ArticleBMC psychiatry2025
A network analysis of the depression and anxiety comorbidity: a nationwide survey among Chinese adolescents during the normalization phase of COVID-19 pandemic prevention and control.
Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Psychological distress, decision-making, and health behaviors among prostate cancer survivors with urinary incontinence: A scale- and symptom-level network analysis.Asia-Pacific journal of oncology nursing · 2026Article
- Intergenerational transmission of maternal and adolescent depressive symptoms: cross-sectional and cross-lagged panel network analysis.Child and adolescent psychiatry and mental health · 2026Article
- Disentangling Heterogeneity in the Co-Developmental of Anxiety and Depression During the COVID-19 Pandemic: Insights From Cross-Lagged Panel Network.Depression and anxiety · 2026Article
- A latent profile analysis and network analysis of comorbidity of depression and anxiety in left-behind adolescents.Frontiers in psychology · 2026Article
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Abstract
objectivesThis study employed network analysis to investigate the comorbidity model between depression and anxiety among Chinese adolescents during the normalization phase of COVID-19 pandemic prevention and control.
methodsFrom October to December 2021, a total of 22 868 adolescents were selected from 27 schools in 8 cities of China by multistage cluster sampling. Depressive symptoms and anxiety symptoms of adolescents were evaluated by the Patient Health Questionnaire 9 (PHQ-9) and the Generalized Anxiety Disorder scale 7 (GAD-7), respectively. The network structure between depression and anxiety was explored using the Extended Bayesian Information Criterion (EBIC) and the graphical Least Absolute Shrinkage and Selection Operator (LASSO) method. The centrality of nodes, stability, accuracy, central symptoms, bridging symptoms, and network comparison were analyzed.
resultsIn the present study, 7 236 (31.6%) participants reported with depression-anxiety comorbidity. The obtained network model was highly stable. The edges between 'Control worry' and 'Too much worry', between 'Restless' and 'Irritable', and between 'Anhedonia' and 'Sad mood' were the three strongest positive edges in the anxiety and depression community. The edges between 'Motor' and 'Restless', between 'Guilt' and 'Nervous', and between 'Suicide' and 'Afraid' were the three strongest positive edges in the comorbidity community. 'Sad mood' and 'Too much worry' were the core symptoms within the 'depression' network and 'anxiety' network. 'Nervous', 'Guilt', and 'Restless' were three crucial bridge symptoms linking the comorbidity of depression and anxiety networks. Furthermore, 'Too much worry' (strength index = 1.087) has the highest strength value. 'Nervous' (bridge strength index = 0.51, expected influence (1-step) = 0.51, expected influence (2-step) = 0.93) not only demonstrated the highest bridge strength but also exhibited the highest bridge expected influence. At last, we found that there were no significant differences between genders.
conclusionsIn this study, 'Nervous', 'Guilt', and 'Restless' were identified as three crucial bridge symptoms linking the comorbidity of depression and anxiety networks. Timely and multilevel interventions targeting these bridge symptoms may help alleviate the comorbidity of depression and anxiety in Chinese adolescents. CLINICAL TRIAL NUMBER: Not applicable.
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