ArticleTranslational psychiatry2023
Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective.
Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Social Connectedness Buffering the Interaction Between Problematic Internet Use and Psychopathological Symptoms Among Adolescents: Undirected and Bayesian Network Analyses.Journal of medical Internet research · 2026Article
- The longitudinal relationships between social networks, trust and depression: a cross-lagged panel network analysis.BMC psychology · 2026Article
- Cross-Lagged Panel Network Analysis Between Internet Addiction and Depression: Gender and Mid-Late Adolescent Differences.Child psychiatry and human development · 2026Article
- The relationship among short-form video addiction, self-control, and emotional symptoms in college students: a network analysis.BMC public health · 2026Article
- Network relationships between emotional dysregulation and ADHD symptoms: an investigation of 13,207 clinical children and adolescents.European child & adolescent psychiatry · 2026Article
- Childhood Maltreatment, Bullying, and Internet Addiction in Relation to Suicidal Ideation Among Adolescents: Cross-Sectional Mediation and Network Analysis.Journal of medical Internet research · 2025Article
- The prevalence of internet addiction and its association with quality of life among inflight security officers based on a national survey: a network analysis perspective.European archives of psychiatry and clinical neuroscience · 2025Article
- Childhood experience profiles and their impact on depression-burnout networks among nurses: a latent class and network analysis.BMC nursing · 2025Article
- The Longitudinal Effect of Psychological Distress on Internet Addiction Symptoms Among Chinese College Students: Cross-Lagged Panel Network Analysis.Journal of medical Internet research · 2025Article
- Network analysis of peer attachment and internet addiction among chinese adolescents.Scientific reports · 2025Article
- Network analysis of depressive symptoms in Chinese outpatients with somatic symptom disorder.Frontiers in psychiatry · 2025Article
- Exploring the Intrinsic Association Between Perceived Social Support and Depressive Symptoms and Problematic Phone Use Among College Students Based on Network Analysis.Psychology research and behavior management · 2025Article
- Differential benefits of internet-based behavioral activation (iBA) for adolescents with high vs. low reward probability: a secondary analysis.Frontiers in psychology · 2025Article
- Internet Addiction and Depressive Symptoms in University Students: Latent Profiles, Network Structure, and Symptomatic Pathways to Suicide Risk.Depression and anxiety · 2025Article
- Network analysis of Tourette syndrome and attention-deficit/hyperactivity disorder symptoms in children and adolescents.Child and adolescent psychiatry and mental health · 2024Article
- A network analysis of the interrelationships between depression, anxiety, insomnia and quality of life among fire service recruits.Frontiers in public health · 2024Article
- Article
- Effects of internet addiction and academic satisfaction on mental health among college students after the lifting of COVID-19 restrictions in China.Frontiers in psychiatry · 2023Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To assess the inter-relationships between residual depressive symptoms (RDS) and Internet addiction (IA) using network analysis among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. RDS and IA were assessed using the Patient Health Questionnaire-9 (PHQ-9) and the Internet Addiction Test (IAT), respectively. Central symptoms and bridge symptoms in the network model were examined. A total of 1,454 adolescents met the study criteria and were included in the analyses. The prevalence of IA was 31.2% (95% CI: 28.8%-33.6%). In the network analysis, the nodes IAT15 ("Preoccupation with the Internet"), PHQ2 ("Sad mood"), and PHQ1 ("Anhedonia") were the most central symptoms in the IA-RDS network model. Bridge symptoms included IAT10 ("Sooth disturbing about your Internet use"), PHQ9 ("Suicide ideation"), and IAT3 ("Prefer the excitement online to the time with others"). Additionally, PHQ2 ("Sad mood") was the main node linking "Anhedonia" to other IA clusters. Internet addiction was common among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. Core and bridge symptoms identified in this study could be prioritized as targets for the prevention and treatment of IA in this population.
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