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USING NETWORK ANALYSIS FOR DATA FROM THE REAP SURVEY
Abstract
Abstract Body
Network analysis has been regarded as a novel psychopathological method to understand an idea that “symptoms are not outcome factors of an underlying disease and symptoms and the associations between them are the disease itself.” First, using data from the REAP for Antipsychotics (REAP-AP), network analysis has revealed that motor retardation is situated most centrally and hallucinatory behavior is situated least centrally within the network of Brief Psychiatric Rating Scale (BPRS) items. Overall, DSM symptoms are not more central than non-DSM symptoms within the symptom network of Asian patients with schizophrenia. Second, using data form the REAP-AP, network analysis has revealed that dyskinesia is situated most centrally and sialorrhea is situated least centrally within the Drug-Induced Extrapyramidal Symptoms Scale (DIEPSS) in Asian patients with schizophrenia. Third, using data from the REAP for Antidepressants (REAP-AD), network analysis has revealed that guilt or self-blame is situated most centrally and agitation or retardation is situated least centrally within the ICD-10 diagnostic criteria for depressive disorder in East Asian patients with depressive disorders. Lastly, using data from the REAP for Mood Stabilizers (REAP-MS), network analysis has revealed that suicidal idea or attempt is situated most centrally and agitation or retardation is situated least centrally within the DSM-5 diagnostic criteria for depressive disorder in Asian depressed patients treated with mood stabilizers. Network analysis findings for data from the REAP survey have suggested a novel perspective of symptom presentations of Asian patients with schizophrenia or depressive disorders, which are partly inconsistent with operational diagnostic criteria.