sleep quality during examination stress in healthy adults. Here, we explored the ability of this strain to alter sleep quality in adults using subjective and objective measures. Eighty-nine adults (18-45y) with impaired sleep quality assessed with the Pittsburgh Sleep Quality Index (PSQI) and with a global score ≥ 5 were randomized to receive B. longum 1714 or placebo daily for eight weeks. Assessing the effect of the strain on PSQI global score was the primary objective. Secondary objectives assessed sleep quality and well-being subjectively and sleep parameters using actigraphy objectively. While PSQI global score improved in both groups, B. longum 1714 significantly improved the PSQI component of sleep quality (p < 0.05) and daytime dysfunction due to sleepiness (p < 0.05) after 4 weeks and social functioning (p < 0.05) and energy/vitality (p < 0.05) after 8 weeks, compared to placebo. No significant effect on actigraphy measures were observed. The 1714 strain had a mild effect on sleep, demonstrated by a faster improvement in sleep quality at week 4 compared to placebo, although overall improvements after 8 weeks were similar in both groups. B. longum 1714 improved social functioning and increased energy/vitality in line with previous work that showed the strain modulated neural activity which correlated with enhanced vitality/reduced mental fatigue (ClinicalTrials.gov: NCT04167475).

The impact of different data handling strategies in exploratory and confirmatory factor analysis of diary measures: an evaluation using simulated and real-world asthma nighttime symptoms diary data

BACKGROUND

Daily diaries are an important modality for patient-reported outcome assessment. They typically comprise multiple questions, so understanding their underlying structure is key to appropriate analysis and interpretation. Structural evaluation of such measures poses challenges due to the high volume of repeated measurements. Potential strategies include selecting a single day, averaging item-level observations over time, or using all data while accounting for its multilevel structure.

METHOD

The above strategies were evaluated in a simulated dataset via exploratory and confirmatory factor modelling by comparing their impact on various estimates (i.e., inter-item correlations, factor loadings, model fit). Each strategy was additionally explored using real-world data from an observational study (the Asthma Nighttime Symptoms Diary).

RESULTS

Both single day and item average strategies resulted in biased factor loadings. The former displayed lower overall bias (single day: 0.064; item average: 0.121) and mean square error (single day: 0.007; item average: 0.016) but greater frequency of incorrect factor number identification compared with the latter (single day: 46.4%; item average: 0%). Increased estimated inter-item correlations were apparent in the item-average method. Non-trivial between- and within-person variance highlighted the utility of a multilevel approach. However, convergence issues and Heywood cases were more common under the multilevel approach (90.2% and 100.0%, respectively).

CONCLUSIONS

Our findings suggest that a multilevel approach can enhance our insight when evaluating the structural properties of daily diary data; however, implementation challenges still remain. Our work offers guidance on the impact of data handling decisions in diary assessment.

Sleepless behind bars: the connection between mental health, environment, and sleep among women in jail

Study Objectives

Given the barriers to good sleep in corrections facilities and the lack of research in this area, the current study aimed to characterize sleep quality and insomnia incidence in women in jail. Furthermore, we aimed to investigate the relation of sleep to depression, posttraumatic stress disorder (PTSD), and trauma exposure in incarcerated women. Lastly, we examined self-reports of environmental and individual factors that impaired sleeping in this population.

Methods

Participants included 176 women incarcerated in two jails in southeast Idaho. Participants were randomly selected to complete several self-report questionnaires, including the Pittsburgh Sleep Quality Index and the Insomnia Severity Index, verbally administered by interviewers.

Results

A majority of participants endorsed poor sleep quality (76%) and subthreshold or higher levels of insomnia (70%). Multiple regression analyses found that depressive symptoms and PTSD symptoms were both significantly related to insomnia and poor sleep quality. Excessive noise, poor bedding, and mental health were commonly cited factors that disrupted sleep.

Conclusions

These results are consistent with previous literature that has examined these outcomes in prison populations and incarcerated populations in other countries. Correctional facilities can consider altering environmental factors that impair sleep to not only promote better overall health but also as a way to address common manifestations of poor mental health in their inmate populations. Screening for and treating mental health problems, namely depression and PTSD, is another way these facilities can improve inmate health and promote better sleep.

Impact of traditional Chinese Baduanjin exercise on menstrual health among international female students studying in China: a randomized controlled trial

Background

Menstrual symptoms were the common complaints of international female students during the acculturation period, and the symptoms negatively affected the daily life and school performance of those women. The present study aimed to evaluate the effectiveness of the traditional Chinese Baduanjin exercise on reducing menstrual symptoms for international female students studying in China during the acculturation period.

Methods

We conducted a randomized controlled trial among 62 international female students who suffered menstrual symptoms during the first 6 months after arriving in China. The study was carried out at three campuses of the two largest universities in the capital of a province in south-central China from March to October 2021. After screening, participants were randomly assigned to a control or intervention group. The intervention group engaged in 24 weeks of Baduanjin exercise for at least 30 min per day. The menstrual symptoms, sociocultural adaptation, perceived stress, and sleep quality were evaluated at baseline, the 12th week, and the 24th week. The chi-square test or Fisher's exact test, paired sample t-test, and multivariate analysis of variance (MANOVA)were adopted to analyze the data using SPSS 25.0.

Results

Totally, 62 participants were enrolled in this study from 30 countries. Their mean age was 27.87 ± 5.58 years. None of the participants reported an adverse event. The results of the MANOVA test showed that the traditional Chinese Baduanjin exercise reduced the total score of MSQ among international female students (intervention: 47.83 ± 8.71 vs. control: 65.12 ± 16.86; F = 19.49, P < 0.01). In addition, the results of the MANOVA indicated statistically significant decreases in scores for the two subscales of MSQ: premenstrual symptoms (intervention: 17.07 ± 3.33 vs. control: 28.42 ± 7.56; F = 44.70, P < 0.01)and menstrual pain (16.03 ± 4.53 vs. 19.58 ± 5.14; F = 6.50, P < 0.05). Moreover, the results showed that traditional Chinese Baduanjin exercise reduced the scores of the sociocultural adaptation level, the perceived stress level, and sleep quality and improved the blood progesterone hormone and blood estrogen hormone.

Conclusion

Regular Baduanjin exercise is a safe, acceptable, and effective form of exercise to promote international female students' menstrual health, reduce stress levels, and improve sleep quality.

Trial registration

www.chictr.org.cn, Chinese Clinical Trial Registry: ChiCTR2300072376.

Associations of a multidimensional polygenic sleep health score and a sleep lifestyle index on health outcomes and their interaction in a clinical biobank

Sleep is a complex behavior regulated by genetic and environmental factors, and is known to influence health outcomes. However, the effect of multidimensional sleep encompassing several sleep dimensions on diseases has yet to be fully elucidated. Using the Mass General Brigham Biobank, we aimed to examine the association of multidimensional sleep with health outcomes and investigate whether sleep behaviors modulate genetic predisposition to unfavorable sleep on mental health outcomes. First, we generated a Polygenic Sleep Health Score using previously identified single nucleotide polymorphisms for sleep health and constructed a Sleep Lifestyle Index using data from self-reported sleep questions and electronic health records; second, we performed phenome-wide association analyses between these indexes and clinical phenotypes; and third, we analyzed the interaction between the indexes on prevalent mental health outcomes. Fifteen thousand eight hundred and eighty-four participants were included in the analysis (mean age 54.4; 58.6% female). The Polygenic Sleep Health Score was associated with the Sleep Lifestyle Index (β=0.050, 95%CI=0.032, 0.068) and with 114 disease outcomes spanning 12 disease groups, including obesity, sleep, and substance use disease outcomes (p<3.3×10-5). The Sleep Lifestyle Index was associated with 458 disease outcomes spanning 17 groups, including sleep, mood, and anxiety disease outcomes (p<5.1×10-5). No interactions were found between the indexes on prevalent mental health outcomes. These findings suggest that favorable sleep behaviors and genetic predisposition to healthy sleep may independently be protective of disease outcomes. This work provides novel insights into the role of multidimensional sleep on population health and highlights the need to develop prevention strategies focused on healthy sleep habits.

General somatic health and lifestyle habits in individuals with obsessive- compulsive disorder: an international survey

BACKGROUND

Obsessive-compulsive disorder (OCD) has been associated with a broad range of health-related issues. Unhealthy lifestyle habits such as physical inactivity, an unhealthy diet, smoking, and alcohol consumption are hypothesized to contribute to this association. However, the lifestyle habits of individuals with OCD have been scarcely investigated. In this international survey, we explored the physical health and lifestyle habits of adults with a self-reported diagnosis of OCD.

METHODS

An online global survey available in seven languages was disseminated through interest organizations and social media between July 2021 and March 2022. The survey included questions relating to socio-demographic variables and clinical characteristics (including OCD symptom severity - as measured with the 12-item self-report scale Obsessive-Compulsive Inventory [OCI-12] - and psychotropic medication), physical health, and lifestyle habits. Frequencies and percentages, or means and standard deviations, as appropriate, were calculated. Subgroup analyses by OCD symptom severity, gender, and age group were performed.

RESULTS

A total of 496 individuals with OCD completed the survey and were included in the analyses (mean age = 36.0 years, SD = 12.5, range 18-79; 78.8% women). Most participants were from Europe (n = 245, 49.4%) and North America (n = 187, 37.7%). OCD symptom severity scores were on the moderate range (OCI-12 mean score = 21.2, SD = 9.1). A majority (n = 354, 71.4%) reported having comorbid somatic health issues, mainly allergies, gastrointestinal conditions, and cardiometabolic conditions. Nearly half of the sample (n = 236, 47.6%) reported a body mass index ≥ 25, corresponding to at least overweight. A significant proportion of the participants reported low physical activity (n = 271, 55.0%), unhealthy dietary habits (n = 182, 36.7%), risk consumption of alcohol (n = 111, 22.3%), and non-restorative sleep (n = 268, 54.0%). Subgroup analyses showed overall similar results across groups, with some exceptions.

CONCLUSIONS

In this sample, individuals with OCD self-reported a range of health-related issues and a number of unhealthy lifestyle behaviors, most prominently a lack of physical activity. Interventions aimed at modifying unhealthy lifestyles to prevent or improve health conditions beyond the psychiatric symptoms should be considered.

Sleep quality in individuals with post-COVID-19 condition: Relation with emotional, cognitive and functional variables

The study aimed to assess sleep quality in PCC patients and its predictors by analysing its relationship with emotional, cognitive and functional variables, as well as possible differences based on COVID-19 severity. We included 368 individuals with PCC and 123 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 and NCT05307575). We assessed sleep quality (Pittsburgh Sleep Quality Index, PSQI), anxiety (Generalized Anxiety Disorder, GAD-7), depression (Patient Health Questionnaire, PHQ-9), global cognition (Montreal Cognitive Assessment, MoCA), everyday memory failures (Memory Failures of Everyday Questionnaire, MFE-30), fatigue (Chadler Fatigue Questionnaire, CFQ), quality of life (European Quality of Life-5 Dimensions, EQ-5D), and physical activity levels (International Physical Activity Questionnaire, IPAQ). 203 were nonhospitalized, 83 were hospitalized and 82 were admitted to the intensive care unit (ICU). We found statistically significant differences in the PSQI total score between the PCC and HC groups (p < 0.0001), but there were no differences among the PCC groups. In the multiple linear regressions, the PHQ-9 score was a predictor of poor sleep quality for mild PCC patients (p = 0.003); GAD-7 (p = 0.032) and EQ-5D (p = 0.011) scores were predictors of poor sleep quality in the hospitalized PCC group; and GAD-7 (p = 0.045) and IPAQ (p = 0.005) scores were predictors of poor sleep quality in the group of ICU-PCC. These results indicate that worse sleep quality is related to higher levels of depression and anxiety, worse quality of life and less physical activity. Therapeutic strategies should focus on these factors to have a positive impact on the quality of sleep.

Health position paper and redox perspectives - Disease burden by transportation noise

Transportation noise is a ubiquitous urban exposure. In 2018, the World Health Organization concluded that chronic exposure to road traffic noise is a risk factor for ischemic heart disease. In contrast, they concluded that the quality of evidence for a link to other diseases was very low to moderate. Since then, several studies on the impact of noise on various diseases have been published. Also, studies investigating the mechanistic pathways underlying noise-induced health effects are emerging. We review the current evidence regarding effects of noise on health and the related disease-mechanisms. Several high-quality cohort studies consistently found road traffic noise to be associated with a higher risk of ischemic heart disease, heart failure, diabetes, and all-cause mortality. Furthermore, recent studies have indicated that road traffic and railway noise may increase the risk of diseases not commonly investigated in an environmental noise context, including breast cancer, dementia, and tinnitus. The harmful effects of noise are related to activation of a physiological stress response and nighttime sleep disturbance. Oxidative stress and inflammation downstream of stress hormone signaling and dysregulated circadian rhythms are identified as major disease-relevant pathomechanistic drivers. We discuss the role of reactive oxygen species and present results from antioxidant interventions. Lastly, we provide an overview of oxidative stress markers and adverse redox processes reported for noise-exposed animals and humans. This position paper summarizes all available epidemiological, clinical, and preclinical evidence of transportation noise as an important environmental risk factor for public health and discusses its implications on the population level.

Preconception sleep duration, non-daytime work schedules, and incidence of spontaneous abortion: a prospective cohort study

STUDY QUESTION

To what extent do self-reported sleep duration and non-daytime work schedules in either partner affect the rate of spontaneous abortion (SAB)?

SUMMARY ANSWER

Incidence of SAB had little association with female sleep duration and a modest positive association with male short sleep duration, female work at night, and discrepant work schedules among partners.

WHAT IS KNOWN ALREADY

Several studies have reported an association between short sleep duration in either partner and reproductive health outcomes, including fecundability. Moreover, certain types of female occupational exposures during pregnancy have been associated with an increased risk of SAB. No studies have evaluated SAB risk in relation to male sleep and work schedules, or joint exposures within a couple.

STUDY DESIGN, SIZE, DURATION

This prospective cohort study included 9357 female participants and 2602 of their male partners residing in North America (June 2013 to April 2023).

PARTICIPANTS/MATERIALS, SETTING, METHODS

Participants enrolled when they were attempting pregnancy and completed self-administered baseline questionnaires about their average sleep duration and work schedules. Among those who conceived, we ascertained SAB and gestational age at loss via follow-up questionnaires. We used multivariable Cox proportional hazards models with gestational weeks as the time scale to estimate hazard ratios (HRs) and 95% CIs relating SAB with sleep duration and non-daytime work schedules for female and male participants, and the couple. We used inverse probability weighting to account for potential selection bias due to the possibility of differential participation of male partners with respect to the exposures.

MAIN RESULTS AND THE ROLE OF CHANCE

Compared to female participants with recommended sleep (7-8.9 h), those reporting short sleep duration (<6 h) did not have a higher rate of SAB (HR 0.88, 95% CI 0.69, 1.13). Short self-reported sleep duration among male participants was modestly associated with a higher rate of SAB (adjusted and weighted HR 1.30, 95% CI 0.96, 1.75). Female night work at night (adjusted HR 1.19, 95% CI 1.02, 1.38) and male non-daytime work (adjusted and weighted HR 1.26, 95% CI 1.00, 1.59) were associated with modestly higher rates of SAB, whereas female rotating shift work was not (adjusted HR 0.91, 0.78, 1.05) compared with daytime workers. Couples in which work schedules were discrepant had an elevated rate of SAB if the male partner worked a non-daytime shift (adjusted and weighted HR 1.46, 95% CI 1.13, 1.88) compared with couples in which both members worked during the day. The corresponding HR if only the female partner worked a non-daytime shift was 1.21 (95% CI 0.92, 1.58).

LIMITATIONS, REASONS FOR CAUTION

Data on sleep duration and work schedules were based on self-report, which is vulnerable to misclassification, particularly since participants were asked to report their average sleep duration during the past month. Work exposures were heterogeneous, as many different types of employment may require night and shift work and may have different associations with SAB.

WIDER IMPLICATIONS OF THE FINDINGS

Our findings are consistent with previous research indicating that some types of female employment schedules may be associated with SAB incidence. This is the first study to indicate a relationship between SAB and male employment schedules, indicating that discrepant work schedules within a couple might be relevant.

STUDY FUNDING/COMPETING INTEREST(S)

This work was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development grants R01HD105863 (PIs: L.A.W. and M.L.E.), R01HD086742 (PIs: L.A.W. and E.E.H.), and R21HD072326 (PI: L.A.W.). PRESTO has received in-kind donations from Swiss Precision Diagnostics and Kindara.com for primary data collection. L.A.W. is a consultant for AbbVie, Inc. and the Gates Foundation. M.L.E. is an advisor for and holds stock in Ro, Hannah, Dadi, Underdog, Vseat, & Doveras. The other authors have no competing interests to declare.

TRIAL REGISTRATION NUMBER

N/A.

Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency-modulated continuous-wave radar

Given the significant impact of sleep on overall health, radar technology offers a promising, non-invasive, and cost-effective avenue for the early detection of sleep disorders, even prior to relying on polysomnography (PSG)-based classification. In this study, we employed an attention-based bidirectional long short-term memory (Attention Bi-LSTM) model to accurately predict sleep stages using 60 GHz frequency-modulated continuous-wave (FMCW) radar. Our dataset comprised 78 participants from an ongoing obstructive sleep apnea (OSA) cohort, recruited between July 2021 and November 2022, who underwent overnight polysomnography alongside radar sensor monitoring. The dataset encompasses comprehensive polysomnography recordings, spanning both sleep and wakefulness states. The predictions achieved a Cohen's kappa coefficient of 0.746 and an overall accuracy of 85.2% in classifying wakefulness, rapid-eye-movement (REM) sleep, and non-REM (NREM) sleep (N1 + N2 + N3). The results demonstrated that the models incorporating both Radar 1 and Radar 2 data consistently outperformed those using only Radar 1 data, indicating the potential benefits of utilising multiple radars for sleep stage classification. Although the performance of the models tended to decline with increasing OSA severity, the addition of Radar 2 data notably improved the classification accuracy. These findings demonstrate the potential of radar technology as a valuable screening tool for sleep stage classification.

MS care: integrating advanced therapies and holistic management

Lifestyle and environmental factors are key determinants in disease causality and progression in neurological conditions, including multiple sclerosis (MS). Lack of exercise, poor diet, tobacco smoking, excessive alcohol intake, social determinants of health, concomitant medications, poor sleep and comorbidities can exacerbate MS pathological processes by impacting brain health and depleting neurological reserves, resulting in more rapid disease worsening. In addition to using disease-modifying therapies to alter the disease course, therapeutic strategies in MS should aim to preserve as much neurological reserve as possible by promoting the adoption of a "brain-healthy" and "metabolically-healthy" lifestyle. Here, we recommend self-regulated lifestyle modifications that have the potential to improve brain health, directly impact on disease progression and improve outcomes in people with MS. We emphasise the importance of self-management and adopting a multidisciplinary, collaborative and person-centred approach to care that encompasses the healthcare team, family members and community support groups.

Bedtime negative affect, sleep quality and subjective health in rural China

BACKGROUND

The overall level of negative affect (NeA) has been linked to impaired health. However, whether the diurnal timing of NeA matters and whether the NeA-health relationship is mediated by sleep quality remain unclear.

METHODS

Using a longitudinal dataset (2006, 2009 and 2014 waves) consisting of 1959 participants, we examined the within-person impact of both bedtime NeA and non-bedtime NeA measured by Day Reconstruction Method (DRM) on subjective health measured by Visual Analogue Scale (VAS), and the mediating effect of sleep quality on the NeA-health relationships by fixed effect models.

RESULTS

Bedtime NeA predicted poorer health, while non-bedtime NeA was unrelated to health. The deleterious impact of bedtime NeA reduced and became non-significant after sleep quality was controlled for. Bedtime NeA also significantly predicted impaired sleep quality.

CONCLUSIONS

Bedtime NeA is a stronger predictor of poorer health than non-bedtime NeA, and the deleterious influence of bedtime NeA on health seems to operate through poor sleep quality. Therefore, interventions to reduce bedtime NeA could potentially improve subsequent sleep quality, thereby protecting people to some extent from impaired health status.

Orexin Receptor Antagonism: Normalizing Sleep Architecture in Old Age and Disease

Sleep is essential for human well-being, yet the quality and quantity of sleep reduce as age advances. Older persons (>65 years old) are more at risk of disorders accompanied and/or exacerbated by poor sleep. Furthermore, evidence supports a bidirectional relationship between disrupted sleep and Alzheimer's disease (AD) or related dementias. Orexin/hypocretin neuropeptides stabilize wakefulness, and several orexin receptor antagonists (ORAs) are approved for the treatment of insomnia in adults. Dysregulation of the orexin system occurs in aging and AD, positioning ORAs as advantageous for these populations. Indeed, several clinical studies indicate that ORAs are efficacious hypnotics in older persons and dementia patients and, as in adults, are generally well tolerated. ORAs are likely to be more effective when administered early in sleep/wake dysregulation to reestablish good sleep/wake-related behaviors and reduce the accumulation of dementia-associated proteinopathic substrates. Improving sleep in aging and dementia represents a tremendous opportunity to benefit patients, caregivers, and health systems.

The association between loneliness, social isolation, and sleep disturbances in older adults: A follow-up study from the Swedish good aging in Skåne project

Objectives

The aim of this follow-up study was to investigate whether loneliness and social isolation in a sample of older adults, mean age of 67.4 years at baseline examination, were associated with sleep disturbances at re-examination at a mean age of 76.4 years.

Methods

The study sample consisted of 2897 participants. Data on loneliness, social isolation, and sleep disturbances were collected through questionnaires and medical examinations. Logistic regression models were constructed to identify associations between levels of loneliness and social isolation at baseline and sleep disturbances at follow-up. Sociodemographic and health-related confounding factors were controlled for in the models.

Results

Sleep disturbances were reported by 25.6% (95% CI: 24.0%-27.2%) at baseline and 23.7% (95% CI: 22.1%-25.3%) at re-examination. Odds ratios for sleep disturbances at re-examination in relation to not being lonely or socially isolated were as follows: single occasions of loneliness (OR: 1.37, 95% CI: 1.05-1.78), recurring periods/constant loneliness (OR: 1.92, 95% CI: 1.01-1.99), less severe social isolation (OR: 1.18, 95% CI: 0.78-1.79), and severe social isolation (OR: 1.88, 95% CI: 1.01-3.49).

Discussion

Sleep disturbances are common among older adults and are associated with loneliness and social isolation. Healthcare professionals should be aware of the potential effects of loneliness and social isolation when investigating sleep disturbances in older adults.

Identification of sleep and circadian alternative polyadenylation sites associated with APA-linked human brain disorders

Sleep and circadian rhythm disruptions are comorbid features of many pathologies and can negatively influence numerous health conditions, including degenerative diseases, metabolic illnesses, cancer, and various neurological disorders. Genetic association studies linking sleep and circadian disturbances with disease susceptibility have mainly focused on changes in gene expression due to mutations, such as single-nucleotide polymorphisms. Thus, associations between sleep and/or circadian rhythm and alternative polyadenylation (APA), particularly in the context of other health challenges, are largely undescribed. APA is a process that generates various transcript isoforms from the same gene, resulting in effects on mRNA translation, stability, localization, and subsequent function. Here, we have identified unique APAs in rat brain that exhibit time-of-day-dependent oscillations in expression as well as APAs that are altered by sleep deprivation and the subsequent recovery period. Genes affected by APA usage include Mapt/Tau, Ntrk2, Homer1A, Sin3band Sorl. Sorl1 has two APAs which cycle with a 24 h period, one additional APA cycles with a 12 h period and one more that is reduced during recovery sleep. Finally, we compared sleep- or circadian-associated APAs with recently described APA-linked brain disorder susceptibility genes and found 46 genes in common.

Impact of Medical School on the Relationship between Nutritional Knowledge and Sleep Quality-A Longitudinal Study of Students at Wroclaw Medical University in Poland

The aim of this study was to investigate the impact of the first year of medical school on the relationship between nutritional knowledge and sleep. To achieve this, first-year medical students at Wroclaw Medical University were invited to participate in the study during both the initial and final months of their first academic year. The study included 570 students in the initial period and 705 in the latter. The research questionnaire comprised the KomPAN, assessing nutritional knowledge, and the Pittsburgh Sleep Quality Index (PSQI), evaluating sleep quality. The majority of students demonstrated at least sufficient nutritional knowledge, while approximately two-thirds of students experienced poor sleep in both periods. Notably, sleep quality further deteriorated in the second period (PSQI total score: 6.86 vs. 7.38, p = 0.0157). This change was influenced mainly by a decrease in sleep duration and an increase in the use of sleep medications (both p < 0.0001). The significant difference in overall sleep quality between different nutritional knowledge levels emerged only in the second semester, where students with the highest nutritional knowledge slept the best, while those with the lowest slept the worst (p = 0.0001). Crucially, in both periods, the use of sleep medications was highest among individuals with insufficient nutritional knowledge. Throughout the academic year, the usage increased for all except those with the highest nutritional knowledge, who exhibited the best sleep (p < 0.0001). The escalating use of sleep medications among medical students warrants greater attention, and leveraging the relationship between nutritional knowledge and sleep could prove beneficial, as positive habits in one domain may positively influence the other.

Toward sleep health as a focus of physical therapy practice: one lecture can positively impact sleep knowledge and beliefs in entry-level students

BACKGROUND

Challenges to integrating health promotion including sleep health into entry-level physical therapist curricula include lack of faculty expertise, time, and support. A lecture provided by a content expert may mitigate such challenges. The purpose of this study was to determine if a sleep education session impacts Doctor of Physical Therapy students' knowledge and beliefs about sleep.

METHODS

Faculty shared the opportunity to participate in the study 1-3 days prior to the remotely-provided lecture including sleep health assessment and interventions. The survey included demographics, a sleep health knowledge question, 11 questions on "What I think about sleep as a professional", and the 20-item Sleep Beliefs Scale. McNemar's and paired sample t-tests determined change in knowledge and beliefs.

RESULTS

209 individuals (70% female, 86% Caucasian, 25.5 ± 3.4 years old) completed the pre-lecture survey, and 137 individuals completed the post-lecture survey. There was an increase in knowledge about sleep health (p < .001) and change in Sleep Beliefs Scales score (p < .001).

CONCLUSIONS

A single remotely provided sleep education session increased DPT students' knowledge and changed their beliefs about sleep. Future studies should determine if these positive beliefs about sleep translate into clinical practice and enhance patient outcomes.

Standardized Extract of Valeriana officinalis Improves Overall Sleep Quality in Human Subjects with Sleep Complaints: A Randomized, Double-Blind, Placebo-Controlled, Clinical Study

INTRODUCTION

Sleep deficit or poor sleep leads to ill-health, whereas sleep deprivation for longer periods of time increases the risk of developing adverse conditions associated with poor quality of life, and high socioeconomic impact. The treatments for sleep disturbances include melatonin and over-the-counter medicines like diphenhydramine and doxylamine, all of which have negative side effects. Valerian (Valeriana officinalis L.) is a traditional herb and the most preferred alternate sleep solution to manage sleep complaints.

METHODS

Eighty adult subjects with sleep complaints were randomized in 1:1 ratio to receive either V. officinalis extract (VE) or placebo for 8 weeks in a double-blind, placebo-controlled, parallel, clinical study. Primary efficacy endpoints included the Pittsburgh Sleep Quality Index (PSQI) and sleep latency using wrist actigraphy (WA), as well as a number of secondary endpoints, including sleep parameters such as actual sleep time and sleep efficiency using WA, the Epworth Sleepiness Scale (ESS), the Beck Anxiety Inventory (BAI), the Visual Analogue Scale (VAS) for the feeling of waking up refreshed, and a tertiary endpoint of sleep parameters using polysomnography (PSG) in a subset of 20 subjects per group. Safety parameters included physical examination, vital sign measurements, hematology, and clinical chemistry tests. Adverse events and serious adverse events were monitored throughout the study period.

RESULTS

Seventy-two subjects (35 and 37 subjects in the placebo and VE groups, respectively) completed the study and were included in the efficacy assessments. On Days 14, 28, and 56, the PSQI Total Score in the VE group decreased significantly (p < 0.05) compared to the placebo group. Further, the VE group showed significant improvements (p < 0.05) in sleep latency and actual sleep time on Days 3, 14, 28, and 56, and sleep efficiency on Days 14, 28, and 56, as evaluated by WA. There was a decrease (p < 0.05) in anxiety (BAI) on Days 14, 28, and 56, daytime drowsiness (ESS) on Days 28 and 56, and an increased feeling of waking up refreshed (VAS) on Days 28 and 56 compared to placebo. PSG results carried out in subset of subjects revealed significant improvements (p < 0.05) in total sleep time, sleep latency, and sleep efficiency on Day 56 in the VE group compared to the placebo group. No safety concerns were observed throughout the study.

CONCLUSION

VE supplementation significantly improved various subjective and objective parameters of sleep in young subjects with mild insomnia symptoms, such as overall sleep quality, sleep latency, sleep efficiency, and total sleep time. We also observed decreased anxiety and daytime sleepiness, and improved feeling of being refreshed after waking up with VE supplementation. VE was found to be safe and well tolerated throughout the study.

TRIAL REGISTRATION

Clinical Trials Registry of India: CTRI/2022/05/042818.

Confirmatory study of the usefulness of quantum molecular resonance and microdissectomy for the treatment of lumbar radiculopathy in a prospective cohort at 6 months follow-up

OBJECTIVES

Low back pain is a common musculoskeletal complaint and while prognosis is usually favorable, some patients experience persistent pain despite conservative treatment and invasive treatment to target the root cause of the pain may be necessary. The aim of this study is to evaluate patient outcomes after treatment of lumbar radiculopathy (LR) with quantum molecular resonance radiofrequency coblation disc decompression and percutaneous microdiscectomy with grasper forceps (QMRG).

METHODS

This prospective cohort study was carried out in two Spanish hospitals on 58 patients with LR secondary to a contained hydrated lumbar disc hernia or lumbar disc protrusion of more than 6 months of evolution, which persisted despite conservative treatment with analgesia, rehabilitation, and physiotherapy, and/or epidural block, in the previous 2 years. Patients were treated with QMRG and the outcomes were measured mainly using the Douleur Neuropathique en 4 Questions, Numeric Rating Scale, Oswestry Disability Index, SF12: Short Form 12 Health Survey, Patient Global Impression of Improvement, Clinical Global Impression of Improvement, and Medical Outcomes Study Sleep Scale.

RESULTS

Patients who received QMRG showed significant improvement in their baseline scores at 6 months post-treatment. The minimal clinically important difference (MCID) threshold was met by 26-98% of patients, depending on the outcome measure, for non-sleep-related outcomes, and between 17 and 62% for sleep-related outcome measures. Of the 14 outcome measures studied, at least 50% of the patients met the MCID threshold in 8 of them.

CONCLUSION

Treatment of LR with QMRG appears to be effective at 6 months post-intervention.

Toward the Internet of Medical Things: Architecture, trends and challenges

In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and safety, such as cost-effective medical solutions, more convenient healthcare and quick hospital treatments, which make it easier for the Internet of Medical Things (IoMT) to evolve. The study first presents an overview of the IoMT before introducing the IoMT architecture. Later, it portrays an overview of the core technologies of the IoMT, including cloud computing, big data and artificial intelligence, and it elucidates their utilization within the healthcare system. Further, several emerging challenges, such as cost-effectiveness, security, privacy, accuracy and power consumption, are discussed, and potential solutions for these challenges are also suggested.

Effects of lifestyle behaviours and depressed mood on sleep quality in young adults. A machine learning approach

BACKGROUND

Modern lifestyles may lead to high stress levels, frequently associated with mood disorders (e.g. depressed mood) and sleep disturbance. The objective of this study was to develop a machine learning model aimed at identifying risk factors for developing poor sleep quality in young adults.

MATERIAL AND METHODS

The sample consisted of 383 college-aged students (mean age ± SD: 21 ± 1 years; 61% males). Sleep quality, mood state, physical activity, number of sitting hours, and smartphone use were measured.

RESULTS

A decision tree algorithm distinguished participants' sleep quality with 74% accuracy using a combination of four features: depressed mood, physical activity, sitting time, and vigour. Together with depressed mood, both physical activity (>6432 metabolic equivalent tasks -METs- per week) and sedentary behaviour (sitting time greater than 7 h/day) were the primary features that could differentiate those with poor sleep quality from those with good sleep quality.

CONCLUSIONS

We provided a decision tree model with a sensitivity of 90.7% and a specificity of 54.3%, with an AUC of 0.725. These findings could promote improvements in prevention strategies and contribute to the development of meaningful and evidence-based intervention programs.

Shift schedule effects on firefighter health and fitness

BACKGROUND

Firefighter health is of utmost importance both to first responders and the individuals they serve daily. The impact of shift schedule on firefighter health remains poorly understood.

OBJECTIVE

The purpose of this study was to examine differences in health and performance outcomes in firefighters across two different shift schedules.

METHODS

Firefighter (N = 1995) body composition, muscular strength, endurance, flexibility, and cardiorespiratory endurance were assessed and described. A Mann-Whitney U test was conducted to compare differences between shift schedules (48/96 and 4's and 6's).

RESULTS

There was a statistically significant difference in BMI (U = 70115, z=-1.988, p = .047), BF% (U = 67341, z=-2.779, p = .005), and trunk flexion score (U = 81362, z = 1.979, p = .048) favoring the 48/96 shift schedule.

CONCLUSION

Firefighters following a 48/96 shift schedule exhibited improved body composition and fitness performance in comparison to peers who followed a 4's and 6's shift schedule. Findings may guide regional firefighter scheduling to optimize health and performance.

Parent-Report Sleep Disturbances and Everyday Executive Functioning Difficulties in Children with Tourette Syndrome

There is an increasing need to identify and treat sleep disturbances in Tourette syndrome (TS), a neurodevelopmental condition characterized by tics. This study explored sleep, tics, and executive functioning in children with TS (n=136) and neurotypical controls (n=101) through parent-report scales and open-ended questions. 85% of children with TS scored in the clinical range for a sleep disorder. Higher tic severity predicted increased sleep disturbances and executive difficulties. Qualitative insights indicated a bidirectional link between sleep and tics, which warrants consideration in clinical settings. Further research is needed to explore causal links.

Investigating the relationship between sleep disturbances and white matter hyperintensities in older adults on the Alzheimer's disease spectrum

INTRODUCTION

While studies report that sleep disturbance can have negative effects on brain vasculature, its impact on cerebrovascular diseases such as white matter hyperintensities (WMHs) in beta-amyloid-positive older adults remains unexplored.

METHODS

Sleep disturbance, WMH burden, and cognition in normal controls (NCs), and individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD), were examined at baseline and longitudinally. A total of 912 amyloid-positive participants were included (198 NC, 504 MCI, and 210 AD).

RESULTS

Individuals with AD reported more sleep disturbances than NC and MCI participants. Those with sleep disturbances had more WMHs than those without sleep disturbances in the AD group. Mediation analysis revealed an effect of regional WMH burden on the relationship between sleep disturbance and future cognition.

DISCUSSION

These results suggest that WMH burden and sleep disturbance increase from aging to AD. Sleep disturbance decreases cognition through increases in WMH burden. Improved sleep could mitigate the impact of WMH accumulation and cognitive decline.

Insomnia and related mental health conditions: Essential neurobiological underpinnings towards reduced polypharmacy utilization rates

Insomnia represents a significant public health burden, with a 10% prevalence in the general population. Reduced sleep affects social and working functioning, productivity, and patient's quality of life, leading to a total of $100 billion per year in direct and indirect healthcare costs. Primary insomnia is unrelated to any other mental or medical illness; secondary insomnia co-occurs with other underlying medical, iatrogenic, or mental conditions. Epidemiological studies found a 40-50% comorbidity prevalence between insomnia and psychiatric disorders, suggesting a high relevance of mental health in insomniacs. Sleep disturbances also worsen the outcomes of several psychiatric disorders, leading to more severe psychopathology and incomplete remission, plausibly contributing to treatment-resistant conditions. Insomnia and psychiatric disorder coexistence can lead to polypharmacy, namely, the concurrent use of two or more medications in the same patient, regardless of their purpose or rationale. Polypharmacy increases the risk of using unnecessary drugs, the likelihood of drug interactions and adverse events, and reduces the patient's compliance due to regimen complexity. The workup of insomnia must consider the patient's sleep habits and inquire about any medical and mental concurrent conditions that must be handled to allow insomnia to be remitted adequately. Monotherapy or limited polypharmacy should be preferred, especially in case of multiple comorbidities, promoting multipurpose molecules with sedative properties and with bedtime administration. Also, non-pharmacological interventions for insomnia, such as sleep hygiene, relaxation training and Cognitive Behavioral Therapy may be useful in secondary insomnia to confront behaviors and thoughts contributing to insomnia and help optimizing the pharmacotherapy. However, insomnia therapy should always be patient-tailored, considering drug indications, contraindications, and pharmacokinetics, besides insomnia phenotype, clinical picture, patient preferences, and side effect profile.

Edible Herbal Medicines as an Alternative to Common Medication for Sleep Disorders: A Review Article

Insomnia is repeated difficulty in falling asleep, maintaining sleep, or experiencing lowquality sleep, resulting in some form of daytime disturbance. Sleeping disorders cause daytime fatigue, mental confusion, and over-sensitivity due to insufficient recovery from a sound sleep. There are some drugs, such as benzodiazepines and anti-histaminic agents, which help to sleep induction and insomnia cure. However, the prolonged administration is unsuitable because of tolerance and dependence. Therefore, the researchers attempt to find new medicines with lesser adverse effects. Natural products have always been good sources for developing new therapeutics for managing diseases such as cancer, cardiovascular disease, diabetes, insomnia, and liver and renal problems. Ample research has justified the acceptable reason and relevance of the use of these herbs in the treatment of insomnia. It is worth noting that in this study, we looked into various Persian herbs in a clinical trial and in vivo to treat insomnia, such as Artemisia annua, Salvia reuterana, Viola tricolor, Passiflora incarnata, lettuce, and Capparis spinose. According to research, herb extracts and fractions, particularly n-butanol fractions with non-polar agents, impact the benzodiazepine receptors and have hypnotic properties. Also, alkaloids, glycosides, flavonoids, saponins, and tannins in practically every plant are mentioned making them the popular natural compounds to help with sleep disorders and promote calmness.

Sleep and Its Disturbance in Parents of Children and Adolescents with Epilepsy: A Systematic Review and Meta-Analysis

Sleep disturbances are commonly reported by parents of children and adolescents with epilepsy. However, evidence synthesis including quality and quantity of sleep in parents of children and adolescents with epilepsy is lacking. This systematic review and meta-analysis was conducted to quantify pooled mean estimates of parental sleep variables and to determine the prevalence of sleep disturbances in parents of children and adolescents with epilepsy. Five electronic databases, PubMed, Medline, Embase, PsychINFO, and CINAHL, were systematically searched from inception to September 2021. Eleven observational studies examining parents of pediatric patients aged <18 years with epilepsy using a quantitative measure of sleep duration, sleep quality, or sleep disturbance were reviewed. Our results showed that the pooled nocturnal sleep duration was 5.93 hours (95% CI: 4.64 to 7.21 hours). Overall sleep quality as estimated by the bias-adjusted pooled Pittsburgh Sleep Quality Index total score was 6.65 (95% CI: 5.98 to 7.33). Parents of children with epilepsy had significantly higher Pittsburgh Sleep Quality Index total scores compared to parents of healthy children (differences in means 1.84, 95% CI: 1.29 to 2.39). The pooled estimated prevalence of parental sleep disturbances was 58.1% (95% CI: 45.7% to 69.6%). Our findings demonstrate a high prevalence of sleep disturbances with poor sleep quality and substantial reductions in sleep time in parents of children and adolescents with epilepsy. Healthcare professionals in pediatric neurology clinics should proactively initiate screening for sleep disturbances in parents of children and adolescents with epilepsy and refer parents to a sleep specialist when necessary.

The Impact of Weighted Blanket Use on Adults with Sensory Sensitivity and Insomnia

Purpose

This study's purpose was to determine the impact of weighted blanket use on moderate to severe insomnia in adults with sensory sensitivity greater than the average population.

Methods

For this study, a four-week, single-case, multiple-participant ABA study design was used. Through convenience sampling, four participants scoring 15 or greater on the Insomnia Severity Index (ISI), which categorizes them as having moderate to severe insomnia, and much more than most people in sensory sensitivity on the Adolescent/Adult Sensory Profile were recruited. First, seven-day baseline sleep data was gathered, followed by two weeks of weighted blanket use, concluding with a seven-day withdrawal phase. Additional outcome measures included: Tuck and Snooze Survey, Consensus Sleep Diary Morning, and Additional Sleep Diary Questions. Data analysis included visual analysis, mean comparisons, Tau-U calculations, and pre- to post-ISI category comparisons.

Results

All participants' ISI scores were categorized as one level less severe postintervention. All participants demonstrated increased sleep quality, and three participants showed an increase in sleep duration based on individual mean comparisons between baseline and intervention phases.

Conclusion

Weighted blankets appear beneficial in reducing insomnia severity in adults with much more than the average population sensory sensitivity. In addition, those with self-reported anxiety may have increased benefit from this intervention.

Validation of the Malay version of Epworth sleepiness scale for children and adolescents (MESS-CHAD)

BACKGROUND

Epworth Sleepiness Scale for Children and Adolescents (ESS-CHAD) is a valid and reliable eight-item self-administered questionnaire for the assessment of excessive daytime sleepiness and is commonly used to screen sleep-disordered breathing for children and adolescents. The cross-sectional study aimed to translate and cross-culturally adapt ESS-CHAD into a Malay version of Epworth Sleepiness Scale for Children and Adolescents (MESS-CHAD) for the Malaysian population, and to assess the validity and reliability of MESS-CHAD.

METHODS

Forward-backward translation method was used to translate and cross-culturally adapt ESS-CHAD. Three linguistic experts and two paediatricians content validated the translated version. Face validity was conducted through audio-recorded semi-structured in-depth interviews with 14 native Malay-speaking children and adolescents followed by thematic analysis. The revised questionnaire was then proofread by a linguistic expert. A total of 40 subjects answered the MESS-CHAD twice, 2 weeks apart, for test-retest reliability and internal consistency. For criterion validity, 148 eligible subjects and their parents answered MESS-CHAD and the Malay version of Sleep-Related Breathing Disorder scale extracted from the Paediatric Sleep Questionnaire (M-PSQ:SRBD) concurrently. Variance Inflation Factor (VIF) and P values of the model's outer weight and outer loading were analysed using SmartPLS software to assess the indicator's multicollinearity and significance for formative construct validity.

RESULTS

Intraclass Correlation Coefficient (ICC) ranging from 0.798 to 0.932 and Cronbach's alpha ranging from 0.813 to 0.932 confirmed good to excellent test-retest reliability and internal consistency, respectively. Spearman Correlation Coefficient value of 0.789 suggested a very strong positive correlation between MESS-CHAD and M-PSQ:SRBD. VIF ranging from 1.109 to 1.455 indicated no collinearity problem. All questionnaire items in MESS-CHAD were retained as the P value of either outer model weight or outer model loading was significant (P < 0.05).

CONCLUSION

ESS-CHAD has been translated and cross-culturally adapted into Malay version for the Malaysian population, and found to be valid and reliable.

Combining participatory action research with intervention mapping to develop and plan the implementation and evaluation of a healthy sleep intervention for adolescents

Background

Adolescents' sleep deteriorated over the last decades, urging the need to develop effective interventions. Using participatory action research (PAR) is a promising and unique approach to target adolescents' sleep. This study aims to describe the process and results of combining PAR and intervention mapping (IM) to guide future researchers on developing and planning of the implementation and evaluation of interventions promoting healthy sleep in adolescents.

Methods

In each of three intervention schools (two with general and technical education and one with technical and vocational education), an action team including adolescents (age 13- 15 years, n=max. 12) and a researcher was composed to develop and plan the intervention. During weekly sessions (n=ranging from 23 to 34 per school), the action team went through the six steps of IM. A short PAR was performed with parents (n=7) to develop parental intervention components.

Results

Combining PAR and IM resulted in interventions focusing on the importance of healthy sleep, regular sleep patterns and associated behaviors: screen behaviors, physical activity, dietary behavior and relaxation. Several differences in the participatory process (i.e. more guidance needed during brainstorms in the vocational/technical school) and developed intervention (i.e. less intrusive intervention components in the vocational/technical school) were observed between schools.

Conclusion

Combining PAR with IM resulted in more extensive interventions than other existing school-based sleep interventions. Future studies should investigate whether a participatory developed sleep intervention could be transferred to another setting using a shorter participatory process.