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Facial emotion recognition (FER) and the jumping to conclusions (JTC) biases are well‐documented in psychotic disorders and have been proposed as an intermediate phenotype for the disorder. However, their relationship with subclinical psychotic features and their longitudinal course remains unclear. This study aimed to investigate the association of FER and the JTC with psychosis vulnerability in a sample of healthy individuals, with an eight‐year follow‐up in a subgroup to assess long‐term changes. A total of 100 healthy participants were recruited at baseline. FER and JTC were assessed at baseline using the Degraded Facial Affect Recognition (DFAR) task and the Beads task. Psychotic‐like experiences (PLEs) and schizotypal traits were measured at baseline and follow‐up using the Community Assessment of Psychic Experiences (CAPE) and the Structured Interview for Schizotypy‐Revised (SIS‐R), respectively. Longitudinal analyses were conducted in a subgroup of 17 participants after 8 years. At baseline, poorer FER and the presence of JTC were associated with a higher SIS‐R positive score. Longitudinal analyses showed that baseline JTC and DFAR anger and fear were associated with an increase in negative PLEs and schizotypal traits over time. These findings support the role of facial negative emotion recognition deficits and the JTC as a potential endophenotypic marker for psychosis vulnerability. The results highlight the importance of metacognition and social cognition impairments in the development and persistence of schizotypal traits. Future research should investigate the neurobiological and environmental mechanisms underlying these associations to inform early intervention strategies.

Burnout is present at a high rate in emergency medicine. The ambulance driver-rescuers, who furnish first aid to the victims, are the non-medical part of the Italian 118-service staff. There is a lack of research on burnout risk in Italian Emergency Medical Services and, particularly, for this category of workers. The two Italian studies, including a little group of ambulance driver-rescuers, reported inconsistent findings. This survey investigated for the first time the prevalence and exact profile of burnout in a large sample of Italian driver-rescuers. As a secondary aim, the study described how the items of the Italian version of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) cluster in components in this sample. This cross-sectional census survey was conducted from June 2015 through May 2016 and involved all the driver-rescuers operating in Sicily, the biggest and most southern region of Italy. The subjects received a classification according to different profiles of burnout by using the Italian version of the MBI-HSS (burnout, engagement, disengagement, over-extension, and work-inefficacy). In order to explore the existence of independent factors, a Principal Component Analysis (PCA) was conducted on the survey to obtain eigenvalues >one for each component in the data. The final sample comprised 2,361 responders (96.6% of the initial sample). Of them, 29.8% were in burnout (95% confidence interval [CI], 27.8% to 31.8%) and 1.7% presented a severe form (95% CI, 1.1% to 2.3%); 30.0% were engaged in their work (95% CI, 21.0% to 34.8%), 24.7% of responders were disengaged (95% CI, 22.9% to 26.5%), 1.2% presented an over-extension profile (95% CI, 0.8% to 1.7%), and 12.6% felt work-inefficacy (95% CI, 11.3% to 14.1%). The factors loaded into a five-factor solution at PCA, explaining 48.1% of the variance and partially replicating the three-factor structure. The Emotional Exhaustion (EE) component was confirmed. New dimensions from Personal Accomplishment (PA) and Depersonalization (DP) sub-scales described empathy and disengagement with patients, respectively, and were responsible for the increased risk of burnout. These results endorse the importance of screening and psychological interventions for this population of emergency workers, where burnout could manifest itself more insidiously. It is also possible to speculate that sub-optimal empathy skills could be related to the disengagement and work-inefficacy feelings registered.

We evaluated the association between healthy lifestyles and academic achievement in a sample of 373 adolescent Italian students. Specifically, we investigated on the association between use of illegal drugs, habits to practice a regular physical, typology of diet, levels of social support, levels of self-esteem, level of Internet use, perceived stress and amount of sleep and academic achievement. Academic performance was positively correlated with good diet, perceived social support, and self-esteem. A statistically significant difference emerged between students with high versus low correct grade point averages in relation to lifetime and current use of illegal drugs. Last, academic performance was negatively correlated with Internet use, perceived stress, and bad diet. A multiple regression analysis was conducted in order to predict academic achievement based on good diet, physical activity, self-esteem, sleep hours, perceived stress, problematic Internet use, perceived social support, and lifetime substance use while controlling for age, gender, and years of education. As expected, healthy lifestyles behaviors were highlighted as a significant predictor in academic achievement. Specifically, it was showed that a good diet as well as nonproblematic Internet use significantly predicted academic success. Moreover, it was found that gender did not moderate the relationship between those predictors and academic achievement. The results of our study show that to practice healthy lifestyle behaviors is a relevant factor for a better performance at school, at least in our sample.

Psychosis rates are higher among some migrant groups. We hypothesized that psychosis in migrants is associated with cumulative social disadvantage during different phases of migration. We used data from the EUropean Network of National Schizophrenia Networks studying Gene-Environment Interactions (EU-GEI) case-control study. We defined a set of three indicators of social disadvantage for each phase: pre-migration, migration and post-migration. We examined whether social disadvantage in the pre- and post-migration phases, migration adversities, and mismatch between achievements and expectations differed between first-generation migrants with first-episode psychosis and healthy first-generation migrants, and tested whether this accounted for differences in odds of psychosis in multivariable logistic regression models. In total, 249 cases and 219 controls were assessed. Pre-migration (OR 1.61, 95% CI 1.06-2.44, = 0.027) and post-migration social disadvantages (OR 1.89, 95% CI 1.02-3.51, = 0.044), along with expectations/achievements mismatch (OR 1.14, 95% CI 1.03-1.26, = 0.014) were all significantly associated with psychosis. Migration adversities (OR 1.18, 95% CI 0.672-2.06, = 0.568) were not significantly related to the outcome. Finally, we found a dose-response effect between the number of adversities across all phases and odds of psychosis (⩾6: OR 14.09, 95% CI 2.06-96.47, = 0.007). The cumulative effect of social disadvantages before, during and after migration was associated with increased odds of psychosis in migrants, independently of ethnicity or length of stay in the country of arrival. Public health initiatives that address the social disadvantages that many migrants face during the whole migration process and post-migration psychological support may reduce the excess of psychosis in migrants.

Schizophrenia (SZ), bipolar disorder (BD) and depression (D) run in families. This susceptibility is partly due to hundreds or thousands of common genetic variants, each conferring a fractional risk. The cumulative effects of the associated variants can be summarised as a polygenic risk score (PRS). Using data from the EUropean Network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) first episode case-control study, we aimed to test whether PRSs for three major psychiatric disorders (SZ, BD, D) and for intelligent quotient (IQ) as a neurodevelopmental proxy, can discriminate affective psychosis (AP) from schizophrenia-spectrum disorder (SSD). Participants (842 cases, 1284 controls) from 16 European EU-GEI sites were successfully genotyped following standard quality control procedures. The sample was stratified based on genomic ancestry and analyses were done only on the subsample representing the European population (573 cases, 1005 controls). Using PRS for SZ, BD, D, and IQ built from the latest available summary statistics, we performed simple or multinomial logistic regression models adjusted for 10 principal components for the different clinical comparisons. In case-control comparisons PRS-SZ, PRS-BD and PRS-D distributed differentially across psychotic subcategories. In case-case comparisons, both PRS-SZ [odds ratio (OR) = 0.7, 95% confidence interval (CI) 0.54-0.92] and PRS-D (OR = 1.31, 95% CI 1.06-1.61) differentiated AP from SSD; and within AP categories, only PRS-SZ differentiated BD from psychotic depression (OR = 2.14, 95% CI 1.23-3.74). Combining PRS for severe psychiatric disorders in prediction models for psychosis phenotypes can increase discriminative ability and improve our understanding of these phenotypes. Our results point towards the potential usefulness of PRSs in specific populations such as high-risk or early psychosis phases.

The COVID-19 pandemic has had a significant impact on the quality of life (QoL), daily lifestyle, and mental health of people suffering from a mental disorder. This study aimed to investigate the effects of the prolongation of the COVID-19 emergency on QoL and lifestyles in a sample of 100 outpatients at the Psychiatry Unit in Palermo University Hospital, Italy. QoL was measured through the 12-item Short Form Survey and the COV19-Impact on Quality of Life. Lifestyle changes during the pandemic were measured through the lifestyle change questionnaire. The majority of participants reported a great impact of COVID-19 on the QoL, and almost half reported worsened lifestyles. Worsened lifestyles were predictive of both poor mental and physical health related QoL. These results suggest that people with mental illness need interventions targeting lifestyles, and the mental health service in Italy should adjust to the ongoing pandemic, developing virtual treatments.

The duration of untreated psychosis (DUP) is still considerably long in patients with psychotic disorders worldwide. Social determinants, such as the socioeconomic status, can influence DUP, exacerbating health inequalities in access to timely care. We investigated whether subpopulations with shared characteristics are associated with longer DUP. We performed latent class analyses to investigate whether classes with shared configurations of social and substance use-related risks can be identified in two large cohorts with psychotic disorders:  = 780 patients from the GROUP project and  = 847 patients from the EU-GEI project. Subsequently, we conducted survival analyses to analyze whether identified classes are associated with DUP. We identified three classes in both samples. Membership of the class with predominantly younger men, higher proportion of cannabis use, and supported living was associated with longer DUP compared with a class with predominantly White ethnicity, higher education, and current employment in GROUP (HR = 1.28, 95% CI: 1.06-1.56,  = .011) and in EU-GEI (HR = 1.27, 95% CI: 1.07-1.51,  = .007). In GROUP, membership of a third class with predominantly White women, without cannabis use, was associated with the shortest DUP (HR = 0.78, 95% CI: 0.63-0.95,  = .016). Results suggest that specific populations differ in their risk distributions for prolonged DUP and highlight the importance of considering configurations of social determinants in context. Public mental health programs need to establish their differential impact for diverse populations and facilitate more targeted pathways to care.

Abstract Background and Hypothesis Using data from the EU-GEI Work Package 2 (EU-GEI WP2) programme, we sought to test several hypotheses related to gaps in our knowledge of associations between childhood adversities and psychosis. Study Design EU-GEI WP2 comprises incidence and case–control studies of first-episode psychosis conducted in 17 sites in 6 countries. In each site, over 2-year periods, we identified and collected relevant data from individuals aged 18-64 with a first-episode psychosis and with no history of psychosis. Missing data were imputed. We used multi-level logistic regression to test our hypotheses. Study Results In total, 1071 cases and 1497 controls were included. We found variations in the prevalence and the magnitude of associations between any adversity and psychosis by place (eg, odds ratios ranged from 0.4 [Cuenca, Spain] to 12.1 [Madrid, Spain]). The weighted percentages reporting adversities in control samples were associated with site incidence rates (eg, 3+ adversities: Spearman’s rho 0.56, P .025). We found variations in the magnitude of associations by sex (eg, effect of physical and sexual abuse stronger among women), by age of exposure, and by severity and frequency of adversities (eg, largest odds ratios for adversities involving hostility, threat, and violence). Conclusions Variations across populations in prevalence and effects of adversities may contribute to variations in rates of psychosis. Variations in effects by sex and age of onset may point to sex-specific mechanisms and to developmentally sensitive periods. Adversities involving severe threat, hostility, and violence may have the largest effects on risk of psychosis.

A history of childhood adversity is associated with psychotic disorder, with an increase in risk according to the number of exposures. However, it is not known why only some exposed individuals go on to develop psychosis. One possibility is pre-existing polygenic vulnerability. Here, we investigated, in the largest sample of first-episode psychosis (FEP) cases to date, whether childhood adversity and high polygenic risk scores for schizophrenia (SZ-PRS) combine synergistically to increase the risk of psychosis, over and above the effect of each alone. We assigned a schizophrenia-polygenic risk score (SZ-PRS), calculated from the Psychiatric Genomics Consortium (PGC2), to all participants in a sample of 384 FEP patients and 690 controls from the case-control component of the EU-GEI study. Only participants of European ancestry were included in the study. A history of childhood adversity was collected using the Childhood Trauma Questionnaire (CTQ). Synergistic effects were estimated using the interaction contrast ratio (ICR) [odds ratio (OR) - OR - OR + 1] with adjustment for potential confounders. There was some evidence that the combined effect of childhood adversities and polygenic risk was greater than the sum of each alone, as indicated by an ICR greater than zero [i.e. ICR 1.28, 95% confidence interval (CI) -1.29 to 3.85]. Examining subtypes of childhood adversities, the strongest synergetic effect was observed for physical abuse (ICR 6.25, 95% CI -6.25 to 20.88). Our findings suggest possible synergistic effects of genetic liability and childhood adversity experiences in the onset of FEP, but larger samples are needed to increase precision of estimates.