Abstract
The rapidly growing rate of Internet use globally is associated with an increased risk of both depression and Problematic Internet Use (PIU) in young people. This study aimed to analyze the inter-relationships between depression and PIU among college students from the perspective of network analysis. A total of 6514 college students were recruited nationwide from September to December 2023 in China. Depression and PIU were assessed using the 9-item Patient Health Questionnaire (PHQ-9) and the Internet Addiction Test, respectively. Expected Influence (EI) and bridge EI were used as centrality indices to characterize the network structure of the symptoms. Based on self-reported questionnaires, the percentage of college students with depressive symptoms and PIU were 53.7% [95% confidence interval (CI): 52.4%–54.9%] and 27.9% (95%CI: 26.8%–29.0%), respectively. The network analysis identified IAT2 (“Neglect chores to spend more time online”) as the most central symptom, followed by IAT16 (“Request an extension for longer time”) and IAT8 (“Academic efficiency declines”). Additionally, PHQ8 (“Motor disturbances”), IAT20 (“Depress/moody/nervous being offline”) and PHQ9 (“Suicide ideation”) were the key bridge nodes linking the communities of depression and PIU. Depression and PIU were common among university students in China. Appropriate measures should target the central and bridge symptoms identified in this network model to effectively address such mental health problems in those affected.
| Original language | English |
|---|---|
| Journal | International Journal of Mental Health and Addiction |
| DOIs | |
| Publication status | Accepted/In press - Sept 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- College students
- Depression
- Network analysis
- Problematic Internet use
ASJC Scopus subject areas
- Psychiatry and Mental health
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