In people suffering from schizophrenia, major areas of everyday life are impaired, including independent living, productive activities and social relationships. Enhanced understanding of factors that hinder real‐life functioning is vital for treatments to translate into more positive outcomes. The goal of the present study was to identify predictors of real‐life functioning in people with schizophrenia, and to assess their relative contribution. Based on previous literature and clinical experience, several factors were selected and grouped into three categories: illness‐related variables, personal resources and context‐related factors. Some of these variables were never investigated before in relationship with real‐life functioning. In 921 patients with schizophrenia living in the community, we found that variables relevant to the disease, personal resources and social context explain 53.8% of real‐life functioning variance in a structural equation model. Neurocognition exhibited the strongest, though indirect, association with real‐life functioning. Positive symptoms and disorganization, as well as avolition, proved to have significant direct and indirect effects, while depression had no significant association and poor emotional expression was only indirectly and weakly related to real‐life functioning. Availability of a disability pension and access to social and family incentives also showed a significant direct association with functioning. Social cognition, functional capacity, resilience, internalized stigma and engagement with mental health services served as mediators. The observed complex associations among investigated predictors, mediators and real‐life functioning strongly suggest that integrated and personalized programs should be provided as standard treatment to people with schizophrenia.

People with schizophrenia show a high incidence of metabolic syndrome, which is associated with a high mortality from cardiovascular disease. The aetiology of the metabolic syndrome in schizophrenia is multi-factorial and may involve antipsychotic treatment, high levels of stress and unhealthy lifestyle, such as poor diet. As a poor diet can predispose to the development of metabolic abnormalities, the aims of this review are to clarify: 1) the dietary patterns of patients with schizophrenia, 2) the association of these dietary patterns with a worse metabolic profile, and 3) the possible factors influencing these dietary patterns. A search was conducted on Pubmed, The Cochrane Library, Scopus, Embase, Ovid, Psychoinfo and ISI web of Knowledge from 1950 to the 1st of November 2011. 783 articles were found through the investigation of such databases. After title, abstract or full-text reading and applying exclusion criteria we reviewed 31 studies on dietary patterns and their effects on metabolic parameters in schizophrenia. Patients with schizophrenia have a poor diet, mainly characterized by a high intake of saturated fat and a low consumption of fibre and fruit. Such diet is more likely to increase the risk to develop metabolic abnormalities. Data about possible causes of poor diet in schizophrenia are still few and inconsistent. Subjects with schizophrenia show a poor diet that partly accounts for their higher incidence of metabolic abnormalities. Further studies are needed to clarify the causes of poor diet and the role of dietary intervention to improve their physical health.

Autism spectrum disorder (ASD) is a group of life-long neurodevelopmental disorders affecting 1.5% of the general population. The present study aimed to evaluate the psychiatric history of a group of adults who received the first diagnosis of ASD in two Italian university centers. Diagnoses of ASD were confirmed by a team of psychiatrists with wide expertise in the field, after the administration of standardized tools (i.e., ADOS-2, ADI-R). The sample comprised 161 participants, of which 114 (79.5%) were males. The median age of diagnosis was 23 years (range 18–55), with a median IQ of 100 (range 30–145). The first evaluation by a mental health professional was performed at a median age of 13 years, with a gap of 11 years between the first evaluation and the diagnosis of ASD. 33.5% of participants had never received a psychiatric diagnosis, while the rest of the sample had received one or more diagnoses different from ASD. The most common past diagnoses were intellectual disability, psychoses, personality disorders, and depression. Sex differences were detected in the age of diagnosis and ADOS-2 scores. Our results provide important information for both child and adult psychiatrists. Given the prevalence of autism and the high rates of co-occurrent psychiatric conditions, it is important for clinicians to consider ASD in the differential diagnostic process.