Prevalence Of Sleep Disorders Research Articles

Clinical and Polysomnographic Profile of Patients with Sleep Disordered Breathing in a Tertiary Care Hospital

Background: Obstructive Sleep Apnea (OSA) is a prevalent sleep disorder associated with various health complications, yet it often remains undiagnosed. Understanding its clinical and polysomnographic profiles is crucial for effective management. Objective: To investigate the clinical characteristics, including demographic factors and comorbidities, of patients diagnosed with Obstructive Sleep Apnea (OSA). To analyze the polysomnographic profiles of individuals with OSA, focusing on respiratory events, sleep architecture alterations, and cardio metabolic parameters, to provide insights into the severity and manifestations of the disorder. Methodology: Data were collected from patients who underwent Level 1 polysomnography at a Sleep Laboratory in Bangalore Medical College And Research Institute from January 2021 to September 2023. Clinical profiles and polysomnographic data were analyzed using IBM SPSS software. Results: The study included 112 patients with a median age of 52 years and a high median BMI of 33.29. Polysomnographic analysis revealed a mean AHI of 36.709, indicating severe OSA. Respiratory events during REM and NREM sleep showed variations in apnea and hypopnea occurrences. Cardio metabolic parameters indicated potential subclinical cardiac dysfunction and dyslipidemia. Conclusion: In conclusion, our study demonstrates a strong correlation between Obstructive Sleep Apnea (OSA) and cardiovascular health, characterized by respiratory disturbances and obesity. Notably, elevated Pulmonary Artery Systolic Pressure (PASP) highlights the potential risk of pulmonary hypertension in this population, warranting close monitoring and targeted therapies. The findings underscore the importance of multidisciplinary management approaches in addressing OSA and its associated health conditions to improve patient outcomes and quality of life.

Prevalence and correlates of sleep disturbance among adolescents in the eastern seaboard of China

BackgroundSleep disturbances are serious public health issues that warrant increased attention, especially in adolescents. The aim of this study was to investigate the prevalence and factors associated with sleep disorders among urban adolescents in China.MethodsThis study utilized an online survey to assess the demographic characteristics and mental health status of secondary school students in Lianyungang City. The Patient Health Questionnaire-9 (PHQ-9) was used to evaluate sleep disturbances in adolescents. The seven-item Generalized Anxiety Disorder (GAD-7) assessed anxiety symptoms, and the Perceived Social Support Scale (PSSS) was used to measure perceived social support.ResultsAmong 3443 adolescents, the prevalence of sleep disorders were 10.8%, with significantly higher proportions of sleep disorders (13.7% VS 8.3%, P < 0.001) among female adolescents when compared to males. Binary regression analysis revealed that anxiety symptoms (OR = 1.305, 95% CI: 1.269–1.342, P < 0.001) was risk factor for sleep disturbances, and significant other support (OR = 0.944, 95% CI: 0.896–0.994, P = 0.028) and good annual household income (OR = 0.616, 95% CI: 0.394–0.963, P = 0.034) were protective factors. Furthermore, multinomial logistic regression analysis showed that age, sex, and anxiety symptoms were associated with an elevated risk of experiencing more frequent sleep disturbances (all P < 0.05).ConclusionsWe have found that 10.8% of adolescents experience sleep disorders, and it is evident that various factors can influence healthy sleeping. These results underscore the significance of addressing these factors to enhance sleep health among this population.

The results of a study of the causes and correlations between stress and sleep disorders by medical professionals

IntroductionProlonged exposure to stress can adversely affect mental health and lead to mental illness, which can adversely affect the provision of medical care. It has been determined that sleep disturbances affect physical and mental health and negatively affect daily activities. Therefore, we conducted this study with the assumption that it is an opportunity to improve health care by examining the prevalence of stress in the medical profession and identifying its causes.ObjectivesTo study the prevalence of stress and sleep disorders among doctors and medical professionals in Selenge Province General Hospital2. Identify some factors affecting stress and sleep disorders and their relationshipMethodsUsing SRQ20, PHQ9, GAD7, and sleep disturbance questionnaires issued by WHO for doctors of primary health care institutions, according to the analytical research model, the ethics committee with the informed consent form, and the research was conducted.ResultsDoctors and medical professionals aged 23-65 participated in the study, the average life expectancy was 37.05 years. 44.44% are stressed. 8% of stressed people had severe stress, 18.89% had no sleep disorder and 81.11% had a sleep disorder. 46.67% of those with sleep disturbances had mild sleep disturbances. But 34.44% had sleep disorders. 30% had a non-organic sleep disorder, 5.56% had lucid dreaming disorder, and 3.33% had non-organic insomnia. According to the correlation analysis, the SRQ20 stress score GAD7 anxiety score is r=0.76, the PHQ9 score is r=0.74, the sleep disturbance score is r=0.68, the satisfaction score is r=-0.44, the sleep disturbance score GAD7 score r=0.75, a moderate positive correlation with the PHQ9 depression score r=0.45, and a weak inverse correlation with the satisfaction score r=-0.24 was related. In the composite linear regression analysis, the stress score increased by 116.2% when the stress problem score increased by one, the anxiety problem score increased by 44.34%, the body shape problem screening questionnaire increased by 82.86%, and the depression problem score increased by one. 73.18% per increase of one, and 7.18% per increase of PHQ9 depression score was statistically significant. On the other hand, the sleep disorder score increases by 127.05% when the stress problem score increases by one, the anxiety problem score increases by 120.79% and the body shape problem detection questionnaire score increases by one.ConclusionsDoctors and medical professionals need to increase their coping skills, psychiatric examination and diagnosis, and psychological counseling. Also, by implementing the right lifestyle habits, most of the sleep disorders of doctors and medical professionals can be normalized by themselves. Stress is associated with depression, anxiety, sleep disturbances, years of work, relationship satisfaction, psychological problems, and depression.Disclosure of InterestNone Declared

Association Between Obstructive Sleep Apnea (OSA) Severity and Optimal Continuous Positive Airway Pressure (CPAP); Do Severe OSA Patients Always Need High CPAP Pressure?

Objective: Obstructive sleep apnea (OSA) is a prevalent sleep disorder associated with an increased risk of cardiovascular disease. Severity of OSA is assessed using the apnea-hypopnea index (AHI), but the optimal continuous positive airway pressure (CPAP) does not always correlate proportionally with AHI. This study aims to identify factors leading to the need for high CPAP pressure despite low AHI or vice versa.Methods: The study includes 91 patients diagnosed with OSA through polysomnography. Participants undergoing CPAP titration were categorized in three groups based on AHI (30/h) and optimal CPAP pressure (10 cm H&lt;sub&gt;2&lt;/sub&gt;O); low AHI and high CPAP pressure group (LH group), high AHI and low CPAP pressure group (HL group), direct proportion group (DP group). The Kruskal–Wallis nonparametric statistical test is used to identify significant differences between the three groups.Results: Among the subjects, 78% were male, with no significant age or BMI differences between groups. There were 36 (39.6%) subjects with mild to moderate OSA and 55 (60.4%) subjects with severe OSA. The study revealed that patients requiring high CPAP pressure despite low AHI (LH group) had lower AHI, oxygen desaturation index, and various other parameters compared to other groups as expected. However, certain factors like the percentage of hypopnea in AHI, limb movement (LM) arousal index, and spontaneous arousal index were higher in the LH group.Conclusion: Patients with mild to moderate OSA requiring high CPAP pressure are more likely associated with specific aspects such as hypopnea in AHI, LM arousal, and spontaneous arousal index, presenting unpredictable outcomes.

Markers of intestinal barrier damage in patients with chronic insomnia disorder.

Insomnia disorder stands out as one of the prevalent clinical sleep and psychiatric disorders. Prior research has unequivocally demonstrated variations in the diversity and abundance of gut microbiota among individuals with insomnia disorder. These alterations may play a direct or indirect role in the onset and progression of insomnia disorder by compromising the integrity of the intestinal barrier. This study aims to evaluate the impairment of the intestinal barrier in individuals with insomnia disorder by scrutinizing the serum functionality of this barrier. 45 patients with chronic insomnia disorder and 30 matched healthy volunteers were meticulously selected based on inclusion criteria. ELISA technology was employed to measure serum levels of diamine oxidase (DAO), D-lactic acid (D-LA), intestinal fatty acid binding protein (I-FABP), and endothelin (ET). Spearman correlation analysis was used to explore the relationship between intestinal mucosal markers and clinical characteristics. Data were analyzed using SPSS 26.0. Compared to the healthy control group, the insomnia disorder group exhibited significantly elevated scores on subjective mood and sleep scales (GAD-7, PHQ-9, HAMA, HAMD, PSQI, and ISI) (P < 0.05). Overnight PSG indicated a notable increase in bed time, total wake time, sleep onset latency, and wake after sleep onset in individuals with insomnia disorder. Additionally, there was a decrease in sleep efficiency and alterations in sleep structure (increased proportion of N1 and N3 stages, prolonged N1 stage) (P < 0.05). The chronic insomnia disorder group displayed significantly reduced concentrations of serum DAO, D-LA, I-FABP, and ET (P < 0.05). Furthermore, significant positive correlations were identified between intestinal epithelial barrier markers and sleep efficiency, while negative correlations were found with wake after sleep onset, total wake time, PSQI, HAMA, and HAMD. Additionally, D-LA levels were significantly positively correlated with ET concentrations. Individuals with chronic insomnia disorder manifest disruptions in sleep structure, heightened susceptibility to anxiety and depressive moods, and impaired intestinal barrier function. These findings suggest that the occurrence and development of insomnia disorder may be linked to the impairment of the intestinal barrier.

Effect of bariatric surgery on obstructive sleep apnea: using the STOP-Bang score as a screening tool

Background Obstructive sleep apnea (OSA), the most prevalent major sleep disorder in the world, has been associated with obesity. Besides reducing weight, bariatric surgery has been reported to improve OSA. Data on the effects of bariatric surgery on OSA are scarce in Egypt. This study aimed to evaluate the short-term effects of bariatric surgery on OSA. Patients and methods This is a prospective study that was conducted on patients who were candidates for bariatric surgery at our institution who completed the STOP-Bang questionnaire before the surgery with a score greater than or equal to 4 and underwent re-evaluation 6 months after surgery. All patients underwent a standardized clinical assessment. The 6-month follow-up data were recorded and analyzed. Results The present study included 30 patients, with a mean baseline BMI of 54.32±9.77 kg/m2. The surgeries performed were Laparoscopic Sleeve Gastrectomy (LSG) (n=21, 70%) and Laparoscopic Roux en Y gastric bypass (LRYGB) (n=9, 30%). The mean baseline STOP-Bang score was 5.3±1.09. At the 6-month follow-up, the mean 6-month postoperative STOP-Bang score was 1.13±1.04 (P&lt;0.001). No statistically significant differences were noted in the BMI or the STOP-Bang score before and after surgery according to the surgery type (P&gt;0.05). There was a statistically significant positive correlation between the 6-month BMI reduction and the Snoring, Tiredness, Observed apnea, Pressure, BMI, Age, Neck, Gender (STOP-Bang) score improvement (r=0.397, P=0.0298). Conclusion This study demonstrated the bariatric surgery-initiated evident improvement and even complete resolution of OSA in patients with obesity, as measured by the STOP-Bang score.

Sleep Disorders and Sleep Disturbances in Persons with Multiple Sclerosis: A Population-Based Matched Case-Control Study in Denmark

Introduction: Adverse sleep is common in multiple sclerosis (MS). Population-based studies including adequate control groups are lacking. We hypothesized that the prevalence of sleep disorders and other sleep disturbances would be higher in persons with MS than in controls. Methods: We conducted a population-based study linking individual-level data from the Danish MS Registry (n = 21,943 persons with MS) and the Danish Population Registry (n = 109,715 matched controls) with information on sleep disorders from the Danish National Patient Registry and other sleep disturbances assessed by dispensed prescription drugs from the Danish National Prescription Registry. Results: Prevalence of diagnosed sleep disorders in terms of central hypersomnia (0.15% vs. 0.06%), sleep disturbances (1.05% vs. 0.70%), and sleep movements (0.22% vs. 0.13%) and other sleep disturbances identified by dispensed central acting (10.73% vs. 1.10%) and hypnotic use (30.65% vs. 20.13%) medication was statistically significantly higher among persons with MS when compared to controls. We found no statistically significant difference in the prevalence of sleep apnea and parasomnia between groups. Stratified by sex and age at MS diagnosis, results for differences between persons with MS and controls were similar. Conclusion: In this registry-based study, we found that the prevalence of several diagnosed sleep disorders was higher in persons with MS than in controls, that is, those reflecting insomnia and daytime symptoms including hypersomnia. Other sleep disturbances identified by dispensed prescription medication were markedly higher in persons with MS than in controls.

The prevalence of depression, anxiety, and sleep disorder among dental students: A systematic review and meta-analysis.

Despite the increasing concern, the literature lacks a comprehensive synthesis of the prevalence of depression, anxiety, and sleep disturbances among dental students. We conducted a systematic review following Cochrane Manual for Systematic Reviews of Interventions and PRISMA guidelines. Our search, spanning databases like Medline, Web of Science, and Scopus, covered data until June 5, 2023. A random effect model was utilized for the meta-analysis. From 508 initially identified articles, 45 studies met eligibility criteria. The pooled prevalence of depression, anxiety, and sleep disorders among dental students was estimated as follows: depression [38%, 95% confidence interval (CI): 32%-44%; I2=98%], anxiety [48%, 95% CI: 41%-55%; I2=97.7%], and sleep disorders [31%, 95% CI: 24%-38%; I2=85.7%]. Subgroup analyses based on geographical regions and assessment scales revealed significant between-subgroup differences. Meta-regression identified associations between the prevalence of depression and the year of publication and between the prevalence of anxiety and total sample size, participant age, and year of publication. Publication bias assessments demonstrated a lack of significant bias, strengthening the validity of the findings. The prevalence of depression, anxiety, and sleep disturbances in dental students is significant. This study highlighted the need for targeted interventions and support systems within dental education to alleviate the mental health challenges students face, ultimately ensuring their well-being and competence as future healthcare providers. Further research should explore the effectiveness of interventions in this population.

Association between the Risk of Obstructive Sleep Apnea and Lung Function: Korea National Health and Nutrition Examination Survey.

Obstructive sleep apnea (OSA) is a prevalent sleep disorder associated with various health issues. Although some studies have suggested an association between reduced lung function and OSA, this association remains unclear. Our study aimed to explore this relationship using data from a nationally representative population- based survey. We performed an analysis of data from the 2019 Korea National Health and Nutrition Examination Survey. Our study encompassed 3,675 participants aged 40 years and older. Risk of OSA was assessed using the STOP-Bang (Snoring, Tiredness during daytime, Observed apnea, and high blood Pressure-Body mass index, Age, Neck circumference, Gender) questionnaire and lung function tests were performed using a portable spirometer. Logistic regression analysis was applied to identify the risk factors associated with a high-risk of OSA, defined as a STOP-Bang score of ≥3. Of 3,675 participants, 600 (16.3%) were classified into high-risk OSA group. Participants in the high-risk OSA group were older, had a higher body mass index, and a higher proportion of males and ever-smokers. They also reported lower lung function and quality of life index in various domains along with increased respiratory symptoms. Univariate logistic regression analysis indicated a significant association between impaired lung function and a high-risk of OSA. However, in the multivariable analysis, only chronic cough (odds ratio [OR], 2.413; 95% confidence interval [CI], 1.383 to 4.213) and sputum production (OR, 1.868; 95% CI, 1.166 to 2.992) remained significantly associated with a high OSA risk. Our study suggested that, rather than baseline lung function, chronic cough, and sputum production are more significantly associated with OSA risk.

Poor quality of sleep and it's associated factors among urban slum-dwellers of Bengaluru- a cross-sectional study.

Sleep can be defined as a state of reduced attention from where the person can be woken up by any kind of stimuli. Sleep difficulties are a major group of disorders affecting one third of the adult population. The present study was taken up to assess the sleep quality and prevalence of sleep disorders among the adult population in the urban slum area of H Siddaiah Road Urban Primary Health Center (UPHC), which is in the Urban Field Practice Area, BMCRI. Stratified random sampling was used to select 821 adults in the population of 18-60 years of age. Ethical clearance was obtained from the Institutional Ethical Committee. A pretested semi-structured questionnaire was used to interview the adults after obtaining their consent. The data was entered in Microsoft Office Excel and analysed using SPSS ver20.0. The study population was 52.81% females and 77.5% in the age group of 18-30 years. Most of the study population were Hindus (78.90%), and only 3.8% of the study population were illiterate. Most of them were employed (86.12%).Substance use was present in 82.9% of the study participants and overcrowding was present in 51.3% of the subjects. Female gender, being unemployed, living with relatives, overcrowding, and substance use such as alcohol and smokeless tobacco were the factors associated with poor sleep quality as measured using the Pittsburgh Sleep Quality Index. Among the study participants having poor sleep quality, most of participants needed further clinical assessment for insomnia (86%) followed by assessment for sleep apnoea (50.5%). 200 (24.36%) study participants were determined to have poor sleep quality. Gender, marital status and overcrowding were the factors associated with poor sleep quality. A significant number of study participants need further assessment on insomnia, sleep apnoea and psychiatric disorders.

Causal role of immune cells in obstructive sleep apnea hypopnea syndrome: Mendelian randomization study

BACKGROUND Despite being one of the most prevalent sleep disorders, obstructive sleep apnea hypoventilation syndrome (OSAHS) has limited information on its immunologic foundation. The immunological underpinnings of certain major psychiatric diseases have been uncovered in recent years thanks to the extensive use of genome-wide association studies (GWAS) and genotyping techniques using high-density genetic markers (e.g. , SNP or CNVs). But this tactic hasn't yet been applied to OSAHS. Using a Mendelian randomization analysis, we analyzed the causal link between immune cells and the illness in order to comprehend the immunological bases of OSAHS. AIM To investigate the immune cells' association with OSAHS via genetic methods, guiding future clinical research. METHODS A comprehensive two-sample mendelian randomization study was conducted to investigate the causal relationship between immune cell characteristics and OSAHS. Summary statistics for each immune cell feature were obtained from the GWAS catalog. Information on 731 immune cell properties, such as morphologic parameters, median fluorescence intensity, absolute cellular, and relative cellular, was compiled using publicly available genetic databases. The results' robustness, heterogeneity, and horizontal pleiotropy were confirmed using extensive sensitivity examination. RESULTS Following false discovery rate (FDR) correction, no statistically significant effect of OSAHS on immunophenotypes was observed. However, two lymphocyte subsets were found to have a significant association with the risk of OSAHS: Basophil %CD33dim HLA DR- CD66b- (OR = 1.03, 95%CI = 1.01-1.03, P &lt; 0.001); CD38 on IgD+ CD24- B cell (OR = 1.04, 95%CI = 1.02-1.04, P = 0.019). CONCLUSION This study shows a strong link between immune cells and OSAHS through a gene approach, thus offering direction for potential future medical research.

Sleep problems and their predictors in community-dwelling older adults with diabetes in India: Evidence from the Longitudinal Ageing Study in India

ObjectivesTo ascertain the prevalence and predictors of sleep disorders and poor sleep quality among older adults with Diabetes (DM) in India, and to assess the relationship between sleep quality and DM. MethodsData was utilized from the nationally representative Longitudinal Ageing Study in India (Wave-1, 2017–18), with a total sample of 66606 older adults (≥45 years) selected for the study. Sleep problems and sleep quality score were assessed using an adaptation based on the Jenkins Sleep Scale. Multivariate linear and logistic regressions were conducted to determine the effect of sociodemographic and clinical factors on sleep quality. Mediation analysis (Karlson-Holm-Breen) was done to assess the direct and indirect effects of independent variables on the sleep quality scores. Further, Propensity score matching (PSM) was done to assess the impact of diabetes on sleep problems. ResultsThe prevalence of DM was 12.34% (n = 8564, 95% CI: 11.54, 13.20) among whom 24.38% (95% CI: 21.38, 27.65) reported sleep problems. On adjusted analysis, sleep problems were significantly associated with increasing education, higher wealth quintile, lack of physical activity, and multimorbidity. Mediation analysis showed adherence to anti-diabetes medication improved sleep quality (aB = −0.28 (95% CI: −0.54, −0.02)), while comorbidities worsened sleep quality (aB = 0.79 (95% CI: 0.67, 0.92)). Analysis from PSM indicated that DM was associated with a 6.2% higher chance of sleep problems. ConclusionsPoor sleep quality is present in nearly one in four individuals diagnosed with DM in India and linked with certain adverse social determinants. Focused interventions to improve assessment and treatment of sleep problems in resource-limited primary care settings require prioritization.

Comorbid Insomnia and Sleep Apnea: Challenges and Treatments

Insomnia and obstructive sleep apnea (OSA) are 2 of the most prevalent sleep disorders and frequently co-occur. Cognitive behavioral therapy for insomnia is the first line treatment for insomnia and has been shown to improve compliance with positive airway pressure therapy. Other alternatives to OSA treatment may have higher acceptance in those with comorbid insomnia and sleep apnea (COMISA). Surgery, particularly hypoglossal nerve stimulation, appears to be well tolerated and may improve insomnia in those with COMISA. Otolaryngologists must be cognizant of the common presentation of COMISA in patients seeking surgical treatment and utilize a multidisciplinary approach.

The Impact of Hypoglossal Nerve Stimulation on Secondary Health Outcomes.

Objectives: Obstructive sleep apnea (OSA) is a prevalent sleep disorder that can increase the risk of hypertension, diabetes, obesity, and cardiovascular diseases. Hypoglossal nerve stimulation (HGNS) is an alternative therapy for OSA in patients who cannot tolerate continuous positive airway pressure. Understanding the impact of HGNS on blood pressure, hemoglobin A1C (A1C), and body mass index (BMI) currently remains limited. Methods: A retrospective review study of HGNS outcomes at a single practice from January 2020 to November 2022 was conducted. Inclusion/exclusion criteria were based on HGNS eligibility and postoperative titration study. Statistical analysis and data management were performed using statistical software, R (v.4.2.1; R Core Team). Paired Student's T test, Fisher's exact test, and McNemar's exact test were utilized for statistical analysis. P values less than .05 were considered statistically significant. Results: Sixty-three patients were included in this study. A significant decrease in mean apnea-hypopnea index was noted following HGNS (mean change -28; P < .0001). Similar significant decreases were also seen in mean arterial pressures (mean change -8.4, P < .0001). There was a significant change in overall antihypertensive medication requirements and in requirements ≥3 medications (P < .0005, P = .03). There was a trend toward reduction in A1C; however, there was no change in BMI or number of diabetes medications taken. Conclusions: Our results reinforce previous findings that HGNS is an effective treatment option for carefully selected patients with OSA. In addition, our findings suggest that HGNS may improve patients' quality of life while minimizing OSA associated morbidity.

Anxiety, depression, sleep disorders and quality of life in parents of children with first unprovoked seizure and epilepsy.

Parents of a child with neurological problems such as seizures and epilepsy experience significant mental distress. Little is known about the mental state of parents in such a stressful situation. This study aims to determine the prevalence of self-reported depression, anxiety, sleep disorders, and quality of life in parents of children with epilepsy and first unprovoked seizure. This cross-sectional study was conducted among the parents of children diagnosed with first unprovoked seizure and epilepsy admitted to the Pediatric Neurology Department, Outpatient Unit of İnönü University Medical Faculty Hospital. Participants filled out a questionnaire investigating demographic variables, Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index (PSQI), and 36- Item Short-Form Health Survey (SF-36). 113 parents participated in the study. Depression was found in 7%, anxiety in 14%, and sleep quality disorder in 33.3% of parents of children diagnosed with epilepsy on the basis of moderate or higher severity, while depression was found in 8.9%, anxiety in 14.3%, and sleep disorder in 21.4% of parents of children diagnosed with first unprovoked seizure. There was no statistically significant difference between the groups. Mothers were at higher risk for loss of physical function and social functionality. There was a positive correlation between BAI, BDI, and PSQI scores. Quality of life sub-dimension measured by SF-36 was associated with different levels of depression, anxiety, and sleep quality. Addressing parental psychiatric problems by professionals involved in the treatment of children with a history of seizures may have the potential to provide further support for the family and the care of patients.

Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study.

This study aims to establish the precise prevalence of sleep disorders among university students in Jiangsu Province. Utilizing a representative sample of students, we measured their sleep quality based on the Pittsburgh Sleep Quality Index (PSQI). Our objective is to quantitatively assess the magnitude of sleep quality and identify key factors. By detailed analysis of these relationships, our study seeks to provide actionable insights for the development of targeted interventions to enhance sleep quality within this population. From October to November 2022, we conducted a cross-sectional web-based survey in Jiangsu Province, China. Using convenient cluster sampling in each college, a total of 8457 participants were selected. The PSQI was applied to assess sleep quality among university students. Data collected included sociodemographic details, scores from the Mobile Phone Dependence Index (MPAI) and psychological resilience measured by the Connor-Davidson Resilience Scale (CD-RISC). The overall prevalence of poor sleep quality among the participants was 39.30%. Binary logistic regression analysis revealed that higher physical activity (OR = 0.921; 95% CI: 0.779-1.090), earlier roommate bedtimes (OR = 0.799; 95% CI: 0.718-0.888), quieter dormitories (OR = 0.732; 95% CI: 0.647-0.828) and higher psychological resilience (OR = 0.982; 95% CI, 0.979-0.984) were protective factors linked to lower risk of poor sleep quality. Conversely, being a female student (OR = 1.238; 95% CI: 1.109-1.382), being a senior (OR = 1.582; 95% CI: 1.344-1.863), single-child status (OR = 1.195; 95% CI: 1.077-1.326), regular smoking (OR = 1.833; 95% CI: 1.181-2.847), regular alcohol consumption (OR = 1.737; 95% CI: 1.065-2.833), high academic stress (OR = 1.326; 95% CI: 1.012-1.736), high employment stress (OR = 1.352; 95% CI: 1.156-1.582), dissatisfaction with dormitory hygiene (OR = 1.140; 95% CI: 1.028-1.265), poor self-rated physical health (OR = 1.969; 95% CI: 1.533-2.529), poor self-rated mental health (OR = 2.924; 95% CI: 2.309-3.702) and higher mobile phone dependency were risk factors associated with an increased likelihood of poor sleep quality. The sleep quality among university students should attract immediate attention. The development of public services and mental health education initiatives is crucial in enhancing the sleep health of this population.

Sleep disorders among healthcare workers during the COVID-19 pandemic: An umbrella review and meta-analysis

Background &amp; Aim: Healthcare workers are at the forefront of the fight against COVID-19 and are exposed to numerous risks and health consequences, including sleep disturbance. The present study aimed to investigate the prevalence of sleep disorders among HCWs during the COVID-19 pandemic using an umbrella review of meta-analyses. Methods &amp; Materials: Based on the guidance of PRISMA, literature was searched on the Web of Science, PubMed, Embase, Science Direct, Scopus, and Google Scholar (from the beginning of January 2020 to the end of March 2022). The random effects model was used for meta-analysis, and the I2 index was employed to ascertain heterogeneity among studies. Publication bias was investigated using the Begg test. Data were analyzed using STATA software version 14. Results: Initially, 561 studies were found after the primary literature search in the data resources, of which 27 eligible studies were selected for quality assessment and data extraction. The results showed that the prevalence of sleep disorders among HCWs during the COVID-19 pandemic was 38.27% (95% CI: 35.20-41.01, I2= 74.2%, P= 0.008). Conclusion: Based on the results of this review, the prevalence of sleep disorders among HCWs during the COVID-19 pandemic was relatively high. Therefore, these individuals should undergo routine screening for sleep quality and other mental health disorders.

The Causal Association Between Blood Lead and Sleep Disorders: Evidence from National Health and Nutrition Examination Survey and Mendelian Randomization Analysis

BackgroundPoor sleep quality is a global public health concern. This study aimed to identify the risk factors for sleep disorders and clarify their causal effects.MethodsData were obtained from the National Health and Nutrition Examination Survey (NHANES) and Mendelian randomization (MR)-Base databases. Baseline characteristics of individuals with and without sleep disorders were compared. A multivariate logistic regression analysis was performed to calculate the effects of each variable on sleep disorders. Causal effects of blood lead levels and hypertension on sleep disorders were assessed using MR analysis.ResultsIn total, 3660 individuals were enrolled in the study. The prevalence of self-reported sleep disorders was 26.21%. Serum lead level, serum mercury level, serum retinol level, prevalence of hypertension, and daily vigorous work duration were significantly higher for those in the sleep disorders group than the control group. After adjusting for various covariates, the effects of serum lead and hypertension on sleep disorders were stable from logistic regression models 1–4. MR analysis showed that blood lead levels were causally related to the risk of sleep disorders (odds ratio (OR) = 1.09, 95% confidence interval (CI) 1.01–1.17, P = 0.030). There was no causal link between elevated blood pressure and sleep disorders (OR = 0.99, 95% CI 0.94–1.04, P = 0.757). Goodness-of-fit tests and sensitivity analyses were used to verify the reliability of the results.ConclusionsBlood lead is positively and causally associated with an increased risk of sleep disorders. These findings provide a novel perspective regarding sleep protection. Taking effective measures to reduce lead exposure may significantly improve sleep health.

Sleep disturbances and behavioral symptoms in pediatric Sotos syndrome.

Sotos syndrome (SoS) is a rare overgrowth genetic disease caused by intragenic mutations or microdeletions of the NSD1 gene located on chromosome 5q35. SoS population might present cognitive impairment and a spectrum of behavioral characteristics, with a worse profile in patients with microdeletion. Although patients with SoS are known to have impaired sleep habits, very little data are available. The present study aimed to assess the prevalence of sleep disorders (SDs) in a pediatric cohort of patients with SoS and their correlation with neuropsychiatric profiles. We included patients with a SoS diagnosis and age < 18 years; all patients underwent a comprehensive neuropsychological assessment, including evaluation of cognition, adaptive functions through the Adaptive Behavior Assessment System-Second Edition (ABAS-II), and behavioral problems using the Achenbach Child Behavior Checklist (CBCL) and Conners' Parent Rating Scale-Revised (CPRS-R:L) questionnaire. To investigate the presence of SD parents, the Sleep Disturbance Scale for Children (SDSC) was completed. Thirty-eight patients (M 61%, F 39%, mean age 11.1 ± 4.65 years) were included in the study. Although only two had a prior SD diagnosis, 71.1% (N = 27) exhibited pathological scores on SDSC. No statistically significant associations were found between positive SDSC results and genetic microdeletion, intellectual disability (ID), or other medical conditions/treatments. However, a positive correlation emerged between SDSC scores and Conners' Global Index (p = 0.048) and Restless/Impulsive (p = 0.01) scores, CBCL externalizing (p = 0.02), internalizing (p = 0.01), and total scores (p = 0.05). Conversely, a negative linear relationship was observed between the SDSC score and the ABAS GAC and ABAS CAD scores (p = 0.025). We detected an SD in 71.1% of our sample, with a positive relation between SD and internalizing and externalizing symptom levels, especially hyperactivity and impulsivity. Our study demonstrated a high prevalence of SD in pediatric patients with SoS, highlighting that all patients should be screened for this problem, which has a great impact on the quality of life of patients and their families.

Insomnia, Fatigue, Bladder Disorders and Mood Disorders among Polish Patients with Multiple Sclerosis: Cross-Sectional Study.

To investigate the prevalence of sleep disorders in patients with multiple sclerosis (PwMS) in comparison to healthy controls (HCs), we aim to explore the correlation between sleep disorders and fatigue, bladder dysfunction, mood disorders in PwMS. This study involved 175 PwMS and 115 HCs. We conducted a self-administered survey using questionnaires (the authors' questionnaire, the Athens Insomnia Scale (AIS), the Epworth Sleepiness Scale (ESS), the Modified Fatigue Impact Scale (MFIS), the Fatigue Severity Scale (FSS), the Hospital Anxiety and Depression Scale (HADS), and the Numerical Rating Scale (NRS). The neurological disability was determined using Expanded Disability Status Scale. Logistic regression was used to estimate odds ratios (ORs) with 95% confidence intervals (CIs). According to AIS, insomnia was found in 20.6% of PwMS compared to 9.6% of HCs (p < 0.001). Comparing female and male PwMS, we observed that insomnia was more prevalent among female PwMS (25.95% vs. 4.55%, respectively, p < 0.05). Excessive daytime sleepiness was more prevalent in female PwMS (p < 0.05). Female PwMS were more fatigue based on the FSS and the MFIS (p < 0.05). Bladder disorders were observed in 39.43% of PwMS and were significantly linked to MS (p < 0.001). Sleep disturbances were associated with anxiety disorders (OR = 0.22, 95% CI 0.12-0.32 p < 0.001), bladder dysfunction (OR = 0.52 95% CI 0.16-0.87 p < 0.05), and female gender (OR = 0.49, 95% CI 0.037-0.94 p < 0.05). Insomnia is prevalent among PwMS. Our study revealed independent predictors of sleep disturbances among PwMS: female gender, bladder disorders, and anxiety.