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Purpose: We aimed to explore the multidimensional nature of social inclusion (mSI) among patients diagnosed with schizophrenia spectrum disorder (SSD), and to identify the predictors of 3-year mSI and the mSI prediction using traditional and data-driven approaches. Methods: We used the baseline and 3-year follow-up data of 1119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) cohort in the Netherlands. The outcome mSI was defined as clusters derived from combined analyses of thirteen subscales from the Social Functioning Scale and the brief version of World Health Organization Quality of Life questionnaires through K-means clustering. Prediction models were built through multinomial logistic regression (ModelMLR) and random forest (ModelRF), internally validated via bootstrapping and compared by accuracy and the discriminability of mSI subgroups. Results: We identified five mSI subgroups: "very low (social functioning)/very low (quality of life)" (8.58%), "low/low" (12.87%), "high/low" (49.24%), "medium/high" (18.05%), and "high/high" (11.26%). The mSI was robustly predicted by a genetic predisposition for SSD, premorbid adjustment, positive, negative, and depressive symptoms, number of met needs, and baseline satisfaction with the environment and social life. The ModelRF (61.61% [54.90%, 68.01%]; P =0.013) was cautiously considered outperform the ModelMLR (59.16% [55.75%, 62.58%]; P =0.994). Conclusion: We introduced and distinguished meaningful subgroups of mSI, which were modestly predictable from baseline clinical characteristics. A possibility for early prediction of mSI at the clinical stage may unlock the potential for faster and more impactful social support that is specifically tailored to the unique characteristics of the mSI subgroup to which a given patient belongs. [ABSTRACT FROM AUTHOR]

Background Social cognitive impairment is a recognized feature of psychotic disorders. However, potential age-related differences in social cognitive impairment have rarely been studied. Study Design Data came from 905 individuals with a psychotic disorder, 966 unaffected siblings, and 544 never-psychotic controls aged 18–55 who participated in the Genetic Risk and Outcome of Psychosis (GROUP) study. Multilevel linear models were fitted to study group main effects and the interaction between group and age on emotion perception and processing (EPP; degraded facial affect recognition) and theory of mind (ToM; hinting task) performance. Age-related differences in the association between socio-demographic and clinical factors, and EPP and ToM were also explored. Study Results Across groups, EPP performance was associated with age (β = −0.02, z = −7.60, 95% CI: −0.02, −0.01, P <.001), with older participants performing worse than younger ones. A significant group-by-age interaction on ToM (X 2(2) = 13.15, P =.001) indicated that older patients performed better than younger ones, while no age-related difference in performance was apparent among siblings and controls. In patients, the association between negative symptoms and ToM was stronger for younger than older patients (z = 2.16, P =.03). Conclusions The findings point to different age-related performance patterns on tests of 2 key social cognitive domains. ToM performance was better in older individuals, although this effect was only observed for patients. EPP was less accurate in older compared with younger individuals. These findings have implications with respect to when social cognitive training should be offered to patients. [ABSTRACT FROM AUTHOR]

Objective: People at ultra-high risk (UHR) for psychosis have a high prevalence of tobacco smoking, and rates are even higher among the subgroup that later develop a psychotic disorder. However, the longitudinal relationship between the course of tobacco smoking and clinical outcomes in UHR subjects is unknown. Methods: We investigated associations between tobacco smoking and clinical outcomes in a prospective study of UHR individuals (n = 324). Latent class mixed model analyses were used to identify trajectories of smoking severity. Mixed effects models were applied to investigate associations between smoking trajectory class and the course of attenuated psychotic symptoms (APS) and affective symptoms, as assessed using the CAARMS. Results: We identified four different classes of smoking trajectory: (i) Persistently High (n = 110), (ii) Decreasing (n = 29), (iii) Persistently Low (n = 165) and (iv) Increasing (n = 20). At two-year follow-up, there had been a greater increase in APS in the Persistently High class than for both the Persistently Low (ES = 9.77, SE = 4.87, p = 0.046) and Decreasing (ES = 18.18, SE = 7.61, p = 0.018) classes. There were no differences between smoking classes in the incidence of psychosis. There was a greater reduction in the severity of emotional disturbance and general symptoms in the Decreasing class than in the High (ES = -10.40, SE = 3.41, p = 0.003; ES = -22.36, SE = 10.07, p = 0.027), Increasing (ES = -11.35, SE = 4.55, p = 0.014; ES = -25.58, SE = 13.17, p = 0.050) and Low (ES = -11.38, SE = 3.29, p = 0.001; ES = -27.55, SE = 9.78, p = 0.005) classes, respectively. Conclusions: These findings suggests that in UHR subjects persistent tobacco smoking is associated with an unfavorable course of psychotic symptoms, whereas decrease in the number of cigarettes smoked is associated with improvement in affective symptoms. Future research into smoking cessation interventions in the early stages of psychoses is required to shine light on the potential of modifying smoking behavior and its relation to clinical outcomes. [ABSTRACT FROM AUTHOR]

Background and hypothesis Recovery from psychosis is a complex phenomenon determined by an array of variables mutually impacting each other in a manner that is not fully understood. The aim of this study is to perform an approximated replication of a previous network analysis study investigating how different clinical aspects—covering psychopathology, cognition, personal resources, functional capacity, and real-life functioning—are interrelated in the context of schizophrenia-spectrum disorders. Study design A sample of 843 subjects from a multisite cohort study, with the diagnosis of a schizophrenia-spectrum disorder, was used to estimate a network comprising 27 variables. The connectivity and relative importance of the variables was examined through network analysis. We used a quantitative and qualitative approach to infer replication quality. Study results Functional capacity and real-life functioning were central and bridged different domains of the network, in line with the replicated study. Neurocognition, interpersonal relationships, and avolition were also key elements of the network, in close relation to aspects of functioning. Despite significant methodological differences, the current study could substantially replicate previous findings. Conclusions Results solidify the network analysis approach in the context of mental disorders and further inform future studies about key variables in the context of recovery from psychotic disorders. [ABSTRACT FROM AUTHOR]

Background: The prevalence of psychotic experiences (PEs) is higher in low-and-middle-income-countries (LAMIC) than in high-income countries (HIC). Here, we examine whether this effect is explicable by measurement bias. Methods: A community sample from 13 countries (N = 7141) was used to examine the measurement invariance (MI) of a frequently used self-report measure of PEs, the Community Assessment of Psychic Experiences (CAPE), in LAMIC (n = 2472) and HIC (n = 4669). The CAPE measures positive (e.g. hallucinations), negative (e.g. avolition) and depressive symptoms. MI analyses were conducted with multiple-group confirmatory factor analyses. Results: MI analyses showed similarities in the structure and understanding of the CAPE factors between LAMIC and HIC. Partial scalar invariance was found, allowing for latent score comparisons. Residual invariance was not found, indicating that sum score comparisons are biased. A comparison of latent scores before and after MI adjustment showed both overestimation (e.g. avolition, d = 0.03 into d = −0.42) and underestimation (e.g. magical thinking, d = −0.03 into d = 0.33) of PE in LAMIC relative to HIC. After adjusting the CAPE for MI, participants from LAMIC reported significantly higher levels on most CAPE factors but a significantly lower level of avolition. Conclusion: Previous studies using sum scores to compare differences across countries are likely to be biased. The direction of the bias involves both over- and underestimation of PEs in LAMIC compared to HIC. Nevertheless, the study confirms the basic finding that PEs are more frequent in LAMIC than in HIC. [ABSTRACT FROM AUTHOR]

Background: Substance use is overrepresented in patients with psychosis. Maladaptive coping has been proposed as one of the mechanisms which might underlie this high prevalence. Patients are known to apply more maladaptive coping compared to the healthy population. However, it is unknown whether coping is associated with the use of different substances across those with different vulnerability for psychosis, and whether coping mediates the possible association between life events and substance use.Methods: In this multicenter, cohort study, 429 patients, 504 siblings, and 220 controls were included. We determined whether coping was associated with tobacco smoking, cannabis use, or alcohol consumption. Multivariable logistic regression models were applied whilst correcting for potential confounders. We performed post-hoc analyses to explore the association between negative life events, tobacco smoking, and the role of coping as a mediator in patients with psychosis.Results: A positive association was found in patients between passive coping and tobacco smoking (fully adjusted OR 1.65, 95% CI 1.18-2.31). Tobacco smoking patients experienced more negative life events compared to non-smoking patients and passive coping mediated this association. In siblings and controls, none of the coping strategies were associated with substance use.Conclusions: The coping style of patients with psychosis is associated with tobacco smoking and mediates the association between negative events and tobacco smoking. No significant associations were found in siblings, controls or concerning other substance use. Future research is required to examine whether enhancing healthy coping strategies decreases tobacco use in patients with psychosis. [ABSTRACT FROM AUTHOR]

Psychotic and autistic symptoms are related to social functioning in individuals with psychotic disorders (PD). The present study used a network approach to (1) evaluate the interactions between autistic symptoms, psychotic symptoms, and social functioning, and (2) investigate whether relations are similar in individuals with and without PD. We estimated an undirected network model in a sample of 504 PD, 572 familial risk for psychosis (FR), and 337 typical comparisons (TC), with a mean age of 34.9 years. Symptoms were assessed with the Autism Spectrum Quotient (AQ; 5 nodes) and the Community Assessment of Psychic Experiences (CAPE; 9 nodes). Social functioning was measured with the Social Functioning Scale (SFS; 7 nodes). We identified statistically significant differences between the FR and PD samples in global strength (P <.001) and network structure (P <.001). Our results show autistic symptoms (social interaction nodes) are negatively and more closely related to social functioning (withdrawal, interpersonal behavior) than psychotic symptoms. More and stronger connections between nodes were observed for the PD network than for FR and TC networks, while the latter 2 were similar in density (P =.11) and network structure (P =.19). The most central items in strength for PD were bizarre experiences , social skills , and paranoia. In conclusion, specific autistic symptoms are negatively associated with social functioning across the psychosis spectrum, but in the PD network symptoms may reinforce each other more easily. These findings emphasize the need for increased clinical awareness of comorbid autistic symptoms in psychotic individuals. [ABSTRACT FROM AUTHOR]

Introduction Diagnoses of anxiety and/or depression are common in subjects at Ultra-High Risk for Psychosis (UHR) and associated with extensive functional impairment. Less is known about the impact of affective comorbidities on the prospective course of attenuated psychotic symptoms (APS). Method Latent class mixed modelling identified APS trajectories in 331 UHR subjects assessed at baseline, 6, 12, and 24 months follow-up. The prognostic value of past, baseline, and one-year DSM-IV depressive or anxiety disorders on trajectories was investigated using logistic regression, controlling for confounders. Cox proportional hazard analyses investigated associations with transition risk. Results 46.8% of participants fulfilled the criteria for a past depressive disorder, 33.2% at baseline, and 15.1% at one-year follow-up. Any past, baseline, or one-year anxiety disorder was diagnosed in 42.9%, 37.2%, and 27.0%, respectively. Participants were classified into one of three latent APS trajectory groups: (1) persistently low, (2) increasing, and (3) decreasing. Past depression was associated with a higher risk of belonging to the increasing trajectory group, compared to the persistently low (OR = 3.149, [95%CI: 1.298–7.642]) or decreasing group (OR = 3.137, [1.165–8.450]). In contrast, past (OR =.443, [.179–1.094]) or current (OR =.414, [.156–1.094]) anxiety disorders showed a trend-level association with a lower risk of belonging to the increasing group compared to the persistently low group. Past depression was significantly associated with a higher risk of transitioning to psychosis (HR = 2.123, [1.178–3.828]). Conclusion A past depressive episode might be a particularly relevant risk factor for an unfavorable course of APS in UHR individuals. Early affective disturbances may be used to advance detection, prognostic, and clinical strategies. [ABSTRACT FROM AUTHOR]

Background: The high prevalence rates and impact of tobacco smoking in individuals with a psychotic disorder have become an increasing interest. Little is known about tobacco smoking in individuals at ultra-high risk of psychosis (UHR).Methods: We studied 345 UHR individuals of the high-risk study of the European network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI). Smoking status and the number of cigarettes per day were assessed at multiple moments using the CIDI. Symptom severity at each time point was assessed using CAARMS. Linear mixed-effects analyses were conducted to examine the multi-cross-sectional and prospective associations between (change in) smoking behaviour and symptomatology.Findings: At baseline, 175 individuals (53%) smoked tobacco with an average of 12.4 (SD = 9.0) cigarettes per day. Smokers did not significantly differ in symptom severity from non-smokers on general, positive, negative, emotional, cognitive, behavioural, or motor symptoms across time. However, associations were found between the number of cigarettes and the severity of general psychopathology (estimate 0.349, SE 0.146, p = 0.017). Change in the number of cigarettes had no significant effect on change in general symptom severity (estimate 0.330, SE 0.285, p = 0.248).Interpretation: Smoking prevalence in UHR individuals is high. Cigarette consumption was associated with higher levels of general symptoms. However, we observed no association between change in number of cigarettes and symptom severity. Given the fact that smoking is associated with poorer health and worse outcomes in people with psychosis, the clinical high-risk phase offers a window of opportunity for prevention and cessation interventions. [ABSTRACT FROM AUTHOR]

Background: Prevalence estimates of autistic traits in individuals with psychotic disorders (PD) vary greatly and it is unclear whether individuals with a familial risk (FR) for psychosis have an increased propensity to display autistic traits. Furthermore, it is unknown whether the presence of comorbid autism traits disproportionally affects the cognitive and behavioral aspects of social functioning in PD. Methods: In total, 504 individuals with PD, 587 unaffected siblings with FR, and 337 typical comparison (TC) individuals (16–50 years) were included. Autistic and psychotic traits were measured with the Autism Spectrum Quotient (AQ) and the Community Assessment of Psychic Experiences (CAPE). Social cognition was assessed with the Picture Sequencing Task (PST) and social behavior with the Social Functioning Scale (SFS). Results: For PD 6.5% scored above AQ clinical cut-off (⩾32), 1.0% for FR, and 1.2% for TC. After accounting for age, sex, and IQ, the PD group showed significantly more autistic traits and alterations in social behavior and cognition, while FR and TC only displayed marginal differences. Within the PD group autistic traits were a robust predictor of social behavior and there were no interactions with positive psychotic symptoms. Conclusions: Levels of autistic traits are substantially elevated in PD and have a profoundly negative association with social functioning. In contrast, autistic traits above the clinical cut-off are not elevated in those with FR, and only marginally on a dimensional level. These findings warrant specific clinical guidelines for psychotic patients who present themselves with autistic comorbidity to help address their social needs. [ABSTRACT FROM AUTHOR]

Background. The high prevalence of smoking in individuals who are at ultra-high risk (UHR) for psychosis is well known and moderate cognitive deficits have also been found in UHR. However, the association between smoking and cognition in UHR is unknown and longitudinal studies are lacking. Method. A cohort study with 330 UHR individuals and 66 controls was conducted, as part of the European network of national schizophrenia networks studying gene-environment interactions (EU-GEI). At baseline and after 6, 12, and 24 months, smoking behavior was assessed with the Composite International Diagnostic Interview and cognitive functioning with a comprehensive test battery. Linear mixed-effects analyses were used to examine the multicross-sectional and prospective associations between (change in) smoking behavior and cognitive functioning, accounting for confounding variables. Results. At baseline, 53% of UHR and 27% of controls smoked tobacco. Smoking UHR and controls did not significantly differ from nonsmoking counterparts on the tested cognitive domains (speed of processing, attention/vigilance, working memory, verbal learning, or reasoning/problem solving) across different assessment times. Neither smoking cessation nor initiation was associated with a significant change in cognitive functioning in UHR. Conclusions. No associations were found between smoking and cognitive impairment in UHR nor in controls. However, the fact that one in every two UHR individuals report daily use of tobacco is alarming. Our data suggest that UHR have fewer cognitive impairments and higher smoking cessation rates compared to patients with first-episode psychosis found in literature. Implications to promote smoking cessation in the UHR stage need further investigation. [ABSTRACT FROM AUTHOR]

Obsessive-compulsive symptoms (OCS) are frequently reported in patients with schizophrenia and have been associated with subjective distress and higher impairment. Recent studies suggest fluctuation in co-occurring OCS and associations with the course of psychotic symptoms. Current evidence is limited by few studies with long assessments intervals and a sole focus on between-subject comparisons. The aim of this study was to specifically investigate co-variation of symptom domains over time within individuals. Patients with a psychotic disorder (n = 56) and un-affected siblings (n = 49) completed monthly assessments of clinical and subclinical symptoms over 6 months. Mixed-model multilevel analyses examined the variability and relationship between OCS and positive, negative, and depressive symptoms on the between- and within-subject level. Symptom domains were associated across subjects and assessment times, in patients and siblings, with the strongest association between OCS and (subclinical) positive symptoms. Within-subjects, substantial variability and co-variation of all symptom domains was found. Particularly, between-subject differences in positive symptoms and within-subject change in depressive symptoms predicted subsequent OCS in patients 1 months later. This is the first prospective study disaggregating between and within-subject associations between co-occurring OCS and symptom cluster of psychosis. Differences on these two levels suggest different underlying mechanisms. The association between depressive symptoms and subsequent increase/decrease of OCS within patients may have important treatment implications. [ABSTRACT FROM AUTHOR]

Objective: Negative symptoms largely account for poor outcome in psychotic disorders but remain difficult to treat. A cognitive-behavioral approach to these symptoms showed promise in chronic schizophrenia patients. We explored whether a combination of group and individual treatment focused on social activation (CBTsa) could benefit patients recently diagnosed with a psychotic disorder. Method: A single-blind randomized controlled trial enrolled 99 participants recently diagnosed with schizophrenia or a related disorder that received treatment as usual (TAU; n = 50), or TAU plus CBTsa (n = 49). Negative symptoms (Brief Negative Symptom Scale) and social withdrawal (Posidve and Negative Syndrome Scale) were primary outcomes. Secondary outcome measures included dysfunctional beliefs (Dysfunctional Attitudes Scale-Defeatist Performance Attitude), stigma Internalized Stigma of Mental Illness Scale (ISMIS), and symptom severity and functioning as measured with the Global Assessment of Functioning (GAF). Outcomes were compared directly posttreatment and at follow-up (6 months posttreatment). Results: Intention-to-treat analyses showed significant improvement in GAF symptoms (p = .02, d = 0.36) and a decrease in negative symptoms on trend level (p = .08, d = -0.29) in CBTsa compared to TAU at posttreatment. These group differences were no longer apparent at 6 months follow-up. Social withdrawal and negative symptoms improved over time in both conditions. Conclusions: The current trial showed small positive effects on symptom severity posttreatment but did not demonstrate maintenance of longer-term effects in favor of the CBTsa group. Findings suggest that the treatment duration may have been too short to change dysfunctional beliefs, a potentially important maintaining factor of negative symptom severity. Longer intervention periods in later, more stable stages of the illness when intensive standard treatment has tapered off may yield more beneficial effects. [ABSTRACT FROM AUTHOR]

Background: Clinical recovery is often defined as remission of symptoms. Personal recovery is described as growing beyond the catastrophic effects of mental illness, sometimes despite ongoing symptoms. Aims: To examine the relationship between the severity of clinical symptom domains and personal recovery in patients with severe mental illness (SMI). Methods: Symptom severity and personal recovery of 105 outpatients with SMI at Mentrum, part of Arkin Institute for Mental Health in Amsterdam, the Netherlands, were assessed using the Brief Psychiatric Rating Scale–Expanded Version (BPRS-E) and the Mental Health Recovery Measure (MHRM). Correlation and regression analyses were used to investigate the associations. Results: The multiple regression analysis showed that only affective symptoms significantly predicted personal recovery, whereas neither positive nor negative symptom severity added to the explained variance in the model. Conclusion: The association between affective symptoms and personal recovery in patients with SMI implies that treatment of affective symptoms may advance personal recovery, and/or support of personal recovery may improve mood, whereas focussing on treatment of psychotic symptoms might not be the key to personal recovery. More research is needed to elucidate causal interrelations. [ABSTRACT FROM AUTHOR]

Patients describe experiencing personal recovery despite ongoing symptoms of psychosis. The aim of the current research was to perform a meta-analysis investigating the relationship between clinical and personal recovery in patients with schizophrenia spectrum disorders. A comprehensive OvidSP database search was performed to identify relevant studies. Correlation coefficients of the relationship between clinical and personal recovery were retrieved from primary studies. Meta-analyses were performed, calculating mean weighted effect sizes for the association between clinical and personal recovery, hope, and empowerment. Additionally, associations between positive, negative, affective symptoms, general functioning, and personal recovery were investigated. The results show that heterogeneity across studies was substantial. Random effect meta-analysis of the relationship between symptom severity and personal recovery revealed a mean weighted correlation coefficient of r = -.21 (95% CI = -0.27 to -0.14, P < .001). We found the following mean weighted effect size for positive symptoms r = -.20 (95% CI = -0.27 to -0.12, P < .001), negative symptoms r = -.24 (95% CI = -0.33 to -0.15, P < .001), affective symptoms r = -.34 (95% CI = -0.44 to -0.24, P < .001) and functioning r = .21 (95% CI = -0.09 to 0.32, P < .001). The results indicate a significant small to medium association between clinical and personal recovery. Psychotic symptoms show a smaller correlation than affective symptoms with personal recovery. These findings suggest that clinical and personal recovery should both be considered in treatment and outcome monitoring of patients with schizophrenia spectrum disorders. [ABSTRACT FROM AUTHOR]

Various studies reported remarkably high prevalence rates of obsessive-compulsive symptoms (OCS) in patients with a psychotic disorder. Little is known about the pathogenesis of this co-occurrence. The current study aimed to investigate the contribution of shared underlying risk factors, such as childhood trauma and neuroticism, to the onset and course of OCS in patients with psychosis. Data were retrieved from 161 patients with psychosis included in the ‘Genetic Risk and Outcome in Psychosis’ project. Patients completed measures of OCS and psychotic symptoms at study entrance and three years later. Additionally, childhood maltreatment and neuroticism were assessed. Between-group comparisons revealed increased neuroticism and positive symptoms in patients who reported comorbid OCS compared to OCS-free patients. Subsequent mediation analyses suggested a small effect of childhood abuse on comorbid OCS severity at baseline, which was mediated by positive symptom severity. Additionally, results showed a mediating effect of neuroticism as well as a moderating effect of positive symptoms on the course of OCS severity over time. OCS severity in patients with psychosis might thus be associated with common vulnerability factors, such as childhood abuse and neuroticism. Furthermore, the severity of positive symptoms might be associated with more severe or persistent comorbid OCS. [ABSTRACT FROM AUTHOR]

High rates of obsessive–compulsive symptoms (OCS) in schizophrenia require pathogenic explanations. Personality traits may represent risk and resiliency factors for the development of mental disorders and their comorbidities. The aim of the present study was to explore the associations between Five-Factor Model (FFM) personality traits and the liability for OCS in patients with psychotic disorders and in their un-affected siblings. FFM traits, occurrence and severity of OCS and (subclinical) psychotic symptoms were assessed in 208 patients and in 281 siblings. Differences in FFM traits between participants with vs. without comorbid OCS were examined and the predictive value of FFM traits on group categorization was evaluated. Associations between FFM traits and OCS severity were investigated. Patients and siblings with OCS showed significantly higher Neuroticism compared to their counterparts without OCS. Neuroticism was positively associated with higher OCS severity and significantly predicted group assignment in both patients and in siblings. Patients with comorbid OCS presented with lower scores on Extraversion and Conscientiousness. Higher Neuroticism, and to a lesser degree lower Extraversion and Conscientiousness might add to the vulnerability of patients with a psychotic disorder to also develop OCS. Future prospective studies are needed to elucidate proposed personality–psychopathology interrelations and possible mediating factors. [ABSTRACT FROM AUTHOR]

Background: Amongst schizophrenia patients, a large subgroup of up to 25% also suffers from comorbid obsessive-compulsive symptoms (OCSs). The association between comorbid OCSs in these patients and neuropsychological impairment remains unclear and somewhat contradictory. Longitudinal approaches investigating the stability of OCS-associated cognitive deficits are missing. Methods: Thirty-seven patients with schizophrenia and comorbid OCSs and 43 schizophrenia patients without OCS were assessed with a comprehensive cognitive test battery and compared at baseline and, again, 12 months later. Results: Schizophrenia patients with comorbid OCSs showed significant pronounced deficits, with increasing effect sizes over the 12-month assessment period in specific cognitive areas such as visuospatial perception and visual memory (WAIS-R block design, Rey–Osterrieth Complex Figure Test), executive functioning (perseveration in the Wisconsin Card Sorting test), and cognitive flexibility (Trail Making test B). These cognitive domains are correlated with OCS severity and are known to be candidate cognitive domains in obsessive-compulsive disorder (OCD). Conclusions: OCSs in schizophrenia is associated with specific and longitudinally stable cognitive deficits, strongly arguing for at least partially overlapping neurobiological mechanisms with OCD. Prospective studies involving patients with at-risk mental states for psychosis are necessary to decipher the interaction of cognitive impairment and the clinical manifestations of schizophrenia and OCSs. This might facilitate the definition of patients at high risk for OCSs, an early detection of subclinical levels, therapeutic interventions, and clinical monitoring. [ABSTRACT FROM PUBLISHER]

This study examined the influence of personality traits on (subclinical) positive symptom distress in patients with a psychotic disorder, their unaffected siblings and healthy controls. Data were obtained from the Genetic Risk and Outcome of Psychosis study (GROUP), a Dutch longitudinal multicenter cohort study. Data from 140 patients, 216 unaffected siblings and 102 healthy controls was available for baseline levels of Five Factor Model personality traits and frequency and distress due to psychotic experiences three years later, assessed with the Community Assessment of Psychic Experience questionnaire. Main effects of all five personality traits on symptom distress were investigated as well as moderating effects of Neuroticism, Extraversion and Openness on positive symptom frequency and positive symptom distress. Age, gender, symptom frequency and IQ were controlled for. In both patients and siblings, the observed main effects of Neuroticism and Openness on (subclinical) positive symptom distress three years later either lost significance or had a very small effect size when controlling for covariates, mainly due to the correction for the effect of positive symptoms on personality traits at baseline. In both groups, levels of Openness at baseline moderated the association between positive symptom frequency and positive symptom distress three years later, in the direction that higher levels of Openness were associated with weaker associations between positive symptom frequency and - distress, even when covariates were controlled for. The level of Openness to Experiences influences the perceived distress from (subclinical) positive symptoms in both patients and siblings. [ABSTRACT FROM AUTHOR]

Background: Reports on the relationship between clinical insight and psychotic symptoms have shown inconsistent results, and the association between clinical insight and personality has rarely been addressed. The aim of this study was to examine whether personality is correlated cross-sectionally with insight level, and longitudinally with change in insight, beyond symptoms.Methods: Participants were a sub-sample of the Dutch Genetic Risk and Outcome of Psychosis (GROUP) project. Two hundred and eleven participants diagnosed with non-affective psychotic disorders took part in the cross-sectional part of the study, of whom 136 took part in the three-year follow-up assessment. They were administered with self-report Birchwood insight scale and NEO-Five Factor Inventory, and clinicians assessed them according to PANSS and CDS symptoms scales.Results: Cross-sectional analysis showed baseline self-report insight was positively related to neuroticism and agreeableness and negatively related to extraversion. Longitudinal analysis showed change in level of self-reported insight was predicted by baseline-insight and change in symptoms of disorganization. Personality factors did not predict insight change (as measured either by self-report or by clinician assessment).Discussion: The cross-sectional findings showed self-report insight (as opposed to clinician-rated) is associated with personality traits, suggesting negative affect is related to higher level of insight and that having insight may be influenced by the wish to comply with views of professionals, or a tendency to cover up problems. The longitudinal findings imply that not personality but change in severity of symptoms of disorganization, and possibly other variables, predicts change in insight. [ABSTRACT FROM AUTHOR]

Personal recovery transcends illness and is a unifying human experience. Core elements in personal recovery are hope, meaning, and rebuilding oneself. Here we aim to investigate whether factors associated with personal recovery in patients with non-affective psychosis, unaffected siblings and healthy controls are similar. We investigated the association between personal recovery and resilience, social support, socio-demographic and illness-related variables in 580 patients, 630 siblings, and 351 healthy controls who participated in the Genetic Risk and Outcome of Psychosis (GROUP) study. Bi-variate associations between personal recovery and individual variables were assessed and multiple linear regression analyses were performed to estimate the proportion of variance in personal recovery that could be accounted for by the predictors and to investigate which predictors independently added to the model. Positive self was significantly and independently associated with personal recovery in all three groups. Pro-active action taking also seems to be important. Social functioning significantly contributed to explained variance in patients and siblings. Regarding illness-related factors, depressive symptoms had impact on personal recovery in both patients and siblings, whereas positive symptoms only did in siblings. The findings imply that not only personal recovery itself, but also some associated factors are universally human and suit us all. This means that patients and non-patients share supportive factors of personal recovery which may help to reach mutual understanding. Recovery-oriented practices and mental health services might be more effective when focusing also on improving self-image, functional coping styles and generating social interaction, next to the reduction of affective symptoms. [ABSTRACT FROM AUTHOR]

In patients with psychotic disorders, insecure attachment styles and impaired social functioning are highly prevalent. Our aim was to explore the multi-cross-sectional and longitudinal associations between attachment style and social functioning. This study was performed in a subsample of 119 patients with non-affective psychotic disorders, 128 unaffected siblings and 66 healthy controls within the Genetic Risk and Outcome of Psychosis (GROUP) Study. Attachment style (using the Psychosis Attachment Measure) and three social functioning domains, namely withdrawal, interpersonal behaviour and pro-social activities as measured with the Social Functioning Scale (SFS) were assessed on two moments in time. Generalized linear mixed models and linear regression models were used. Bonferroni correction for multiple testing was applied. In the patient group, a significant negative association was found between avoidant attachment and pro-social functioning. In the sibling and control group, we found significant negative associations between avoidant attachment and the social functioning domains withdrawal and interpersonal behaviour. We also found a significant negative association between anxious attachment and the social functioning domain withdrawal in siblings. Higher levels of insecure anxious attachment at baseline predicted a reduction of the social functioning domain interpersonal behaviour in siblings over a period of three years on a trend level. Findings indicate that levels of insecure attachment are elevated in patients with psychotic disorders and have a negative association with social functioning in both patients, siblings and controls. These findings warrant specific attention for attachment style in the treatment of patients with psychotic disorders and individuals with an increased vulnerability for developing psychosis. [ABSTRACT FROM AUTHOR]

It is unknown how smoking behavior polygenic scores (PRS) relate to psychosis and psychotic symptoms. To elucidate this, genotype and phenotype data were collected from patients with schizophrenia, their unaffected siblings, and healthy controls in a six-year follow-up prospective cohort study. Associations between smoking behaviors, PRS and schizophrenia symptoms were explored using linear mixed-effect models. The mean number of cigarettes smoked per day were 18 for patients, 13 for siblings and 12 for controls. In the overall sample, PRSs-smoking initiation (i.e., ever smoking as a binary phenotype, PRS-SI) were positively associated with positive symptoms, negative symptoms, and depressive symptoms, whereas PRSs-AI (age at regular smoking initiation) were negatively associated with all symptom dimensions, with similar effect sizes. When considering groups separately, PRS were only associated with psychotic symptoms in siblings and controls. In conclusion, unaffected siblings show smoking behaviors at an intermediate level between patients and healthy controls. Additionally, PRS-SI and PRS-AI are associated with all symptom dimensions only in unaffected siblings and healthy controls, possibly owing to the dominant role of other (genetic) risk factors in patients. Future studies may examine mechanisms via which genetic risk for smoking affects mental health symptoms. [ABSTRACT FROM AUTHOR]

Abstract: Background: Premorbid adjustment (PMA) in schizophrenia (SZ) has been widely studied and shown to be worse in individuals who develop SZ as compared to controls. It has been proposed as a predictor of clinical presentation and outcome, and may delineate a specific SZ phenotype for genetic and other biological studies. Research into PMA in BD has been scarce and inconclusive. Aims: The authors compared PMA in individuals suffering from BD with that of healthy controls and investigated whether levels of PMA in BD patients correlate with specific phenotypic features. Methods: The authors investigated 344 BD patients and 137 population-based controls. Retrospective PMA assessment was performed using the Premorbid Adjustment Scale (PAS). An overall score as well as sub-scores for age ranges and functional domains were obtained. Results: Patients had a better overall PAS score than controls and outperformed controls during early and late adolescence. They scored significantly better than controls in the functional domains “sociability and withdrawal” and “adaptation to school”. No differences were observed for the other subscales and there were no differences between groups during childhood. No association was observed between PMA and any of the phenotype characteristics investigated. Conclusions: In the largest study to date on PMA in BD, PMA was shown to be better in bipolar patients than in healthy controls. PMA in BD is not a simple proxy for commonly studied phenotypic markers of severity. PMA emerges as a phenotype in its own right, and highlights an aspect of disparity rather than overlap between SZ and BD. [Copyright &y& Elsevier]