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).
Adult
Antidepressive Agents
/ therapeutic use
China
Depression
/ drug therapy
Depressive Disorder
/ diagnosis
Drug Prescriptions
/ statistics & numerical data
Female
Hong Kong
Humans
India
Indonesia
Japan
Malaysia
Male
Middle Aged
Models, Statistical
Practice Patterns, Physicians'
/ statistics & numerical data
Republic of Korea
Singapore
Taiwan
Thailand
Asian
depressive disorders
depressive symptoms
network analysis
node strength centrality
Journal
Psychiatry and clinical neurosciences
ISSN: 1440-1819
Titre abrégé: Psychiatry Clin Neurosci
Pays: Australia
ID NLM: 9513551
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
13
11
2019
revised:
21
01
2020
accepted:
04
02
2020
pubmed:
13
2
2020
medline:
1
6
2021
entrez:
13
2
2020
Statut:
ppublish
Résumé
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. 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. 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. 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.
Identifiants
pubmed: 32048773
doi: 10.1111/pcn.12989
pmc: PMC7318233
doi:
Substances chimiques
Antidepressive Agents
0
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
344-353Subventions
Organisme : National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)
ID : 2019R1A2C1090146
Informations de copyright
© 2020 The Authors. Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology.
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