Epidemiological studies indicate that about 35% of the world's population periodically suffer from insomnia. Many authors in their studies note sleep disturbances in the clinic of both somatic and mental disorders, often considering sleep disturbances as one of the predictors of these diseases. In psychiatric practice, sleep disorders are most often described in the clinic of depression, which is determined by the general pathophysiological mechanisms of their development due to disruption of the activity of the main neurotransmitter systems of the brain. The results of clinical studies show that the drug of choice in the treatment of sleep disorders in the depression clinic is the antidepressant Mirtazapine, which has a unique profile of pharmacological activity. According to international recommendations, Mirtazapine is a first-line drug in the treatment of anxiety and depressive disorders with sleep disorders and sexual dysfunction caused by taking other antidepressants.

To evaluate the impact of psychosomatic and anxiety symptoms of depression on the formation of postmorbid adaptation in patients who have undergone SARS-CoV-2 infection.

The data of 54 patients, aged 18-55 years, with a current depressive episode who had outpatient SARS-CoV-2 infection were analyzed. The Hamilton depression rating scale (HDRS) was used and somatic condition was assessed using a general assessment of the patient's function limitation at the stage of reconvalescence. A linear regression analysis was performed to assess the association of psychosomatic and anxiety symptoms with somatic condition in SARS-CoV-2 infection, regardless of other factors.

The multimorbidity model took into account, in addition to SARS-CoV-2 caused by organic somatic disorders, psychosomatic manifestations (B=-1.9, p=0.004) and anxiety (B=-3.7, p=0.04) symptoms of depression. Somatic anxiety was significantly correlated with a pronounced impairment of postmorbid readaptation (p<0.05), while mental anxiety did not demonstrate such a relationship (p=0.46). The observed trend seems to be due to the overlap of manifestations of somatic anxiety with the construct of residual somatic symptoms, even though there is no multicollinearity between them.

Identification of clusters of symptoms associated with reduced opportunities for full recovery in the SARS-CoV-2-postmorbid period can significantly help in providing a high-quality and targeted psychopharmacological care.

To search for EEG correlates of suicidal intentions in young depressive patients who survived and have not been ill with COVID-19.

We studied 46 female patients, aged 16-25 years, with depressive disorders who had previously had a mild or asymptomatic coronavirus infection («COVID» group) and 40 female patients with depressive disorders matched in age, syndromic structure of disorders and the initial severity of depression to patients of the «COVID» group but who are known not to have COVID-19 («non-COVID» group). The severity of suicidal intentions was assessed by the number of points of item 3 of HDRS-17. In all patients, pre-treatment multichannel background EEG was recorded with spectral power analysis in narrow frequency sub-bands.

In patients of the «COVID» group, the mean number of points of item 3 of HDRS-17 was slightly higher (at the trend level) than in the «non-COVID» group (2.1±1.5 and 1.8±1.6 points, respectively), and positively correlated (p<0.05) with the spectral power values of theta2 (6-8 Hz) and delta (2-4 Hz) EEG sub-bands. In the «non-COVID» group, the severity of suicidal intentions positively correlated (p<0.05) with the values of the spectral power of alpha2 (9-11 Hz) EEG sub-band.

Suicidal intentions increased in depressive patients survived from COVID-19, and their severity is associated with EEG signs of a reduced functional state of the cerebral cortex.

The COVID-19 pandemic highlighted the need of social media as a medium for gathering health-related information. Simultaneously, a slew of false information, primarily about COVID-19's origin, dissemination, prevention, treatment, and fatality surfaced, making it difficult to distinguish fake from genuine material. However, the possible effects on mental health and the extent to which this influences our decisions, particularly regarding vaccination, are unknown.

The purpose of this questionnaire-based cross-sectional study was to examine Lebanese University students' perceptions of social media influence during the COVID-19 pandemic, as well as to measure the impact of misinformation on respondents' mental health and vaccination decisions.

In total, 440 students took part and were asked to complete an online survey that included questions on social media trust, the "general health questionnaire index" (GHQ-12), and a scale measuring "attitude towards vaccination".

Our data demonstrated a low frequency of mental health disorders among Lebanese University students, which was correlated to frequent social media exposure during the COVID-19 pandemic. These findings suggested that students are more aware of misinformation and had lower rates of despair and anxiety than the general population. Furthermore, Facebook use was associated with worse attitude and behaviour towards vaccination (p = 0.001), but a better mental health. Twitter had the inverse effect (p = 0.002).

It is a necessity to use social media correctly in health-related topics, to push governments and platforms towards making decisions about false and invalidated posts.

Suicidality is a complex clinical phenomenon reflecting vulnerability to suicidal behavior which can be explained via the biopsychosocial paradigm and in relationship with a variety of country-specific factors. Data on suicides within the Russian population are inconsistent (from 11.7 up to 25.1 per 100.000), whereas the population's suicidality risks have not been investigated in detail. Suicidality estimates during the multifactorial influence of the COVID-19 pandemic could serve as a basis to learn more about this mental health indicator.

The current study is a part of the COMET-G international project (40 countries, n=55.589), which represents an analysis of data collected from Russia's general population (n=7714, 33±12 y.o., 61% female) to estimate suicidality using the Risk Assessment Suicidality Scale (RASS) and its relationships with socio-demographic, clinical, and life-habit characteristics during the COVID-19 pandemic. The evaluation of the statistical data (descriptive statistics, ANOVA, LASSO linear regression, significant at α=0.05) was undertaken using TIBCO Statistica.

According to the RASS, at least 20.68%, and up to 29.15%, of the general population in Russia demonstrated increased risk of suicidality during the pandemic. Modelling these risks pointed to the key vulnerabilities related to mental and behavioral disorders, such as (i) current severe depression and a history of mental disorders, (ii) bipolar disorder, (iii) use of illicit drugs surprisingly outranking the alcohol misuse, and psychiatric compounds (hypnotics), highlighting sleep quality deterioration, (iv) a history of suicide attempts and self-harm - though not self-reported changes in depression - in response were predictors of the risk of suicidality, which can be explained by the phenomenon of "learned suicidality", a habitual behavioral suicidality pattern completion accumulated over the background. Such (v) socio-demographic indicators as younger age (disregarding the gender factor), a marital status of single, having no children, living with fewer people in the household, a recent increase in family conflicts, increased need for emotional support, decreased need for communication, and not believing in precautionary measures against COVID-19, contributed to the increase of suicidality risk in the context of the pandemic.

The findings of this study revealed new suicide risk factors that should be taken into account in suicidality risk assessments for the Russian population and in the implementation of suicide prevention programs in the region.

The second year of the COVID-19 (Coronavirus Disease 2019) pandemic has seen the need to identify and assess the long-term consequences of a SARS-CoV-2 (Severe acute respiratory syndrome coronavirus-2) infection on an individual's, including adequate cognitive functioning. This review is attempting to highlight the current understanding of the various direct and indirect mechanisms of nervous system damage, describing the causality of similar symptoms following SARS-CoV-2 infection. This understanding is essential to establish the long-term consequences from the disease (including the potential for increased risk of dementia in some cases) and to identify means of preventing or ameliorating the brain damage. There is urgent need for research to better understand the pathogenesis of neurological disturbances in COVID-19, some of which have probably been covert and the prevalence of which may be considerably underestimated. Neuropsychiatric monitoring follow-up of COVID-19 patients will be important in determining the extent and prevalence of long-term neurological and psychiatric consequences of COVID-19. Early intervention for emerging these problems will be critical for improving quality of life for many COVID-19 survivors.

Background: The COVID-19 pandemic has highlighted telemedicine use for mental illness (telemental health). Objective: In the scoping review, we describe the scope and domains of telemental health during the COVID-19 pandemic from the published literature and discuss associated challenges. Methods: PubMed, EMBASE, and the World Health Organization's Global COVID-19 Database were searched up to August 23, 2020 with no restrictions on study design, language, or geographical, following an a priori protocol (https://osf.io/4dxms/). Data were synthesized using descriptive statistics from the peer-reviewed literature and the National Quality Forum's (NQF) framework for telemental health. Sentiment analysis was also used to gauge patient and healthcare provider opinion toward telemental health. Results: After screening, we identified 196 articles, predominantly from high-income countries (36.22%). Most articles were classified as commentaries (51.53%) and discussed telemental health from a management standpoint (86.22%). Conditions commonly treated with telemental health were depression, anxiety, and eating disorders. Where data were available, most articles described telemental health in a home-based setting (use of telemental health at home by patients). Overall sentiment was neutral-to-positive for the individual domains of the NQF framework. Conclusions: Our findings suggest that there was a marked growth in the uptake of telemental health during the pandemic and that telemental health is effective, safe, and will remain in use for the foreseeable future. However, more needs to be done to better understand these findings. Greater investment into human and financial resources, and research should be made by governments, global funding agencies, academia, and other stakeholders, especially in low- and middle- income countries. Uniform guidelines for licensing and credentialing, payment and insurance, and standards of care need to be developed to ensure safe and optimal telemental health delivery. Telemental health education should be incorporated into health professions curricula globally. With rapidly advancing technology and increasing acceptance of interactive online platforms amongst patients and healthcare providers, telemental health can provide sustainable mental healthcare across patient populations. Systematic Review Registration: https://osf.io/4dxms/.

The article considers the COVID-19 pandemic impact on the population mental health, the main psychogenic and somatogenic mental disorders associated with COVID-19 are distinguished. The comorbid PTSD clinical features are described. The mental health risk factors for health workers are presented. The psychotherapeutic and psychopharmaceutical approaches are proposed.