Improving real‐life functioning is the main goal of the most advanced integrated treatment programs in people with schizophrenia. The Italian Network for Research on Psychoses previously explored, by using network analysis, the interplay among illness‐related variables, personal resources, context‐related factors and real‐life functioning in a large sample of patients with schizophrenia. The same research network has now completed a 4‐year follow‐up of the original sample. In the present study, we used network analysis to test whether the pattern of relationships among all variables investigated at baseline was similar at follow‐up. In addition, we compared the network structure of patients who were classified as recovered at follow‐up versus those who did not recover. Six hundred eighteen subjects recruited at baseline could be assessed in the follow‐up study. The network structure did not change significantly from baseline to follow‐up, and the overall strength of the connections among variables increased slightly, but not significantly. Functional capacity and everyday life skills had a high betweenness and closeness in the network at follow‐up, as they had at baseline, while psychopathological variables remained more peripheral. The network structure and connectivity of non‐recovered patients were similar to those observed in the whole sample, but very different from those in recovered subjects, in which we found few connections only. These data strongly suggest that tightly coupled symptoms/dysfunctions tend to maintain each other's activation, contributing to poor outcome in schizophrenia. Early and integrated treatment plans, targeting variables with high centrality, might prevent the emergence of self‐reinforcing networks of symptoms and dysfunctions in people with schizophrenia.
The shared centrality of identified nodes in both individual and merged groups supported the transdiagnostic theory of EDs (diagnoses share core ED features), with a central role of BMI. Moreover, the most central nodes were general psychiatric symptoms, interpersonal domain, and self-efficacy. These findings suggest that-in addition to ED-core symptoms and BMI-depressive and anxiety symptoms, interpersonal sensitivity and ineffectiveness may be important targets to provide effective treatments across AN, BN, and BED.
Purpose The COVID-19 pandemic restrictions had negative impact on the psychopathology of people with Eating Disorders (EDs). Factors involved in the vulnerability to stressful events have been under-investigated in this population. We aimed to assess which factors contributed to COVID-19-induced worsening in both general and specific psychopathology. Methods Three-hundred and twelve people with a clinically defined diagnosis of an ED and undergoing a specialist ED treatment in different Italian ED services before the spreading of COVID-19 pandemic filled in an online survey. ED specific and general psychopathology changes after COVID-19 quarantine were retrospectively evaluated. Factors related to COVID-19 concerns (financial condition, fear of contagion, perceived social isolation/support, satisfaction in peer, family or sentimental relationships), illness duration and treatment-related variables (type of treatment provided, type of access to care, satisfaction with therapeutic relationships) were included as predicting factors in a structural equational model, which included latent variables consisting of general and ED psychopathology items as outcomes. Results A perceived low quality of therapeutic relationships, fear of contagion and increased isolation were positively associated with psychopathology worsening. Reduced satisfaction with family and with friends' relationships and reduced perceived social support were associated with ED and general symptoms deterioration, respectively. No significant effect emerged for intimate relationships, illness duration, economic condition and type of treatment. Conclusions This study provides a comprehensive evaluation of clinical variables associated with psychopathological changes during the COVID-19 lockdown period highlighting potential risk and resilience factors and, possibly, informing treatment as well as prevention strategies for EDs. Level of evidence IV Evidence obtained from multiple time series analysis such as case studies
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.