Prevalence Of Sleep Disorders Research Articles

Mirtazapine in Primary Insomnia: Case report and Literature review

Introduction: Insomnia is a prevalent sleep disorder characterized by difficulty in falling asleep, maintaining sleep, or achieving restorative sleep, despite adequate opportunities. This condition often results in significant daytime impairments, including fatigue, concentration difficulties, and irritability. Insomnia can be primary or comorbid with other disorders such as anxiety or depression. Case Presentation: A 27-year-old woman presented with severe and chronic insomnia, persisting for 14 years with recent exacerbation. Her symptoms included significant difficulty in initiating and maintaining sleep, resulting in an average of only 3-4 hours of sleep per night and complete sleep deprivation for periods exceeding half an hour over the past 5 days. This sleep deficit led to pronounced emotional instability, physical discomfort, and reduced appetite, although suicidal ideation was absent. She had a past history of drug use for different psychiatric illnesses. She was started on mirtazipine 30mg and showed abrupt improvement in her symptoms. She was discharged afterwards. Discussion: The patient's chronic insomnia and its secondary effects necessitate a comprehensive treatment approach. Mirtazapine, an antidepressant with potent histamine receptor antagonism, has shown efficacy in improving sleep quality across diverse patient profiles. However, side effects like weight gain and sedation require careful monitoring. Combining mirtazapine with prolonged-release melatonin has demonstrated enhanced outcomes, particularly in perimenopausal women. Cognitive Behavioral Therapy for Insomnia (CBT-I) remains the first-line treatment due to its efficacy and long-term benefits. Conclusion: Mirtazapine can be a valuable option in the therapeutic arsenal for primary insomnia, but ongoing research is needed to refine treatment strategies. Personalized treatment plans considering patient history and response are crucial for effectively managing primary insomnia and improving patient outcomes.

Quality measure for screening for adult obstructive sleep apnea by primary care providers: 2024 update after measure maintenance.

Obstructive sleep apnea (OSA) is a prevalent respiratory sleep disorder that, when left undiagnosed or untreated, can lead to adverse outcomes. There continue to be gaps and variations in screening adults who are high risk for OSA in the primary care setting, leading to many adults in the United States going undiagnosed. As a part of the ongoing AASM quality measure maintenance initiative, the AASM Quality Measures Task Force reviewed the original screening for adult obstructive sleep apnea by primary care physicians quality measure. The measure was updated to further address the adult populations who are at high risk for OSA to ensure that the measure is consistent with the most current medical literature, increasing the likelihood that patients at high risk for OSA are properly screened for the sleep disorder.

Cognitive-behavioral treatment for insomnia and mindfulness-based stress reduction in nurses with insomnia: a non-inferiority internet delivered randomized controlled trial.

Insomnia is a highly prevalent sleep disorder frequently comorbid with mental health conditions in nurses. Despite the effectiveness of evidence-based cognitive behavioral therapy for insomnia (CBT-I), there is a critical need for alternative approaches. This study investigated whether internet-delivered mindfulness-based stress reduction (IMBSR) for insomnia could be an alternative to internet-delivered CBT-I (ICBT-I). The hypothesis was that the IMBSR would be noninferior to the ICBT-I in reducing the severity of insomnia among nurses with insomnia. Additionally, it was expected that ICBT-I would produce a greater reduction in the severity of insomnia and depression than IMBSR. Among 240 screened nurses, 134 with insomnia were randomly allocated (IMBSR, n =67; ICBT-I, n = 67). The assessment protocol comprised clinical interviews and self-reported outcome measures, including the Insomnia Severity Index (ISI), Patient Health Questionnaire-9 (PHQ-9), the 15-item Five Facet Mindfulness Questionnaire (FFMQ), and the Client Satisfaction Questionnaire (CSQ-I). The retention rate was 55% with 77.6% (n=104) of participants completing the study. At post-intervention, the noninferiority analysis of the ISI score showed that the upper limit of the 95% confidence interval was 4.88 (P=0.46), surpassing the pre-specified noninferiority margin of 4 points. Analysis of covariance revealed that the ICBT-I group had significantly lower ISI (Cohen's d = 1.37) and PHQ-9 (Cohen's d = 0.71) scores than did the IMBSR group. In contrast, the IMBSR group showed a statistically significant increase in the FFMQ-15 score (Cohen's d = 0.67). Within-group differences showed that both the IMBSR and ICBT-I were effective at reducing insomnia severity and depression severity and improving mindfulness. Overall, nurses demonstrated high levels of satisfaction and adherence to both interventions. The IMBSR significantly reduced insomnia severity and depression, but the findings of this study do not provide strong evidence that the IMBSR is at least as effective as the ICBT-I in reducing insomnia symptoms among nurses with insomnia. The ICBT-I was found to be significantly superior to the IMBSR in reducing insomnia severity, making it a recommended treatment option for nurses with insomnia.

Acetylome Analyses Provide New Insights into the Effect of Chronic Intermittent Hypoxia on Hypothalamus-Dependent Endocrine Metabolism Impairment.

Paediatric obstructive sleep apnoea (OSA) is a highly prevalent sleep disorder resulting in chronic intermittent hypoxia (CIH) that has been linked to metabolism and endocrine impairment. Protein acetylation, which is a frequently occurring posttranslational modification, plays pivotal roles in the regulation of hypothalamic processes. However, the effects of CIH-induced global protein acetylation on hypothalamic function and endocrine metabolism remain poorly understood. To bridge this knowledge gap, we conducted a study utilizing liquid chromatography-mass spectrometry to analyse the lysine acetylome and proteome of the hypothalamus in healthy infantile mice exposed to 3 weeks of intermittent hypoxia (as a CIH model) compared to normoxic mice (as controls). Our analysis identified and quantified 2699 Kac sites in 2453 proteins. These acetylated proteins exhibited disruptions primarily in endocrine metabolism, the citrate cycle (TCA cycle), synapse function, and circadian entrainment. Additionally, we observed significant down-regulation of proteins that are known to be involved in endocrine hormone secretion. This study aimed to elucidate the molecular mechanisms underlying CIH-induced alterations in protein acetylation within the hypothalamus. By providing valuable insights into the pathophysiological processes associated with CIH and their impacts on hypothalamic function, our findings contribute to a deeper understanding of the consequences stemming from CIH-induced changes in protein acetylation within the hypothalamus as well as its potential role in endocrine impairment.

Bedtime music therapy for college students with insomnia: A randomized assessor-blinded controlled trial

BackgroundInsomnia, a prevalent sleep disorder in contemporary society, frequently coexists with other mental health conditions such as depression, schizophrenia, and obsessive-compulsive disorder. Sleep disorders can compromise daytime functioning and overall quality of life. While music has been explored as an adjunct therapy for insomnia, its efficacy in improving insomnia among students remains unclear. MethodsSeventy-five students, aged between 18 and 30 years with an average age of 20.97 years (SD: 1.92), presenting sleep issues were randomly allocated to one of three groups: the classical music group, the jazz music group, and the control group, each with 25 participants. Participants in the classical and jazz music group were instructed to listen to classical or jazz music for a minimum of 30 min preceding bedtime. This was paired with deep breathing and relaxation techniques, practiced two consecutive nights per week from 23:00 to 01:00 over a five-week intervention period. Conversely, participants in the control group were only directed to follow the deep breathing and relaxation techniques before sleep on two consecutive nights weekly.Insomnia severity with the Insomnia Severity Index (ISI), sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), depressive symptoms with the Beck Depression Inventory-II (BDI- II), and anxiety symptoms with the Self-rating Anxiety Scale (SAS). Measurements were taken at baseline, after the second week of intervention, at the intervention's conclusion (five weeks), and two months post-intervention (follow-up). Results1. The music groups showed a significant difference in insomnia severity compared with the control group after five weeks of intervention(p < .05). 2. music groups exhibited significant enhancements in sleep quality relative to the control group after a five-week intervention (p < .05). 3. Regarding mood enhancement, music groups showed significant improvements in depression and anxiety symptoms compared to the baseline after the five-week intervention. Notably, the control group also displayed improvements in these symptoms post-intervention. Conclusion1. Integrating music into a consistent bedtime routine ameliorates sleep quality and insomnia severity. However, no specific genre of music emerged as the superior choice for pre-sleep listening. 2. While music can considerably enhance mood indicators like depression and anxiety, techniques such as deep breathing and mindfulness also contribute positively. 3. Incorporating music before sleep tangibly elevates overall quality of life and daytime functioning. Trial registrationChiCTR2300073953.

Prevalence of sleep disorders in patients with advanced cancer: a cross-sectional study.

Patients with advanced cancer are more susceptible to develop sleep disorders like insomnia, restlessness, hypersomnolence, and sleep apnea due to a series of stressful events and side effects of chemotherapeutic agents. Poor sleep quality is associated with bad cancer outcomes and substandard quality of life. The authors assessed the prevalence of sleep disorders among advanced cancer patients in a tertiary center in Nepal. Patients with stage three and four solid malignancies were enrolled from February 2023 to July 2023 to assess their sleep status. The data were collected using the Pittsburgh Sleep Quality Index (PSQI) questionnaire, analyzed using the Statistical Package for the Social Sciences (SPSS) version 27, and subgroup exploration was done to assess the relationship of poor sleep quality with gender, marital status, malignancy type, and treatment received. An ethical clearance was obtained from the Institutional Review Committee (IRC). The authors evaluated data from 357 patients in the study. Of them, 58.3% were female and 41.7% were male. The mean age of the patients was 51.1 years. Among total cancer patients, 56% had significant sleep disorders. A significant association was observed between the quality of sleep and gender, type of malignancy, and treatment methods (p value <0.05). A majority of the patients demonstrated increased sleep latency, struggling to fall asleep swiftly. More than half of the patients had poor sleep, which has an adverse impact on the prognosis of the disease and quality of life of cancer patients. Therefore, this aspect of cancer management requires special consideration for better quality of life and appropriate end-of-life care.

Perceived Stress, but Not Rumination, Mediates the Relationship Between Trait Mindfulness and Sleep Quality in Young Adults.

Poor sleep among young adults is prevalent, yet the mediating variables are largely understudied, and there is limited relevant work utilizing objective sleep measures. The present study investigated the mediating effects of perceived stress and rumination in the relationship between trait mindfulness and subjective and objective sleep quality in young adults. A total of 170 healthy adults (aged 18-37, M = 20.8, SD = 2.9) self-reported on trait mindfulness, perceived stress, and rumination. The primary (N = 140) and secondary (N = 30) samples both completed the Pittsburgh Sleep Quality Index (PSQI) to assess subjective sleep quality. The secondary sample (N = 30) additionally provided sleep diaries, as well as wrist-worn actigraphy data for assessing objective sleep quality. A mediation analysis was conducted to assess the effect of trait mindfulness on sleep quality with perceived stress and rumination as mediators. Trait mindfulness was positively associated with better subjective sleep quality; this was fully mediated by perceived stress, b = -0.08, 95% CI [-.12, -0.06]. Rumination was negatively associated with subjective sleep quality but did not mediate the relationship between trait mindfulness and sleep quality, b = -0.01, 95% CI [-.03, 0.02]. Only trait mindfulness was correlated with diary-based sleep ratings, and none of the measures were associated with actigraphy-based sleep quality. This study indicates that perceived stress is an important mediator in the relationship between trait mindfulness and subjective sleep quality among young adults, rather than rumination. These findings have implications for mindfulness-based therapeutic approaches to address the high prevalence of sleep disorders among young adults, adding mechanistic detail to the literature.

Sleep disorders and diabetes mellitus. Literature review and own data

The article presents analysis of current research on sleep disorders in patients with type 2 diabetes mellitus (T2DM). The mechanisms underlying the relationship between insomnia and glycemic control are complex, as both DM can cause sleep disorders and insomnia can worsen the course of diabetes. It is well known that both short (&lt; 6 hours) and long (&gt; 8 hours) sleep durations are associated with an elevated risk of diabetes development. The reported prevalence of sleep disorders in diabetes patients ranges between 28.0% and 59.1%. Our investigation performed in Lviv with the use of Pittsburgh Sleep Quality Index (PSQI) questionnaire, identified that 46.2% of T2DM patients experienced sleep disorders. A comprehensive literature review also unveils association between DM and diverse sleep disorders such as insomnia, circadian rhythm disturbances, obstructive sleep apnea (OSA), and restless legs syndrome (RLS). The article furnishes insights into the classification, diagnostic principles, and treatment modalities for these disorders. Referral of patients to sleep specialists for the management of sleep disorders and the integration of sleep hygiene into diabetes care can effectively mitigate symptoms, forestall DM complications, and enhance patients’ quality of life. Circadian molecules like nobiletin, REV‑ERB agonists, and CRY stabilizers have demonstrated efficacy in preclinical studies and hold potential for the development of novel treatments for conditions associated with circadian dysregulation. Considering the frequency of detection of sleep disorders in T2DM patients according to the modern literary sources and own research, the study of this problem is important for the development of an algorithm for the examination of such patients, namely the need for endocrinologists to pay attention to the sleep status of patients and, if necessary, to refer them to somnologists. Further investigation into the etiology of sleep disorders in T2DM patients and their correlation with carbohydrate metabolism indicators exhibits promise. It is imperative to explore avenues to address these causes by complementing the primary therapy for T2DM.

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and sleep disorders in US adults: NHANES 2005 to 2016

NHHR (non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio) is a novel lipid parameter. However, the association between NHHR and sleep disorders remains unknown.; A cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) 2005 to 2016. The association between NHHR and sleep disorders was explored using weighted multivariate logistic regression and generalized summation models. Subgroup analyses were employed to verify the robustness of this association. The prevalence of sleep disorders was 25.83% in a total of 22,221 participants. Compared to the lowest quartile of NHHR, participants in the top quartile had a 14% higher odds of sleep disorders prevalence in fully adjusted model (OR: 1.14, 95% CI: 1.06–1.23). After subgroup analyses and interaction tests, sex, race, marital status, education level, body mass index (BMI), person income ratio (PIR), alcohol consumption, smoking status, hypertension, and diabetes mellitus were not significantly associated with this positive association (P for interaction &gt; 0.05). The NHHR is positively associated with sleep disorders in US adults. The management and monitoring of NHHR may have a potential role in improving sleep disorders.

Psychometric and structural properties of the traditional Chinese version of the sleep condition indicator for patients undergoing hemodialysis.

Insomnia is a prevalent sleep disorder among patients undergoing hemodialysis for chronic kidney disease. This study aimed to translate the sleep condition indicator (SCI), an insomnia screening tool based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), into a traditional Chinese version (SCI-TC) and evaluate the reliability and validity of this version for patients undergoing hemodialysis. This cross-sectional study conducted from November 2022 to June 2023 involved 200 patients on hemodialysis (mean age, 65.56years; 61.5% men). Participants completed a series of questionnaires, with insomnia diagnosed according to DSM-5 criteria as the gold standard. A receiver operating characteristic (ROC) curve analysis was conducted to examine the sensitivity and specificity of the SCI-TC. According to the DSM-5 criteria, 38% of the participants had insomnia. Cronbach's alpha for the SCI-TC was 0.92. The SCI-TC exhibited a good fit as a two-factor model, and its scores were significantly associated with those of the traditional Chinese versions of the Insomnia Severity Index, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, EuroQol 5-Dimensions scale, and EuroQol Visual Analogue Scale (r = - 0.94, - 0.53, - 0.38, 0.27, and 0.30, respectively; all p < 0.05). The ROC curve analysis revealed an optimal cutoff of 16 points, with the sensitivity, specificity, and area under curve of 88.2%, 84.7%, and 0.91(95% confidence interval, 0.87-0.95), respectively. The SCI-TC demonstrates robust reliability and validity in detecting insomnia among patients undergoing hemodialysis. These findings suggest that health-care providers should considering using the SCI as an easy-to-use tool for the timely detection of insomnia in this population.

Oral Health Implications of Obstructive Sleep Apnea: A Literature Review.

Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by repeated episodes of partial or complete obstruction of the upper airway during sleep. While the systemic implications of OSA are well documented, the dental consequences are less frequently discussed yet equally significant. This review aims to elucidate the oral health impacts of OSA, emphasizing the importance of interdisciplinary care. A comprehensive literature search was conducted across several databases to identify studies examining the relationship between OSA and various oral health parameters. The review included observational studies, clinical trials, and systematic reviews published in English up to January 2024. OSA was significantly associated with heightened risks of bruxism, dry mouth, periodontal disease, temporomandibular joint disorders, palatal and dental changes, and alterations in taste sensation. Mouth breathing associated with OSA was a critical factor in exacerbating xerostomia and dental caries. Furthermore, the systemic inflammation induced by OSA appeared to correlate with the severity of periodontal disease. Patients using oral appliance therapy for OSA also showed notable changes in dental occlusion and required ongoing dental monitoring. The findings underscore the bidirectional relationship between OSA and oral health, highlighting the need for dental professionals to be integral participants in the management of OSA. Early dental evaluation and intervention can contribute to the overall health and quality of life of individuals with OSA. The review advocates for the development of clinical guidelines to facilitate the early identification and management of OSA-related oral health issues within dental practice and encourages a collaborative approach to patient care.

Association between sarcopenia and sleep disorders: a cross-sectional population based study.

Sleep disorders is a worldwide public health problem. We sought to examine the association between sarcopenia, a decline in skeletal muscle mass and function, and sleep disorders within the adult demographic of the United States during the period spanning 2011 to 2018. Diagnosis of sarcopenia and sleep disorders was ascertained through appropriate calculations and a structured questionnaire. The primary correlation analysis was conducted using a weighted multivariate logistic regression model. Furthermore, to confirm the presence of a potential non-linear association between sarcopenia and sleep disorders, additional analyses were performed using multivariate logistic regression and restricted cubic spline (RCS) regression with dose-response curve analysis. Subgroup analyses were also conducted to explore the influence of relevant socio-demographic factors and other covariates. The final analysis encompassed 5,616 participants. Model 4, inclusive of all pertinent covariates, revealed a positive correlation between sarcopenia and sleep disorders, yielding an odds ratio (OR) of 1.732 (95% CI: 1.182-2.547; P = 0.002). Further analysis, utilizing the restricted cubic spline model, indicated a decreasing trend in sleep disorders as sarcopenia indices rose. Stratified analyses across diverse variables underscored the significant impact of sarcopenia on sleep disorders prevalence in several subgroups. Specifically, males, individuals aged 40 and above, non-Hispanic whites, those with high school education or equivalent, unmarried individuals, obese individuals (BMI ≥ 30), alcohol drinkers, former smokers, diabetics, and those engaging in less rigorous recreational activities exhibited a more pronounced association between sarcopenia and sleep disorders. The incidence of sleep disorders exhibited an upward trend as the incidence of sarcopenia declined among study participants. In summary, our study provides evidence of an association between sarcopenia and the prevalence of sleep disorders, with a negative correlation observed between the sarcopenia index and the odds ratio of sleep disorders. These findings suggest that maintaining optimal muscle mass may have a beneficial impact on sleep-related issues. In terms of exploring the mechanisms underlying the relationship between sarcopenia and sleep disorders, more in-depth research is warranted to ascertain the definitive causal relationship.

112 What’s your emergency? Overview of mental health and sleep disorders among emergency medical dispatchers in a French 112 call center

BackgroundEmergency medical dispatchers (EMD) experience significant occupational stress. Medical dispatching includes call-taking, triage, dispatch, and providing callers gesture guidance to the victims. Every decision has a major impact on the patient’s outcome. Chronic exposure to stress and potentially traumatic situations, combined with night shifts can impact the stress response and physical health of staff.ObjectivesTo evaluate the prevalence of mental health and sleep disorders among EMD personnel working in a 112-call center, prior to an evidence-based prevention intervention (primary outcome); and to assess the relationship between health outcomes and DM (secondary outcome).MethodsWe conducted a descriptive, monocentric study with 109 EMD. HAD Anxiety (HAD-A) and Depression (HAD-D) scores, and the PTSD checklist for DSM-5 (PCL-5) were used to explore mental health disorders. The Epworth Sleepiness Scale, and other analog scales were used to explore sleep disorders. DM resources were assessed using the Freiburg Mindfulness Inventory (FMI), and its Presence and Acceptance subscales.ResultsA total of 72% of the EMD working in the call center were included. Of these, 16.6% had moderate anxiety disorder, and 6.4% had an anxiety disorder (Mean HAD-A: 6.05 ± 2.88). Furthermore, 16.6% had a moderate depression disorder, and 6.4% had a depression disorder (Mean HAD-D: 4.28 ± 3.28), and 16% had symptoms of PTSD (Mean PCL-5: 17.57 ± 13.67). Turning to sleep, 39% may suffer from excessive daytime sleepiness (EDS), and 10% had confirmed EDS (Mean Epworth score 10.47 ± 4.41). Finally, 39% had moderate insomnia, and 59% had severe insomnia (Mean insomnia: 13.84 ± 5.77.). Medium-strength negative correlations were found between mental health and DM (FMI scores and sub-scores: −0.48 < r < − 0.29; 0.001 < p < 0.004); and a positive correlation was found between DM and daytime awareness (0.22 < r < 0.26; 0.01 < p < 0.03).ConclusionThe prevalence of depression, symptoms of PTSD, and sleep disorders in our sample of EMD is significant, and confirms findings reported in the literature. The EMD population may benefit from specific, multi-level interventions that target mindfulness, sleep, and ergonomics to improve their mental and physical health.

Self-reported prevalence of sleep and mental health disorders in current and former athletes: a preliminary cross-sectional investigation of help-seeking behaviours

ABSTRACT Objective Athletes typically report a high prevalence of mental health issues and face significant barriers within the sporting environment that prevent help seeking. However, little is known about how retired or non-elite athletes engage with support; this lack of empirical data is even more pronounced in the case of sleep disorders. Method A cross-sectional online survey was completed by current and former athletes (n = 946; 495 women, 444 men, 7 non-binary) from all sports and competition levels in seven countries. Self-disclosed diagnosis history, help-seeking behaviours, and functional impact of sleep and mental health disorders were assessed. Results Comparable rates of mental health disorders were observed between current athletes (39.3%) and former athletes (42.0%), OR = 1.17, p = .337. Similarly, comparable rates of sleep disorders were observed between current athletes (25.4%) and former athletes (30.9%), OR = 1.20, p = .298. Men reported lower mental health disorder prevalence than women (32.9% vs. 46.3%), OR = 1.82, p < .001. Gender differences were also evident in the types of disorders reported. For sleep disorders, men were less likely to seek assistance from a psychologist than women (8.4% vs. 26.2%), p < .001,φ = 0.23. No differences in help seeking avenues for mental health were observed. Comorbid disorders had more frequent functional impairment than individual sleep or mental health disorders. Conclusions These self-reported prevalence estimates have significance for practitioners and clinicians. Data indicates the most prevalent types of disorders in these populations and where athletes typically engage in support. Evaluating the time course of these disorders can inform health promotion strategies and treatment methods for practitioners and support staff.

Towards a personalized prediction, prevention and therapy of insomnia: gut microbiota profile can discriminate between paradoxical and objective insomnia in post-menopausal women

BackgroundInsomnia persists as a prevalent sleep disorder among middle-aged and older adults, significantly impacting quality of life and increasing susceptibility to age-related diseases. It is classified into objective insomnia (O-IN) and paradoxical insomnia (P-IN), where subjective and objective sleep assessments diverge. Current treatment regimens for both patient groups yield unsatisfactory outcomes. Consequently, investigating the neurophysiological distinctions between P-IN and O-IN is imperative for devising novel precision interventions aligned with primary prediction, targeted prevention, and personalized medicine (PPPM) principles.Working hypothesis and methodology.Given the emerging influence of gut microbiota (GM) on sleep physiology via the gut-brain axis, our study focused on characterizing the GM profiles of a well-characterized cohort of 96 Italian postmenopausal women, comprising 54 insomniac patients (18 O-IN and 36 P-IN) and 42 controls, through 16S rRNA amplicon sequencing. Associations were explored with general and clinical history, sleep patterns, stress, hematobiochemical parameters, and nutritional patterns.ResultsDistinctive GM profiles were unveiled between O-IN and P-IN patients. O-IN patients exhibited prominence in the Coriobacteriaceae family, including Collinsella and Adlercreutzia, along with Erysipelotrichaceae, Clostridium, and Pediococcus. Conversely, P-IN patients were mainly discriminated by Bacteroides, Staphylococcus, Carnobacterium, Pseudomonas, and respective families, along with Odoribacter.ConclusionsThese findings provide valuable insights into the microbiota-mediated mechanism of O-IN versus P-IN onset. GM profiling may thus serve as a tailored stratification criterion, enabling the identification of women at risk for specific insomnia subtypes and facilitating the development of integrated microbiota-based predictive diagnostics, targeted prevention, and personalized therapies, ultimately enhancing clinical effectiveness.

Identification of key genes and immune infiltration modulated in insomnia by integrated bioinformatics analysis and mendelian randomization study

Insomnia is a prevalent sleep disorder in modern times, often linked to various factors. Its occurrence, in turn, can lead to the development of several diseases, such as common cardiovascular conditions like coronary heart disease and hypertension. Moreover, insomnia can significantly impact the strength of the immune system. Traditional Chinese medicine (TCM) classifies sleep deprivation as a form of sleepiness, attributing prolonged sleepiness to Yin-Yang imbalance, resulting in Qi consumption and impairment of the five Zang-organs. Both Qi consumption and damage to the five Zang-organs mentioned in TCM research are correlated with the immune system in medical studies. Consequently, current research indicates that sleep deprivation escalates the risk of immune-related diseases. However, more research and analysis concerning immune infiltration related explicitly to insomnia are needed. Through gene differential analysis of sample files obtained from the Gene Expression Omnibus (GEO) dataset GSE208668 , we identified differentially expressed genes (DEGs) between the Insomnia and control groups. After screening these DEGs, we conducted GO and KEGG pathway analyses to identify insomnia-related gene pathways. Subsequently, I identified ten hub genes (IL2, CALML3, GATA3, EOMES, PTGS2, ESCO2, CXCL2, GPT, CRT, PRF1), and using a logistic regression model, I predicted insomnia based on the expression patterns of these ten genes. The analysis revealed that CALML3 and IL2, which showed the best performance in ROC curve analysis and had the highest degree, respectively, were selected for further investigation. Continuing the research, we further employed CIBERSORT to study immune infiltration in patients with insomnia, discovering an association between mast cells and insomnia partially correlated with the identified hub genes. In conclusion, these essential genes and immune infiltrations are relevant for treating and alleviating insomnia. Understanding these genes and immune cells could offer crucial insights for future therapeutic approaches to insomnia.

Polysomnographically Defined Restless Sleep Disorder and Periodic Limb Movements during Sleep in Children Born Prematurely.

Children born prematurely (<37 weeks' gestation) are at increased risk of perinatal complications, comorbidities, and iron deficiency. Iron deficiency is associated with restless legs syndrome and periodic limb movement disorder. In this study, we assessed the prevalence of restless sleep disorder (RSD) and elevated periodic limb movements during sleep (PLMS) in children born prematurely who underwent polysomnography. A retrospective chart review of sleep studies was conducted in children aged 1-18 years (median age 4 years) with a history of premature birth. Children with genetic syndrome, airway surgery, or tracheostomy were excluded. Three groups were compared: children with PLMS index >5, children with RSD, and children with neither elevated PLMS index nor RSD. During the study, 2577 sleep studies were reviewed. Ninety-two studies fit our criteria and were included in the analysis. The median age at birth was 31 weeks, and the interquartile range (IQR) was 27-34 weeks. A total of 32 (34.8%) children were referred for restless sleep and 55 (59.8%) for snoring. After polysomnography, 18% were found to have a PLMS index >5/h, and 14% fit the criteria for restless sleep disorder (RSD). There were no statistically significant differences in PSG parameters among the children with RSD, PLMS, and the remaining group, except for lower obstructive apnea/hypopnea index (Kruskal-Wallis ANOVA 8.621, p = 0.0135) in the RSD group (median 0.7, IQR 0.3-0.9) than in the PLMS (median 1.7, IQR 0.7-3.5) or the non-RSD/non-PLMS (median 2.0, IQR 0.8-4.5) groups. There was an elevated frequency of RSD and elevated PLMS in our cohort of children born prematurely. Children born prematurely are at higher risk of iron deficiency which can be a contributor factor to sleep -related movement disorders. These results add new knowledge regarding the prevalence of RSD and PLMS in these children.

Predictors associated with night sleep disturbance among breastfeeding women

ObjectiveThe aim of this study was to investigate the incidence of somnological disorders among Kazakhstani women who breastfeed and to assess the association of this phenomenon with some medical and social characteristics. MethodsThe authors used the standardized questionnaire of A.M. Vein and Y.I. Levin to assess nocturnal sleep among 1101 breastfeeding women in the Republic of Kazakhstan, applied Pearson's chi-square test to study the correlation between sleep disturbances and duration of breastfeeding, and multiple logistic regression to assess the influence of various medical and social factors on somnological disorders. Data collection occurred in February 2023. ResultsOn average, 80% of breastfeeding women (ranging from 79% to 85.9%) experienced some form of nocturnal sleep disorders, with no significant association found between these disorders and breastfeeding duration (p = 0.234), while urban residence, history of operative delivery, child's health issues, and low satisfaction levels with various aspects were associated with over twofold increased odds of experiencing sleep disorders (p ≤ 0.05). ConclusionsThe elevated prevalence of nocturnal sleep disorders among breastfeeding Kazakhstani women serves as a risk indicator for adverse health outcomes, with predictors including place of residence, obstetric complications, child health issues, and satisfaction levels with social conditions and personal expression opportunities.

Prevalence and Characteristics of Sleep Disorders in Children Aged 7-17: Insights from Parental Observations at the Dental Office.

Sleep disorders (SD) in children is a topic of great relevance due to their impact on a child's general health. This has led us to study their prevalence and the factors that disturb them in the developing population. Using a validated Likert-type questionnaire, different behaviors observed by the parents during the different phases of their children's sleep were evaluated during the last 6 months. A total of 206 children between the ages of 7 and 17 who attended a dental office participated in the study. The prevalence of SD was 47.6%. There were no significant differences regarding the SD in relation to sex (p = 0.796). The mean total score for children aged 7 to 11 years old was 42.3 (±14.25) compared to 45.44 (±15.51) for the group consisting of children aged 12 to 17 years old, reporting a statistically significant difference among both age groups (p = 0.01). The most frequent disorder was related to initiating and maintaining sleep (64.9%) while the least prevalent were the respiratory sleep disorders (27.2%). Given the high prevalence of these disorders, it is necessary to intercept them during childhood and establish educational guidelines in this regard throughout primary care.

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

Background 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. Methods 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. Results 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%). Conclusions 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.