Effects Of Sleep Disorders Research Articles

The Effect of Sleep Disorders on Anxiety and Depression in Health Workers: A Meta-Analysis

Background: Sleep disorders are a clinical condition when a person frequently experiences problems or decreased sleep quality that can lead to anxiety and depression. The purpose of this meta-analysis is to estimate and analyze the magnitude of the influence of sleep disorders on anxiety and depression in health workers based on the results of previous similar primary studies.Subjects and Method: Meta-analysis was performed on a primary study with a cross-sectional design. The research with the PICO format is as follows. Q: Health workers. I: Sleep disturbances < 8 hours per day; C: No sleep disturbances (Enough sleep > 8 hours per day). O: Anxiety and depression. The meta-analysis study was conducted by searching for articles from databases in electronic form using Google schoolar and Pubmed. This study was conducted by researchers in November 2023 by searching and selecting research data online conducted by previous primary data researchers in Pubmed and google scholar with a research period of 2016-2023. The keywords used in the primary data search were "Mental health" OR "Anxiety" OR "Depression" AND "Sleep disturbance" AND "Health worker" OR "Healthcare". The inclusion criteria for this study are complete articles using Cross-sectional research, published years from 2013-2023. The analysis of the articles in this study uses RevMan 5.3 software.Results: The meta-analysis in this study included 7 cross-sectional studies from Hong Kong, China, Bangladesh, Saudi Arabia, the United States, and Turkey. The total sample size is 5,267 samples. The risk of anxiety caused by sleep disturbances in health workers was 1.6 times compared to health workers who did not experience sleep disturbances (aOR=1.67; CI 95%=1.05 to 2.45; p= 0.030). the risk of depression caused by sleep disturbances in health workers was 1.32 times compared to health workers who did not experience sleep disturbances (aOR=1.32; CI 95%=0.81 to 2.15; p= 0.270).Conclusion: Sleep disorders increase the risk of anxiety and depression in health workers.

Exploring the influence of lifestyle on sleep health based on deep learning

Sleep plays a crucial role in maintaining overall health. However, various lifestyle factors significantly influence sleep quality and duration. Understanding the relationship between lifestyle choices and sleep health is crucial for individuals seeking to improve their sleep patterns. The purpose of this study is to provide valuable insights into the causes and effects of sleep disorders in order to help individuals make informed decisions to optimize their sleep health. This article implements the CatBoost gradient algorithm for predictive modeling. Among various models including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Xtreme Gradient Boosting (XGBoost), Gradient Boosting Decision Tree (GBDT), Random Forest (RF), Decision Tree (DT), Logistic Regression (LR), Deep Neural Network (DNN), CatBoost shows better overall performance with an accuracy of 0.93, an Fl-score of 0.925, and a recall of 0.95. Through data analysis, Blood-pressure-Systolic, Blood-Pressure-Diastolic, and Stress Level are found to have the greatest impact on the model's output.

The effect of sleep disorders, school jet lag, and anxiety in students 8-10 years of age on traumatic dental injuries.

Traumatic dental injuries (TDI) constitute a public health problem. The aim of the present study was to investigate whether sleep disorders, school jet lag, and anxiety are associated with TDI in schoolchildren 8-10 years of age. An analytical, cross-sectional study was conducted with 739 pairs of parents/guardians and children enrolled in public and private schools. The parents/guardians answered a socioeconomic questionnaire, the Sleep Disturbance Scale for Children, Circadian Energy Scale, and Revised Children's Manifest Anxiety Scale. Four examiners underwent calibration exercises for the diagnosis of TDI (K > 0.80) using the criteria proposed by Andreasen (2007). A directed acyclic graph was used for the formulation of the theoretical model and statistical adjustments. Unadjusted and adjusted robust binary logistic regression analyses were performed (α = 5%). The prevalence of TDI was 16.2%. The following variables remained associated with the outcome in the final model: family income less than or equal to the minimum monthly wage (OR = 1.77; 95% CI: 1.09-2.88; p = .02), child's height >137.6 cm (OR = 1.68; 95% CI: 1.06-2.64; p = .02), the occurrence of school jet lag (OR = 2.12; 95% CI: 1.27-3.53; p = .004), anxiety (OR = 1.77; 95% CI: 1.04-3.00; p = .04) and sleep disorders (OR = 1.63; 95% CI: 1.38-1.93; p = .05). Children from families with a lower income, taller children, those with school jet lag, those with anxiety and those with sleep disorders had a greater occurrence of TDI.

The role of TLR4/NF-κB signaling pathway in sleep deprivation induced Meniere's disease

Objective:By detecting the levels of proteins in the Toll-like receptor-4/nuclear factor-κB （TLR4/NF-κB） signaling pathway and downstream proinflammatory cytokines in peripheral blood of patients with Meniere's disease （MD）, Pittsburgh Sleep Quality Index （PSQI） scores were collected to investigate the correlation between sleep disorders and MD and the role of TLR4/NF-κB signaling pathway in mediating sleep disorders inducing MD. Methods:Thirty-two MD patients and 20 family members of patients without middle ear and inner ear related diseases were selected. Basic data, PSQI and fasting peripheral blood of all subjects were collected. Enzyme linked immunosorbent assay.The levels of interleukin-1β（IL-1β）, tumor necrosis factor-α（TNF-α）, monocyte chemokine-1（MCP-1）, Toll-like receptor 4（TLR4） and nuclear factor-κB（NF-κB） in peripheral blood were detected by ELISA, and the data were statistically analyzed. Results:①PSQI score of MD group was higher than that of normal control group, and the difference was statistically significant（P<0.01）; The scores of every factors of PSQI in MD group were higher than those in normal control group, and the scores of factors 2, 4 and 6 were significantly different from those in normal control group. ②In the MD group, there were 18 patients with sleep disorders, with a prevalence rate of 56.25%, including 6 males with a prevalence rate of 50.00% and 12 females with a prevalence rate of 60.00%. ③The levels of five test indexes in MD group, sleep disorder group and non-sleep disorder group were higher than those in control group, and the levels of TLR4 and NF-κB in MD group were significantly different from those in control group（P<0.05）. The levels of IL-1β, TNF-α, TLR4 and NF-κB in sleep disorder group were significantly different from those in control group（P<0.05）. The levels of five test indexes in non-sleep disorder group were not statistically significant compared with those in control group. The levels of five test indexes in the MD sleep disorder group were higher than those in the MD group and the non-sleep disorder group, with no statistical significance. The levels of five test indexes in MD group were higher than those in non-sleep disorder group, with no statistical significance（P>0.05）. Conclusion:①Sleep disorders may be one of the important predisposing factors of some MD, and the effects of sleep disorders on MD are different between the sexes. ②Sleep disorders may activate TLR4/NF-κB signaling pathway to induce MD. The selection of TLR4/NF-κB signaling pathway related proteins and downstream pro-inflammatory factor inhibitors to intervene MD may provide a new idea for protecting the hearing balance function of MD.

Sleep disorders in chronic pain and its neurochemical mechanisms: a narrative review.

Chronic pain (CP) is a prevalent problem, and more than half of patients with CP have sleep disorders. CP comorbidity with sleep disorders imposes immense suffering and seriously affects the patient's quality of life, which is a challenging issue encountered by clinicians. Although the reciprocal interactions between pain and sleep have been studied to some degree, there is still a lack of awareness and comprehensive description of CP comorbidity with sleep disorders. In this narrative review article, we summarize the current knowledge about the present estimates of the prevalence of comorbid sleep disorders in CP patients, sleep detection methods, sleep characterization in CP, and the effect of sleep disorders on CP and current therapies. We also summarize current knowledge of the neurochemical mechanisms of CP comorbidity with sleep disorders. In conclusion, insufficient attention has been paid to the role of sleep disorders in CP patients, and CP patients should be screened for sleep disorders in the clinic. Special attention should be given to a possible risk of drug-drug interaction when using two types of drugs targeting pain and sleep simultaneously. The current insight into the neurobiological mechanisms underlying CP comorbidity with sleep disorders is still rather limited.

The effect of sleep disorders on dementia risk in patients with traumatic brain injury: A large-scale cohort study.

We investigated the association between sleep disorders (SDs) and incident dementia in adults with traumatic brain injury (TBI). Adults with a TBI between 2003 and 2013 were followed until incident dementia. Sleep disorders at TBI were predictors in Cox regression models, controlling for other dementia risks. Over 52 months, 4.6% of the 712,708 adults (59% male, median age 44, <1% with SD) developed dementia. An SD was associated with a 26% and a 23% of increased risk of dementia in male and female participants (hazard ratio [HR] 1.26, 95% confidence interval [CI] 1.11-1.42 and HR 1.23, 95% CI 1.09-1.40, respectively). In male participants, SD was associated with a 93% increased risk of early-onset dementia (HR 1.93, 95% CI 1.29-2.87); this did not hold in female participants (HR 1.38, 95% CI 0.78-2.44). In a province-wide cohort, SDs at TBI were independently associated with incident dementia. Clinical trials testing sex-specific SD care after TBI for dementia prevention are timely. TBI and sleep disorders are linked to each other, and to dementia.It is unclear if sleep disorders pose a sex-specific dementia risk in brain injury.In this study, presence of a sleep disorder increased dementia risk in both sexes.The risk differed by type of sleep disorder, which differed between the sexes.Sleep disorder awareness and care in persons with brain injury is vital for dementia prevention.

The Effect of Sleep Disorders and Fatigue on In-vehicle Traffic Accidents

The Effect of Sleep Disorders and Fatigue on In-vehicle Traffic Accidents

Effects of Sleep Disorders on the Pathogenesis of Alzheimer's Disease

Effects of Sleep Disorders on the Pathogenesis of Alzheimer's Disease

Effect of sleep disorders on the risks of cancers and site-specific cancers

PurposeWhether preexisting sleep disorder is an independent risk factor for cancer remains unclear. Therefore, we performed this propensity score–matched population-based cohort study to compare the incidence rate ratios (IRRs) of specific cancers between patients with and without sleep disorders. Patients and methodsPatients were categorized into two groups on the basis of the presence or absence of sleep disorders and matched at a 1:1 ratio. ResultsPropensity score matching yielded a final cohort of 289,162 patients (i.e., 144,581 and 144,581 in the sleep disorder and nonsleep disorder groups, respectively) who were eligible for further analysis. In multivariate Cox regression analysis, the adjusted hazard ratio (aHR; 95% confidence interval [CI]) of cancer risk in the sleep disorder group compared with the nonsleep disorder group was 1.07 (1.04–1.12; P = 0.0001). Furthermore, the adjusted IRRs (95% CIs) for all cancers, breast cancer, and ovarian cancer in the patients with sleep disorders were 1.08 (1.02–1.18), 1.20 (1.08–1.32), and 1.30 (1.10–1.52), respectively. ConclusionThe results suggested that sleep disorders are a significant risk factor for all cancers, breast cancer, and ovarian cancer.

The Effect of Sleep Disorders on Sexual Function in Bipolar Disorder in the Remission Period

IntroductionBipolar Disorder(BD) is a common,severe and recurrent disease with significant effects on functionality. Residual symptoms such as sleep disturbance and sexual dysfunction are defined as predictors of poor functioning in remission.ObjectivesThe aim of this study was to investigate the correlation between sleep disorder and severity of sexual dysfunction in patients with BD in remission.MethodsThe study was conducted with 100 female and 100 male BD patients in remission. The sociodemographic and clinical characteristics were recorded by interview with the patients and the patients were given the Young Mania Rating Scale(YMRS),Hamilton Depression Rating Scale(HAM-D),Pittsburg Sleep Quality Index(PSQI),Epworth Sleepiness Scale(ESS),Female Sexual Function Scale(FSFI) and International Index of Erectile Function(IIFF-15)for the assesment of symptom severity.ResultsThe frequency of “sleep disorder” was 45.5% and the frequency of ’’daytime sleepiness’’ was 5.5%.In women the mean FSFI score was 26.06±5.14 and sexual dysfunction frequency was 48%.In men,the mean IIEF score was 59.63±8.34 and erectile dysfunction frequency was 56%. There was a statistically significant negative correlation between total FSFI score with HAM-D(r=-0.592, p &lt;0.001),ESS (r=-0.330, p=0.001)and PSQI(r=-0.557, p&lt;0.001)and between total IIEF score with HAM-D(r=-0.509, p&lt;0.001),ESS(r=-0.361, p&lt;0.001)and PSQI(r=-0.511,p&lt;0.001). Sexual function scores in both women and men with sleep problems were significantly lower than those without sleep problems(23.56±4.71vs.28.56±4.31and53.88±7.10vs.63.80±6.56 respectively). Multiple linear regression analysis also showed that total sleep quality scores were an effective factor on sexual function in women(OR:2.74,%95CI[0,799-0,127];p=0,007) and men(OR:2.45, %95CI[1.577-0.164];p=0,016) with BD.ConclusionsThere was an increased incidence of sexual dysfunction in bipolar patients with sleep disorders.Treatment of sleep disorders is important for improving sexual function in bipolar patients for both genders.DisclosureNo significant relationships.

The role of depression and physical activity in the association of between sleep quality, and duration with and health-related quality of life among the elderly: a UK Biobank cross-sectional study

BackgroundAlthough studies have shown that sleep quality (duration) is associated with health-related quality of life (HRQoL), most of these studies have been small-sized and targeted at young and middle-aged adults. In addition, few studies have explored the path mechanism of sleep disorders leading to impaired HRQoL.ObjectivesThis study aimed to determine the association between sleep quality and duration and HRQoL among the elderly in the United Kingdom, assess whether depression mediated the association, and explore the role of physical activity (PA) in the path association.MethodsData were extracted from the baseline survey of the UK Biobank, a large prospective cohort study enrolling more than 500,000 participants, of which 52,551 older adults (aged ≥60 years) were included in the study. HRQoL was assessed using the European Quality of Life-5 Dimensions. Tobit and multivariate logistic regression models were used to determine the association between sleep quality and duration and HRQoL. The mediating and moderated mediation models were estimated using the PROCESS macro and MEDCURVE macro.ResultsThe Tobit model showed that the elderly with short or long sleep duration (β = − 0.062, 95% confidence interval [CI] = − 0.071 to − 0.053; β = − 0.072, 95% CI = − 0.086 to − 0.058) had worse HRQoL after adjusting potential covariates. In the logistic regression models, we found an inverted U-shaped association between sleep duration and HRQoL. Moreover, a significant positive association was observed between sleep quality and HRQoL (all P < 0.05). The results also revealed that depression mediated the association between sleep disorders and HRQoL (sleep quality: β = 0.008, 95% CI = 0.007–0.010; sleep duration: θ = 0.001 [mean], 95% CI = 0.001–0.002). Furthermore, PA moderated all paths among sleep quality and duration, depression, and HRQoL, and greater effects were observed in the elderly with lower PA levels.ConclusionsThe findings show that poor sleep quality and duration were independently associated with worse HRQoL among the elderly in the United Kingdom. Furthermore, PA buffers the mediating effect of depression and adverse effects of sleep disorders on HRQoL. It is essential to properly increase PA and provide early intervention for depression in the elderly with sleep disorders to improve their HRQoL.

Impacts of the psychological stress response on nonsuicidal self-injury behavior in students during the COVID-19 epidemic in China: the mediating role of sleep disorders

BackgroundThe sudden outbreak of COVID-19 had a great impact on the physical and mental health of people all over the world, especially for students whose physical and mental development was not yet mature. In order to understand the physical and mental conditions of students during the epidemic period and provide a theoretical basis for coping with psychological problems in public health emergencies, this study explored the mediating role of sleep disorders in the effect of the psychological stress response (PSR) on non-suicidal self-injury (NSSI), along with the moderating role of emotional management ability (EMA).MethodsThe SRQ-20, Pittsburgh Sleep Quality Index, NSSI Behavior Questionnaire, and Emotional Management Questionnaire were used to investigate the mental health of Chinese students in April 10–20 (Time point 1, T1) and May 20–30 (Time point 2, T2), 2020. A total of 1,955 students (Mage = 19.64 years, 51.4% male) were examined at T1 and 342 students (Mage = 20.06 years, 48.2% male) were reassessed at T2.ResultsOverall, the detection rate of PSR and NSSI were 17.60% (n = 344) and 24.90% (n = 486) respectively in the T1 sample, and were 16.37% (n = 56) and 25.44% (n = 87), in the T2 sample. We also found that sleep disorders played a mediating role in the effect of PSR on NSSI in the T1 and T2 samples. In addition, EMA was shown to regulate the effect of PSR on sleep disorders and the effect of sleep disorders on NSSI in the T1 samples.ConclusionWe found that PSR resulting from public health emergency might lead to NSSI behaviors in individuals. PSR may also cause sleep disorders, which can bring about NSSI. However, these effects were also moderated by the EMA. This research expands our understanding of PSR and NSSI in students during the pandemic.

Sleep and eye disease: A review.

There is a growing body of literature on the effects of sleep disorders, in particular obstructive sleep apnoea (OSA), on ocular health, with consistent evidence of an increased risk of floppy eyelid syndrome, non‐arteritic anterior ischaemic optic neuropathy, diabetic macular oedema, and other retinal vasculature changes in individuals with OSA. However, reports on OSA's associations with glaucoma, papilloedema, diabetic retinopathy, central serous chorioretinopathy, and keratoconus have been conflicting, while links between OSA and age‐related macular degeneration have only been described fairly recently. Despite numerous suggestions that OSA treatment may reduce risk of these eye diseases, well‐designed studies to support these claims are lacking. In particular, the ocular hypertensive effects of continuous positive airway pressure (CPAP) therapy for OSA requires further investigation into its potential impact on glaucoma risk and management. Reports of ocular surface complications secondary to leaking CPAP masks highlights the importance of ensuring good mask fit. Poor sleep habits have also been linked with increased myopia risk; however, the evidence on this association remains weak.

Effect of Sleep Disorders on the Risks of Cancers and Site-Specific Cancers

Effect of Sleep Disorders on the Risks of Cancers and Site-Specific Cancers

Частота и факторы развития послеоперационной инсомнии

Актуальность. Ежегодный рост количества хирургических вмешательств и широта физиологических воздействий нарушения сна в послеоперационном периоде делают проблему инсомнии актуальной для современной анестезиологии. Цель исследования: анализ распространенности послеоперационной инсомнии и факторов риска ее развития, связанных с методом анестезиологического обеспечения. Материалы и методы. Двести пациентов, перенесших ортопедическое или хирургическое вмешательство, были распределены на группы в зависимости от вида анестезии. Проводилась оценка качества сна, уровней боли, тревоги, депрессии, потребности в анальгетиках. Результаты. Общая частота развития послеоперационных нарушений составила 72,08 %, среди которых легкая инсомния достигала 42,64 %, инсомния средней тяжести — 18,78 % и тяжелая инсомния — 10,66 %. Распределение по группам составило: в группе общей анестезии (ОА) легкой инсомнии — 44,44 %, инсомнии средней тяжести — 19,75 % и тяжелой инсомнии — 12,35 %; в группе спинномозговой анестезии (СМА) легкой инсомнии — 40,34 %, инсомнии средней тяжести — 17,65 % и тяжелой инсомнии — 11,76 %. Разница между группами не достигла уровня статистической достоверности. В обеих группах выявлена связь инсомнии с выраженностью послеоперационной боли. В группе ОА — r = 0,437; в группе СМА — r = 0,513. Также в обеих группах наблюдалась положительная корреляция уровня тревожности (rОА = 0,341; rСМА = 0,312) и депрессии (rОА = 0,342; rСМА = 0,301). В группе CМА наблюдалась отрицательная корреляция развития инсомнии с послеоперационным использованием наркотических анальгетиков (r = –0,218), в группе ОА корреляция не достигла статистически значимого уровня (r = –0,165). Выводы. Инсомния является частым послеоперационным осложнением. Основными факторами, провоцирующими ее развитие, являются высокий уровень боли, тревожности и депрессии в послеоперационном периоде, использование опиоидных анальгетиков в схеме послеоперационного обезболивания. Региональные социокультурные особенности не имеют существенного влияния на факторы риска и тождественны для других исследованных популяций.

#3115 Systematic review into the effects of sleep disorders on the development of PTSD

ObjectivesTo examine if sleep problems act as a risk factor for future PTSD development in military, child, and general adult demographics. We will also be examining specific sleep disorders, such as nightmares and insomnia, as well as examining general sleep complaints in a series of sub-sections (REM sleep, Sleep duration, quality, latency, and maintenance) to see if it is possible with the current literature to discover potential hints into the development of PTSD.MethodsSix databases (Medline, Embase, Web of Science, Psych info, AMED, and OpenGray) were searched with a standardised search strategy. The papers were then screened for relevance and quality controlled using the Ottowa-Newcastle Scale and the CASP cohort checklist by two reviewers until only relevant and high quality cohort studies remained. Relevant information and data was extracted from published sources and information on insomnia, nightmares, REM sleep, and 4 specific sleep subcategories (sleep duration, quality, latency, and maintenance) were gathered and examined. Nometa-analysis was planned.ResultsOut of the 1813 documents gathered from the various databases, 25 papers were deemed fit for narrative synthesis. 19 discussed insomnia or general sleep complaints, and found that those tended to correlate with development of future PTSD, with little distinction between if the insomnia appeared pre or post-trauma. 6 discussed nightmares and found that those too were predictive, and 2 discussed REM sleep and found that REM theta waves were potentially predictive.ConclusionIt is almost certain that complaints of poor sleep predict future PTSD development, with insomnia being predictive of many psychiatric conditions not just PTSD, and nightmares being more specific to the development of just PTSD. It has also been suggested that only subjectively (not objectively) poor sleep predicts PTSD. This would explain why specific sleep categories all have mostly mixed results, but the idea is not backed completely in the literature.

PHYSIOLOGICAL MECHANISM OF FATIGUE. Review

Relevance. Fatigue, both intellectual and physical, reduces the efficiency of daily activities and quality of life, in addition, fatigue is one of the factors contributing to the development of various pathological conditions, such as cardiovascular disease and others. Therefore, it is important to understand the mechanisms underlying the development of fatigue, which will improve prevention and development.&#x0D; Objective: to analyze the physiological and biochemical mechanisms underlying the development of fatigue.&#x0D; Methods. Analysis of scientific publications of the international scientific database PubMed by keywords. The following research methods were used in writing the paper: systematization of material, analysis and generalization.&#x0D; Results. In this article we discussed the physiological and biochemical mechanisms of fatigue. The correlation between fatigue and the general mental condition, physiological, biochemical processes, activity of neurotransmitters, intellectual and physical activity, food has been defined. The central and peripheral mechanisms of fatigue were considered. Central fatigue is divided into spinal and supraspinal and involves the neuromuscular junction. Peripheral fatigue occurs at the level of the muscles and mainly involves muscle bioenergetics or an excitation-contraction coupling.&#x0D; Currently fatigue is considered as a general reaction to stress that lasts for a period of time, taken in an account the cumulative effects of days, weeks or months, and the effects of sleep disorders are also very important, because the effects of fatigue are closely linked to sleep deprivation. Therefore, the time required for recovery depends on the severity of fatigue. There are currently many research methods, such as electromyography, transcranial magnetic stimulation, magnetic resonance imaging, and spectroscopy, which are useful in undestending the physiological correlates of fatigue.&#x0D; In turn, psychological, behavioral or physical triggers can have a beneficial effect against the development of acute fatigue and improve performance, as well as provide a better understanding of the function of neurotransmitters, physiological and biochemical processes important in the development of body fatigue in general.

Gender differences in risk of myocardial infarction and stroke in population with sleep disorders in Russia / Siberia: population-based study MONICA-psychosocial

Abstract Funding Acknowledgements Type of funding sources: None. Objectives To determine the gender differences in the effect of sleep disorders on risk of myocardial infarction (MI) and stroke in population 25-64 years over 16 years of follow-up. Methods Under the third screening of WHO program MONICA -Psychosocial a random representative sample of both gender aged 25- 64 years in Novosibirsk was examined in 1994 (n = 1346, male 48.8%, mean age 44,9 ± 0,4 years). The sleep assessment was performed using the Jenkins Sleep Questionnaire. There were 15 cases of new-onset MI in women and 30 in men, new-onset stroke 35 cases in women and 22 in men from 1994 to 2010. Results In an open population aged 25-64 years 48.6% of men and 65.9% of women had sleep disorders (p&amp;lt; 0.001). Univariate analysis showed 2.4-fold risk of MI in those males with SD over 16-year of follow-up (95%CI 1.1-5.3; p&amp;lt; 0.05) but not for women. MI risk was higher in those men who were never married, divorced or widowed (p for all &amp;lt;0.01) compared to married ones. Risk of stroke was higher in men HR = 3 (95%CI 1.2-7.6;p &amp;lt; 0.05) than in women HR = 1.9 (95%CI 1.03-3.7; p &amp;lt; 0.05). Multivariate analysis revealed 2.8-fold risk of stroke (95%CI 1.1-7.1; p &amp;lt; 0.05) in men and HR = 2.7 in women (95%CI 1.4-5.42;p &amp;lt; 0.01) with SD. Stroke risk was higher in men with lower educational level and in women with college degree in those with SD. Conclusions Sleep disorders is a risk factor of MI in men only and stroke for both gender and negative social gradient increases cardiovascular risk.

Gender differences of cardiovascular diseases risk in the population with sleep disorders: WHO's program MONICA-psychosocial

To determine the gender differences in the effect of sleep disorders (SD) on the risk of myocardial infarction (MI) and stroke in an open population, aged 25-64 years, of Russia/Siberia over 16 years of follow-up. Within the framework of the III screening of WHO's MONICA-psychosocial program, a random representative sample of the Novosibirsk population, which comprised both sexes (657 men, 689 women), aged 25-64 years, was examined in 1994. The screening included socio-demographic data, the assessment of SD according to the Jenkins scale. The analysis included people without MI, stroke. In 16 years, new-onset cases of MI and stroke were identified in women (15 and 35 cases, respectively) and in men (30 and 22 cases, respectively). In the open population among the population of 25-64 years, 48.6% of men and 65.9% of women had SD (c2=24.427, df=1, p=0.0001). In people with SD, a single-factor Cox regression analysis revealed that the risk of stroke was higher in men than in women within a 16-year period. Multivariate Cox regression analysis revealed that in people with SD, the risk of stroke in men and women is approximately the same. Widowed men with SD had an increased risk of stroke. The risk of stroke was higher in men with incomplete secondary / primary education than in women. There was an increased risk of stroke in women with secondary education and those having sleep problems. Cox single-factor regression analysis showed an increased risk of MI (by 2.4 times) in men with SD for a 16-year period. SD did not influence the risk of MI in women. The risk of MI was 3 times higher in never-married men, 4.3 times higher in divorced men and 7.5 times higher in widowed men. SD are a risk factor for stroke in men and women, and a risk factor of MI in men. A negative social gradient increases the risk of cardiovascular diseases in people with SD.

ВЛИЯНИЕ НАРУШЕНИЙ СНА НА ЭФФЕКТИВНОСТЬ УМСТВЕННОЙ ДЕЯТЕЛЬНОСТИ И ФУНКЦИОНАЛЬНОЕ СОСТОЯНИЕ ХИРУРГОВ В УСЛОВИЯХ СУТОЧНЫХ ДЕЖУРСТВ

ВЛИЯНИЕ НАРУШЕНИЙ СНА НА ЭФФЕКТИВНОСТЬ УМСТВЕННОЙ ДЕЯТЕЛЬНОСТИ И ФУНКЦИОНАЛЬНОЕ СОСТОЯНИЕ ХИРУРГОВ В УСЛОВИЯХ СУТОЧНЫХ ДЕЖУРСТВ