Dose-Response Relationship of Loneliness and Internet Addiction With Depression Among College Students: A Multicenter Survey.
Background: Depression in young people especially among college students is a growing concern. Both loneliness and Internet addiction are found to be linked to depression. Aims: This study explored the dose-response relationship of loneliness and Internet addiction with depression, and examined how...
| Publicado en: | International Journal of Social Psychiatry Vol. 72; no. 3; pp. 571 - 582 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
May2026
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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=193276570&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193276570 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00207640 ISP jtl: International Journal of Social Psychiatry issn: 00207640 maglogo: Y pubinfo: dt: May2026 vid: 72 iid: 3 pid: 344 pub: Sage Publications Inc. artinfo: ui: 193276570 10.1177/00207640251371433 ppf: 571 ppct: 11 formats: tig: atl: Dose-Response Relationship of Loneliness and Internet Addiction With Depression Among College Students: A Multicenter Survey. aug: au: Chen, Meng-Yi A, Li-Ya Jiang, Yuan-Yuan Huang, Hui-Ting Liu, Shou Ma, Yi Su, Zhaohui Cheung, Teris Ungvari, Gabor S. Ng, Chee H. Xiang, Yu-Tao affil: Department of Psychiatry and Clinical Psychology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China Faculty of Health, Zhuhai College of Science and Technology, Zhuhai, China Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China School of Nursing and Health, Nanfang College, Guangzhou, China Department of Public Health, Medical College, Qinghai University, Xining, China Faculty of Medicine, Macau University of Science and Technology, Macao SAR, China School of Public Health, Southeast University, Nanjing, China School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China Section of Psychiatry, University of Notre Dame Australia, Fremantle, Australia Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Australia su: China Mental depression risk factors Internet addiction Cross-sectional method Health status indicators Exercise Socioeconomic factors Loneliness Age distribution Economic status Psychology of college students Risk assessment Research funding Statistical sampling Questionnaires Logistic regression analysis Severity of illness index Multivariate analysis Descriptive statistics Dose-response relationship in biochemistry Surveys Odds ratio Research Statistics Disease susceptibility Confidence intervals Data analysis software sug: subj: Mental depression risk factors Internet addiction Cross-sectional method Health status indicators Exercise Socioeconomic factors Loneliness Age distribution Economic status Psychology of college students China Marketing Research and Public Opinion Polling Risk assessment Research funding Statistical sampling Questionnaires Logistic regression analysis Severity of illness index Multivariate analysis Descriptive statistics Dose-response relationship in biochemistry Surveys Odds ratio Research Statistics Disease susceptibility Confidence intervals Data analysis software keyword: college students depression loneliness nonlinear relationship college students depression loneliness nonlinear relationship ab: Background: Depression in young people especially among college students is a growing concern. Both loneliness and Internet addiction are found to be linked to depression. Aims: This study explored the dose-response relationship of loneliness and Internet addiction with depression, and examined how the severity of loneliness and Internet addiction influence the susceptibility to depression. Methods: A cross-sectional study was conducted between September and December 2023 in China. Depression was evaluated using the 9-item Patient Health Questionnaire (PHQ-9). Loneliness and Internet addiction were assessed using the 20-item University of California, Los Angeles Loneliness Scale (UCLA-20) and Young's 20-item Internet Addiction Test (IAT-20), respectively. Univariate and multivariate analyses were performed to explore the correlates of depression. Restricted cubic spline (RCS) analysis was employed to examine the potential dose-response relationships between the continuous exposure variables (loneliness and Internet addiction) and depression. Results: Among 6,514 college students included in the study, the prevalence of depression was 18.2% (95% confidence intervals, CI [17.3%, 19.1%]). After adjusting for confounders, a positive linear relationship was observed between loneliness and the risk of depression; while a J-shaped nonlinear relationship was found with an inflection point of 41 between Internet addiction and the risk of depression. Poor health and economic status also increased the risk of depression for college students with Internet addiction. Conclusions: Loneliness and Internet addiction both predicted the high risk of depression among college students. Mental health screening and interventions should be tailored to address loneliness and Internet addiction in this population to prevent the onset of depression among at-risk individuals. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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