بررسی نقش اعتیاد به اینترنت بر افسردگی با میانجیگری انزوای اجتماعی در نوجوانان مدارس متوسطه دوم شهر جهرم.
Introduction: Depression is one of the most common psychological disorders among adolescents, and identifying its associated factors is of great importance. The present study aimed to investigate the role of Internet addiction in predicting depression with the mediating role of social isolation amon...
| Publicado en: | Pars Journal of Medical Sciences Vol. 23; no. 2; pp. 49 - 59 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Journal of Jahrom University of Medical Sciences
Jul2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188639723&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188639723 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 27170284 N98H jtl: Pars Journal of Medical Sciences issn: 27170284 maglogo: N pubinfo: dt: Jul2025 vid: 23 iid: 2 pid: 70438 pub: Journal of Jahrom University of Medical Sciences place: , <Blank> artinfo: ui: 188639723 188639723 188639723 188639723 ppf: 49 ppct: 10 formats: fmt: @attributes: type: P tig: atl: بررسی نقش اعتیاد به اینترنت بر افسردگی با میانجیگری انزوای اجتماعی در نوجوانان مدارس متوسطه دوم شهر جهرم. aug: au: زهره جعفرزاده جه امید ارغوان affil: دکتری روانشناسی بالینی اداره مشاوره و سلامت روان دانشکده پزشکی دانشگاه علوم پزشکی جهرم جهرم ایران. sug: subj: Internet Addiction Complications Depression Risk Factors Social Isolation Schools, Secondary Iran Adolescent Behavior Students, High School Psychosocial Factors Risk Assessment Human Descriptive Research Correlational Studies Cross Sectional Studies Iran Multi-Stage Cluster Male Female Adolescence Questionnaires Psychological Tests Scales Pearson's Correlation Coefficient Multiple Regression Descriptive Statistics Data Analysis Software Adolescent: 13-18 years Male Female ab: Introduction: Depression is one of the most common psychological disorders among adolescents, and identifying its associated factors is of great importance. The present study aimed to investigate the role of Internet addiction in predicting depression with the mediating role of social isolation among high school students. Materials and Methods: This research employed a descriptive–correlational design. The statistical population consisted of all high school students in Jahrom city during the 2024–2025 academic year. A sample of 200 students was selected using a multistage cluster sampling method. First, a list of high schools in the city was prepared, and two girls’ schools and two boys’ schools were randomly selected. Then, one or two classes from different grades (10th, 11th, and 12th) were chosen from each school, and finally, about 50 students from each school (a total of 100 girls and 100 boys) were randomly selected. After excluding incomplete questionnaires, data from 200 participants with a mean age of 16 years (SD = 1.1) were analyzed. The data collection instruments included the Young Internet Addiction Test (IAT), Beck Depression Inventory-II (BDI-II), and the Social Isolation Scale developed by Chelbi and Amirkafi. Data were analyzed using Pearson correlation coefficient and hierarchical multiple regression in SPSS26. Results: The results showed that Internet addiction positively and significantly predicted depression (r=0.327, p<0.001) and social isolation (r=0.435, p<0.001). Moreover, social isolation was found to be a positive and significant predictor of depression (r=0.408, p<0.001). Regression analysis indicated that Internet addiction and social isolation together explained 25% of the variance in depression. The mediating role of social isolation in the relationship between Internet addiction and depression was also confirmed, as the beta coefficient of Internet addiction decreased after controlling for social isolation Conclusion: Social isolation plays an important mediating role in the relationship between Internet addiction and depression in adolescents. Based on these results, focusing on social mechanisms and strengthening interpersonal connections among adolescents can be an effective pathway to reducing the negative impacts of Internet addiction on their mental health. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: Persian refInfo: holdings: @attributes: islocal: N |
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