Aug 2026· International Journal of Social Psychiatry· pp.
207640261473297
· 0 citations· 74 references
Medicine
TL;DR
The network structure of depressive and anxiety symptoms and suicidality among psychiatric patients across Asia found that the central and bridge symptoms might represent potential clinical markers and generate hypotheses for longitudinal and interventional research on depression, anxiety, and suicidality in the future.
Abstract
Background
Depressive and anxiety symptoms (depression and anxiety hereafter), and suicidality are common among psychiatric patients. This study examined the network structure of depressive and anxiety symptoms and suicidality among psychiatric patients across Asia.
Methods
Data were drawn from the Research on Asian Psychotropic Prescription Patterns for Antidepressants Phase 3 study (REAP-AD3), which included 2,455 psychiatric patients from 11 Asian countries and territories. Depression and anxiety were assessed using the 9-item Patient Health Questionnaire (PHQ-9) and 7-item Generalized Anxiety Disorder Scale (GAD-7), respectively, while suicidality (i.e., suicidal thoughts or acts) was assessed by a clinical interview. Expected Influence (EI) and Bridge EI were used as centrality indices in the symptom network to characterize the structure of the symptoms.
Results
The point prevalence of suicidality was 30.1% (95% confidence interval [CI] = 28.2, 31.9) among the psychiatric patients. The network analysis identified PHQ2 ("Sad mood") as the most central symptom, followed by GAD2 ("Uncontrollable worry"). Additionally, PHQ8 ("Motor disturbances") and S ("Suicidality") were identified as bridge nodes linking depression and anxiety with suicidality. The flow network indicated that PHQ6 ("Guilt") and PHQ2 ("Sad mood") had the strongest positive associations with suicidality.
Conclusions
Suicidality was common among psychiatric patients across Asia. The central and bridge symptoms might represent potential clinical markers and generate hypotheses for longitudinal and interventional research on depression, anxiety, and suicidality in the future.
BACKGROUND
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