Network analysis of the depressive symptom profiles in Asian patients with depressive disorders: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP‐AD). Issue 6 (5th March 2020)

• Record Type: Journal Article
• Authors: Park, Seon‐Cheol; Jang, Eun Young; Xiang, Yu‐Tao; Kanba, Shigenobu; Kato, Takahiro A.; Chong, Mian‐Yoon; Lin, Shih‐Ku; Yang, Shu‐Yu; Avasthi, Ajit; Grover, Sandeep; Kallivayalil, Roy A.; Udomratn, Pichet; Chee, Kok Yoon; Tanra, Andi J.; Tan, Chay‐Hoon; Sim, Kang; Sartorius, Norman; Park, Yong Chon; Shinfuku, Naotaka
• Is Part Of: Psychiatry and clinical neurosciences. Volume 74:Issue 6(2020)
• Page Start: 344
• Page End: 353
• Publication Date: 2020-03-05
• Subjects: Asian -- depressive disorders -- depressive symptoms -- network analysis -- node strength centrality; Psychiatry -- Periodicals; Neurology -- Periodicals; 616.89
• DOI: 10.1111/pcn.12989
• Languages: English
• ISSNs: 1323-1316

Abstract

Abstract : Aim: We aimed to estimate the network structures of depressive symptoms using network analysis and evaluated the geographic regional differences in theses network structures among Asian patients with depressive disorders. Methods: Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP‐AD), the network of the ICD‐10 diagnostic criteria for depressive episode was estimated from 1174 Asian patients with depressive disorders. The node strength centrality of all ICD‐10 diagnostic criteria for a depressive episode was estimated using a community‐detection algorithm. In addition, networks of depressive symptoms were estimated separately among East Asian patients and South or Southeast Asian patients. Moreover, networks were estimated separately among Asian patients from high‐income countries and those from middle‐income countries. Results: Persistent sadness, fatigue, and loss of interest were the most centrally situated within the network of depressive symptoms in Asian patients with depressive disorders overall. A community‐detection algorithm estimated that when excluding psychomotor disturbance as an outlier, the other nine symptoms formed the largest clinically meaningful cluster. Geographic and economic variations in networks of depressive symptoms were evaluated. Conclusion: Our findings demonstrated that the typical symptoms of the ICD‐10 diagnostic criteria for depressive episode are the most centrally situated within the network of depressive symptoms. Furthermore, our findings suggested that cultural influences related to geographic and economic distributions of participants could influence the estimated depressive symptom network in Asian patients with depressive disorders.