Unraveling the complex relationships between anxiety, depression, and quality of life in schizophrenia: a network analysis study.

Abstract

This study utilized network analysis to explore the intricate relationships between anxiety, depression, and quality of life in a cohort of hospitalized schizophrenia patients. Through a cross-sectional design, the investigation aimed to identify key symptoms and bridge connections to inform tailored clinical interventions and improve patient well-being. Symptom severity was measured using the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, and Schizophrenia Quality of Life Scale, with network analysis elucidating central nodes and bridging symptoms within the patient sample of 1328 individuals. Findings revealed psychic anxiety, insomnia, and depressed mood as pivotal within the network, significantly impacting overall symptomatology and quality of life. Furthermore, symptoms such as tension and fears were identified as essential connectors among different symptom domains, highlighting potential intervention targets. The study underscores the complex dynamics between anxiety, depression, and quality of life in schizophrenia, advocating for an integrated treatment approach that focuses on critical symptoms to enhance overall well-being. This approach suggests a paradigm shift towards personalized care in schizophrenia management, aiming to optimize outcomes by addressing the root of symptom networks.