ArticleFrontiers in psychiatry2023
Network analysis of the relationships between problematic smartphone use and anxiety, and depression in a sample of Chinese college students.
Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 19 citations in OpenAlex.
- Network analysis of core symptom changes in lung cancer survivors: a longitudinal study.Journal of cancer survivorship : research and practice · 2026Article
- Unveiling symptom-level pathways: a network analysis of fear of missing out and mobile phone addiction among Chinese college students.BMC psychology · 2026Article
- Network analysis and directed acyclic graph of smartphone addiction and multiple mental health factors in youths.BMC psychology · 2026Article
- The relationship among short-form video addiction, self-control, and emotional symptoms in college students: a network analysis.BMC public health · 2026Article
- The relationship between mobile phone addiction and depression, anxiety among Chinese college students: the mediating role of friendship quality and the moderating effect of preference for solitude.Frontiers in psychiatry · 2026Article
- Depressive symptoms precede and drive problematic smartphone use in Chinese medical students: a longitudinal network analysis.Frontiers in psychology · 2026Article
- Directional Relations Between Symptoms of Adolescent Smartphone Addiction, Academic Burnout, and Psychological Distress: A Cross-Lagged Panel Network Analysis.Psychology research and behavior management · 2026Article
- Prevalence and predictors of problematic smartphone use in a sample of Spanish undergraduate students.Scientific reports · 2025Article
- Subthreshold anxiety in Chinese college students: prevalence, gender differences, and correlates.BMC psychology · 2025Article
- Fatigue as a central bridge: temporal dynamics between problematic smartphone use and depressive symptoms in Chinese adolescents.Child and adolescent psychiatry and mental health · 2025Article
- Problematic Smartphone Use Is Associated With Current and Previous Major Depressive Disorder.Psychiatry investigation · 2025Article
- The association between bedtime smartphone use and anxiety symptoms: a network analysis of Chinese residents.BMC psychiatry · 2025Article
- Interaction Among Smartphone Addiction, Behavioral Inhibition/Activation Systems and Mental Health Factors Among Chinese Undergraduate Student: A Study Using Network Analysis.Psychology research and behavior management · 2025Article
- Adverse childhood experiences and subsequent experiences of intimate partner violence in adulthood: a gender perspective.Epidemiology and psychiatric sciences · 2024Article
- The Relationships between Effortful Control, Mind Wandering, and Mobile Phone Addiction Based on Network Analysis.Healthcare (Basel, Switzerland) · 2024Article
- A Network Structure of Mental Health and Problematic Mobile Phone Use Among Middle School Students.Psychology research and behavior management · 2024Article
- The interplay of personality traits, anxiety, and depression in Chinese college students: a network analysis.Frontiers in public health · 2023Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Problematic smartphone use (PSU) is associated with both anxiety and depression. However, the relationships between components of PSU and symptoms of anxiety or depression have not been investigated. Hence, the aim of this study was to closely examine the relationships between PSU and anxiety and depression to identify the pathological mechanisms underpinning those relationships. A second aim was to identify important bridge nodes to identify potential targets for intervention. Methods: Symptom-level network structures of PSU and anxiety, and PSU and depression were constructed to investigate the connections between the variables and evaluate the bridge expected influence (BEI) of each node. Network analysis using data from 325 Chinese healthy college students was performed. Results: Five strongest edges appeared within the communities in both the PSU-anxiety and PSU-depression networks. The "Withdrawal" component had more connections with symptoms of anxiety or depression than any other PSU node. In particular, the edges between "Withdrawal" and "Restlessness" and between "Withdrawal" and "Concentration difficulties" were the strongest cross-community edges in the PSU-anxiety network and PSU-depression network, respectively. Furthermore, "Withdrawal" had the highest BEI in the PSU community in both networks. Conclusions: These findings provide preliminary evidence of the pathological pathways linking PSU with anxiety and depression, with "Withdrawal" linking PSU with both anxiety and depression. Hence, "Withdrawal" may be a potential target for preventing and intervening in cases of anxiety or depression.
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