Comparison of model feature importance statistics to identify covariates that contribute most to model accuracy in prediction of insomnia.

IMPORTANCE: Sleep is critical to a person's physical and mental health and there is a need to create high performing machine learning models and critically understand how models rank covariates. OBJECTIVE: The study aimed to compare how different model metrics rank the importance of various covariates. DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional cohort study was conducted retrospectively using the National Health and Nutrition Examination Survey (NHANES), which is publicly available. METHODS: This study employed univariate logistic models to filter out strong, independent covariates associated with sleep disorder outcome, which were then used in machine-learning models, of which, the most optimal was chosen. The machine-learning model was used to rank model covariates based on gain, cover, and frequency to identify risk factors for sleep disorder and feature importance was evaluated using both univariable and multivariable t-statistics. A correlation matrix was created to determine the similarity of the importance of variables ranked by different model metrics. RESULTS: The XGBoost model had the highest mean AUROC of 0.865 (SD = 0.010) with Accuracy of 0.762 (SD = 0.019), F1 of 0.875 (SD = 0.766), Sensitivity of 0.768 (SD = 0.023), Specificity of 0.782 (SD = 0.025), Positive Predictive Value of 0.806 (SD = 0.025), and Negative Predictive Value of 0.737 (SD = 0.034). The model metrics from the machine learning of gain and cover were strongly positively correlated with one another (r > 0.70). Model metrics from the multivariable model and univariable model were weakly negatively correlated with machine learning model metrics (R between -0.3 and 0). CONCLUSION: The ranking of important variables associated with sleep disorder in this cohort from the machine learning models were not related to those from regression models.

Sleep-wake changes and incident depressive symptoms in midlife women.

Our study aimed to investigate the relationship between sleep-wake changes and depressive symptoms events among midlife women. We enrolled 1579 women aged 44-56 years who had no clinically relevant depressive symptoms at baseline. Depressive symptoms were assessed at each visit using the Center for Epidemiologic Studies Depression scale. At the third and fourth follow-up visits, women reported their sleep habits. The sleep midpoint was defined as the time to fall asleep plus one-half of the sleep duration. Sleep-wake changes were determined by the difference in the midpoint of sleep between the third and fourth visits, which were 1 year apart. The median follow-up time was 7 years (range 1-7 years). Cox proportional hazard models were fitted to calculate hazard ratios and 95% confidence intervals for the incidence of depressive symptoms associated with sleep-wake changes. After adjusting for potential confounding factors, the hazard ratio (95% confidence interval) of depressive symptoms for severe sleep midpoint changes was 1.51 (1.12, 2.05) compared with mild sleep midpoint changes. This relationship remained statistically significant and changed little when additionally controlling for sleep duration, sleep quality, insomnia symptoms, use of sleep medications, use of nervous medications, glucose, insulin, lipids, dietary energy intake, and C-reactive protein. Our findings indicate that exposure to long-term severe sleep-wake changes increases the risk of depressive symptoms in midlife women.

Effect of occupational stress and resilience on insomnia among nurses during COVID-19 in China: a structural equation modelling analysis.

OBJECTIVES: To explore the effects of occupational stress and resilience on insomnia among Chinese nurses during the COVID-19 pandemic. DESIGN, SETTINGS AND PARTICIPANTS: A quantitative description study. The data were collected via a cross-sectional survey. A total of 725 front-line nurses at three tertiary hospitals in western China were included from December 2022 to January 2023. The Connor-Davidson Resilience Scale, Job Content Questionnaire, and Athens Insomnia Scale were used to collect data from a self-reported online questionnaire. OUTCOME MEASURES: The outcome variable was insomnia, and structural equation modelling was used to assess the associations among resilience, occupational stress and insomnia. RESULTS: The prevalence of insomnia among the participants was 58.76%. The structural equation model showed that resilience had a negative direct effect on insomnia and occupational stress, and occupational stress had a positive direct effect on insomnia. Involvement in COVID-19-related work has a positive effect on insomnia through occupational stress. In contrast, higher education levels improved insomnia through increased resilience. CONCLUSION: A significantly higher prevalence of insomnia has been observed among Chinese nurses during the COVID-19 pandemic. Our study suggests that better resilience may improve insomnia by relieving occupational stress, and implementing measures to promote resilience is essential to reduce occupational stress in nurses and improve their sleep quality.

Mendelian randomization highlights sleep disturbances mediated the effect of depression on chronic pain.

INTRODUCTION: Depression and chronic pain are significant contributors to the global burden of disease. Previous research has revealed complex relationships between these two conditions, which may be influenced by sleep quality. However, observational studies have limitations, including confounding factors and reverse causation. This study aims to explore the mediating effects of sleep on the relationship between depression and chronic pain using Mendelian randomization (MR). METHODS: We conducted a two-step, two-sample MR study using mediation analysis. We obtained major depressive disorder (MDD) Genome-Wide Association Studdies (GWAS) data from Wray et al.'s GWAS meta-analysis. Phenotypic data related to sleep were collected from the UK Biobank. Chronic pain data were obtained from the Finnish database. RESULTS: MR analysis revealed significant genetic associations between MDD and chronic localized pain [IVW: odds ratio (OR) = 1.26, 95% confidence interval (CI) = 1.16-1.38, p = 2.52 × 10-7] as well as fibromyalgia (IVW: OR = 2.17, 95% CI = 1.34-3.52, p = .002). Genetic susceptibility for MDD was also associated with insomnia (IVW: OR = 1.10, 95% CI = 1.06-1.13, p = 3.57 × 10-8) and self-reported short sleep duration (IVW: OR = 1.03, 95% CI = 1.00-1.06, p = .047). The mediating effects of insomnia and fibromyalgia on the pathway from depression to chronic regional pain were 1.04 and 1.03, respectively, with mediation proportions of 12.8% and 15.2%. Insomnia mediated the pathway between depression and fibromyalgia with an effect of 1.12, accounting for 15.2% of the total effect. CONCLUSION: This two-step MR analysis strengthens the evidence of genetic predictive associations between depression and chronic pain, highlighting the mediating roles of insomnia and short sleep duration. It further elucidates the specific roles of distinct sleep disorders, differentiating insomnia and short sleep duration from other sleep-related phenotypes.

[Bayesian network prediction study on the impact of occupational health psychological factors on insomnia among thermal power generation workers].

Objective: To explore the risk factors of insomnia among employees in the thermal power generation industry and the network relationships between their interactions, and to provide scientific basis for personalized interventions for high-risk groups with insomnia. Methods: In November 2022, 860 employees of a typical thermal power generation enterprise were selected as the research subjects by cluster sampling. On-site occupational health field surveys and questionnaire surveys were used to collect basic information, occupational characteristics, anxiety, depression, stress, occupational stress, and insomnia. The interaction between insomnia and occupational health psychological factors was evaluated by using structural equation model analysis and Bayesian network construction. Results: The detection rates of anxiety, depression and stress were 34.0% (292/860), 32.1% (276/860) and 18.0% (155/860), respectively. The total score of occupational stress was (445.3±49.9) points, and 160 workers (18.6%) were suspected of insomnia, and 578 workers (67.2%) had insomnia. Structural equation model analysis showed that occupational stress had a significant effect on the occurrence of insomnia in thermal power generation workers (standardized load coefficient was 0.644), and occupational health psychology had a low effect on insomnia (standardized load coefficient was 0.065). However, the Bayesian network model further analysis found that anxiety and stress were the two parent nodes of insomnia, with direct causal relationships, the arc strength was-8.607 and -15.665, respectively. The model prediction results showed that the probability of insomnia occurring was predicted to be 0 in the cases of no stress and anxiety, low stress without anxiety, and no stress with low anxiety. When high stress with low anxiety and low stress with high anxiety occurred, the predicted probability of insomnia occurring were 0.38 and 0.47, respectively. When both high stress and high anxiety occurred simultaneously, the predicted probability of insomnia occurring was 0.51. Conclusion: Bayesian network risk assessment can intuitively reveal and predict the insomnia risk of thermal power generation workers and the network interaction relationship between the risks. Anxiety and stress are the direct causal risks of insomnia, and stress is the main risk of individual insomnia of thermal power generation workers. The occurrence of insomnia can be reduced based on scientific intervention of stress conditions.

Sleep quality and mental disorder symptoms among correctional workers in Ontario, Canada.

Correctional workers (CWs) report high levels of work stressors, frequent exposures to potentially psychologically traumatic events (PPTEs), and substantial mental health challenges. There is evidence of associations between sleep disturbances and diverse mental health challenges, including preliminary evidence from public safety personnel; however, replications and extensions would better inform interventions to support mental health. The current study was designed to examine associations between quality of sleep, work stress, and mental health disorders in a sample of diverse CWs employed in a provincial correctional service in Ontario, Canada. Data were analyzed from 943 CWs who participated in the cross-sectional, web-based Ontario Provincial Correctional Worker Mental Health and Well-Being Study conducted from December 2017 to June 2018. Sleep quality indicators included symptoms of insomnia, total hours of sleep per night on work nights and off-shift nights, number of days feeling rested per week, and overall sleep quality. Descriptive statistics, analyses of variance, correlational analyses, and logistic regression were used to examine relationships among sleep quality, stress of shift work, and mental health disorder symptoms. CWs slept an average of 6.0 h per night when working and 7.2 h during off-shift nights. CWs reported waking up feeling rested an average of 2.6 days per week and rated their overall quality of sleep in the fair to poor range. Many CWs (64.9%) screened positive for clinically significant symptoms of insomnia. There were also differences across occupational groups such that CWs working as correctional officers reported the most sleep problems. There were statistically significant relationships between insomnia and mental health disorder symptoms. Higher levels of stress from shift work were associated with worse sleep quality. CWs, especially those working as correctional officers in a provincial prison, reported many indicators consistent with poorer quality of sleep. Poor quality of sleep was also associated with work stress and mental health disorders.

Associations of sedentary behaviors with mental health outcomes in a cohort of patients with minor ischemic stroke.

OBJECTIVE: The relationship between sedentary behaviors and functional outcomes of acute ischemic stroke (AIS) has been previously reported. However, it remains unclear whether sedentary behaviors are associated with mental health outcomes in AIS patients. Therefore, the objective of this study was to investigate the mental health outcomes in patients with minor AIS one year after stroke onset. METHODS: This cross-sectional study recruited 1230 patients with minor AIS (NIHSS ≤ 5) from three hospitals in China. One year after discharge, patients were interviewed using face-to-face questionnaires, including the PHQ-9, GAD-7, and ISI, to assess symptoms of depression, anxiety, and insomnia, respectively. Participants were categorized into the long sedentary time group and the short sedentary time group based on the median sedentary time of all participants. The associations between leisure sedentary time and mental health outcomes were investigated. RESULTS: Participants with a long leisure sedentary time had higher PHQ-9, GAD-7, and ISI scores than those with a short sedentary time. Longer sedentary time was associated with an increased risk of experiencing symptoms of major depression (RR, 95% CI: 1.79, 1.47 to 2.18), anxiety (RR, 95% CI: 3.28, 2.08 to 5.18), and insomnia (RR, 95% CI: 2.58, 2.03 to 3.28) one year after a minor AIS. CONCLUSION: Excessive sedentary time is associated with long-term mental health conditions after stroke. Therefore, reducing the sedentary time might be helpful for preventing poststroke depression, anxiety, and insomnia.

Comorbid Insomnia and Sleep Apnea: COMISA.

The term "comorbid insomnia and sleep apnea" (COMISA) has been used to categorize the co-occurrence of the most prevalent and impacting sleep disorders. Meanwhile, both insomnia and sleep apnea have been shown to be associated with increased stress levels and cardiometabolic risk, a major cause of mortality. The better knowledge about such convergence would be critical for better understanding pathophysiological pathways and mechanisms. This article provides an overview of epidemiologic aspects, clinical findings, and mechanisms subsiding COMISA. Odontostomatological approach with mandibular advancement devices are discussed as an effective therapeutic approach in these patients.

Genomic correlation, shared loci, and causal relationship between insomnia and psoriasis: a large-scale genome-wide cross-trait analysis.

Psoriasis and insomnia have co-morbidities, however, their common genetic basis is still unclear. We analyzed psoriasis and insomnia with summary statistics from genome-wide association studies. We first quantified overall genetic correlations, then ascertained multiple effector loci and expression-trait associations, and lastly, we analyzed the causal effects between psoriasis and insomnia. A prevalent genetic link between psoriasis and insomnia was found, four pleiotropic loci affecting psoriasis and insomnia were identified, and 154 genes were shared, indicating a genetic link between psoriasis and insomnia. Yet, there is no causal relationship between psoriasis and insomnia by two-sample Mendelian randomization. We discovered a genetic connection between insomnia and psoriasis driven by biological pleiotropy and unrelated to causation. Cross-trait analysis indicates a common genetic basis for psoriasis and insomnia. The results of this study highlight the importance of sleep management in the pathogenesis of psoriasis.

Poor sleep quality is an important modifiable risk factor for dementia: Population attributable fraction of poor sleep in a Brazilian population-based study.

OBJECTIVES: The populational impact of poor sleep quality and the risk of dementia is unclear. We analyzed the Population Attributable Fraction (PAF) of poor sleep quality for dementia, and its association with other two sleep parameters through self-reported and single questions collected in a large-scale Brazilian cohort (ELSI-Brazil). METHODS: A subset of the ELSI-Brazil with complete responses to sleep quality was retrieved for this study. This is a large representative sample of the Brazilian elderly population with an extensive assessment of sociodemographic and health risk variables. Prevalence of poor sleep quality was estimated according to the complex sample design, and its PAF was measured using a meta-analytic relative risk. A total of 6024 (56.3% women, mean 62.8 ± 9.5 years of age) individuals had complete responses. RESULTS: The prevalence of poor sleep quality was 24.9% (95%CI 23%-26%), and the PAF of poor sleep quality including other 10 modifiable risk factors of dementia was 52.5% in Brazil. Secondary analyses identified that sleep quality, restorative sleep and sleep drug usage varied considerably according to age ranges, race, and gender. CONCLUSIONS: Poor sleep quality is an important populational modifiable risk factor for dementia in Brazil. Targeted interventions may provide an important impact in preventing dementia in low- and middle-income countries.

Association of insomnia symptoms and trajectories with the risk of functional disability: a prospective cohort study.

BACKGROUND: There is limited understanding regarding prospective associations of insomnia symptoms and trajectories with functional disability. We aimed to investigate the associations of insomnia symptoms and trajectories with functional disability. METHOD: A total of 13 197 participants were eligible from the Health and Retirement Study. Insomnia symptoms included non-restorative sleep, difficulty initiating sleep, early morning awakening, and difficulty maintaining sleep. We also identified four distinct trajectories of insomnia symptoms: low, decreasing, increasing, and high insomnia symptoms. Functional status was assessed through activities of daily living (ADL) and instrumental activities of daily living (IADL). RESULTS: Participants experiencing one (HR, 1.21; 95% CI, 1.13-1.29), two (HR, 1.43; 95% CI, 1.29-1.57), or three to four (HR, 1.41; 95% CI, 1.25-1.60) insomnia symptoms had a higher risk of ADL disability than asymptomatic respondents. Similarly, participants with one or more insomnia symptoms had a higher risk of IADL disability. Furthermore, using the trajectory with low insomnia symptoms as the reference, decreasing insomnia symptoms (HR, 1.22; 95% CI, 1.12-1.34), increasing insomnia symptoms (HR, 1.21; 95% CI, 1.05-1.41), and high insomnia symptoms (HR, 1.36; 95% CI, 1.18-1.56) were all associated with an increased risk of ADL disability. CONCLUSION: Both a single measurement and dynamic trajectory of insomnia symptoms are associated with the onset of ADL disability. Increased awareness and management of insomnia symptoms may contribute to the prevention of functional disability occurrence.

Mediating effect of depression and acute stress between exposure to Israel-Gaza war media coverage and insomnia: a multinational study from five arab countries.

BACKGROUND: In the context of persistent wars and conflicts worldwide, the impact of acute, excessive and constant exposure to media coverage of such events on mental health outcomes becomes a serious problem for public health, and requires therefore urgent investigation to inform an effective prevention and management response. The objective of the present study was to test the hypothesis that war-related media exposure is directly and indirectly associated with insomnia through depression and perceived stress among adults from the general population of different Arab countries. METHODS: A cross-sectional study was carried-out two weeks after the beginning of Israel-Gaza war on the 7th of October 2023. An anonymous online survey and a snowball sampling method were adopted to collect data. A sample of 2635 general population adults (mean age of 23.98 ± 7.55 years, 73.1% females) took part of this study. RESULTS: The results of the mediation analysis showed that, after adjusting over potential confounders, depression and perceived stress fully mediated the association between war media exposure and insomnia; higher war media exposure was significantly associated with higher depression (Beta = 0.13; p < .001) and perceived stress (Beta = 0.07; p < .001), whereas higher depression (Beta = 0.43; p < .001) and perceived stress (Beta = 0.31; p < .001) were significantly associated with higher insomnia. It is of note that war media exposure was not significantly and directly associated with insomnia (Beta = - 0.01; p = .178 and Beta = 0.02; p = .098 respectively). CONCLUSION: The present study is the first to provide evidence that more time spent viewing the horrors of war is significantly associated with insomnia. In addition, symptoms of stress and depression were present as early as two weeks following the beginning of the war, and played a significant role in mediating the association between war media coverage and insomnia. These findings suggest that timely screening for, and management of depression and stress symptoms in clinical and preventive programs might be beneficial for community adults who have been heavily and indirectly exposed to war through media, and present with insomnia.

Psychological status of pregnant women during the omicron pandemic outbreak in China.

BACKGROUND: Pregnant women faced great challenges and psychological and physiological changes of varying degrees during the omicron epidemic outbreak. It is important to recognize the potential impact of these challenges on the mental health of pregnant women and to provide appropriate resources and support to mitigate their effects. METHOD: By using the convenience sampling approach, a total of 401 pregnant women from two hospitals of different grades in two cities were included in the survey. The cross-sectional survey was conducted by basic characteristics, Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9), Insomnia Severity Index (ISI) and self-made questionnaire. RESULTS: Insomnia affected 207 participants (51.6%), depression affected 160 participants (39.9%) and anxiety affected 151 participants (37.7%). Moreover, pregnant women in provincial capital city were more likely to experience anxiety, depression and insomnia than those in county-level city (P < 0.01). Pregnant women's anxiety, depression and insomnia were positively correlated with the severity of COVID-19 infection (P < 0.05). However, COVID-19 infection had no appreciable impact on maternal demand for termination of pregnancy and cesarean section (P > 0.05). CONCLUSION: Pregnant women frequently suffer from anxiety disorder, depression and insomnia as a result of the omicron pandemic in China. During this period, the community and medical professionals should provide more psychological counseling, conduct health education and offer virtual prenatal care to pregnant women (particularly in the provincial capital city).

Impact of COVID-19-Induced Academic Stress on Insomnia and Suicidal Ideation among Taiwanese Health Trainees and Junior Doctors.

BACKGROUND Clinical training for allied health trainees (AHTs) and postgraduate-year (PGY) doctors needed to go online during the outbreak of coronavirus disease 2019 (COVID-19), which may have caused academic stress and consequent outcomes among this cohort. MATERIAL AND METHODS To evaluate academic-related stress, clinical confidence, psychological distress, and insomnia, an online survey-based study was conducted among Taiwanese AHTs and PGY doctors between July and December, 2022, during the COVID-19 pandemic. The survey included the 21-item Depression, Anxiety, and Stress Scale (DASS-21), the Insomnia Severity Index (ISI), and self-designed questions. It was distributed using convenience sampling and snowball sampling and was completed by 522 participants. RESULTS Structural equational modelling showed that academic stress was negatively associated with clinical confidence (standardized coefficient [ß]=-0.382, p<0.001). Clinical confidence was negatively associated with psychological distress (ß=-0.397, p<0.001), which was associated with insomnia (ß=0.648, p<0.001). Additionally, clinical confidence and psychological distress were the significant mediators. Results indicated that higher academic stress was associated with higher level of insomnia via the mediation of clinical confidence and psychological distress. CONCLUSIONS Academic stress related to changes in clinical training may have led to insomnia among AHTs and PGY doctors during the pandemic. Factors to reduce academic stress should be investigated to promote good mental health while providing sufficient clinical training, especially during events that can cause increased stress (eg, epidemics, pandemics).

Prevalence of mental health symptoms in Austrian veterinarians and examination of influencing factors.

Although previous studies point to a high mental health burden in veterinarians, little is known about mental health in Austrian veterinarians as well as potential underlying factors of poor mental health. We assessed mental health in Austrian veterinarians, compared it to the mental health of the general population, and explored potential risk factors for poor mental health in veterinarians. A total of n = 440 veterinarians (72.0% women; mean age: 44.53 ± 11.25 years) took part in an online survey in 2022 in which validated screening tools for symptoms of depression (PHQ-9), anxiety (GAD-7), sleep disorders (ISI-2), perceived stress (PSS-4), and alcohol abuse (CAGE) were applied. Multivariable logistic regression revealed higher adjusted odds for exceeding cut-offs for clinically relevant depressive, anxiety, and insomnia symptoms in veterinarians (1.35-2.70) compared to the general population. Mental health symptoms in veterinarians were associated with female gender, physical inactivity, higher smartphone usage, higher working hours, less professional experience, and working with pets. In conclusion, it appears that veterinarians encounter mental health challenges that are more pronounced than those experienced in the general population. The teaching of strategies to improve mental hygiene as part of the curricula of veterinary education and targeted training and mentoring of employers and their team should be implemented to improve mental health in the veterinary profession.

Sleep disturbances and incident risk of major depressive disorder in a population-based cohort.

Sleep disturbances are well-known symptoms of major depressive disorder (MDD). However, the prospective risk of MDD in the presence of sleep disturbances in a general population-based cohort is not well known. This study investigated associations between both polysomnography (PSG)-based or subjective sleep features and incident MDD. Participants representative of the general population who had never had MDD completed sleep questionnaires (n = 2000) and/or underwent PSG (n = 717). Over 8 years' follow-up, participants completed psychiatric interviews enabling the diagnosis of MDD. Survival Cox models were used to analyze associations between sleep features and MDD incidence. A higher Epworth Sleepiness Scale and presence of insomnia symptoms were significantly associated with a higher incidence of MDD (hazard ratio [HR] [95 % confidence interval (CI)]: 1.062 [1.022-1.103], p = 0.002 and 1.437 [1.064-1.940], p = 0.018, respectively). Higher density of rapid eye movements in rapid eye movement (REM) sleep was associated with a higher incidence of MDD in men (HR 1.270 [95 % CI 1.064-1.516], p = 0.008). In women, higher delta power spectral density was associated with a lower MDD incidence (HR 0.674 [95 % CI 0.463-0.981], p = 0.039). This study confirmed the associations between subjective and objective sleep features and the incidence of MDD in a large community dwelling cohort.

Knowledge, attitude and practice towards insomnia and sleep hygiene among patients with chronic insomnia in Northwest China in 2023: a cross-sectional survey.

OBJECTIVES: To investigate the knowledge, attitude and practice (KAP) towards insomnia and sleep hygiene among patients with chronic insomnia. DESIGN: Web-based cross-sectional survey. SETTING: Shaanxi Provincial People's Hospital (northwest China) between January 2023 and May 2023. PARTICIPANTS: Patients with chronic insomnia. PRIMARY AND SECONDARY OUTCOME MEASURES: Demographic characteristics and KAP towards insomnia and sleep hygiene were collected by distributing a questionnaire developed by the authors. RESULTS: A total of 613 people participated in this study, with a Mean Knowledge Score of 7.63±2.56 (total score of 12), a Mean Attitude Score of 48.39±6.643 (total score of 70) and a Mean Practice Score of 42.37±8.592 (total score of 70). Knowledge was significantly correlated with attitude (r=0.447, p<0.001) and practice (r=0.327, p<0.001), and attitude was significantly correlated with practice (r=0.486, p<0.001). Multivariable logistic regression showed that higher knowledge (OR=1.181 (1.062-1.314), p=0.002) and better attitude (OR=1.171 (1.124-1.221), p<0.001) were independently associated with good practice. According to the structural equation modelling analysis, knowledge directly influenced practice (ß=0.457, p=<0.001) and attitude (ß=1.160, p=<0.001), while attitude influenced practice (ß=0.550, p=<0.001). CONCLUSION: The KAP towards insomnia and sleep hygiene among patients with chronic insomnia in Northwest China in 2023 was moderate, with better practice showing signs of being influenced by better knowledge and more positive attitudes.

Causal associations between sleep traits and age at natural menopause: A Mendelian randomization study.

Observational studies have revealed that several sleep traits can impact ovarian function in women. However, there is no evidence suggesting associations between sleep traits and age at natural menopause (ANM). The objective of this study was to investigate the causal relationship between sleep traits (insomnia, sleep duration, daytime sleepiness) and ANM from the perspective of genetic variation. We selected the single-nucleotide polymorphisms from large-scale genome-wide association studies as instrumental variables and conducted a two-sample Mendelian randomization (MR) analysis on these single-nucleotide polymorphisms, including inverse variance weighting, MR-Egger, weighted median, simple mode and weighted mode. The Steiger test was employed to verify the correct causal directionality. The robustness of the MR analysis was examined through Cochran's Q test, horizontal pleiotropy test, and leave-one-out analysis. The results indicated that insomnia was causally associated with ANM (inverse variance weighting: ß = -0.982; 95% CI: -1.852 to -0.111, P = .027), with other analyses confirming the robustness of this finding. Steiger test and reverse MR Analysis validated the absence of a reverse causal association between the two. However, sleep duration and daytime sleepiness did not exhibit a causal effect on ANM. In summary, this study provides initial evidence that insomnia can contribute to an earlier onset of ANM. Nevertheless, further clinical studies are needed to elucidate these findings.

[Sleep disorders in patients with medication-overuse headache]. / Narusheniya sna u bol'nykh s lekarstvenno-indutsirovannoi golovnoi bol'yu.

OBJECTIVE: To analyze complaints about sleep disorders and assess the incidence of various sleep disorders, using relevant scales, in patients with medication-overuse headache (MOH) in comparison with patients without MOH. MATERIAL AND METHODS: The prospective case-control study included 171 patients, aged 18 years and older, with MOH (main group), and173 patients with primary headaches without MOH (control group). A neurologist conducted an initial examination and professional interview before the start of treatment. To diagnose sleep disorders, the International Classification of Sleep Disorders (3rd edition, 2014) was used. Additionally, an assessment was made using the Insomnia Severity Index Scale, the Epworth Sleepiness Scale (ESS) and the Lausanne Obstructive Sleep Apnea Syndrome Scale (NoSAS). RESULTS: Statistically significant differences were revealed in the prevalence of the following complaints about sleep disorders in patients with MOH: lack of sleep (51.5%), frequent awakenings during sleep (43.3%), discomfort in legs before falling asleep or at rest in the evening (37.4%). Difficulties falling asleep occurred equally often in both patients with MOH (43.9%) and without MOH (37.0%), as well as daytime sleepiness (40.4% vs 36.4%) and the presence of snoring (13% of patients in each group). Patients with MOH were significantly more likely to suffer from chronic insomnia (60.2% and 47.4%, respectively, p=0.02; OR 1.7; 95% CI 1.1-2.6) and restless legs syndrome (37.4% and 22.0%, respectively, p=0.002; OR 2.1; 95% CI 1.3-3.4). The incidence of hypersomnia and obstructive sleep apnea syndrome did not have statistically significant differences. CONCLUSION: Patients with MOH compared to patients without MOH have a significantly higher incidence of main complaints of sleep disorders, chronic insomnia and restless legs syndrome, which indicates the importance of sleep disorders in the pathogenesis of medication-overuse headaches and requires timely diagnosis and treatment to prevent the progression of both headaches and sleep disorders.

[Sleep disorders and oncological diseases]. / Rasstroistva sna i onkologicheskie zabolevaniya.

The study of neurological symptoms and signs connected with neoplasms and antitumor therapy is relevant in the context of an increasing prevalence of cancer. The COVID-19 pandemic and social factors have increased the number of patients suffering from insomnia. Sleep disorders is an unfavorable prognostic factor for neoplasms. The review presents risk factors and mechanisms of sleep disturbance, their relationship with inflammation and dysfunction of the immune system in cancer. In particular, dysfunction of the melatonergic system is discussed as a risk factor for the development of insomnia and cancer. The relevance of developing measures aimed at the rehabilitation of patients in order to restore normal sleep, which plays a fundamental role in maintaining a person's mental and physical health, is emphasized.