Somatic multicomorbidity and disability in patients with psychiatric disorders in comparison to the general population: a quasi-epidemiological investigation in 54,826 subjects from 40 countries (COMET-G study).

BACKGROUND: The prevalence of medical illnesses is high among patients with psychiatric disorders. The current study aimed to investigate multi-comorbidity in patients with psychiatric disorders in comparison to the general population. Secondary aims were to investigate factors associated with metabolic syndrome and treatment appropriateness of mental disorders. METHODS: The sample included 54,826 subjects (64.73% females; 34.15% males; 1.11% nonbinary gender) from 40 countries (COMET-G study). The analysis was based on the registration of previous history that could serve as a fair approximation for the lifetime prevalence of various medical conditions. RESULTS: About 24.5% reported a history of somatic and 26.14% of mental disorders. Mental disorders were by far the most prevalent group of medical conditions. Comorbidity of any somatic with any mental disorder was reported by 8.21%. One-third to almost two-thirds of somatic patients were also suffering from a mental disorder depending on the severity and multicomorbidity. Bipolar and psychotic patients and to a lesser extent depressives, manifested an earlier (15-20 years) manifestation of somatic multicomorbidity, severe disability, and probably earlier death. The overwhelming majority of patients with mental disorders were not receiving treatment or were being treated in a way that was not recommended. Antipsychotics and antidepressants were not related to the development of metabolic syndrome. CONCLUSIONS: The finding that one-third to almost two-thirds of somatic patients also suffered from a mental disorder strongly suggests that psychiatry is the field with the most trans-specialty and interdisciplinary value and application points to the importance of teaching psychiatry and mental health in medical schools and also to the need for more technocratically oriented training of psychiatric residents.

Neurological soft signs and schizophrenia.

Neurological soft signs (NSS) are likely to represent abnormal neurodevelopment and aberration in neural maturation and connectivity. They may not be unique to schizophrenia, but they appear to be a trait characteristic in psychosis and therefore could serve as an objective measure for the assessment of serious psychiatric disorder in the prodromal phase, at onset, and along the course of the disease. Evidence so far proposes that NSS are independent of antipsychotic treatment and therefore constitute a trait symptom, independent of the illness stage and medication. Somatomotor and somatosensory regions, spatial orientation, and visual processing areas, cerebellum, and basal ganglia are implicated as possible structural substrates of NSS. Several studies have examined the relationship between NSS and schizophrenia positive, negative symptoms and deficit syndrome; however, results have been so far ambiguous. Neurocognitive symptoms have been moderately related to NSS suggesting that neurocognitive deficits may contribute to the construct of NSS. Regardless of the fact that NSS are not unique to schizophrenia but extend across to the schizotypy continuum, they may help identify individuals at risk of developing schizophrenia later in life.

Prescribing Z-drugs in Greece: an analysis of the national prescription database from 2018 to 2021.

BACKGROUND: The Z-drugs are indicated for the short-treatment of insomnia, but they are associated with abuse, dependence and side-effects. There are only sparse data about Z-drug prescribing in Greece. METHODS: We analyzed data from the Greek prescription database, considering prescriptions for the available Z-drugs in Greece, i.e., zolpidem and zopiclone, during the period from 01.10.2018 to 01.10.2021 in order to examine the prevalence, monthly number and characteristics of Z-drug prescriptions in Greece. RESULTS: There were 1,229,842 prescriptions for Z-drugs (zolpidem: 89.7%) during the investigated period from 2018 to 2021, which corresponded to 156,554 patients (73.1% ≥ 65 years, 64.5% female). More than half of the patients (65.8%) had more than one prescription with a median number of 8, interquartile range IQR [3, 17], prescriptions during the three-year study period. Most patients (76.1%) were prescribed by medical specialties other than psychiatrists and neurologists, despite a considerable frequency of psychiatric comorbidities (53.7%). About half of patients with anxiety/depression were not prescribed anxiolytics or antidepressants, a practice more frequently observed among medical specialties other than psychiatrists and neurologists. The average annual prevalence of at least one prescription for Z-drugs in the Greek population during 2019-2020 was approximately 0.9% (higher in females and older adults). The monthly number of prescriptions was relatively stable with a median number of 334.2 IQR [310.4; 351.6] prescriptions per 100,000 persons. CONCLUSIONS: A considerable number of patients are prescribed Z-drugs in Greece, more often older adults, females and patients with psychiatric comorbidities. The prescribing physicians were in the majority (70%) internists and general practitioners, while psychiatrists (10.9%) and neurologists (6.1%) accounted for a smaller proportion. Due to the limitations inherent to medical claims databases, further research is warranted in order to elucidate the potential abuse and misuse of Z-drugs.

Beliefs in Conspiracy Theories and Mental Health in the Student Community of Latvia During the COVID-19 Outbreak.

BACKGROUND: The objective of this study was to investigate self-reported changes in mental health and their association with various sociodemographic factors and beliefs in conspiracy theories among university and college students in Latvia during the second state of emergency caused by COVID-19. SUBJECTS AND METHODS: This cross-sectional study was conducted as part of an international research project, where university and college students were anonymously asked to complete an online self-report questionnaire. Changes in anxiety and depression were assessed using self-rated questions. Statistical analysis involved Pearson's chi-square test and univariate binary logistic regression.ression. RESULTS: The study comprised 1047 students, with 828 females (79.08% aged 21.71±0.09). Worsening in self-reported anxiety was more prevalent among females (69.3%, p<0.001), unemployed respondents (70.0%, p=0.003), individuals who were were not working during the lockdown (70.3%, p<0.001), those experiencing deterioration in general health condition (93.0%, p<0.001), and those belonging to or having knowledge of someone in a vulnerable group (69.5%, p=0.004). Worsening self-reported depression was more prevalent in respondents who did not work during the lockdown (63.9%, p=0.014) and those with deteriorating general health conditions (93.0%, p<0.001). Increased odds ratios (OR) for experiencing changes in anxiety and depression were associated with beliefs in the following conspiracy theories: 'Recommended measures are an attempt to restrict human rights' (OR=1.49, p=0.019 and OR=2.40, p<0.001, respectively). Furthermore, increased OR for experiencing changes in depression were associated with beliefs in the following conspiracy theories: 'The COVID-19 vaccine was ready before the virus spread' (OR=3.11, p=0.007), 'COVID-19 has a lower mortality rate" (OR=1.85, p<0.001)', 'Recommended measures are an attempt to restrict human rights' (OR=2.40, p<0.001), and 'The COVID-19 outbreak is the creation of world leaders' (OR=2.17, p=0.003). CONCLUSIONS: Self-reported changes in depression and anxiety were associated with certain beliefs in specific conspiracy theories.

Gender, age at onset, and duration of being ill as predictors for the long-term course and outcome of schizophrenia: an international multicenter study.

BACKGROUND: The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia. METHODS: Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects. RESULTS: There was a 3-year later age at onset for females (P < .001) and lower rates of negative symptoms (P < .01) and higher depression/anxiety measures (P < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages (P = .001). No significant effects were found concerning duration of illness. DISCUSSION: Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.

Paternal age and specific neurological soft signs as reliable and valid neurobiological markers for the diagnosis of patients with schizophrenia.

Advanced parental age at delivery and neurological soft signs (NSS) constitute risk factors for schizophrenia. The aim of the current study was to develop a neurobiological diagnostic index by combining them, and without the contribution of clinical symptomatology. The study sample included 133 patients suffering from schizophrenia according to DSM-IV-TR (77 males and 56 females; aged 33.55 ± 11.22 years old) and 122 normal controls (66 males and 56 females; aged 32.89 ± 9.91 years old). The assessment included the Neurological Evaluation Scale (NES), and a number of scales assessing the clinical symptoms and adverse effects. The statistical analysis included exploratory t-test, Pearson Correlation coefficient (R) and Discriminant Function Analysis (DFA). Exploratory t-tests and Pearson's R suggested that sex, parental age and NSS constitute independent components. On the basis of DFA results, the Psychotic Neurological Index was developed. At the cut-off PNI score of 8.5, sensitivity was equal to 94.74 and specificity to 93.44. The current is probably the first study to report on an easily obtainable diagnostic neurobiological marker with identifiable properties which is absolutely independent from the clinical manifestations and could serve in distinguishing between patients with schizophrenia and healthy controls with high efficacy.

Adherence to facemask use in public places during the autumn-winter 2020 COVID-19 lockdown in Greece: observational data.

BACKGROUND: Wearing facemasks is of proven efficacy as a public health protective measure against COVID-19. Currently there are no observational data concerning the wearing of facemasks and the adherence to guidelines concerning their handling. METHODS: Registration of the way passers-by were wearing facemasks at 26 different locations of five major cities in Greece. The results were correlated with the rate of COVID-19 deaths in the region. RESULTS: In total, 119,433 passers-by were registered, 57,043 females (47.8%) and 62,390 males (52.2%). From the total sample, 81.1% were wearing the mask properly, 10.8% had their nose out, 6.2% were wearing it under the jaw, and 1.9% had no mask at all . There was a significant difference between males and females concerning any use of mask. Inappropriate use of was correlated with COVID-19 death rate in the studied region. CONCLUSION: Our findings suggest that under conditions of mandatory wearing and in central locations of major cities, during walking, proper use of masks is suboptimal, but still contributes with some protection. Fear and risk perception seem to be strong factors contributing to adherence to proper mask wearing.

Mental health and conspirasism in health care professionals during the spring 2020 COVID-19 lockdown in Greece.

INTRODUCTION: The aim of the study was to investigate mental health and conspiracy theory beliefs concerning COVID-19 among health care professionals (HCPs). MATERIAL AND METHODS: During lockdown, an online questionnaire gathered data from 507 HCPs (432 females aged 33.86 ± 8.63 and 75 males aged 39.09 ± 9.54). STATISTICAL ANALYSIS: A post-stratification method to transform the study sample was used; descriptive statistics were calculated. RESULTS: Anxiety and probable depression were increased 1.5-2-fold and were higher in females and nurses. Previous history of depression was the main risk factor. The rates of believing in conspiracy theories concerning the COVID-19 were alarming with the majority of individuals (especially females) following some theory to at least some extend. CONCLUSIONS: The current paper reports high rates of depression, distress and suicidal thoughts in the HCPs during the lockdown, with a high prevalence of beliefs in conspiracy theories. Female gender and previous history of depression acted as risk factors, while the belief in conspiracy theories might act as a protective factor. The results should be considered with caution due to the nature of the data (online survey on a self-selected but stratified sample).

Sex differences in maturation and aging of human personality on the basis of a recently developed complex hierarchical model of temperament and character.

OBJECTIVE: The current study aimed to determine the changes in psychological function that come with age. The basis to assess psychological function was a hierarchical model of temperament, personality and character, previously developed by the authors. METHODS: 734 general population subjects completed the TEMPS-A, the TCI and the NEO-PI-3. Data were analysed with ANCOVA models. RESULTS: The top superfactors showed no age change, however, age-related changes were identified in the higher and lower modules. There was a pattern of differences between the two genders in all levels of the model. CONCLUSIONS: While there is stability with the two top factors of personality, there are age-related changes in lower-level modules probably indicating maturation, adaptation or changes in orientation through the adult life span. Gender differences in all levels including the two top superfactors, higher and lower modules reflect and explain differences in multiple aspects of internal experience, interaction and behaviour in the two genders. The results are clinically essential for incorporating age and gender-related differences of experience and behaviour in understanding temperamental implications in affective disorders also impacting their clinical course and management.Key PointsBased on the complex hierarchical temperament model four stages of maturation of human psychological function can be postulated.There is a very specific trait core of human mental function, which differs between genders and seems to be responsible for the longitudinal stability of the person's internal experience with the passing of the years.The findings are clinically essential for incorporating age and gender-related differences of experience and behaviour in understanding temperamental implications in affective disorders also impacting their clinical course and management.

What you see is what you get? Association of belief in conspiracy theories and mental health during COVID-19.

Background: The COVID-19 pandemic brought about great uncertainty and significant changes in our people's everyday lives. In times of such crises, it is natural to seek explanations to overcome our fears and uncertainties, contributing to an increase to believe in conspiracy theories which, by yielding explanations, decrease uncertainty and ambiguity and may thus have an effect on mental well-being. In spite of this, the majority of research on conspiracy theories focused on their social effects with little attention to psychological effects. Thus, the aim of our present study was to examine the association between belief in conspiracy theories and different aspects of mental health during the COVID-19 pandemic in a general population sample. Methods: Our analyses included data from the Hungarian leg of the COMET-G (COVID-19 MEntal health international for the General population) study. The Hungarian sample included participants who completed a detailed questionnaire assessing belief in seven conspiracy theory items, as well as STAI-S and CES-D to measure state anxiety and depression, respectively, and answered questions related to their change in depression, anxiety and suicidal thoughts during the pandemic. Association between the individual beliefs as well as a composite Conspiracy Theory Belief Score (CTBS) and mental health measures was analysed using linear regression models. Results: Overall, belief in conspiracy theories was relatively moderate in our sample. Sex and age appeared to have a significant effect on the Overall Conspiracy Theory Belief Score (CTBS), with women having a higher score and scores increasing with age. Some of the individual beliefs also showed associations with age and sex. State anxiety and depression was not significantly associated with CTBS, however in case of depression some individual items were, and symptom clusters within CES-D also showed a pattern of association with some of the individual items. As far as changes in mental health during the pandemic is concerned, no association between overall beliefs and changes in anxiety or depression was found. However, higher overall belief in conspiracy theories was associated with a decrease in suicidal thoughts. Discussion: In our study, we explored the association between conspiracy theories and mental well-being as well as its changes during the COVID-19 pandemic. We found a specific pattern of association between belief in distinct theories and some aspects of depression, as well as lower increase in suicidal ideation in association with increased belief in conspiracy theories. Understanding the role of belief in theories can be key to designing mental health interventions when reacting to unforeseen events in the future. (Neuropsychopharmacol Hung 2022; 24(1): 42-55).

Association between change in suicidal ideation, and distinct symptoms of depression and sleep changes during COVID-19.

COVID-19 has created a situation that has never been experienced before, challenging the mobilization of adaptive coping strategies. There has been a marked increase in suicides and suicidal ideation following the onset of COVID-19 likely reflecting the toll of the pandemic on mental health. The aim of our study to investigate the associations between depressive symptoms and distinct symptom clusters and lifestyle changes related to sleep, eating and physical activity and change in suicidal thoughts and thinking about death during the pandemic. Analyses involved data from the Hungarian part of the COMET-G (COVID-19 Mental health in Ternational for the General population) study, including 763 Hungarian adults, who completed a detailed questionnaire focusing on changes in behavior, lifestyle, activity and mental health during the pandemic. The dataset was analyzed using ordinal regression models adjusted for age and sex. Depression, as well as its symptom clusters, including anhedonia and depressed mood and somatic complaints had a significant, but small effect increasing suicidal ideation, while the effect of irritability and social relationship problems was more marked. In case of lifestyle factors no associations was found between change in eating habits or physical activity and change in suicidal ideations, however, sleeprelated changes were associated with a significant increase in suicidal thoughts during the pandemic. Our findings show that not all symptoms related to mood disturbance have an equally marked effect on suicidal ideating and thus suicide risk, emphasizing the role of detailed screening and evaluation even in subclinical populations in times of such crises, and also highlight the importance of considering sleep problems when evaluating suicide risk. Thus, our findings help identify relevant targets for screening and intervention in decreasing suicide risk during crises. (Neuropsychopharmacol Hung 2022; 24(3): 134-143).

Association between Lifestyle- and Circadian Rhythm-Related Changes, and Different Depression Symptom Clusters during COVID-19.

BACKGROUND: The COVID-19 pandemic brought along a new situation for the population worldwide. The most important safety measures and lockdown expected extreme adaptability and flexibility impacting mental well-being. The aim of our study was to identify associations between changes in lifestyle and circadian rhythm and depression during the pandemic. SUBJECTS AND METHODS: Our analysis has been carried out on the Hungarian data set of the COMET-G study including information on lifestyle and circadian rhythm-associated factors and severity of depression and its 3 symptom clusters. Associations were assessed using linear regression models adjusted for age and sex. RESULTS: All variables reflecting changes in quality and quantity of sleep showed significant associations with overall depression scores and the three distinct symptom cluster scores. All variables reflecting importance and changes in physical activity during the pandemic were similarly significantly associated with all depression measures. However, only changes in quality of diet, but not quantity was associated with depression scores. CONCLUSIONS: Our results may confirm the association of circadian rhythm and lifestyle-related environmental factors in deterioration of mental health during COVID and help devise prevention and intervention methods and targets for similar situations.

Anxiety, Depression and Suicidality in Healthcare Workers during the COVID-19 Pandemic: The Russian Study Sample of the COMET-G Project.

BACKGROUND: During the COVID-19 pandemic healthcare workers have been under pressure of high workload and an increased risk of contracting the SARS-Cov-2 virus, while confronting the most tragic and devastating aspects of the pandemic-related medical realities. These factors could lead to severe distress with potential consequences for productivity in performing professional duties, and substantially increased risk for affective reactions, including clinical states of anxiety, depression and suicidality as compared to the general population. Thus, we aimed to investigate the changes in rates of anxiety, depression and suicidality in response to the pandemic among medical staff as compared to a sample of the general population and to the period of prepandemic time. SUBJECTS AND METHODS: This study is part of the large-scale, international multicentre COMET-G project. We assessed the extents of anxiety, depression and suicidality risks using the Stait-Trait Anxiety Inventory (STAI) with a cut-off score 39/40, Center for Epidemiologic Studies Depression Scale (CES-D) with a cut-off score 23/24, and the Risk Assessment Suicidality Scale (RASS) with a cut-off score 499/500, respectively, in samples of Russian healthcare workers and the general population. RESULTS: Among 7777 respondents participating in the study, responses to a query about occupation indicated 1216 healthcare workers. 45.8% of medical staff vs 40.4% of non-medical staff (χ2=12.42, p<0.001) reported the increased anxiety, in excess of the clinical anxiety state threshold score of 39 according to the STAI. High suicidality risks, according to a RASS score > 500, were reported by 8.2% of medical professionals vs 10.6% of non-medical personnel (χ2=6.35, p=0.012). The increase in depression rates, including cases of clinical depression according to the threshold of CES-D ≥ 24, did not differ between the groups. CONCLUSIONS: A larger proportion of healthcare system staff, as compared to the general population, reported a significant increase in anxiety in response to the pandemic. Compared to medical doctors, other healthcare system workers had a significantly higher prevalence of depression and suicidality rates. Exploratory analysis suggested that it was not the occupation per se, but rather the burden of meaningful working duties that could be associated with psychological defense mechanisms against depression and suicidality among medical staff.

Precision and personalized assessment, diagnosis and treatment in psychiatry.

"Precision medicine" and "personalized medicine" constitute goals of research since antiquity and this was intensified with the arrival of the "evidence-based medicine." precision and personalized psychiatry (3P) when achieved will constitute a radical shift in our paradigm and it will be even more transformative than in other fields of medicine. The biggest problems so far are the problematic definition of mental disorder, available treatments seem to concern broad categories rather than specific disorders and finally clinical predictors of treatment response or side effects and biological markers do not exist. Precision and personalized psychiatry like all precision medicine will be a laborious and costly task; thus the partnership of scientists with industry and the commercialization of new methods and technologies will be an important element for success. The development of an appropriate legal framework which will both support development and progress but also will protect the rights and the privacy of patients and their families is essential.

Modeling psychological function in patients with schizophrenia with the PANSS: an international multi-center study.

BACKGROUND: The aim of the current study was to explore the changing interrelationships among clinical variables through the stages of schizophrenia in order to assemble a comprehensive and meaningful disease model. METHODS: Twenty-nine centers from 25 countries participated and included 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Multiple linear regression analysis and visual inspection of plots were performed. RESULTS: The results suggest that with progression stages, there are changing correlations among Positive and Negative Syndrome Scale factors at each stage and each factor correlates with all the others in that particular stage, in which this factor is dominant. This internal structure further supports the validity of an already proposed four stages model, with positive symptoms dominating the first stage, excitement/hostility the second, depression the third, and neurocognitive decline the last stage. CONCLUSIONS: The current study investigated the mental organization and functioning in patients with schizophrenia in relation to different stages of illness progression. It revealed two distinct "cores" of schizophrenia, the "Positive" and the "Negative," while neurocognitive decline escalates during the later stages. Future research should focus on the therapeutic implications of such a model. Stopping the progress of the illness could demand to stop the succession of stages. This could be achieved not only by both halting the triggering effect of positive and negative symptoms, but also by stopping the sensitization effect on the neural pathways responsible for the development of hostility, excitement, anxiety, and depression as well as the deleterious effect on neural networks responsible for neurocognition.

Factors related to depression, distress, and self-reported changes in anxiety, depression, and suicidal thoughts during the COVID-19 state of emergency in Latvia.

PURPOSE: Evidence suggests that the 2020 COVID-19 pandemic might have deleterious effects on the population's mental health and psychiatric outcomes. We examined the prevalence of depression, distress, and suicidal thoughts and their association with social and economic factors during the state of emergency in a nationwide representative sample of the general population in Latvia. MATERIALS AND METHOD: An online survey was conducted using a randomized stratified sample of the general adult population in July 2020 for 3 weeks. Distress, depression, suicidal thoughts, and self-reported changes in mental health were identified using a structured questionnaire. The statistical analysis included chi-square tests, analyses of variance, and multivariate forward-stepwise linear regressions. RESULTS: The study sample included 2608 respondents. Clinical depression was present in 5.75% and distress in 7.82%. Suicidal thoughts increased in 13.30% of those with a history of clinical depression, and 27.05% of those with a history of suicidal attempts. The variables that were associated with increases in self-reported anxiety, depressive thoughts, suicidal ideation, and being currently depressed/distressed included lower general health, increased fears of contracting COVID-19 or having family members contract it and die, history of suicidality, increased family conflicts, decreased religiosity, caring for a vulnerable person. Protective factors included positive changes in family relationships and economic situation, maintaining one's basic routine, and having more people living in the household. CONCLUSIONS: Further research and interventions should focus specifically on these factors. The study's findings can help to develop future strategies for management of psychological support for different groups in general population.

Interactions between Anxiety Levels and Life Habits Changes in General Population during the Pandemic Lockdown: Decreased Physical Activity, Falling Asleep Late and Internet Browsing about COVID-19 Are Risk Factors for Anxiety, whereas Social Media Use Is not.

BACKGROUND: The COVID-19 pandemic has substantially contributed to increased anxiety rates among the general population worldwide. Pandemic-related health anxiety and worries about getting COVID-19 can lead to generalized anxiety and anxiety somatization, which, together with insalubrious daily life habits, are risk factors of worsening somatic health in people with SARS-Cov-2 infection. SUBJECTS AND METHODS: The current study is a part of the COMET-G project (40 countries, n=55589; approved by the Ethics Committee of the Aristotle University of Thessaloniki), which represents an intermediate analysis of data collected anonymously via online links from a national sample of the Russian general population (n=9936, 31.09±12.16 y.o., 58.7% females) to estimate anxiety using STAI-S and self-reported changes in anxiety and life habits (physical activity, nutrition and weight, internet use, sleep) during the lockdown. All statistical calculations (descriptive statistics, between group comparisons using chi-square test, MANOVA, ANOVA, significant at p<0.05) were performed with IBM SPSS 27. RESULTS: Overall STAI-S scores were 29±5.4, a subjective feeling of anxiety increase was reported in 40.3% of respondents (43.9% significantly > in females), worsening to clinical anxiety in 2.1% (2.4% > in females). 54.2% of respondents reported decreased physical activity, 33.1% gained weight, 72% used internet more often, 52.6% experienced worries related to the information about COVID-19 (56.8% > in females). 88% experienced worsened sleep quality, 69.2% stayed up until late, 23.2% took sleeping pills, and 31% had nightmares in which they felt trapped. To ANOVA, such life habits as reduced physical activity during the lockdown, increased time spent online, internet browsing about COVID-19, tendency to stay up late, use of sleeping pills and disturbing dreams with scenario of being trapped were significantly related to worsening of clinical anxiety. However, eating behaviour, weight changes, and social media use did not contribute to the clinical anxiety increase. CONCLUSIONS: Factors of decreased physical activity and sleep disturbances related to the lockdown, as well as excessive internet browsing for information about COVID-19, emerged as risk factors for increased anxiety, more notably in women than in men. Preventive measures should be targeted against relevant factors imparting anxiety in the vulnerable population.

The CINP Guidelines on the Definition and Evidence-Based Interventions for Treatment-Resistant Bipolar Disorder.

BACKGROUND: Resistant bipolar disorder is a major mental health problem related to significant disability and overall cost. The aim of the current study was to perform a systematic review of the literature concerning (1) the definition of treatment resistance in bipolar disorder, (2) its clinical and (3) neurobiological correlates, and (4) the evidence-based treatment options for treatment-resistant bipolar disorder and for eventually developing guidelines for the treatment of this condition. MATERIALS AND METHODS: The PRISMA method was used to identify all published papers relevant to the definition of treatment resistance in bipolar disorder and the associated evidence-based treatment options. The MEDLINE was searched to April 22, 2018. RESULTS: Criteria were developed for the identification of resistance in bipolar disorder concerning all phases. The search of the literature identified all published studies concerning treatment options. The data were classified according to strength, and separate guidelines regarding resistant acute mania, acute bipolar depression, and the maintenance phase were developed. DISCUSSION: The definition of resistance in bipolar disorder is by itself difficult due to the complexity of the clinical picture, course, and treatment options. The current guidelines are the first, to our knowledge, developed specifically for the treatment of resistant bipolar disorder patients, and they also include an operationalized definition of treatment resistance. They were based on a thorough and deep search of the literature and utilize as much as possible an evidence-based approach.

Adjunctive treatment with psychostimulants and stimulant-like drugs for resistant bipolar depression: a systematic review and meta-analysis.

BACKGROUND: Depression is considered to be the most difficult to treat phase of bipolar disorder as patients experience residual symptoms causing long-term disability. This work aims to explore the role of add-on stimulant and stimulant-like medication in resistant bipolar depression patients. METHODS: Systematic review of add-on stimulants and stimulant-like drugs in resistant bipolar depression by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Analysis was performed using the random-effects models. Heterogeneity was evaluated with Cochran's Q and I2 statistics. RESULTS: Six randomized controlled trials of add-on modafinil, armodafinil, and lisdexamphetamine (LDX) (n = 813) vs placebo (n = 815) in the treatment of resistant bipolar depression were included. These drugs were more likely to induce remission from an episode of resistant bipolar depression (relative risk [RR] = 1.37; 95% confidence interval [CI]: 1.06-1.77; number needed to treat for an additional beneficial outcome = 16). Moreover, they did not induce more dropouts than placebo (RR = 1.04; 95% CI: 0.91-1.18), nor did they increase the risk of adverse effects (53/772 vs 41/771) at the end of treatment (RR = 1.30; 95% CI: 0.81-2.10; number needed to treat for an additional harmful outcome = 62). Suicidality and manic switch were not affected by active treatment. Heterogeneity was low (Cochran's Q: P > .05), but sometimes with a large CI. CONCLUSIONS: LDX, modafinil, and armodafinil seem to offer a reasonably well-tolerated and safe treatment in resistant bipolar depression. Treatment guidelines should, therefore, be revised to include these medications earlier in the therapeutic algorithm for resistant acute bipolar depression. Further research is, however, necessary for the elucidation of the clinical usefulness of these and other similar compounds.