Introduction There are few published empirical data on the effects of COVID‐19 on mental health, and until now, there is no large international study. Material and methods During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively. Statistical analysis Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables. Results Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed. Conclusions The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.

IntroductionA specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method.MethodsTwenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed.ResultsExploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients.DiscussionThis study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.

ObjectiveSignificant progress was made in the understanding etiopathogenic factors related to MDD, including through research on the role of micro RNAs (miRs). We investigated plasma miRs as potential markers for MDD in patients treated with antidepressants.MethodsAt the initiation and at the end of twelve weeks of treatment, blood samples were collected and a structured diagnostic interview and a standardized depression rating scale for the presence and severity of major depression were done. The average decrease in HAMD score was 76.89%. Plasma miR expression profiling was performed by real time PCR. The lists of up-regulated (cut-off=2) and down-regulated miRs were imported into the miRWalk2.0 algorithm and used for target predictions. KEGG database pathways analysis was used to retrieve the pathways significantly targeted by at least two of the miRs.ResultsOf the 222 miRs detected in plasma samples of MDD patients, 40 were differentially expressed after treatment. Twenty-three miRs were significantly overexpressed with fold changes between 1.85 and 25.42, and 17 miRs were significantly downregulated with fold changes from 0.28 to 0.68. Pathway analysis revealed a list of 29 pathways for up-regulated miRs, and 20 pathways for down-regulated miRs. Six dysregulated miRs are common to all the top five pathways (Wnt signaling, Cancer, Endocytosis, Axon guidance, MAPK signaling): miR-146a-5p, miR-146b-5p, miR-221-3p, miR-24-3p, miR-26a-5p.ConclusionOverall, our miRWalk analysis of changes in plasma microRNAs after treatment of patients with major depression might open a new avenue for the understanding of Escitalopram mode of action and for its side effects.

In the overall management of the most chronic diseases, including diabetes mellitus (DM), adherence to recommended disease-related self-care activities is of paramount importance. The diagnosis and presence of a chronic disease may be considered a difficult and stressful situation in life, a situation in which coping mechanisms are psychological processes developed at a conscious level to manage these situations. This study aimed to explore the possible relationship between the dominance of one of the four major coping styles and adherence to diabetes-related self-care activities (DRSCAs) in the population of patients with type 2 DM (T2DM). In a cross-sectional consecutive-case population-based study design, 126 patients previously diagnosed with T2DM were enrolled. Coping mechanisms were evaluated using the Cope scale inventory, which identifies the dominant coping mechanism: problem-, emotion-, social support-, or avoidance-focused. The quality of DRSCA was evaluated using the summary of diabetes self-care activities questionnaire, in which a higher score was associated with improved adherence. In the study cohort, 45 patients (35.7%) had problem-focused coping, 37 (29.4%) had emotion-focused coping, 32 (25.4%) social support-focused coping, and 12 (9.5%) had avoidance-focused coping. Patients with emotion-focused coping had the highest level (P=0.02) of DRSCA (median 44 points), followed by patients with social support-focused coping (median 40 points) and problem-focused coping (median 36 points), while patients with avoidance-focused coping had the lowest SDSCA total score (33 points). The type of dominant coping mechanism has a significant impact on the quality of the DRSCA measures implemented by the patient to manage their diabetes. Patients with emotion-focused and social support-focused coping styles tend to have significantly increased adherence to DRSCA scores, while patients with other dominant coping styles are less interested in managing their disease.

Previous studies have revealed that attention and inhibition are impaired in individuals with elevated symptoms of depression and anxiety. Virtual reality (VR)-based neuropsychological assessment may be a valid instrument for assessing attention and inhibition given its higher ecological validity when compared to classical tests. However, it is still unclear as to whether a VR assessment can predict depression and anxiety with the same or higher level of effectiveness and adherence as classical neuropsychological measures. The current study examined the effectiveness of a new VR test, Nesplora Aquarium, by testing participants with low (N = 41) and elevated (N = 41) symptoms of depression and anxiety. Participants completed a continuous performance test where they had to respond to stimuli (species of fish) in a virtual aquarium, as well as paper-and-pencil and computerised tests. Participants’ performance in Nesplora Aquarium was positively associated with classic measures of attention and inhibition, and effectively predicted symptoms of depression and anxiety above and beyond traditional cognitive measures such as psychomotor speed and executive functioning, spatial working memory span. Hence, VR is a safe, enjoyable, effective and more ecological alternative for the assessment of attention and inhibition among individuals with elevated anxiety and depression symptoms.