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

Articles in Press

Document Type : Original Article

Authors

1 Department of Psychology, Payame Noor University, Tehran, Iran

2 Geriatric Care Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran

3 Dept. of Midwifery, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran

4 Department of Educational Sciences, Farhangian University, Tehran, Iran

5 Department of Education, University of Karachi, Karachi, Pakistan

10.30476/ijvlms.2025.109053.1359

Abstract

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 2024–2025 academic year, from which 1,021 participants were selected through multistage cluster sampling. Data were collected between early May and late June 2025 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. 26, and structural modeling was conducted using LISREL V. 8.80.
Results: Self-regulation had a significant positive effect on social support (β = 0.34, SE = 0.034, 95% CI [0.273, 0.407], p<0.001). In contrast, higher levels of social support were linked to lower levels of mobile Internet addiction (β = −0.23, SE = 0.109, 95% CI [−0.444, −0.016], p<0.001). Additionally, self-regulation had a significant direct negative effect on mobile Internet addiction (β = -0.23, SE = 0.153, 95% CI [-0.529, 0.069], p<0.001). Overall, the model demonstrated acceptable fit to the data (χ²/df = 3.78, RMSEA = 0.052, CFI = 0.92, TLI = 0.90, GFI = 0.97).
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.

Highlights

Leila Bayat Mokhtari (Google Scholar)

Mohammadreza Mohamadi Soleimani (Google Scholar)

Keywords

References

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Interdisciplinary Journal of Virtual Learning in Medical Sciences

Articles in Press, Accepted Manuscript
Available Online from 22 December 2025

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History

  • Receive Date: 04 October 2025
  • Revise Date: 11 November 2025
  • Accept Date: 12 November 2025
  • Publish Date: 22 December 2025

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