The Relationship between Self-Regulation and Mobile Internet Addiction with the Mediating Role of Social Support among High School Students in Kerman: A Structural Equation Modeling Approach

Background: Mobile Internet addiction in adolescents has become a growing social and educational concern, associated with substantial personal, academic, and psychological risks. This study investigated the direct and indirect effects of self-regulation on mobile Internet addiction among high school students, with perceived social support serving as a mediating factor.Methods: A correlational design was employed, using Covariance-Based Structural Equation Modeling (CB-SEM) to analyze both direct and indirect relationships among the study variables. The target population included all high school students in Kerman City, Iran, during the ۲۰۲۴–۲۰۲۵ academic year, from which ۱,۰۲۱ participants were selected through multistage cluster sampling. Data were collected between early May and late June ۲۰۲۵ using three standardized instruments: the Short Self-Regulation Questionnaire (SSRQ(, the Social Support Appraisals (SS-A) Scale, and the Chen Internet Addiction Scale (CIAS). Descriptive and correlational analyses were performed in SPSS V. ۲۶, and structural modeling was conducted using LISREL V. ۸.۸۰.Results: Self-regulation had a significant positive effect on social support (β = ۰.۳۴, SE = ۰.۰۳۴, ۹۵% CI [۰.۲۷۳, ۰.۴۰۷], p<۰.۰۰۱). In contrast, higher levels of social support were linked to lower levels of mobile Internet addiction (β = −۰.۲۳, SE = ۰.۱۰۹, ۹۵% CI [−۰.۴۴۴, −۰.۰۱۶], p<۰.۰۰۱). Additionally, self-regulation had a significant direct negative effect on mobile Internet addiction (β = -۰.۲۳, SE = ۰.۱۵۳, ۹۵% CI [-۰.۵۲۹, ۰.۰۶۹], p<۰.۰۰۱). Overall, the model demonstrated acceptable fit to the data (χ²/df = ۳.۷۸, RMSEA = ۰.۰۵۲, CFI = ۰.۹۲, TLI = ۰.۹۰, GFI = ۰.۹۷).Conclusion: The findings indicate that self-regulation mitigates mobile Internet addiction both directly and indirectly through enhanced perceived social support. Therefore, educational and counseling initiatives within schools should prioritize enhancing students’ self-regulation abilities and expanding their social support networks to effectively prevent mobile Internet addiction.

کلیدواژه ها:

Self-Regulation ، Self-control ، social support ، Internet addiction disorder ، Adolescent ، Latent class analysis ، SEM