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.

Publication date: Jul 01, 2025

This 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. From 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. In 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. In 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. Not applicable.

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Concepts Keywords
China Adolescent
December Anxiety
Psychiatry Anxiety
Anxiety Disorders
China
Comorbidity
Comorbidity
COVID-19
Depression
Depression
East Asian People
Female
Humans
Male
Network analysis
SARS-CoV-2
Surveys and Questionnaires

Semantics

Type Source Name
disease MESH depression
disease MESH anxiety
disease MESH comorbidity
disease MESH COVID-19 pandemic
disease MESH Anxiety Disorder
disease MESH ‘Anhedonia
disease MESH ‘Suicide
pathway REACTOME Reproduction
drug DRUGBANK Troleandomycin
drug DRUGBANK Coenzyme M
disease MESH mood disorders
disease MESH mental disorders
disease IDO symptom
disease MESH chronic illnesses
disease IDO intervention
drug DRUGBANK L-Citrulline
drug DRUGBANK Indoleacetic acid
disease IDO process
drug DRUGBANK Aspartame

Original Article

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