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Background: Tobacco is a highly prevalent substance of abuse in patients with psychosis. Previous studies have reported an association between tobacco use and schizophrenia. The aim of this study was to analyze the relationship between tobacco use and first-episode psychosis (FEP), age at onset of psychosis, and specific diagnosis of psychosis. Methods: The sample consisted of 1105 FEP patients and 1355 controls from the European Network of National Schizophrenia Networks Studying Gene–Environment Interactions (EU-GEI) study. We assessed substance use with the Tobacco and Alcohol Questionnaire and performed a series of regression analyses using case-control status, age of onset of psychosis, and diagnosis as outcomes and tobacco use and frequency of tobacco use as predictors. Analyses were adjusted for sociodemographic characteristics, alcohol, and cannabis use. Results: After controlling for cannabis use, FEP patients were 2.6 times more likely to use tobacco [ p ⩽ 0.001; adjusted odds ratio (AOR) 2.6; 95% confidence interval (CI) [2.1–3.2]] and 1.7 times more likely to smoke 20 or more cigarettes a day (p = 0.003; AOR 1.7; 95% CI [1.2–2.4]) than controls. Tobacco use was associated with an earlier age at psychosis onset (β = −2.3; p ⩽ 0.001; 95% CI [−3.7 to −0.9]) and was 1.3 times more frequent in FEP patients with a diagnosis of schizophrenia than in other diagnoses of psychosis (AOR 1.3; 95% CI [1.0–1.8]); however, these results were no longer significant after controlling for cannabis use. Conclusions: Tobacco and heavy-tobacco use are associated with increased odds of FEP. These findings further support the relevance of tobacco prevention in young populations. [ABSTRACT FROM AUTHOR]

BackgroundMany studies have reported that cannabis use increases the risk of a first episode of psychosis (FEP). However, only a few studies have investigated the nature of cannabis-related experiences in FEP patients, and none has examined whether these experiences are similar in FEP and general populations. The aim of this study was to explore differences in self-reported cannabis experiences between FEP and non-psychotic populations.MethodA total of 252 subjects, who met International Classification of Diseases (ICD)-10 criteria for FEP, and 217 controls who reported cannabis use were selected from the Genetics and Psychosis (GAP) study. The Medical Research Council Social Schedule and the Cannabis Experience Questionnaire were used to collect sociodemographic data and cannabis use information, respectively.ResultsBoth ‘bad’ and ‘enjoyable’ experiences were more commonly reported by FEP subjects than controls. Principal components factor analysis identified four components which explained 62.3% of the variance. Linear regression analysis on the whole sample showed that the type of cannabis used and beliefs about the effect of cannabis on health all contributed to determining the intensity and frequency of experiences. Linear regression analysis on FEP subjects showed that the duration of cannabis use and amount of money spent on cannabis were strongly related to the intensity and frequency of enjoyable experiences in this population.ConclusionsThese results suggest a higher sensitivity to cannabis effects among people who have suffered their first psychotic episode; this hypersensitivity results in them reporting both more ‘bad’ and ‘enjoyable’ experiences. The greater enjoyment experienced may provide an explanation of why FEP patients are more likely to use cannabis and to continue to use it despite experiencing an exacerbation of their psychotic symptoms. [ABSTRACT FROM PUBLISHER]

Introduction: Videogames have become more popular across females, although their widespread diffusion among males. However, few studies have examined differences between female and male gamers and gender-specific risk factors for Internet Gaming Disorder (IGD). Objectives: The study aimed to describe males and females' differences in a sample of gamers, and to identify gender-specific riskfactors for IGD, accounting for alexithymia, playing habits, and other perceived stressors. Methods: Participants were gamers joining online communities, tested by IGDS-SF9 and TAS-20 for alexithymia. To explore risk-factors for IGD (outcome: IGD>=21), we set a binary logistic regression stratified by gender. Results: 5,305males and 674 females differed inmost of the descriptive characteristics (Figure-1) and game-genres preferences (Figure-2). Higher DIF scores increased the risk of IGD in both males (OR=1.8 95% C.I. 1.6, 2) and females (OR=1.3 95% C.I. 1.1, 1.7) while higher EOT in males only (OR=1.2 95% C.I. 1.1, 1.3). Having another hobby apart fromgaming was protective formales (OR=0.5, 95%C.I. 0.4, 0.6). Having started playing before their ten-years was a risk factor for females (OR=2.3 95% C.I. 1.2, 4.6). Loneliness and boredom feelings predicted IGD in males (OR=1.7 95% C.I. 1.5, 2) and, even more, in females (OR=2.7 95% C.I. 1.8, 4.2). Playing more than six hours/per day increased IGD-risk up to seven times in males (OR=7.3 95% C.I. 5.1, 10.3) and of almost sixteen times in females (OR=15.9 95% C.I. 5.4, 46.7) (Figure-3). Conclusions: Female gamers presented specific characteristics and a greater vulnerability to the increased time spent playing as a riskfactor for IGD. [ABSTRACT FROM AUTHOR]

Introduction: Online gaming is potentially harmful to a group, but not for the entire population, of online gamers. The prevalence varies by geographical areas, however, there are few Italian studies about risk factors for Internet Gaming Disorder (IGD) and its presence among non-occasional gamers. Objectives: This study aimed to describe the presence of IGD in internet gamers who participate in online communities, and how well-established risk-factors can predict it. Methods: Participants were surveyed about their playing habits and other relevant characteristics. IGDS-SF9 diagnosed IGD. TAS-20 measured alexithymia scores, i.e. Difficult in Identifying (DIF) and Describing Feelings (DDF), and Externally Oriented Thinking (EOT). Selected order of variables (via linear regression) and interactions were set in a logistic regression (outcome: IGD=21). Results: The sample included 5,979 responders (88.7% males; 44% 14-18 years-hold). Alexithymia explained the 11.3% of the variance. IGD was present in the 43% of the subjects, the risk (70% prediction-rate) was increased by male gender (OR=1.2, 95% C.I. =1, 1.5, p=0.019), higher DIF z-scores (OR=1.5, 95% C.I.=1.1, 2.1, p=0.003), boredom/loneliness feelings (OR=1.8, 95% C.I.=1.5, 2, p<0.001), recent negative events (OR=1.1, 95% C.I.=1, 1.3, p=0.026), a behavioural dependency (OR=2.1, 95% C.I.=1.2, 3.9, p=0.009). Time spent playing exponentially increased the risk, up to eight times if six hours/per day were spent playing (OR=7.6, 95% C.I.=5.5, 10.6, p<0.001) and it did not interact with DIF scores (Figure-1). Figure-1. Conclusions: Players who participate in forum and communities are particularly at-risk of IGD. DIF and time spent playing were the most important and independent predictors of a pathological approach to videogames. [ABSTRACT FROM AUTHOR]

Introduction: Internet gaming disorder (IGD) is a new diagnosis in DSM 5 worth of research. New potentially addictive features are emerging in pay- and free-to-play videogames, involving different at-risk populations of gamers. However, few studies have examined whether and how different game-genres can contribute to the risk of IGD. Objectives: This study aimed to investigate how game-genres can predict IGD, accounting for alexithymia scores, time-related playing habits, and other predictors. Methods: Participants were gamers joining online communities, surveyed about which games they played more than 20 hours in their lifetime, time-variables, other stressors and alexithymia scores. A six-steps linear regression with IGD scores and a post hoc logistic regression (outcome: IGD>=21) were performed. Results: 5,979 subjects (88.7% males, 14-18 years), playing at different games (Figure-1). The game-genre explained the 1% of variation only. WoW and similar MMORPGs confirmed their potentiality in promoting IGD, regardless of alexithymia features (B=0.50, p=0.005). However, time-variables completely absorbed the WoW effect (B=0.01, p=0.951). LoL resulted addictive, even if considering time-variables and alexithymia (B=0.88, p<0.001). Minecraft emerged when time-variables were inserted (B=0.359, p=0.041) and stayed significant if removing alexithymia scores (B=0.48, p=0.010). Playing at Diablo3 and similar RPG did not increase IGD (B=-0.99, p>0.001). None of the different gamegenres was able to push the subject over the threshold of IGD, because other characteristics interacted as additive risk-factors. Conclusions: Alexithymia traits and time-related playing habits mostly moderated the effect of different games in increasing IGD risk. A videogame could engage people with specific characteristics that may, in turn, differentially predispose to IGD. [ABSTRACT FROM AUTHOR]

Introduction Discrimination towards people with schizophrenia (PWS) by healthcare professionals is responsible of underdiagnosis and undertreatment of these patients. Negative attitudes toward PSW in health care professionals tend to be present since their university studies and are related to their knowledge and experience about the disease. Objectives and aims To assess opinion towards PSW in medical, nursing and psychology students and to investigate the relation with their knowledge of schizophrenia and its causes. Methods The study involved 133 medical, 200 nursing and 296 psychology undergraduate students. The opinion on mental illness questionnaire, the Devaluation Consumers Scale, and the Devaluation of Consumer Families Scale were administered to the sample. ANOVA and ANCOVA were used to test differences between groups and the relation between causal explanation of schizophrenia and discrimination towards PWS. Results Psychology students were more aware than the other student of public stigma towards PWS and their families ( F 12.57, P < 0.001; F 32.69, P < 0.001) and expressed a more positive view on treatments’ effectiveness ( F 30.74, P < 0.001). Psychology (OR 0.48, 95% CI 0.26–0.88) and nursing (OR 0.29, 95% CI 0.15–0.55) students were more likely to identify psychological and social risk factors as more frequent causes of schizophrenia (vs. biogenetics) and these, in turn, were related to a better opinion towards social equality of PWS. Conclusions These preliminary findings underline the relevance of biopsychosocial model of schizophrenia within stigma-reduction programs for health science students. [ABSTRACT FROM AUTHOR]

Introduction The World Health Organization (WHO) considers stigma of mental illness as a crucial problem (WHO, 2001). Stigma contributes to the onset (Morgan et al., 2010) and the outcome of people affected by schizophrenia (Himan, 2015). Objectives To evaluate the perception of patients affected by psychotic disorders of being stigmatized by the community. Aims To compare the perception of stigma among subgroups of patients at different stage of their disorder. Methods Thirty-five patients affected by a first-episode of psychosis (FEP) and 96 patients affected by chronic psychosis were recruited. The Devaluation of Consumers Scale (DCS) and the Devaluation of Consumer Families Scale (DCFS) were administered to assess the perceived public stigma (Struening et al., 2001). The Positive And Negative Schizophrenic Symptoms Scale (PANSS) (Kay et al., 1987) and the Global Assessment of Functioning (GAF) (Goldman et al., 1992) were administered to assess psychotic symptoms and global level of functioning. Results Patients affected by chronic psychosis perceived higher devaluation against mental disorders than patients with a recent onset of psychosis (Mann–Whitney's U = 910.500, P = 0.017). DCS and DCFS correlated with increased voluntary admissions (Rho = 0.355, P = 0.002; Rho = 0.257, P = 0.029) and DCS with increased compulsory admissions (Rho = 0.349, P = 0.003). Only among chronic patients, DCS factor 2 was related to global level of functioning (Rho = 0.217, P = 0.041). Conclusions Patients affected by chronic psychotic disorders perceived a more pessimistic attitude of the community towards their participation in social and community life and this is related to increased admissions and disability. [ABSTRACT FROM AUTHOR]

Introduction A number of authors have hypothesized that psychotic patients who consume cannabis constitute a differentiated subgroup of patients that have better cognitive and social skills, necessary to engage in illegal drug consumption, than non-using patients. Objectives Given that the prevalence, and patterns, of cannabis use are culturally driven, we wanted to study first-episode psychosis (FEP) cannabis-using and non-using patients coming from different European countries as part of the EUGEI-STUDY. Aims We tested the hypothesis of better premorbid social adjustment in cannabis-using FEP patients, by comparing them to FEP non cannabis users and to their respective healthy controls. Methods A total of 1745 people (746 cases; 999 controls) completed the assessment for premorbid adjustment [Premorbid Adjustment Scale (PAS)] and cannabis use (CEQ-Revised). We first extracted the Premorbid Social Adjustment Factor (PSA) from PAS and then performedlinear mixed models with PSA as dependent variable and cannabis lifetime (Yes/No) and subject status (Cases/Controls) as independent variables. We then considered “Country” as random intercept. Results Across all countries, PSA scores were better in patients who had smoked cannabis in their lifetime than patients who had not ( P = 0.009). The difference in PSA score between cannabis users and non-users was significantly greater in cases than controls ( P = 0.038). The relationship between PSA, cannabis lifetime (Yes/No) and subject status among nations (random intercept) is shown on Fig. 1 . Conclusions Cannabis-using psychotic patients show better premorbid social adjustment than non-using patients, across 5 European countries. [ABSTRACT FROM AUTHOR]

Background: The association between cannabis and psychosis is established, but the role of underlying genetics is unclear. We used data from the EU-GEI case-control study and UK Biobank to examine the independent and combined effect of heavy cannabis use and schizophrenia polygenic risk score (PRS) on risk for psychosis., Methods: Genome-wide association study summary statistics from the Psychiatric Genomics Consortium and the Genomic Psychiatry Cohort were used to calculate schizophrenia and cannabis use disorder (CUD) PRS for 1098 participants from the EU-GEI study and 143600 from the UK Biobank. Both datasets had information on cannabis use., Results: In both samples, schizophrenia PRS and cannabis use independently increased risk of psychosis. Schizophrenia PRS was not associated with patterns of cannabis use in the EU-GEI cases or controls or UK Biobank cases. It was associated with lifetime and daily cannabis use among UK Biobank participants without psychosis, but the effect was substantially reduced when CUD PRS was included in the model. In the EU-GEI sample, regular users of high-potency cannabis had the highest odds of being a case independently of schizophrenia PRS (OR daily use high-potency cannabis adjusted for PRS = 5.09, 95% CI 3.08-8.43, p = 3.21 × 10 -10 ). We found no evidence of interaction between schizophrenia PRS and patterns of cannabis use., Conclusions: Regular use of high-potency cannabis remains a strong predictor of psychotic disorder independently of schizophrenia PRS, which does not seem to be associated with heavy cannabis use. These are important findings at a time of increasing use and potency of cannabis worldwide.

Background: Cannabis use and familial vulnerability to psychosis have been associated with social cognition deficits. This study examined the potential relationship between cannabis use and cognitive biases underlying social cognition and functioning in patients with first episode psychosis (FEP), their siblings, and controls., Methods: We analyzed a sample of 543 participants with FEP, 203 siblings, and 1168 controls from the EU-GEI study using a correlational design. We used logistic regression analyses to examine the influence of clinical group, lifetime cannabis use frequency, and potency of cannabis use on cognitive biases, accounting for demographic and cognitive variables., Results: FEP patients showed increased odds of facial recognition processing (FRP) deficits (OR = 1.642, CI 1.123-2.402) relative to controls but not of speech illusions (SI) or jumping to conclusions (JTC) bias, with no statistically significant differences relative to siblings. Daily and occasional lifetime cannabis use were associated with decreased odds of SI (OR = 0.605, CI 0.368-0.997 and OR = 0.646, CI 0.457-0.913 respectively) and JTC bias (OR = 0.625, CI 0.422-0.925 and OR = 0.602, CI 0.460-0.787 respectively) compared with lifetime abstinence, but not with FRP deficits, in the whole sample. Within the cannabis user group, low-potency cannabis use was associated with increased odds of SI (OR = 1.829, CI 1.297-2.578, FRP deficits (OR = 1.393, CI 1.031-1.882, and JTC (OR = 1.661, CI 1.271-2.171) relative to high-potency cannabis use, with comparable effects in the three clinical groups., Conclusions: Our findings suggest increased odds of cognitive biases in FEP patients who have never used cannabis and in low-potency users. Future studies should elucidate this association and its potential implications.

Background: Incidence of first-episode psychosis (FEP) varies substantially across geographic regions. Phenotypes of subclinical psychosis (SP), such as psychotic-like experiences (PLEs) and schizotypy, present several similarities with psychosis. We aimed to examine whether SP measures varied across different sites and whether this variation was comparable with FEP incidence within the same areas. We further examined contribution of environmental and genetic factors to SP., Methods: We used data from 1497 controls recruited in 16 different sites across 6 countries. Factor scores for several psychopathological dimensions of schizotypy and PLEs were obtained using multidimensional item response theory models. Variation of these scores was assessed using multi-level regression analysis to estimate individual and between-sites variance adjusting for age, sex, education, migrant, employment and relational status, childhood adversity, and cannabis use. In the final model we added local FEP incidence as a second-level variable. Association with genetic liability was examined separately., Results: Schizotypy showed a large between-sites variation with up to 15% of variance attributable to site-level characteristics. Adding local FEP incidence to the model considerably reduced the between-sites unexplained schizotypy variance. PLEs did not show as much variation. Overall, SP was associated with younger age, migrant, unmarried, unemployed and less educated individuals, cannabis use, and childhood adversity. Both phenotypes were associated with genetic liability to schizophrenia., Conclusions: Schizotypy showed substantial between-sites variation, being more represented in areas where FEP incidence is higher. This supports the hypothesis that shared contextual factors shape the between-sites variation of psychosis across the spectrum.

Background: We examined whether cannabis use contributes to the increased risk of psychotic disorder for non-western minorities in Europe., Methods: We used data from the EU-GEI study (collected at sites in Spain, Italy, France, the United Kingdom, and the Netherlands) on 825 first-episode patients and 1026 controls. We estimated the odds ratio (OR) of psychotic disorder for several groups of migrants compared with the local reference population, without and with adjustment for measures of cannabis use., Results: The OR of psychotic disorder for non-western minorities, adjusted for age, sex, and recruitment area, was 1.80 (95% CI 1.39-2.33). Further adjustment of this OR for frequency of cannabis use had a minimal effect: OR = 1.81 (95% CI 1.38-2.37). The same applied to adjustment for frequency of use of high-potency cannabis. Likewise, adjustments of ORs for most sub-groups of non-western countries had a minimal effect. There were two exceptions. For the Black Caribbean group in London, after adjustment for frequency of use of high-potency cannabis the OR decreased from 2.45 (95% CI 1.25-4.79) to 1.61 (95% CI 0.74-3.51). Similarly, the OR for Surinamese and Dutch Antillean individuals in Amsterdam decreased after adjustment for daily use: from 2.57 (95% CI 1.07-6.15) to 1.67 (95% CI 0.62-4.53)., Conclusions: The contribution of cannabis use to the excess risk of psychotic disorder for non-western minorities was small. However, some evidence of an effect was found for people of Black Caribbean heritage in London and for those of Surinamese and Dutch Antillean heritage in Amsterdam.

Background: While cannabis use is a well-established risk factor for psychosis, little is known about any association between reasons for first using cannabis (RFUC) and later patterns of use and risk of psychosis., Methods: We used data from 11 sites of the multicentre European Gene-Environment Interaction (EU-GEI) case-control study. 558 first-episode psychosis patients (FEPp) and 567 population controls who had used cannabis and reported their RFUC.We ran logistic regressions to examine whether RFUC were associated with first-episode psychosis (FEP) case-control status. Path analysis then examined the relationship between RFUC, subsequent patterns of cannabis use, and case-control status., Results: Controls (86.1%) and FEPp (75.63%) were most likely to report 'because of friends' as their most common RFUC. However, 20.1% of FEPp compared to 5.8% of controls reported: 'to feel better' as their RFUC (χ 2 = 50.97; p < 0.001). RFUC 'to feel better' was associated with being a FEPp (OR 1.74; 95% CI 1.03-2.95) while RFUC 'with friends' was associated with being a control (OR 0.56; 95% CI 0.37-0.83). The path model indicated an association between RFUC 'to feel better' with heavy cannabis use and with FEPp-control status., Conclusions: Both FEPp and controls usually started using cannabis with their friends, but more patients than controls had begun to use 'to feel better'. People who reported their reason for first using cannabis to 'feel better' were more likely to progress to heavy use and develop a psychotic disorder than those reporting 'because of friends'.

Background: Childhood adversity and cannabis use are considered independent risk factors for psychosis, but whether different patterns of cannabis use may be acting as mediator between adversity and psychotic disorders has not yet been explored. The aim of this study is to examine whether cannabis use mediates the relationship between childhood adversity and psychosis., Methods: Data were utilised on 881 first-episode psychosis patients and 1231 controls from the European network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study. Detailed history of cannabis use was collected with the Cannabis Experience Questionnaire. The Childhood Experience of Care and Abuse Questionnaire was used to assess exposure to household discord, sexual, physical or emotional abuse and bullying in two periods: early (0-11 years), and late (12-17 years). A path decomposition method was used to analyse whether the association between childhood adversity and psychosis was mediated by (1) lifetime cannabis use, (2) cannabis potency and (3) frequency of use., Results: The association between household discord and psychosis was partially mediated by lifetime use of cannabis (indirect effect coef. 0.078, s.e. 0.022, 17%), its potency (indirect effect coef. 0.059, s.e. 0.018, 14%) and by frequency (indirect effect coef. 0.117, s.e. 0.038, 29%). Similar findings were obtained when analyses were restricted to early exposure to household discord., Conclusions: Harmful patterns of cannabis use mediated the association between specific childhood adversities, like household discord, with later psychosis. Children exposed to particularly challenging environments in their household could benefit from psychosocial interventions aimed at preventing cannabis misuse.

Background: Child maltreatment (CM) and migrant status are independently associated with psychosis. We examined prevalence of CM by migrant status and tested whether migrant status moderated the association between CM and first-episode psychosis (FEP). We further explored whether differences in CM exposure contributed to variations in the incidence rates of FEP by migrant status., Methods: We included FEP patients aged 18-64 years in 14 European sites and recruited controls representative of the local populations. Migrant status was operationalized according to generation (first/further) and region of origin (Western/non-Western countries). The reference population was composed by individuals of host country's ethnicity. CM was assessed with Childhood Trauma Questionnaire. Prevalence ratios of CM were estimated using Poisson regression. We examined the moderation effect of migrant status on the odds of FEP by CM fitting adjusted logistic regressions with interaction terms. Finally, we calculated the population attributable fractions (PAFs) for CM by migrant status., Results: We examined 849 FEP cases and 1142 controls. CM prevalence was higher among migrants, their descendants and migrants of non-Western heritage. Migrant status, classified by generation (likelihood test ratio:χ 2 = 11.3, p = 0.004) or by region of origin (likelihood test ratio:χ 2 = 11.4, p = 0.003), attenuated the association between CM and FEP. PAFs for CM were higher among all migrant groups compared with the reference populations., Conclusions: The higher exposure to CM, despite a smaller effect on the odds of FEP, accounted for a greater proportion of incident FEP cases among migrants. Policies aimed at reducing CM should consider the increased vulnerability of specific subpopulations.

Background: 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)., Methods: 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., Results: 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)., Conclusions: 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.

Background: 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., Methods: 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., Results: In total, 249 cases and 219 controls were assessed. Pre-migration (OR 1.61, 95% CI 1.06-2.44, p = 0.027) and post-migration social disadvantages (OR 1.89, 95% CI 1.02-3.51, p = 0.044), along with expectations/achievements mismatch (OR 1.14, 95% CI 1.03-1.26, p = 0.014) were all significantly associated with psychosis. Migration adversities (OR 1.18, 95% CI 0.672-2.06, p = 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, p = 0.007)., Conclusions: 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.

Aims: Gene x environment (G×E) interactions, i.e. genetic modulation of the sensitivity to environmental factors and/or environmental control of the gene expression, have not been reliably established regarding aetiology of psychotic disorders. Moreover, recent studies have shown associations between the polygenic risk scores for schizophrenia (PRS-SZ) and some risk factors of psychotic disorders, challenging the traditional gene v. environment dichotomy. In the present article, we studied the role of GxE interaction between psychosocial stressors (childhood trauma, stressful life-events, self-reported discrimination experiences and low social capital) and the PRS-SZ on subclinical psychosis in a population-based sample., Methods: Data were drawn from the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study, in which subjects without psychotic disorders were included in six countries. The sample was restricted to European descendant subjects ( n = 706). Subclinical dimensions of psychosis (positive, negative, and depressive) were measured by the Community Assessment of Psychic Experiences (CAPE) scale. Associations between the PRS-SZ and the psychosocial stressors were tested. For each dimension, the interactions between genes and environment were assessed using linear models and comparing explained variances of 'Genetic' models (solely fitted with PRS-SZ), 'Environmental' models (solely fitted with each environmental stressor), 'Independent' models (with PRS-SZ and each environmental factor), and 'Interaction' models (Independent models plus an interaction term between the PRS-SZ and each environmental factor). Likelihood ration tests (LRT) compared the fit of the different models., Results: There were no genes-environment associations. PRS-SZ was associated with positive dimensions ( β = 0.092, R 2 = 7.50%), and most psychosocial stressors were associated with all three subclinical psychotic dimensions (except social capital and positive dimension). Concerning the positive dimension, Independent models fitted better than Environmental and Genetic models. No significant GxE interaction was observed for any dimension., Conclusions: This study in subjects without psychotic disorders suggests that (i) the aetiological continuum hypothesis could concern particularly the positive dimension of subclinical psychosis, (ii) genetic and environmental factors have independent effects on the level of this positive dimension, (iii) and that interactions between genetic and individual environmental factors could not be identified in this sample.

Background: In Europe, the incidence of psychotic disorder is high in certain migrant and minority ethnic groups (hence: 'minorities'). However, it is unknown how the incidence pattern for these groups varies within this continent. Our objective was to compare, across sites in France, Italy, Spain, the UK and the Netherlands, the incidence rates for minorities and the incidence rate ratios (IRRs, minorities v. the local reference population)., Methods: The European Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) study was conducted between 2010 and 2015. We analyzed data on incident cases of non-organic psychosis (International Classification of Diseases, 10th edition, codes F20-F33) from 13 sites., Results: The standardized incidence rates for minorities, combined into one category, varied from 12.2 in Valencia to 82.5 per 100 000 in Paris. These rates were generally high at sites with high rates for the reference population, and low at sites with low rates for the reference population. IRRs for minorities (combined into one category) varied from 0.70 (95% CI 0.32-1.53) in Valencia to 2.47 (95% CI 1.66-3.69) in Paris (test for interaction: p = 0.031). At most sites, IRRs were higher for persons from non-Western countries than for those from Western countries, with the highest IRRs for individuals from sub-Saharan Africa (adjusted IRR = 3.23, 95% CI 2.66-3.93)., Conclusions: Incidence rates vary by region of origin, region of destination and their combination. This suggests that they are strongly influenced by the social context.

Background: Ethnic minority groups in Western countries face an increased risk of psychotic disorders. Causes of this long-standing public health inequality remain poorly understood. We investigated whether social disadvantage, linguistic distance and discrimination contributed to these patterns., Methods: We used case-control data from the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study, carried out in 16 centres in six countries. We recruited 1130 cases and 1497 population-based controls. Our main outcome measure was first-episode ICD-10 psychotic disorder (F20-F33), and exposures were ethnicity (white majority, black, mixed, Asian, North-African, white minority and other), generational status, social disadvantage, linguistic distance and discrimination. Age, sex, paternal age, cannabis use, childhood trauma and parental history of psychosis were included as a priori confounders. Exposures and confounders were added sequentially to multivariable logistic models, following multiple imputation for missing data., Results: Participants from any ethnic minority background had crude excess odds of psychosis [odds ratio (OR) 2.03, 95% confidence interval (CI) 1.69-2.43], which remained after adjustment for confounders (OR 1.61, 95% CI 1.31-1.98). This was progressively attenuated following further adjustment for social disadvantage (OR 1.52, 95% CI 1.22-1.89) and linguistic distance (OR 1.22, 95% CI 0.95-1.57), a pattern mirrored in several specific ethnic groups. Linguistic distance and social disadvantage had stronger effects for first- and later-generation groups, respectively., Conclusion: Social disadvantage and linguistic distance, two potential markers of sociocultural exclusion, were associated with increased odds of psychotic disorder, and adjusting for these led to equivocal risk between several ethnic minority groups and the white majority.

Background: Daily use of high-potency cannabis has been reported to carry a high risk for developing a psychotic disorder. However, the evidence is mixed on whether any pattern of cannabis use is associated with a particular symptomatology in first-episode psychosis (FEP) patients., Method: We analysed data from 901 FEP patients and 1235 controls recruited across six countries, as part of the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) study. We used item response modelling to estimate two bifactor models, which included general and specific dimensions of psychotic symptoms in patients and psychotic experiences in controls. The associations between these dimensions and cannabis use were evaluated using linear mixed-effects models analyses., Results: In patients, there was a linear relationship between the positive symptom dimension and the extent of lifetime exposure to cannabis, with daily users of high-potency cannabis having the highest score ( B = 0.35; 95% CI 0.14-0.56). Moreover, negative symptoms were more common among patients who never used cannabis compared with those with any pattern of use ( B = -0.22; 95% CI -0.37 to -0.07). In controls, psychotic experiences were associated with current use of cannabis but not with the extent of lifetime use. Neither patients nor controls presented differences in depressive dimension related to cannabis use., Conclusions: Our findings provide the first large-scale evidence that FEP patients with a history of daily use of high-potency cannabis present with more positive and less negative symptoms, compared with those who never used cannabis or used low-potency types.

Background: Perceived discrimination is associated with worse mental health. Few studies have assessed whether perceived discrimination (i) is associated with the risk of psychotic disorders and (ii) contributes to an increased risk among minority ethnic groups relative to the ethnic majority., Methods: We used data from the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions Work Package 2, a population-based case-control study of incident psychotic disorders in 17 catchment sites across six countries. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) for the associations between perceived discrimination and psychosis using mixed-effects logistic regression models. We used stratified and mediation analyses to explore differences for minority ethnic groups., Results: Reporting any perceived experience of major discrimination (e.g. unfair treatment by police, not getting hired) was higher in cases than controls (41.8% v. 34.2%). Pervasive experiences of discrimination (≥3 types) were also higher in cases than controls (11.3% v. 5.5%). In fully adjusted models, the odds of psychosis were 1.20 (95% CI 0.91-1.59) for any discrimination and 1.79 (95% CI 1.19-1.59) for pervasive discrimination compared with no discrimination. In stratified analyses, the magnitude of association for pervasive experiences of discrimination appeared stronger for minority ethnic groups (OR = 1.73, 95% CI 1.12-2.68) than the ethnic majority (OR = 1.42, 95% CI 0.65-3.10). In exploratory mediation analysis, pervasive discrimination minimally explained excess risk among minority ethnic groups (5.1%)., Conclusions: Pervasive experiences of discrimination are associated with slightly increased odds of psychotic disorders and may minimally help explain excess risk for minority ethnic groups.

Background: The 'jumping to conclusions' (JTC) bias is associated with both psychosis and general cognition but their relationship is unclear. In this study, we set out to clarify the relationship between the JTC bias, IQ, psychosis and polygenic liability to schizophrenia and IQ., Methods: A total of 817 first episode psychosis patients and 1294 population-based controls completed assessments of general intelligence (IQ), and JTC, and provided blood or saliva samples from which we extracted DNA and computed polygenic risk scores for IQ and schizophrenia., Results: The estimated proportion of the total effect of case/control differences on JTC mediated by IQ was 79%. Schizophrenia polygenic risk score was non-significantly associated with a higher number of beads drawn (B = 0.47, 95% CI -0.21 to 1.16, p = 0.17); whereas IQ PRS (B = 0.51, 95% CI 0.25-0.76, p < 0.001) significantly predicted the number of beads drawn, and was thus associated with reduced JTC bias. The JTC was more strongly associated with the higher level of psychotic-like experiences (PLEs) in controls, including after controlling for IQ (B = -1.7, 95% CI -2.8 to -0.5, p = 0.006), but did not relate to delusions in patients., Conclusions: Our findings suggest that the JTC reasoning bias in psychosis might not be a specific cognitive deficit but rather a manifestation or consequence, of general cognitive impairment. Whereas, in the general population, the JTC bias is related to PLEs, independent of IQ. The work has the potential to inform interventions targeting cognitive biases in early psychosis.

Introduction: 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., Hypothesis: 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., Methods: 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., Results: 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., Conclusions: 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.

Background: The value of the nosological distinction between non-affective and affective psychosis has frequently been challenged. We aimed to investigate the transdiagnostic dimensional structure and associated characteristics of psychopathology at First Episode Psychosis (FEP). Regardless of diagnostic categories, we expected that positive symptoms occurred more frequently in ethnic minority groups and in more densely populated environments, and that negative symptoms were associated with indices of neurodevelopmental impairment., Method: This study included 2182 FEP individuals recruited across six countries, as part of the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study. Symptom ratings were analysed using multidimensional item response modelling in Mplus to estimate five theory-based models of psychosis. We used multiple regression models to examine demographic and context factors associated with symptom dimensions., Results: A bifactor model, composed of one general factor and five specific dimensions of positive, negative, disorganization, manic and depressive symptoms, best-represented associations among ratings of psychotic symptoms. Positive symptoms were more common in ethnic minority groups. Urbanicity was associated with a higher score on the general factor. Men presented with more negative and less depressive symptoms than women. Early age-at-first-contact with psychiatric services was associated with higher scores on negative, disorganized, and manic symptom dimensions., Conclusions: Our results suggest that the bifactor model of psychopathology holds across diagnostic categories of non-affective and affective psychosis at FEP, and demographic and context determinants map onto general and specific symptom dimensions. These findings have implications for tailoring symptom-specific treatments and inform research into the mood-psychosis spectrum.