Impact Of Sleep Disorders Research Articles

Comprehensive Overview of Sleep Disorders in Patients with Chronic Liver Disease.

The impact of sleep disorders (SDs) on patients with chronic liver diseases (CLD) is tremendous. SDs are frequently encountered among these patients and interfere with their quality of life. This review aims to present the data available so far about the prevalence, phenotypes, and proposed pathophysiological mechanisms of SDs in CLD. Moreover, we proposed to search the literature regarding the most reliable methods to assess SDs and the possible therapeutic options in patients with CLD. The main results of this review show that when it comes to prevalence, the percentages reported vary widely between studies performed among populations from the USA or Europe and those coming from Asian countries. Furthermore, it has been proven that SDs may also be present in the absence of neurocognitive disorders attributable to hepatic encephalopathy (HE), which contradicts traditional suppositions where SDs were considered part of the clinical scenario of HE. Currently, there are no specific recommendations or protocols to assess SDs in CLD patients and data about the therapeutic management are limited. Taking into consideration their impact, a protocol for diagnosing and managing SDs should be developed and included in the daily practice of hepatologists.

Chronic sleep impairment enhances the susceptibility of LRRK2G2019S mutation induced behavioral abnormality and neuropathology

Purpose: Sleep disorders are the common non-movement symptoms that often occur in prodromal stages of Parkinson's disease (PD). It is not known the impact of sleep disorders on the clinical and pathological profiles of this disease. Our study aimed to determine if chronic sleep impairment (CSI) can induce or accelerate the onset or progression of PD in a LRRK2G2019S mutation animal model. Our findings may suggest the significance of early sleep disorder treatment and provide new ways to prevent and treat PD.

INFLUENCE OF SLEEP DISTURBANCES ON COGNITIVE DECLINE IN PATIENTS WITH PARKINSON’S DISEASE

The article summarizes the arguments and counter-arguments within the scientific discussion on the impact of sleep disorders on the development of cognitive decline in patients with Parkinson's disease. The main purpose of the study is to study the possibility of predicting the development of cognitive decline by assessing the severity of sleep disorders and their differences in the presence of cognitive impairment. Systematization of literature sources and approaches to solving the problem showed that sleep disorders develop in the early stages of Parkinson's disease and are often accompanied by cognitive impairment. Cognitive decline is manifested throughout Parkinson's disease and ranges from moderate in the early stages to dementia in the late stages. The relevance of the study of the relationship between sleep disorders and cognitive functions lies in the possibility of further improving the prediction of the development of cognitive decline in order to effectively correct it. Treatment of sleep disorders can be accompanied by improved memory and even morphological changes in the brain. Therefore, the question arises about the possibility of correcting cognitive decline by influencing sleep disorders. The methodology of the study included assessment of the overall status of patients on a unified scale of Parkinson's disease, Montreal cognitive rating scale and sleep scale in Parkinson's disease. The duration of the study was 8 months. Patients with Parkinson's disease were selected as the study. The article presents the results of a survey of patients who show that patients with Parkinson's disease and cognitive decline showed a predominance of motor disorders, sleep disorders and the overall score on the sleep scale in Parkinson's disease. In the presence of cognitive decline more pronounced disorders of motor functions in everyday life, which can lead to sleep disorders and its quality. The study empirically confirms and theoretically proves that the assessment of sleep disorders can be used to predict the risk of developing cognitive impairment in patients with Parkinson's disease. The results of this study may be useful for improving the early diagnosis and prevention of cognitive impairment in patients with Parkinson's disease, which, in turn, leads to improved quality of treatment of these patients. Such changes can directly affect the choice of therapeutic tactics and improve the quality of life of patients with Parkinson's disease. The question of the features of various sleep disorders and their prognostic value in relation to cognitive decline in patients with various forms of Parkinson's disease remains open.

0860 Sleep Disorders In Female Military Personnel

Abstract Introduction Sleep is an essential biological function and the disruption of sleep has deleterious consequences. Military personnel experience unique stressors related to their service, elevating the risk of developing sleep disorders. The etiologies and impact of sleep disorders on military women’s health is poorly understood. This study is the first to prospectively assess whether military women with insomnia, obstructive sleep apnea (OSA), or comorbid insomnia and OSA (COMISA) have different gender roles, military service-associated factors, and biological characteristics than military men with the same disorders. Methods This is a prospective observational study of military personnel with sleep disturbances. The study will evaluate women and men matched for sleep disorder. Participants will complete an evaluation to include polysomnography (PSG), sleep questionnaires and validated clinical assessments of associated disorders of interest. The baseline demographics, questionnaire, and PSG results will be analyzed to assess for commonalities or differences between genders. Results We have enrolled 45 patients (24% female). Males had a higher BMI (29.1) than females (26). Males were also older (38) than females (35). The leading diagnosis in males was OSA (44%) and insomnia in females (64%). In males, the apnea-hypopnea index (AHI) was 11.3/hr, arousal index (ARI) was 20/hr, and sleep efficiency (SE) was 86.5%. Total sleep time (TST), wake after sleep onset (WASO), and sleep onset latency (SOL) were 364.6, 40.9, and 12.6 minutes, respectively. In females, the average AHI was 6.6/hr, ARI was 15/hr, and SE was 87.2%. Their TST, WASO, and SOL were 359, 44, and 12.6 minutes, respectively. Conclusion Military personnel are at increased risk of sleep disorders. Literature comparing male and female characteristics and sleep disorders is scarce. In this study, baseline demographics were similar in both groups but insomnia was the leading diagnosis for women. This emphasizes the importance of adequate recognition and treatment of insomnia in this group. Support This study is supported by the Defense Health Agency, Defense Medical Research and Development Program, Clinical Research Intramural Initiative for Military Women’s Health.

0385 Risk Assessment of Sleep Disorder Comorbidity Across Active Duty Army Installations from Military Medical Databases

Abstract Introduction The impact of sleep disorders on active duty Soldiers’ medical readiness is clinically significant. Sleep disorders present high comorbidity with disease states directly impacting medical readiness, ranging from musculoskeletal injury (MSK-I), obesity, and drug dependence. The current study performed a risk assessment of sleep disorder comorbidity with MSK-I, obesity, and drug dependence across active duty United States Army installations. Methods Health incidences (percent active duty per installation) were queried from the Office of the Surgeon General Health of the Force (HoF) report, specifically for Fiscal Year (FY) 2017 (n = 471,000; 85.5% male, > 70% between 18 -34). Nonparametric ranked tests identified active duty Army installations at low risk (green; < 25% percentile relative to mean rank), moderate risk (amber; 25% - 50%), and high risk (red; > 75% percentile). Linear regressions determined extent of comorbidity of sleep disorders with MSK-I, obesity, and drug dependence (tobacco use and substance abuse). Results Mean rank comparisons for sleep disorders vs. injury index (p=0.499), obesity (p=0.306), tobacco use (p=0.378), and substance abuse (p=0.591) did not differ for each installation. Further, there was a high degree of co-morbidity for mean percentage of diagnosed sleep disorder with injury index (p<0.001; r2 = 0.517), obesity (p<0.001; r2 = 0.963), tobacco use (p<0.001; r2 = 0.928), and substance abuse (p<0.001; r2 = 0.968). Conclusion In general, large infantry and artillery training units located in the Southeastern United States were “in the red” for not meeting medical readiness standards. A few exceptions include Virginia-Maryland triangle, a heavily populated area. These data demonstrate strong geographical influences on health risk comorbidity in active duty Soldiers comparable to civilian sectors. Support Military Operational Medicine Research Program

EAN/ERS/ESO/ESRS statement on the impact of sleep disorders on risk and outcome of stroke.

Sleep disorders are highly prevalent in the general population and may be linked in a bidirectional fashion to stroke, which is one of the leading causes of morbidity and mortality. Four major scientific societies established a task force of experts in neurology, stroke, respiratory medicine, sleep medicine and methodology to critically evaluate the evidence regarding potential links and the impact of therapy. Thirteen research questions were evaluated in a systematic literature search using a stepwise hierarchical approach: first, systematic reviews and meta-analyses; second, primary studies post-dating the systematic reviews/meta-analyses. A total of 445 studies were evaluated and 88 were included. Statements were generated regarding current evidence and clinical practice. Severe obstructive sleep apnoea (OSA) doubles the risk for incident stroke, especially in young to middle-aged patients. Continuous positive airway pressure (CPAP) may reduce stroke risk, especially in treatment-compliant patients. The prevalence of OSA is high in stroke patients and can be assessed by polygraphy. Severe OSA is a risk factor for recurrence of stroke and may be associated with stroke mortality, whilst CPAP may improve stroke outcome. It is not clear if insomnia increases stroke risk, whilst the pharmacotherapy of insomnia may increase it. Periodic limb movements in sleep (PLMS), but not restless limb syndrome (RLS), may be associated with an increased risk of stroke. Preliminary data suggest a high frequency of post-stroke insomnia and RLS and their association with a less favourable stroke outcome, whilst treatment data are scarce. Overall, the evidence base is best for OSA relationship with stroke and supports active diagnosis and therapy. Research gaps remain especially regarding insomnia and RLS/PLMS relationships with stroke.

Depression and sleep disorders related to hypertension: A cross-sectional study in Medellín, Colombia

IntroductionPsychosocial factors have been shown to be potentiators and triggers of cardiovascular diseases such as hypertension. The purpose of the study is to explore the relationship between psychosocial factors and the presence of hypertension in a random population sample in the city of Medellin. MethodsObservational cross-sectional study with an analytical approach. The endpoint (hypertension) was contrasted with the psychosocial and sociodemographic endpoints by means of a bivariate analysis, and later a multivariate logistic regression analysis was carried out. ResultsAfter adjusting for age, gender and stressful life events, depression (OR=1.65; 95% CI: 1.13–2.41) and sleep disorders (OR=1.41; 95% CI: 1.00–1.98) were found to be psychosocial factors associated with hypertension. ConclusionsDepression and sleep disorders are related to hypertension. In Colombia there are studies that correlate psychosocial factors such as depression with hypertension; however, the impact of sleep disorders on the population is unknown.

EAN/ERS/ESO/ESRS statement on the impact of sleep disorders on risk and outcome of stroke.

Sleep disorders are highly prevalent in the general population and may be linked in a bidirectional fashion to stroke, which is one of the leading causes of morbidity and mortality.Four major scientific societies established a task force of experts in neurology, stroke, respiratory medicine, sleep medicine and methodology, to critically evaluate the evidence regarding potential links and the impact of therapy. 13 research questions were evaluated in a systematic literature search using a stepwise hierarchical approach: first, systematic reviews and meta-analyses; second, primary studies post-dating the systematic reviews/meta-analyses. A total of 445 studies were evaluated and 88 included. Statements were generated regarding current evidence and clinical practice.Severe obstructive sleep apnoea (OSA) doubles the risk for incident stroke, especially in young to middle-aged patients. Continuous positive airway pressure (CPAP) may reduce stroke risk, especially in treatment-compliant patients. The prevalence of OSA is high in stroke patients and can be assessed by polygraphy. Severe OSA is a risk factor for recurrence of stroke and may be associated with stroke mortality, while CPAP may improve stroke outcome. It is not clear if insomnia increases stroke risk, while pharmacotherapy of insomnia may increase it. Periodic limb movements in sleep (PLMS), but not restless limb syndrome (RLS), may be associated with an increased risk of stroke. Preliminary data suggest a high frequency of post-stroke insomnia and RLS and their association with a less favourable stroke outcome, while treatment data are scarce.Overall, the evidence base is best for OSA relationship with stroke and supports active diagnosis and therapy. Research gaps remain especially regarding insomnia and RLS/PLMS relationships with stroke.

Sleep disturbances and predictors of nondeployability among active-duty Army soldiers: an odds ratio analysis of medical healthcare data from fiscal year 2018

BackgroundThe impact of sleep disorders on active-duty soldiers’ medical readiness is not currently quantified. Patient data generated at military treatment facilities can be accessed to create research reports and thus can be used to estimate the prevalence of sleep disturbances and the role of sleep on overall health in service members. The current study aimed to quantify sleep-related health issues and their impact on health and nondeployability through the analysis of U.S. military healthcare records from fiscal year 2018 (FY2018).MethodsMedical diagnosis information and deployability profiles (e-Profiles) were queried for all active-duty U.S. Army patients with a concurrent sleep disorder diagnosis receiving medical care within FY2018. Nondeployability was predicted from medical reasons for having an e-Profile (categorized as sleep, behavioral health, musculoskeletal, cardiometabolic, injury, or accident) using binomial logistic regression. Sleep e-Profiles were investigated as a moderator between other e-Profile categories and nondeployability.ResultsOut of 582,031 soldiers, 48.4% (n = 281,738) had a sleep-related diagnosis in their healthcare records, 9.7% (n = 56,247) of soldiers had e-Profiles, and 1.9% (n = 10,885) had a sleep e-Profile. Soldiers with sleep e-Profiles were more likely to have had a motor vehicle accident (pOR (prevalence odds ratio) =4.7, 95% CI 2.63–8.39, P ≤ 0.001) or work/duty-related injury (pOR = 1.6, 95% CI 1.32–1.94, P ≤ 0.001). The likelihood of nondeployability was greater in soldiers with a sleep e-Profile and a musculoskeletal e-Profile (pOR = 4.25, 95% CI 3.75–4.81, P ≤ 0.001) or work/duty-related injury (pOR = 2.62, 95% CI 1.63–4.21, P ≤ 0.001).ConclusionNearly half of soldiers had a sleep disorder or sleep-related medical diagnosis in 2018, but their sleep problems are largely not profiled as limitations to medical readiness. Musculoskeletal issues and physical injury predict nondeployability, and nondeployability is more likely to occur in soldiers who have sleep e-Profiles in addition to these issues. Addressing sleep problems may prevent accidents and injuries that could render a soldier nondeployable.

Impact of sleep disorders on quality of life in epilepsy

To study the relationship between sleep disorder symptoms and health-related quality of life (HRQOL) in patients with epilepsy. Three groups of participants were included: patients with epilepsy (EG, n=151), healthy controls (CG, n=130), patients with a confirmed diagnosis of sleep disorder (SDG, n=69). HRQOL was assessed with SF-36 containing 8-domains (D1-D8). EG, CG, SDG groups as well as subgroups with- or without sleep disturbance (SD) and partial (PE) or generalized (GE) epilepsy were compared. When comparing quantitative HRQOL data between EG and CG groups, SF-36 scores were significantly lower in EG. In the EG group, the scores on each domain were lower compared to the group with SD (p<0,001). While in CG the impact of SD decreased, with the difference being significant (p<0,05) in only half of SF-36 domains, there was no difference in HRQOL levels between EG with SD and SDG. Also, the lowest HRQOL was seen in patients with PE compared to GE with SD. Patients with epilepsy with SD report lower HRQOL, also disordered sleep impacts HRQOL more in patients with PE than with GE. The results indicate that sleep disorders should be addressed during management of patients with epilepsy.

Impact of Sleep Disorder as a Risk Factor for Dementia in Men and Women.

Sleep is an essential physiological process, especially for proper brain function through the formation of new pathways and processing information and cognition. Therefore, when sleep is insufficient, this can result in pathophysiologic conditions. Sleep deficiency is a risk factor for various conditions, including dementia, diabetes, and obesity. Recent studies have shown that there are differences in the prevalence of sleep disorders between genders. Insomnia, the most common type of sleep disorder, has been reported to have a higher incidence in females than in males. However, sex/gender differences in other sleep disorder subtypes are not thoroughly understood. Currently, increasing evidence suggests that gender issues should be considered important when prescribing medicine. Therefore, an investigation of the gender-dependent differences in sleep disorders is required. In this review, we first describe sex/gender differences not only in the prevalence of sleep disorders by category but in the efficacy of sleep medications. In addition, we summarize sex/gender differences in the impact of sleep disorders on incident dementia. This may help understand gender-dependent pathogenesis of sleep disorders and develop therapeutic strategies in men and women.

Impact of Sleep and Dialysis Mode on Quality of Life in a Mexican Population.

Health-related quality of life (HR-QOL) is reduced with end-stage renal disease (ESRD) but little is known about the impact of sleep disorders, dialysis modality and demographic factors on HR-QOL of Mexican patients with ESRD. 121 adults with ESRD were enrolled from 4 dialysis units in the state of Guanajuato, Mexico, stratified by unit and dialysis modality (hemodialysis [HD], continuous ambulatory peritoneal dialysis [CAPD] and automated peritoneal dialysis [APD]). Analysis included clinical information and data from the Sleep Heart Health Study Sleep Habits Questionnaire, the Medical Outcomes Study (MOS) short form (SF-36) HR-QOL measure and Epworth Sleepiness Scale. Overall, sleep symptoms and disorders were common (e.g., 37.2% insomnia). SF-36 scores were worse versus US and Mexican norms. HD patients reported better, while CAPD patients poorer HR-QOL for Vitality. With multivariate modelling dialysis modality, sleep disorders as a group and lower income were significantly associated with poorer overall SF-36 and mental health HR-QOL. Overall and Mental Composite Summary models showed HR-QOL was significantly better for both APD and HD with small to moderate effect sizes. Cost-effectiveness analysis demonstrated an advantage for APD. Mexican ESRD patients have reduced HR-QOL, and sleep disorders may be an important driver of this finding. APD should be the preferred mode of dialysis in Mexico.

Impact of Sleep Disorders and Other Factors on the Quality of Life in General Population: A Cross-Sectional Study.

The study objective was to assess if insomnia, along with other factors, can impact the physical and mental quality of life (QOL) of the Lebanese general population. This cross-sectional study, conducted between November 2017 and March 2018, enrolled 756 community-dwelling participants. A first linear regression, using the SF-12 PCS score as the dependent variable, showed that having a family history of insomnia problems (β = 1.107, p = 0.026) was significantly associated with higher physical QOL (higher SF-12 PCS score), whereas increased stress (β = 0.048, p = 0.015) was significantly associated with lower physical QOL. A second linear regression, using the SF-12 MCS score as dependent variable, showed that having increased age (β = -0.079, p < 0.001) was significantly associated with lower mental QOL. Despite its cross-sectional design and the modest sample size, this study adds to the evidence that insomnia, along with other factors (including sociodemographic and psychological factors), can have a detrimental impact on both physical and mental QOL of participants.

The Parkinson's Disease Sleep Scale-2 (PDSS-2): Validation of the Spanish Version and Its Relationship With a Roommate-Based Version.

Because of the prevalence and impact of sleep disorders in Parkinson's disease (PD), valid instruments for their evaluation and monitoring are necessary. However, some nocturnal sleep disorders may go unnoticed by patients themselves. To validate a pan-Spanish version of the Parkinson's Disease Sleep Scale Version 2 (PDSS-2) and to test the relationships between the PDSS-2 and a PDSS-2 roommate version. PD patients (n = 399) from seven Spanish-speaking countries were included. In addition to the tested PDSS-2 scales, valid measures for sleep disorders and both motor and nonmotor manifestations were applied. Acceptability, dimensionality, reliability, precision, and construct validity were explored, as well as discrepancies and agreement between the PDSS-2 and the roommate version. PDSS-2 showed negligible floor and ceiling effects. Four factors (57% of the variance) were identified. Reliability parameters were satisfactory: alpha = 0.84; item homogeneity coefficient = 0.27; corrected item total correlation = 0.28 to 0.61; and test-retest reliability (average kappa = 0.70; intraclass correlation coefficient [ICC] = 0.83). The standard error of measurement was 5.84, and correlations with other scales assessing nocturnal sleep were high (rS = 0.62-0.56). In comparison to the patient-based total score, the by proxy total score showed no significant difference, high correlation (rS = 0.70), and acceptable agreement (ICC = 0.69), but there were discrepancies in two or more points in 18% of item scores. The Spanish version of the PDSS-2 has shown satisfactory clinimetric attributes. Acceptability and precision data are presented for the first time. The PDSS-2 roommate version could be useful to complement the patient-based evaluation, but additional studies are needed.

Short Report: Impact of Sleep Disorders on Depression and Patient-Perceived Health-Related Quality of Life in Multiple Sclerosis.

Sleep disorders in multiple sclerosis (MS) are associated with reduced health-related quality of life (HRQOL) and depression. However, research investigating and comparing how the two most common sleep disorders-insomnia and obstructive sleep apnea (OSA)-affect depression and HRQOL in MS is limited. The goal of this study is to examine the impact of diagnosed sleep disorders on patient-reported 1) HRQOL and 2) depressive symptoms in patients with MS. We performed a retrospective medical record review of 531 adult patients with MS: 287 (54%) with a comorbid sleep disorder (insomnia or OSA) and 244 (46%) without a diagnosed sleep disorder. Neither 1) average ratings of depression or HRQOL nor 2) the proportion of moderate depression or moderately impaired HRQOL differed between individuals with MS and insomnia and those with MS and OSA. Neither sleep disorder predicted increased depression or poorer HRQOL. However, individuals with MS and a comorbid sleep disorder (insomnia or OSA) had poorer HRQOL compared with those without a diagnosed sleep disorder (MS only). Presence of a diagnosed sleep disorder may negatively affect HRQOL in MS. Providers should continue to screen for sleep disorders given their negative impact on patients with MS and the availability of effective treatments for insomnia and OSA.

Depresión y trastornos del sueño relacionados con hipertensión arterial: un estudio transversal en Medellín, Colombia

IntroductionPsychosocial factors have been shown to be potentiators and triggers of cardiovascular diseases such as hypertension. The purpose of the study is to explore the relationship between psychosocial factors and the presence of hypertension in a random population sample in the city of Medellin. MethodsObservational cross-sectional study with an analytical approach. The endpoint (hypertension) was contrasted with the psychosocial and sociodemographic endpoints by means of a bivariate analysis, and later a multivariate logistic regression analysis was carried out. ResultsAfter adjusting for age, gender and stressful life events, depression (OR=1.65; 95% CI: 1.13–2.41) and sleep disorders (OR=1.41; 95% CI: 1.00–1.98) were found to be psychosocial factors associated with hypertension. ConclusionsDepression and sleep disorders are related to hypertension. In Colombia there are studies that correlate psychosocial factors such as depression with hypertension; however, the impact of sleep disorders on the population is unknown.

The National Sleep Research Resource: towards a sleep data commons.

ObjectiveThe gold standard for diagnosing sleep disorders is polysomnography, which generates extensive data about biophysical changes occurring during sleep. We developed the National Sleep Research Resource (NSRR), a comprehensive system for sharing sleep data. The NSRR embodies elements of a data commons aimed at accelerating research to address critical questions about the impact of sleep disorders on important health outcomes.ApproachWe used a metadata-guided approach, with a set of common sleep-specific terms enforcing uniform semantic interpretation of data elements across three main components: (1) annotated datasets; (2) user interfaces for accessing data; and (3) computational tools for the analysis of polysomnography recordings. We incorporated the process for managing dataset-specific data use agreements, evidence of Institutional Review Board review, and the corresponding access control in the NSRR web portal. The metadata-guided approach facilitates structural and semantic interoperability, ultimately leading to enhanced data reusability and scientific rigor.ResultsThe authors curated and deposited retrospective data from 10 large, NIH-funded sleep cohort studies, including several from the Trans-Omics for Precision Medicine (TOPMed) program, into the NSRR. The NSRR currently contains data on 26 808 subjects and 31 166 signal files in European Data Format. Launched in April 2014, over 3000 registered users have downloaded over 130 terabytes of data.ConclusionsThe NSRR offers a use case and an example for creating a full-fledged data commons. It provides a single point of access to analysis-ready physiological signals from polysomnography obtained from multiple sources, and a wide variety of clinical data to facilitate sleep research.

The impact of sleep disorders on driving safety-findings from the Second Strategic Highway Research Program naturalistic driving study.

This study investigated the association between driving safety and seven sleep disorders amongst 3541 participants of the Second Strategic Highway Research Program (SHRP 2) naturalistic driving study. SHRP 2 collected naturalistic driving data from participants between 16 and 98 years old by instrumenting participants' vehicles. The analyses used logistic regression to determine the likelihood of crash or near-crash involvement, Poisson log-linear regression to assess crash or near-crash rate, and ordinal logistic regression to assess driver maneuver appropriateness and crash or near-crash severity. These analyses did not account for any medical treatments for the sleep disorders. Females with restless legs syndrome/Willis-Ekbom disease (RLS/WED), drivers with insomnia or narcolepsy, are associated with significantly higher risk of crash or near-crash. Drivers with shift work sleep disorder (SWSD) are associated with significantly increased crash or near-crash rate. Females with RLS/WED or sleep apnea and drivers with SWSD are associated with less safe driver maneuver and drivers with periodic limb movement disorder are associated with more severe events. The four analyses provide no evidence of safety decrements associated with migraine. This study is the first examination on the association between seven sleep disorders and different measures of driving risk using large-scale naturalistic driving study data. The results corroborate much of the existing simulator and epidemiological research related to sleep-disorder patients and their driving safety, but add ecological validity to those findings. These results contribute to the empirical basis for medical professionals, policy makers, and employers in making decisions to aid individuals with sleep disorders in balancing safety and personal mobility.

Impact of sleep disorders on the risk of seizure recurrence in juvenile myoclonic epilepsy

ObjectiveThe aim of this study was to investigate the presence of sleep disturbances in patients with juvenile myoclonic epilepsy (JME) using sleep questionnaires. Further, we tried to evaluate whether alterations in sleep quality may influence the clinical expression of JME. MethodsSixty-two patients with JME treated with levetiracetam were included. Demographic and clinical variables were collected. Moreover, all patients submitted the Pittsburgh Sleep Quality index (PSQI) and the Epworth Sleepiness Scale (ESS) in order to respectively assess sleep quality during the last month and daytime sleepiness. All patients were followed up for a 6-month period and divided in two groups: seizure-free (Group 1) and seizure recurrence (Group 2). The PSQI and ESS scores were synthesized as binary variables <5/≥5 and <10/≥10, respectively. A comprehensive analysis was performed to evaluate the independent effect of the sleep quality and daytime sleepiness on the risk of having seizures during the follow-up. ResultsBoth reduced sleep quality during the last month and daytime sleepiness were associated with an increased risk of suffering from seizures during the follow-up period. In fact, a PSQI score<5 or an ESS score<10 resulted significantly associated with the absence of seizure recurrence (p<0.004 and p<0.001, respectively). Increasing age had a significantly protective effect in the risk of seizure relapse. ConclusionsOur findings show that reduced sleep quality and daytime sleepiness in patients with JME increase the risk of seizure occurrence in spite of an appropriate pharmacological treatment. This negative effect seems to be more relevant in younger patients. Sleep disorders and their specific correction should be taken into consideration for the management of patients with JME.

The Impact of Sleep Disorder and Job Stress on Turnover Intention of Shift-Working Nurses

The Impact of Sleep Disorder and Job Stress on Turnover Intention of Shift-Working Nurses