Mapping Depression and Problematic Internet Use Symptoms in Chinese College Students: Insights from a Large-Scale Network Analysis.
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...
| Publicado en: | International Journal of Mental Health & Addiction Vol. 24; no. 4; pp. 3234 - 3253 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Aug2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=196381849&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 196381849 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 15571874 46AW jtl: International Journal of Mental Health & Addiction issn: 15571874 maglogo: N pubinfo: dt: Aug2026 vid: 24 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 196381849 10.1007/s11469-025-01519-w ppf: 3234 ppct: 19 formats: tig: atl: Mapping Depression and Problematic Internet Use Symptoms in Chinese College Students: Insights from a Large-Scale Network Analysis. aug: au: A, Li-Ya Chen, Meng-Yi Jiang, Yuan-Yuan Huang, Hui-Ting Liu, Shou Ma, Yi Su, Zhaohui Cheung, Teris Ungvari, Gabor S. Meng, Qing-Yong Ng, Chee H. Xiang, Yu-Tao affil: https://ror.org/01r4q9n85 Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, University of Macau, Macao SAR, China Faculty of Health, Zhuhai College of Science and Technology, Zhuhai, Guangdong Province, China https://ror.org/01r4q9n85 Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China https://ror.org/05h33bt13 Department of Public Health, Medical College, Qinghai University, Xining, Qinghai, China https://ror.org/03jqs2n27 Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China https://ror.org/04ct4d772 School of Public Health, Southeast University, Nanjing, China https://ror.org/0030zas98 School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China https://ror.org/02stey378 Section of Psychiatry, University of Notre Dame Australia, Fremantle, Australia https://ror.org/047272k79 Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia https://ror.org/01ej9dk98 Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, VIC, Australia su: China Mental depression Internet addiction College students Mental health Psychological tests Graphical modeling (Statistics) sug: subj: Mental depression Internet addiction College students Mental health Psychological tests China Offices of Mental Health Practitioners (except Physicians) Graphical modeling (Statistics) keyword: Depression Network analysis Problematic Internet use Depression Network analysis Problematic Internet use ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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