The interplay between mentalization, personality traits and burnout in psychiatry training: Results from a large multicenter controlled study.

BACKGROUND: A better characterization of educational processes during psychiatry training is needed, both to foster personal resilience and occupational proficiency. METHODS: An adequate coverage of medical residents at the national level was reached (41.86% of the total reference population, 29 out of 36 training centers-80.55%). Controls were recruited among residents in other medical specialties. All participants were assessed by questionnaires to evaluate early life experiences, attachment style, personality traits, coping strategies, emotional competencies. A Structural Equation Model (SEM) framework was employed to investigate the interplay between individual factors. RESULTS: A total sample of 936 people was recruited (87.9% response-rate; 645 residents in psychiatry, 291 other medical residents). Psychiatry trainees reported a higher prevalence of adverse childhood experiences (emotional abuse, emotional neglect, physical neglect), greater attachment insecurity (anxious or avoidant) in comparison to other medical trainees. Psychiatry residents also reported higher social support-seeking as a coping strategy, lower problem-orientation, and lower transcendence. Lower neuroticism, higher openness to experience, and higher emotional awareness were also observed in psychiatry trainees. Psychiatry training was associated with a redefinition of conflict management skills as a function of seniority. The SEM model provided support for an interplay between early traumatic experiences, mentalization skills (coping strategies, emotion regulation), interpersonal competencies and occupational distress. CONCLUSIONS: The findings of the present study supported a theoretical model based on mentalization theory for the interactions between personal and relational competencies in psychiatry training, thus providing potential target of remodulation and redefinition of this specific process of education.

Anxious distress in people with major depressive episodes: a cross-sectional analysis of clinical correlates.

OBJECTIVE: Most people with major depressive episodes meet the criteria for the anxious distress (AD) specifier defined by DSM-5 as the presence of symptoms such as feelings of tension, restlessness, difficulty concentrating, and fear that something awful may happen. This cross-sectional study was aimed at identifying clinical correlates of AD in people with unipolar or bipolar depression. METHODS: Inpatients with a current major depressive episode were included. Data on socio-demographic and clinical variables were collected. The SCID-5 was used to diagnose depressive episodes and relevant specifiers. The Montgomery-Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were used to assess the severity of depressive and manic (mixed) symptoms, respectively. Multiple logistic regression analyses were carried out to identify clinical correlates of AD. RESULTS: We included 206 people (mean age: 48.4 ± 18.6 yrs.; males: 38.8%) admitted for a major depressive episode (155 with major depressive disorder and 51 with bipolar disorder). Around two-thirds of the sample (N = 137; 66.5%) had AD. Multiple logistic regression models showed that AD was associated with mixed features, higher YMRS scores, psychotic features, and a diagnosis of major depressive disorder (p < 0.05). CONCLUSION: Despite some limitations, including the cross-sectional design and the inpatient setting, our study shows that AD is likely to be associated with mixed and psychotic features, as well as with unipolar depression. The identification of these clinical domains may help clinicians to better contextualize AD in the context of major depressive episodes.

Understanding University Students' Perspectives towards Digital Tools for Mental Health Support: A Cross-country Study.

Background: Organisational and individual barriers often prevent university students from seeking mental health support. Digital technologies are recognised as effective in managing psychological distress and as a source of health-related information, thus representing useful options to address mental health needs in terms of accessibility and cost-effectiveness. However, university students' experiences and perspectives towards such interventions are little known. Objectives: We thus aimed to expand the existing base of scientific knowledge, focusing on this special population. Methods: Data were from the qualitative component of "the CAMPUS study", longitudinally assessing the mental health of students at the University of Milano-Bicocca (Italy) and the University of Surrey (UK). We conducted in-depth interviews and thematically analysed the transcripts using the framework approach. Results: An explanatory model was derived from five themes identified across 33 interviews (15 for Italy, 18 for the UK). Students perceived that social media, apps, and podcasts could deliver relevant mental health content, ranging from primary to tertiary prevention. Wide availability and anonymity were perceived as advantages that make tools suitable for preventive interventions, to reduce mental health stigma, and as an extension of standard treatment. These goals can be hindered by disadvantages, namely lower efficacy compared to face-to-face contact, lack of personalisation, and problematic engagement. Individual and cultural specificities might influence awareness and perspectives on the use of digital technologies for mental health support. Conclusion: Although considering some specific features, digital tools could be a useful instrument to support the mental health needs of students. Since personal contact remains crucial, digital tools should be integrated with face-to-face interventions through a multi-modal approach.

Appetite-regulating hormones in bipolar disorder: A systematic review and meta-analysis.

Impaired hormonal regulation of appetite may contribute to higher cardiovascular risk in bipolar disorder (BD). We performed a systematic review and meta-analysis of studies investigating peripheral blood levels of appetite-regulating hormones in BD and controls. A total of 32 studies were included. Leptin and insulin levels were significantly elevated in patients with BD during euthymia, but not in other mood states. Greater differences in the number of male participants between patients with BD and healthy controls were associated with higher effect size estimates for the levels of insulin. There were significant positive correlations of effect size estimates for the levels of adiponectin with the percentage of individuals with type I BD and duration of BD. Our findings point to the mechanisms underlying high rates of cardiometabolic comorbidities in BD. Moreover, they suggest that investigating hormonal regulation of appetite might help to understand differences in the neurobiology of BD types.

Longitudinal symptomatic interactions in long-standing schizophrenia: a novel five-point analysis based on directed acyclic graphs.

BACKGROUND: Recent network models propose that mutual interaction between symptoms has an important bearing on the onset of schizophrenic disorder. In particular, cross-sectional studies suggest that affective symptoms may influence the emergence of psychotic symptoms. However, longitudinal analysis offers a more compelling test for causation: the European Schizophrenia Cohort (EuroSC) provides data suitable for this purpose. We predicted that the persistence of psychotic symptoms would be driven by the continuing presence of affective disturbance. METHODS: EuroSC included 1208 patients randomly sampled from outpatient services in France, Germany and the UK. Initial measures of psychotic and affective symptoms were repeated four times at 6-month intervals, thereby furnishing five time-points. To examine interactions between symptoms both within and between time-slices, we adopted a novel technique for modelling longitudinal data in psychiatry. This was a form of Bayesian network analysis that involved learning dynamic directed acyclic graphs (DAGs). RESULTS: Our DAG analysis suggests that the main drivers of symptoms in this long-term sample were delusions and paranoid thinking. These led to affective disturbance, not vice versa as we initially predicted. The enduring relationship between symptoms was unaffected by whether patients were receiving first- or second-generation antipsychotic medication. CONCLUSIONS: In this cohort of people with chronic schizophrenia treated with medication, symptoms were essentially stable over long periods. However, affective symptoms appeared driven by the persistence of delusions and persecutory thinking, a finding not previously reported. Although our findings as ever remain hostage to unmeasured confounders, these enduring psychotic symptoms might nevertheless be appropriate candidates for directly targeted psychological interventions.

Characterizing the clinical profile of mania without major depressive episodes: a systematic review and meta-analysis of factors associated with unipolar mania.

BACKGROUND: The diagnostic concept of unipolar mania (UM), i.e. the lifetime occurrence of mania without major depressive episodes, remains a topic of debate despite the evidence accumulated in the last few years. We carried out a systematic review and meta-analysis of observational studies testing factors associated with UM as compared to bipolar disorder with a manic-depressive course (md-BD). METHODS: Studies indexed up to July 2022 in main electronic databases were searched. Random-effects meta-analyses of the association between UM and relevant correlates yielded odds ratio (OR) or standardized mean difference (SMD), with 95% confidence intervals (CIs). RESULTS: Based on data from 21 studies, factors positively or negatively associated with UM, as compared to md-BD, were: male gender (OR 1.47; 95% CI 1.11-1.94); age at onset (SMD -0.25; 95% CI -0.46 to -0.04); number of hospitalizations (SMD 0.53; 95% CI 0.21-0.84); family history of depression (OR 0.55; 95% CI 0.36-0.85); suicide attempts (OR 0.25; 95% CI 0.19-0.34); comorbid anxiety disorders (OR 0.35; 95% CI 0.26-0.49); psychotic features (OR 2.16; 95% CI 1.55-3.00); hyperthymic temperament (OR 1.99; 95% CI 1.17-3.40). The quality of evidence for the association with previous suicide attempts was high, moderate for anxiety disorders and psychotic features, and low or very low for other correlates. CONCLUSIONS: Despite the heterogeneous quality of evidence, this work supports the hypothesis that UM might represent a distinctive diagnostic construct, with peculiar clinical correlates. Additional research is needed to better differentiate UM in the context of affective disorders, favouring personalized care approaches.

Effect of long-acting injectable antipsychotics on 1-year hospitalization in bipolar disorder: a mirror-image study.

Long-acting injectable (LAI) antipsychotics are often used for the long-term management also of bipolar disorder (BD). Nonetheless, evidence on their effect on pragmatic outcomes such as hospitalization risk in BD is inconsistent. We carried out a mirror-image study comparing rates and number of days of hospitalization, one year before and after the initiation of LAI treatment, in a sample of subjects with BD. Participants were selected from the STAR Network Depot Study, a pragmatic, observational, multicenter research involving a cohort of inpatients and outpatients consecutively started on LAI treatment. Variations in rates and in total number of days of hospitalization between the 12 months before and those after treatment initiation were analyzed. Among 461 individuals screened for eligibility, we included 71 adults with BD, initiated either on first- (FGA) or second-generation (SGA) LAIs. We found a significant decrease in terms of 12-month hospitalization rates (p < 0.001) and number of days (p < 0.001) after LAI initiation, without any effect by age, gender, alcohol/substance use disorders, and symptom severity. Subgroup analyses based on antipsychotic class, history of LAI treatment, and concomitant oral medications, confirmed the decreasing trend on both hospitalization rates and number of days. However, these reductions were not significant among participants who continued this treatment for less than 6 months. Comprehensively, this study supports the role of LAIs as effective maintenance treatment options for BD. Further research is needed to identify clinical characteristics of people with BD who would most benefit from long-acting formulations of antipsychotics.

Clinical correlates of comorbid attention deficit hyperactivity disorder in adults suffering from bipolar disorder: A meta-analysis.

OBJECTIVE: Attention deficit hyperactivity disorder is a frequent comorbid condition in adults with bipolar disorder. We performed a meta-analysis aimed at assessing sociodemographic and clinical correlates of attention deficit hyperactivity disorder in bipolar disorder. METHOD: We searched main electronic databases up to June 2021. Random-effects meta-analyses, with relevant meta-regression and quality-based sensitivity analyses, were carried out to estimate the association between attention deficit hyperactivity disorder and putative correlates, grading the quality of evidence. RESULTS: We included 43 studies, based on 38 independent samples. Attention deficit hyperactivity disorder participants were more likely to be males (odds ratio = 1.46; p < 0.001) and unemployed (odds ratio = 1.45; p = 0.045), and less likely to be married (odds ratio = 0.62; p = 0.014). They had an earlier onset of bipolar disorder (standardized mean difference = -0.36; p < 0.001); more mood episodes (standardized mean difference = 0.35; p = 0.007), particularly depressive (standardized mean difference = 0.30; p = 0.011) and mixed (standardized mean difference = 0.30; p = 0.031) ones; higher odds of using antidepressants (odds ratio = 1.80; p = 0.024) and attempted suicides (odds ratio = 1.83; p < 0.001) and lower odds of psychotic features (odds ratio = 0.63; p = 0.010). Moreover, they were more likely to have generalized anxiety disorder (odds ratio = 1.50; p = 0.019), panic disorder (odds ratio = 1.89; p < 0.001), social phobia (odds ratio = 1.61; p = 0.017), eating disorders (odds ratio = 1.91; p = 0.007), antisocial personality disorder (odds ratio = 3.59; p = 0.004) and substance (odds ratio = 2.29; p < 0.001) or alcohol (odds ratio = 2.28; p < 0.001) use disorders. Quality of the evidence was generally low or very low for the majority of correlates, except for bipolar disorder onset and alcohol/substance use disorders (high), and suicide attempts (moderate). CONCLUSION: Comorbid bipolar disorder/attention deficit hyperactivity disorder may have some distinctive clinical features including an earlier onset of bipolar disorder and higher comorbid alcohol/substance use disorder rates. Further research is needed to identify additional clinical characteristics of this comorbidity.

The kynurenine pathway in bipolar disorder: a meta-analysis on the peripheral blood levels of tryptophan and related metabolites.

Growing evidence suggests that a dysregulation of the kynurenine pathway (KP) occurs in bipolar disorder (BD). This systematic review and meta-analysis aimed at assessing the possible differences in peripheral blood levels of KP metabolites between individuals with BD and healthy controls. We searched Medline, Embase, and PsycInfo electronic databases for articles indexed up to February 2020. We included any observational study comparing the peripheral blood levels of at least one KP metabolite between adults with BD and healthy controls. Random-effects meta-analyses were carried out generating pooled standardized mean differences (SMDs). Heterogeneity between studies was estimated using the I2 index. Meta-regression and sensitivity analyses were conducted. Sixteen studies met inclusion criteria and were included in our study. Meta-analyses showed that individuals with BD have lower peripheral blood levels of tryptophan (SMD = -0.29), kynurenine (SMD = -0.28), kynurenic acid (SMD = -0.30), and xanthurenic acid (SMD = -0.55), along with lower kynurenic acid to kynurenine (SMD = -0.60) and kynurenic acid to quinolinic acid (SMD = -0.37) ratios, than healthy controls. Individuals with a manic episode showed the greatest reductions in tryptophan levels (SMD = -0.51), whereas kynurenic acid levels were more reduced among subjects in a depressive phase (SMD = -0.70). Meta-regression and sensitivity analyses confirmed our results. The findings of the present meta-analysis support the hypothesis of an abnormality of the KP in BD. Considering the partial inconsistency of the findings and the small-to-medium magnitude of the estimated effect sizes, additional research assessing possible mediators or confounders is needed.

Medium and long-term efficacy of psychoeducational family intervention for bipolar I disorder: Results from a real-world, multicentric study.

OBJECTIVES: This study aims to explore the long-term efficacy of a psychoeducational family intervention (PFI) in bipolar I disorder at one and five years post-intervention in terms of improvement of: (1) patients' symptoms and global functioning and (2) relatives' objective and subjective burden and coping strategies. METHODS: This is a multicentre, real-world, controlled, outpatient trial. Recruited patients and key-relatives were consecutively allocated to the experimental intervention or treatment as usual. Patients were assessed at baseline, and after one and five years. RESULTS: One hundred and thirty-seventh number families have been recruited; 70 have been allocated to the experimental intervention, and 67 have been allocated to the control group. We observed an increasing positive effect of the PFI on patients' clinical status, global functioning and objective and subjective burden after one year. We also found a reduction in the levels of relatives' objective and subjective burden and a significant improvement in the levels of perceived professional support and of coping strategies. The efficacy of PFI on patients' clinical status was maintained at five years from the end of the intervention, in terms of relapses, hospitalizations and suicide attempts. CONCLUSIONS: The study showed that the provision of PFI in real-world settings is associated with a significant improvement of patients' and relatives' mental health and psychosocial functioning in the long term. We found that the clinical efficacy of the intervention, in terms of reduction of patients' relapses, hospitalization and suicide attempts, persists after 5 years. It is advisable that PFI is provided to patients with BD I in routine practice.

Off-label long acting injectable antipsychotics in real-world clinical practice: a cross-sectional analysis of prescriptive patterns from the STAR Network DEPOT study.

INTRODUCTION: Information on the off-label use of Long-Acting Injectable (LAI) antipsychotics in the real world is lacking. In this study, we aimed to identify the sociodemographic and clinical features of patients treated with on- vs off-label LAIs and predictors of off-label First- or Second-Generation Antipsychotic (FGA vs. SGA) LAI choice in everyday clinical practice. METHOD: In a naturalistic national cohort of 449 patients who initiated LAI treatment in the STAR Network Depot Study, two groups were identified based on off- or on-label prescriptions. A multivariate logistic regression analysis was used to test several clinically relevant variables and identify those associated with the choice of FGA vs SGA prescription in the off-label group. RESULTS: SGA LAIs were more commonly prescribed in everyday practice, without significant differences in their on- and off-label use. Approximately 1 in 4 patients received an off-label prescription. In the off-label group, the most frequent diagnoses were bipolar disorder (67.5%) or any personality disorder (23.7%). FGA vs SGA LAI choice was significantly associated with BPRS thought disorder (OR = 1.22, CI95% 1.04 to 1.43, p = 0.015) and hostility/suspiciousness (OR = 0.83, CI95% 0.71 to 0.97, p = 0.017) dimensions. The likelihood of receiving an SGA LAI grew steadily with the increase of the BPRS thought disturbance score. Conversely, a preference towards prescribing an FGA was observed with higher scores at the BPRS hostility/suspiciousness subscale. CONCLUSION: Our study is the first to identify predictors of FGA vs SGA choice in patients treated with off-label LAI antipsychotics. Demographic characteristics, i.e. age, sex, and substance/alcohol use co-morbidities did not appear to influence the choice towards FGAs or SGAs. Despite a lack of evidence, clinicians tend to favour FGA over SGA LAIs in bipolar or personality disorder patients with relevant hostility. Further research is needed to evaluate treatment adherence and clinical effectiveness of these prescriptive patterns.

Factors Associated with Medication Adherence to Long-Acting Injectable Antipsychotics: Results from the STAR Network Depot Study.

INTRODUCTION: Long-acting injectable (LAI) antipsychotics are prescribed to people with severe psychiatric disorders who show poor adherence to oral medication. The present paper examined factors potentially associated with medication adherence to LAI treatment. METHODS: The STAR (Servizi Territoriali Associati per la Ricerca) Network Depot Study was a multicenter, observational, prospective study that enrolled 461 subjects initiating a LAI from 32 Italian centers. After 6 and 12 months of treatment, we evaluated differences between participants with high (≥5 points) and low (<5 points) medication adherence using Kemp's 7-point scale in sociodemographic, clinical, psychopathological, and drug-related variables. Factors that differed significantly between the two groups were entered for multivariate logistic regression. RESULTS: Six months after enrollment, participants with high medication adherence were younger, living with other people, had lower Brief Psychiatric Rating Scale (BPRS) total scores, lower adverse events, and a more positive attitude toward medication than participants with low adherence. Multivariate regression confirmed lower BPRS resistance and activation scores, absence of adverse events, and positive attitude toward medication as factors significantly associated with good adherence. After 12 months, all BPRS subscales were significantly lower in the high adherence group, which also showed a more positive attitude toward medication. BPRS resistance and attitude toward medication were confirmed as factors associated with medication adherence. DISCUSSION: Our findings suggest that adherence to LAI is principally related to attitude toward medication and traits of suspiciousness/hostility. Quality of patient-clinician relationship and tailored psychoeducational strategies may positively affect adherence in people undergoing psychopharmacological treatment, including LAI.

Insomnia and related factors in patients with pre-existing psychiatric disorders compared to the general population during the COVID-19 lockdown: Findings from the multicentric COMET study.

BACKGROUND: The COVID-19 pandemic has heavily impacted social, economic and health systems worldwide. Necessary confinement measures have, in turn, contributed to the occurrence of several stress-related conditions and deterioration of pre-existing mental conditions, including insomnia. OBJECTIVE: The present study sought to investigate the occurrence and severity of insomnia during the COVID-19 lockdown among psychiatric patients and in the general population in the largest Italian sample examined to date. Potential factors associated with a risk of developing insomnia in the global sample were examined as well. METHODS: A sample of 20,720 people (5.5% of them being psychiatric patients) was assessed through an online survey conducted during lockdown between March and May 2020. To investigate the occurrence and severity of sleep related issues, the Insomnia Severity Index (ISI) was used. In order to evaluate factors associated with the severity of insomnia in the global sample, multivariate linear regression models were performed. RESULTS: During the lockdown, patients with pre-existing mental disorders reported a mean higher score on the ISI scale (p < 0.001) compared to the general population. According to the multivariate regression models, the first three weeks of lockdown were significantly associated with a higher risk of insomnia, but the risk disappeared in the fourth week. Other associated factors included: the presence of a pre-existing mental disorder, ages 24 to 64 years old, and/or being female (p < 0.001). CONCLUSIONS: Although containment measures represent essential public health strategies to avoid the spread of the COVID-19 pandemic, sleep was one of the aspects affected during the early stages of the lockdown in both people with pre-existing mental disorders and general population. As an integral part of COVID-19 intervention, it is useful to raise awareness about these issues and to adopt both preventive and therapeutic interventions.

Innovations in community-based mental health care: an overview of meta-analyses.

In the last four decades, mental health services for people with Severe Mental Illness (SMI) have seen asylums replaced by a balanced model of Community Mental Healthcare (CMH). Innovative approaches and strategies in the field of CMH have been extensively researched. However, this research has been hampered by issues limiting their capacity to inform clinicians and policymakers. We conducted an overview of meta-analyses of the effectiveness of innovative CMH models focussing on clinical and psychosocial outcomes in comparisons with standard care in adults with SMI. Based on the 12 eligible studies, we appraised, synthesised and graded the resulting evidence. There was moderate quality evidence that case management, Early Intervention Services (EIS) and caregiver-directed interventions were superior to standard care in reducing hospital admission. In relation to psychosocial outcomes, EIS showed high quality evidence of a small effect on global functioning. There was moderate quality evidence for a similar effect of Intensive Case Management, and for a large effect of family intervention. For quality of life, both EIS and self-management education had a small effect, with moderate quality. The level of research about effective CMH models is therefore substantial. However, several gaps related to innovative CMH not yet covered in meta-analytic synthesis, need to be filled.

Use of social network as a coping strategy for depression among young people during the COVID-19 lockdown: findings from the COMET collaborative study.

BACKGROUND: Use of social media (SM) has exponentially grown particularly among youths in the past two years, due to COVID-19-related changing lifestyles. Based on the Italian COvid Mental hEalth Trial (COMET), we investigated the association between SM use and depressive symptoms among Italian young adults (aged 18-24). METHODS: The COMET is a nationwide multi-center cross-sectional study that investigated socio-demographic data, social networking addiction (BSNAS), depression, anxiety, and stress (DASS-21), as well as impulsiveness (BIS-15) and aggressiveness (AQ) in a large sample of youngsters, in order to assess the association between BSNAS and DASS-21 indices. Mediation analyses were performed to evaluate the role of impulsiveness and aggressive personality traits in the association between SM use (SMU) and depression. RESULTS: 75.8% of the sample (n = 491) had a problematic SMU. SMU was reduced by high AQ and high DASS-21 scores (F = 42.338, p < 0.001, R2 = 0.207). Mediation analyses showed that SMU negatively predicted depressive symptomatology with the interaction mediated by AQ total (ß = - 0.1075), physical (ß = - 0.207) and anger (ß = - 0.0582), BIS-15 total (ß = - 0.0272) and attentional (ß = - 0.0302). High depressive levels were predicted by high AQ scores, low SMU levels, low verbal and physical AQ, and low attentional BIS-15 (F = 30.322, p < 0.001, R2 = 0.273). Depressive symptomatology negatively predicted SMU with their interaction mediated by AQ total (ß = - 0.1640), verbal (ß = 0.0436) and anger (ß = - 0.0807), BIS-15 total (ß = - 0.0448) and attentional (ß = - 0.0409). CONCLUSIONS: SMU during the early phases of the COVID-19 pandemic could have a beneficial role in buffering negative consequences linked to social isolation due to quarantine measures, despite this association being mediated by specific personality traits.

Pharmacological interventions to reduce violence in patients with schizophrenia in forensic psychiatry.

BACKGROUND: The purpose was to systematically investigate which pharmacological strategies are effective to reduce the risk of violence among patients with Schizophrenia Spectrum Disorders (SSD) in forensic settings. METHODS: For this systematic review six electronic data bases were searched. Two researchers independently screened the 6,003 abstracts resulting in 143 potential papers. These were then analyzed in detail by two independent researchers. Of these, 133 were excluded for various reasons leaving 10 articles in the present review. RESULTS: Of the 10 articles included, five were merely observational, and three were pre-post studies without controls. One study applied a matched case-control design and one was a non-randomized controlled trial. Clozapine was investigated most frequently, followed by olanzapine and risperidone. Often, outcome measures were specific to the study and sample sizes were small. Frequently, relevant methodological information was missing. Due to heterogeneous study designs and outcomes meta-analytic methods could not be applied. CONCLUSION: Due to substantial methodological limitations it is difficult to draw any firm conclusions about the most effective pharmacological strategies to reduce the risk of violence in patents with SSD in forensic psychiatry settings. Studies applying more rigorous methods regarding case-definition, outcome measures, sample sizes, and study designs are urgently needed.

Assessing vulnerability to psychological distress during the COVID-19 pandemic through the analysis of microblogging content.

In recent years we have witnessed a growing interest in the analysis of social media data under different perspectives, since these online platforms have become the preferred tool for generating and sharing content across different users organized into virtual communities, based on their common interests, needs, and perceptions. In the current study, by considering a collection of social textual contents related to COVID-19 gathered on the Twitter microblogging platform in the period between August and December 2020, we aimed at evaluating the possible effects of some critical factors related to the pandemic on the mental well-being of the population. In particular, we aimed at investigating potential lexicon identifiers of vulnerability to psychological distress in digital social interactions with respect to distinct COVID-related scenarios, which could be "at risk" from a psychological discomfort point of view. Such scenarios have been associated with peculiar topics discussed on Twitter. For this purpose, two approaches based on a "top-down" and a "bottom-up" strategy were adopted. In the top-down approach, three potential scenarios were initially selected by medical experts, and associated with topics extracted from the Twitter dataset in a hybrid unsupervised-supervised way. On the other hand, in the bottom-up approach, three topics were extracted in a totally unsupervised way capitalizing on a Twitter dataset filtered according to the presence of keywords related to vulnerability to psychological distress, and associated with at-risk scenarios. The identification of such scenarios with both approaches made it possible to capture and analyze the potential psychological vulnerability in critical situations.

The mediating role of depression in pathways linking positive and negative symptoms in schizophrenia. A longitudinal analysis using latent variable structural equation modelling.

BACKGROUND: The interaction between positive, negative and depressive symptoms experienced by people with schizophrenia is complex. We used longitudinal data to test the hypothesis that depressive symptoms mediate the links between positive and negative symptoms. METHODS: We analyzed data from the European Schizophrenia Cohort, randomly sampled from outpatient services in France, Germany and the UK (N = 1208). Initial measures were repeated after 6 and 12 months. Depressive symptoms were identified using the Calgary Depression Scale for Schizophrenia (CDSS), while positive and negative symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS). Latent variable structural equation modelling was used to investigate the mediating role of depression assessed at 6 months in relation to the longitudinal association between positive symptoms at baseline and negative symptoms at 12 months. RESULTS: We found longitudinal associations between positive symptoms at baseline and negative symptoms at 12 months, as well as between both of these and CDSS levels at 6 months. However depression did not mediate the longitudinal association between PANSS scores; all the effect was direct. CONCLUSIONS: Our findings are incompatible with a mediating function for depression on the pathway from positive to negative symptoms, at least on this timescale. The role of depression in schizophrenic disorders remains a challenge for categorical and hierarchical diagnostic systems alike. Future research should analyze specific domains of both depressive and negative symptoms (e.g. motivational and hedonic impairments). The clinical management of negative symptoms using antidepressant treatments may need to be reconsidered.

Chemokine alterations in bipolar disorder: A systematic review and meta-analysis.

We aimed to perform a systematic review and meta-analysis of studies examining the levels of chemokines in peripheral blood of patients with bipolar disorder (BD) and healthy controls. Meta-analysis was based on random-effects models with Hedges' g as the effect size estimate. We included 13 eligible studies (1221 BD patients and 663 controls). The following chemokines were analysed: interleukin-8 (IL-8), monocyte-chemoattractant protein-1 (MCP-1), eotaxin-1, eotaxin-2 and interferon-γ-induced protein 10 (IP-10). The levels of IL-8 (N = 8, g = 0.26, 95%CI: 0.11-0.41, p < 0.001), MCP-1 (N = 8, g = 0.40, 95%CI: 0.18-0.63), eotaxin-1 (N = 3, g = 0.55, 95%CI: 0.21-0.89, p = 0.001) and IP-10 (N = 4, g = 0.95, 95%CI: 0.67-1.22, p < 0.001) were significantly higher in BD patients as compared with controls. Subgroup analyses revealed that elevated levels of IL-8 (N = 5, g = 0.75, 95%CI: 0.42-1.07, p < 0.001) and MCP-1 (N = 4, g = 0.57, 95%CI: 0.28-0.86, p < 0.001) appeared only in BD patients during their depressive phase. Illness duration was associated with significantly lower levels of IL-8 in meta-regression analysis. In turn, elevated levels of IP-10 were present during euthymia (N = 2, g = 0.76, 95%CI: 0.43-1.10, p < 0.001) but not depression (N = 2, g = 1.81, 95%CI: -0.16 to 3.77, p = 0.072). The analysis of eotaxin-1 levels was mainly based on studies of euthymic BD patients (N = 3). Our results suggest that chemokine alterations in BD might be related to mood state. Elevated levels of IL-8 and MCP-1 might be specific to depression. Available evidence indicates that increased levels of eotaxin-1 and IP-10 appear in euthymia; however, more studies are needed to address these alterations in other mood states.

Facial emotion recognition in people with schizophrenia and a history of violence: a mediation analysis.

Evidence for an association between impaired facial emotion recognition and violence in people with schizophrenia is inconclusive. In particular, the role of misidentification patterns involving specific emotions such as anger and the influence of clinical characteristics on this association remain unclear. In this study, we compared facial emotion recognition performance in age- and gender-matched schizophrenia spectrum disorders subjects with (N = 52) and without (N = 52) a history of violence. Data on current symptom severity, Cluster B personality status, past victimization, and alcohol and substance misuse were also collected. Compared to those without, subjects with a history of violence showed worse facial emotion recognition performances, involving anger, fear, disgust, sadness, and happiness. When formally testing the reporting of angry faces, evidence of enhanced sensitivity to anger was not supported. Finally, when the impact of current symptoms was assessed, higher severity of activation symptoms, including motor hyperactivity, elevated mood, excitement and distractibility, mediated the relationship between history of violence and poor facial emotion recognition performance. As a whole, our findings seem to support the role of perceptual deficits involving different emotions as well as of a mediation played by activation symptoms. Facial emotion recognition deficits associated with the propensity to violence, as well certain symptoms mediating their relationship, should be targeted by specific treatment approaches.