A NETWORK ANALYSIS OF ANXIETY, DEPRESSIVE, PSYCHOTIC SYMPTOMS AND FUNCTIONING IN YOUTH AT ULTRA-HIGH RISK FOR PSYCHOSIS

"e Ultra-high risk (UHR) for psychosis clinical population is characterized by the high prevalence of anxiety and depressive disorders. "e goal of this study was to build and analyze a network structure with UHR symptom domains (i.e., positive, negative, disorganization and general symptoms), depressive and anxiety symptoms, and general functioning. Network analysis was applied to 157 UHR children and adolescents, assessed with the Structured Interview for Prodromal Syndromes (SIPS), Child Depression Inventory (CDI), Childrens-Global Assessment Scale (C-GAS), and Multidimensional Anxiety Scale for Children (MASC). In the network, negative and disorganization symptoms showed the strongest association, and depressive and anxiety symptoms were bridged by an edge. Positive symptom cluster did not exhibit any interplay with other nodes of the network. Despite current preventive interventions focus mainly on positive symptoms, they did not exhibit any association with other variables in the network. Our results suggest that assessing and targeting the relationship between negative and disorganization symptoms, as well as the interplay between depressive and anxiety symptoms is warranted in early intervention plans.