ArticlePsychiatry and clinical neurosciences2020
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).
Article in Psychiatry and clinical neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 33 citations in OpenAlex.
- Comparative Network Structures of Hikikomori (Social Withdrawal) Symptoms in Korean and Japanese Psychiatric Patients Prescribed Antidepressants: Findings From the Research on Asian Psychotropic Patterns for Antidepressants, Phase 3.Journal of Korean medical science · 2026Article
- Network structure analysis of depression, anxiety, and stress symptoms among college students: identification of central and bridge symptoms.Frontiers in psychiatry · 2026Article
- Anxiety symptoms as the central node: a network analysis of mental health sequelae in a post-COVID-19 national sample.Frontiers in psychology · 2026Article
- Loneliness and depressive symptoms in institutionally isolated Polish adolescents explored through network psychometrics.Scientific reports · 2025Article
- Network Structure of Depression and Anxiety Symptoms in Older Asian Patients With Depressive Disorders: Findings From REAP-AD3.Psychiatry investigation · 2025Article
- Initial psychotropic prescriptions and symptom associations in first-visit patients with major depressive disorder: A single-center cross-sectional study.Neuropsychopharmacology reports · 2025Article
- Symptom networks of common mental disorders in public versus private healthcare settings in India.Global mental health (Cambridge, England) · 2025Article
- Association of macronutrient intake, physical activity, anxiety, and depression with sleep quality among Iranian male adolescents.BMC research notes · 2024Article
- Major depressive episode and postpartum depression: A network analysis comparison on the IGEDEPP cohort.European psychiatry : the journal of the Association of European Psychiatrists · 2023Article
- Commentary: Why positive psychological resources are important for alleviating childhood adversity-related effects in adult patients with depressive disorders?Alpha psychiatry · 2023Article
- "Suicide CARE" Is Proactively Required to Reduce the Suicide Death Rate in the Identified Hotspots in South Korea.Alpha psychiatry · 2023Article
- Satisfaction with web-based courses on clinical practice guidelines for psychiatrists: Findings from the "Effectiveness of Guidelines for Dissemination and Education in Psychiatric Treatment (EGUIDE)" project.Neuropsychopharmacology reports · 2023Article
- Commentary: How Can We Detect and Manage COVID-19 Worry and Related Factors?Alpha psychiatry · 2022Article
- A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder.Journal of personalized medicine · 2022Article
- Article
- Depressive symptoms and gender differences in older adults in Hong Kong during the COVID-19 pandemic: a network analysis approach.International journal of biological sciences · 2022Article
- Machine Learning-Based Definition of Symptom Clusters and Selection of Antidepressants for Depressive Syndrome.Diagnostics (Basel, Switzerland) · 2021Review
- Quercetin and/or Ascorbic Acid Modulatory Effect on Phenobarbital-Induced Sleeping Mice Possibly through GABAPharmaceuticals (Basel, Switzerland) · 2021Article
- A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression.Frontiers in psychiatry · 2021Review
- Network Analysis of the Symptoms of Depressive Disorders Over the Course of Therapy: Changes in Centrality Measures.Psychiatry investigation · 2021Article
Corrections and comments
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Authors and funding
19 authors at 16 institutions in 10 countries.
Funding
Abstract
aimWe 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.
methodsUsing 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.
resultsPersistent 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.
conclusionOur 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.
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