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Background: Childhood adversities and traumata (CAT) increase the risk for various mental disorders, including the clinical high-risk of psychosis (CHR-P) state and its main comorbidities, i.e., depression, and social phobia. However, these relations are likely mediated by personal coping behaviors. This cross-sectional study investigates the relationships between the main CAT domains, coping, CHR-P, depression, and social phobia. Methods: Using path analyses, we analyzed data of 736 patients (mean age 24 years, 67% male) who presented at an early detection service between 2002 and 2013, answered questionnaires on CAT, coping, depressiveness, and social phobia, and underwent clinical examination for CHR-P according to the recommendations of the Guidance project of the European Psychiatric Association. Results: All path models (total sample, males and females) showed good to excellent fit to the data. In all models, higher scores on maladaptive coping mediated the negative effect of emotional abuse on mental health outcomes. Additionally, in the total sample and males, lower scores on adaptive coping mediated the negative effect of emotional abuse and neglect, and physical neglect was associated with lower scores on adaptive coping that, in turn, were linked to depression and social phobia but not CHR-P. Overall, effects of maladaptive coping were higher than those of adaptive coping, although adaptive coping was more diversely associated with CAT. Furthermore, the interrelated depression and social phobia were more widely explained by the models than CHR-P, which was not significantly associated with them. Conclusions: Our findings underscore the complex interplay of the CAT domains and their relevant mediators with mental health outcomes that likely reflect underlying sex-specific psychological, social, cultural and neurobiological mechanisms. Supporting a broader view on CAT than the traditional focus on sexual abuse, results indicate an important role of emotional abuse that, descriptively, is most strongly mediated by maladaptive coping strategies on mental health outcomes. A detailed understanding of the effects of CAT will in future help to develop a multi-dimensional, holistic and sex-specific approach to the treatment of patients who have experienced CAT. Trial registration: The study was registered in the German Clinical Trial Register (https://drks.de/) as DRKS00024469 at 02/24/2021. [ABSTRACT FROM AUTHOR]

Background and Hypothesis Exercise therapy has been shown to be an effective complementary treatment for patients with psychotic disorders. However, the specific impacts of different training modalities remain poorly understood. This article aims to quantitatively review the moderating influence of different exercise modalities, hypothesizing that higher exercise intensity as well as utilization of mindfulness-based exercise (MBE) components, will improve intervention outcomes. Study Design PubMed, Web of Science, and PsycINFO were searched from 2010 to March 2022 for randomized controlled trials investigating exercise interventions in patients with psychotic disorders (preregistration: https://doi.org/10.17605/OSF.IO/J8QNS). Outcomes considered were positive/negative symptoms, Positive and Negative Syndrome Scale (PANSS) General Psychopathology/Total scores, depressive symptoms, psychosocial functioning, quality of life, cardiorespiratory fitness, and body mass index. Separate meta-analyses, including moderator analyses, were performed to evaluate the moderating influence of different training modalities. Study Results Of 6653 studies, 40 (n  = 2111 patients) were included in the meta-analysis. The effects of moderate-intensity exercise exceed low-intensity approaches for PANSS Total scores (P  = .02) and depressive symptoms (P  = .04). The presence of MBE components was associated with improvements in positive symptoms (P  = .04) and PANSS General Psychopathology subscores (P  = .04) but also with higher error and between-study heterogeneity. Our analysis also shows improved intervention effects on depression in younger patients (P  = .012) and improved psychosocial functioning scores following more frequent sessions (P  < .01). Conclusions A minimum of moderate intensity should be considered. More frequent training sessions per week also seem to be beneficial. While adding mindfulness elements is promising, it increases heterogeneity and requires caution in terms of generalization. [ABSTRACT FROM AUTHOR]

Introduction: The Attenuated Psychosis Symptoms (APS) syndrome mostly represents the ultra-high-risk state of psychosis but, as does the Brief Intermittent Psychotic Symptoms (BIPS) syndrome, shows a large variance in conversion rates. Thismay be due to the heterogeneity of APS/BIPS thatmay be related to the effects of culture, sex, age, and other psychiatric morbidities. Thus, we investigated the different thematic contents of APS and their association with sex, age, country, religion, comorbidity, and functioning to gain a better understanding of the psychosis-risk syndrome. Method: A sample of 232 clinical high-risk subjects according to the ultra-high risk and basic symptom criteria was recruited as part of a European study conducted in Germany, Italy, Switzerland, and Finland. Case vignettes, originally used for supervision of inclusion criteria, were investigated for APS/BIPS contents, which were compared for sex, age, country, religion, functioning, and comorbidities using chi-squared tests and regression analyses. Result: We extracted 109 different contents, mainly of APS (96.8%): 63 delusional, 29 hallucinatory, and 17 speech-disorganized contents. Only 20 contents (18.3%) were present in at least 5% of the sample, with paranoid and referential ideas being the most frequent. Thirty-one (28.5%) contents, in particular, bizarre ideas and perceptual abnormalities, demonstrated an association with age, country, comorbidity, or functioning, with regression models of country and obsessive-compulsive disorders explainingmost of the variance: 55.8 and 38.3%, respectively. Contents did not differ between religious groups. Conclusion: Psychosis-risk patients report a wide range of different contents of APS/BIPS, underlining the psychopathological heterogeneity of this group but also revealing a potential core set of contents. Compared to earlier reports on North-American samples, our maximum prevalence rates of contents were considerably lower; this likely being related to a stricter rating of APS/BIPS and cultural influences, in particular, higher schizotypy reported in North-America. The various associations of some APS/BIPS contents with country, age, comorbidities, and functioning might moderate their clinical severity and, consequently, the related risk for psychosis and/or persistent functional disability. [ABSTRACT FROM AUTHOR]

Summary: Personalised prediction of functional outcomes is a promising approach for targeted early intervention in psychiatry. However, generalisability and resource efficiency of such prognostic models represent challenges. In the PRONIA study (German Clinical Trials Register: DRKS00005042), we demonstrate excellent generalisability of prognostic models in individuals at clinical high-risk for psychosis or with recent-onset depression, and substantial contributions of detailed clinical phenotyping, particularly to the prediction of role functioning. These results indicate that it is possible that functioning prediction models based only on clinical data could be effectively applied in diverse healthcare settings, so that neuroimaging data may not be needed at early assessment stages. [ABSTRACT FROM AUTHOR]

Importance: Approaches are needed to stratify individuals in early psychosis stages beyond positive symptom severity to investigate specificity related to affective and normative variation and to validate solutions with premorbid, longitudinal, and genetic risk measures., Objective: To use machine learning techniques to cluster, compare, and combine subgroup solutions using clinical and brain structural imaging data from early psychosis and depression stages., Design, Setting, and Participants: A multisite, naturalistic, longitudinal cohort study (10 sites in 5 European countries; including major follow-up intervals at 9 and 18 months) with a referred patient sample of those with clinical high risk for psychosis (CHR-P), recent-onset psychosis (ROP), recent-onset depression (ROD), and healthy controls were recruited between February 1, 2014, to July 1, 2019. Data were analyzed between January 2020 and January 2022., Main Outcomes and Measures: A nonnegative matrix factorization technique separately decomposed clinical (287 variables) and parcellated brain structural volume (204 gray, white, and cerebrospinal fluid regions) data across CHR-P, ROP, ROD, and healthy controls study groups. Stability criteria determined cluster number using nested cross-validation. Validation targets were compared across subgroup solutions (premorbid, longitudinal, and schizophrenia polygenic risk scores). Multiclass supervised machine learning produced a transferable solution to the validation sample., Results: There were a total of 749 individuals in the discovery group and 610 individuals in the validation group. Individuals included those with CHR-P (n = 287), ROP (n = 323), ROD (n = 285), and healthy controls (n = 464), The mean (SD) age was 25.1 (5.9) years, and 702 (51.7%) were female. A clinical 4-dimensional solution separated individuals based on positive symptoms, negative symptoms, depression, and functioning, demonstrating associations with all validation targets. Brain clustering revealed a subgroup with distributed brain volume reductions associated with negative symptoms, reduced performance IQ, and increased schizophrenia polygenic risk scores. Multilevel results distinguished between normative and illness-related brain differences. Subgroup results were largely validated in the external sample., Conclusions and Relevance: The results of this longitudinal cohort study provide stratifications beyond the expression of positive symptoms that cut across illness stages and diagnoses. Clinical results suggest the importance of negative symptoms, depression, and functioning. Brain results suggest substantial overlap across illness stages and normative variation, which may highlight a vulnerability signature independent from specific presentations. Premorbid, longitudinal, and genetic risk validation suggested clinical importance of the subgroups to preventive treatments.

Personalised prediction of functional outcomes is a promising approach for targeted early intervention in psychiatry. However, generalisability and resource efficiency of such prognostic models represent challenges. In the PRONIA study (German Clinical Trials Register: DRKS00005042), we demonstrate excellent generalisability of prognostic models in individuals at clinical high-risk for psychosis or with recent-onset depression, and substantial contributions of detailed clinical phenotyping, particularly to the prediction of role functioning. These results indicate that it is possible that functioning prediction models based only on clinical data could be effectively applied in diverse healthcare settings, so that neuroimaging data may not be needed at early assessment stages.

Negative symptoms occur frequently in individuals at clinical high risk (CHR) for psychosis and contribute to functional impairments. The aim of this study was to predict negative symptom severity in CHR after 9 months. Predictive models either included baseline negative symptoms measured with the Structured Interview for Psychosis-Risk Syndromes (SIPS-N), whole-brain gyrification, or both to forecast negative symptoms of at least moderate severity in 94 CHR. We also conducted sequential risk stratification to stratify CHR into different risk groups based on the SIPS-N and gyrification model. Additionally, we assessed the models' ability to predict functional outcomes in CHR and their transdiagnostic generalizability to predict negative symptoms in 96 patients with recent-onset psychosis (ROP) and 97 patients with recent-onset depression (ROD). Baseline SIPS-N and gyrification predicted moderate/severe negative symptoms with significant balanced accuracies of 68 and 62%, while the combined model achieved 73% accuracy. Sequential risk stratification stratified CHR into a high (83%), medium (40-64%), and low (19%) risk group regarding their risk of having moderate/severe negative symptoms at 9 months follow-up. The baseline SIPS-N model was also able to predict social (61%), but not role functioning (59%) at above-chance accuracies, whereas the gyrification model achieved significant accuracies in predicting both social (76%) and role (74%) functioning in CHR. Finally, only the baseline SIPS-N model showed transdiagnostic generalization to ROP (63%). This study delivers a multimodal prognostic model to identify those CHR with a clinically relevant negative symptom severity and functional impairments, potentially requiring further therapeutic consideration.