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Bayat Mokhtari, Leila, Sanjari, Shahrzad, Panahi, Gholamhasan, Mohammadi Soleimani, Mohammadreza, Ghanbari Zarandi, Zahra, Sarwar, Samiullah. (1404). 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. سامانه مدیریت نشریات علمی, 16(4), 374-389. doi: 10.30476/ijvlms.2025.109053.1359
Leila Bayat Mokhtari; Shahrzad Sanjari; Gholamhasan Panahi; Mohammadreza Mohammadi Soleimani; Zahra Ghanbari Zarandi; Samiullah Sarwar. "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". سامانه مدیریت نشریات علمی, 16, 4, 1404, 374-389. doi: 10.30476/ijvlms.2025.109053.1359
Bayat Mokhtari, Leila, Sanjari, Shahrzad, Panahi, Gholamhasan, Mohammadi Soleimani, Mohammadreza, Ghanbari Zarandi, Zahra, Sarwar, Samiullah. (1404). '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', سامانه مدیریت نشریات علمی, 16(4), pp. 374-389. doi: 10.30476/ijvlms.2025.109053.1359
Bayat Mokhtari, Leila, Sanjari, Shahrzad, Panahi, Gholamhasan, Mohammadi Soleimani, Mohammadreza, Ghanbari Zarandi, Zahra, Sarwar, Samiullah. 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. سامانه مدیریت نشریات علمی, 1404; 16(4): 374-389. doi: 10.30476/ijvlms.2025.109053.1359

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

Interdisciplinary Journal of Virtual Learning in Medical Sciences
مقاله 4، دوره 16، شماره 4 - شماره پیاپی 63، اسفند 2025، صفحه 374-389    اصل مقاله (1.48 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/ijvlms.2025.109053.1359
نویسندگان
Leila Bayat Mokhtari1؛ Shahrzad Sanjari2، 3؛ Gholamhasan Panahi4؛ Mohammadreza Mohammadi Soleimani* 4؛ Zahra Ghanbari Zarandi1؛ Samiullah Sarwar5
1Department of Psychology, Payame Noor University, Tehran, Iran
2Geriatric Care Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
3Dept. of Midwifery, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
4Department of Educational Sciences, Farhangian University, Tehran, Iran
5Department of Education, University of Karachi, Karachi, Pakistan
چکیده
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.

تازه های تحقیق

Leila Bayat Mokhtari (Google Scholar)

Mohammadreza Mohamadi Soleimani (Google Scholar)

کلیدواژه‌ها
Self-Regulation؛ Self-Control؛ Social Support؛ Internet Addiction Disorder؛ Adolescent؛ Latent Class Analysis؛ SEM
مراجع
  1. Ozturk FO, Ayaz-Alkaya S. Internet addiction and psychosocial problems among adolescents during the COVID-19 pandemic: A cross-sectional study. Arch Psychiatr Nurs. 2021;35(6):595-601. doi: 10.1016/j.apnu.2021.08.007. PubMed PMID: 34861951; PubMed Central PMCID: PMC8424060.
  2. Waheed H, Macaulay PJR, Al-Jaifi HAA, Allen K-A, She L. Caught in the web: a meta-analysis of Internet addiction, excessive daytime sleepiness and depressive symptoms in adolescents. Inf Technol People. 2024;37(8):109-29. doi: 10.1108/ITP-07-2023-0676.
  3. Kutluay E, Karaca F. A model proposal explaining the influence of smartphone addiction related factors on high school students’ academic success. Educ Inf Technol (Dordr). 2025;30(3):4061-98. doi: 10.1007/s10639-024-12947-x.
  4. Candussi CJ, Kabir R, Sivasubramanian M. Problematic smartphone usage, prevalence and patterns among university students: A systematic review. J Affect Disord Rep. 2023;14:100643. doi: 10.1016/j.jadr.2023.100643.
  5. Mishra J, Behera MR, Mitra R, Samanta P, Mahapatra PK, Kar S. Prevalence and Impact of Internet Addiction Disorder Among Adolescents and Young Adults. Open Public Health J. 2024;17. doi: 10.2174/0118749445345806241010081642.
  6. Kumar T, Rajendran V, Dutta G, Ambwani S, Lal H, Ram K, and colleagues Prevalence of Internet Addiction and Impact of Internet Socialization on Professional, Academic, Social Lives and Sleep Pattern Among Students and Professionals from Various Fields Across India. Adv Med Educ Pract. 2023;14:1369-78. doi: 10.2147/amep.s438215. PubMed PMID: 38089457; PubMed Central PMCID: MCPMC10714960.
  7. Firoozi M, Firoozi AA, Karimi Riabi E. The Global Prevalence of Internet Addiction in Adolescents Post-COVID-19 Period: Examining Iran's Situation. WSPS. 2022;6(4):673-703. doi: 10.22059/wsps.2023.358588.1346.
  8. Mohammadkhani P, Alkasir E, Pourshahbaz A, Jafarian Dehkordi F, Soleimani Sefat E. Internet Addiction in High School Students and Its Relationship With the Symptoms of Mental Disorders. Iran Rehabil J.. 2017;15(2):141. doi: 10.18869/nrip.irj.15.2.141.
  9. Caplan SE. Theory and measurement of generalized problematic Internet use: A two-step approach. Comput Human Behav. 2010;26(5):1089-97. doi: 10.1016/j.chb.2010.03.012.
  10. Yu Y, Sun H, Gao F. Susceptibility of Shy Students to Internet Addiction: A Multiple Mediation Model Involving Chinese Middle-School Students. Front Psychol. 2019;10:1275. doi: 10.3389/fpsyg.2019.01275. PubMed PMID: 31191423; PubMed Central PMCID: PMC6549447.
  11. Sun Y, Wang Y, Yu H, Liu J, Feng X. The effect of physical activities on internet addiction in college students: the mediating effect of self-control. Front Psychol. 2025;16:1530740. doi: 10.3389/fpsyg.2025.1530740. PubMed PMID: 39973945; PubMed Central PMCID: PMC11835871.
  12. Mun SY, Lee BS. [Effects of an Integrated Internet Addiction Prevention Program on Elementary Students' Self-regulation and Internet Addiction]. J Korean Acad Nurs. 2015;45(2):251-61. doi: 10.4040/jkan.2015.45.2.251. PubMed PMID: 25947187.
  13. Chupradit S, Tonghom T, Chupradit PW, Sookruay T. Correlation Analysis between Internet Addiction and Self-Regulation among Thai University Students. J Exp Biol Agric Sci. 2022;10(4):846-51. doi: doi.org/10.18006/2022.10(4).846.851.
  14. Bilge M, Uçan G, Baydur H. Investigating the Association Between Adolescent Internet Addiction and Parental Attitudes. Int J Public Health. 2022;67:1605065. doi: 10.3389/ijph.2022.1605065. PubMed PMID: 36299409; PubMed Central PMCID: PMC9589515.
  15. Şan İ, Orhan Karsak HG, İzci E, Öncül K. Internet addiction of university students in the Covid-19 process. Heliyon. 2024;10(8):e29135. doi: 10.1016/j.heliyon.2024.e29135. PubMed PMID: 38644879; PubMed Central PMCID: PMC11033117.
  16. Molavi P, Mikaeili N, Ghaseminejad MA, Kazemi Z, Pourdonya M. Social Anxiety and Benign and Toxic Online Self-Disclosures: An Investigation Into the Role of Rejection Sensitivity, Self-Regulation, and Internet Addiction in College Students. J Nerv Ment Dis. 2018;206(8):598-605. doi: 10.1097/NMD.0000000000000855. PubMed PMID: 30020206.
  17. Lu X, Zhang M, Zhang J. The relationship between social support and Internet addiction among Chinese college freshmen: A mediated moderation model. Front Psychol. 2023;13:1031566. doi: 10.3389/fpsyg.2023.1031566. Erratum in: Front Psychol. 2023;14:1156399. doi: 10.3389/fpsyg.2023.1156399. PubMed PMID: 36687930; PubMed Central PMCID: PMC9854806.
  18. Guo J, Huang N, Fu M, Ma S, Chen M, Wang X, and colleagues Social support as a mediator between Internet addiction and quality of life among Chinese high school students. Child Youth Serv Rev. 2021;129:106181. doi: 10.1016/j.childyouth.2021.106181.
  19. Hoang HT, Nguyen HTH, Ngo GQ, Viet Le H, Doan TT, Nguyen TP. The Impact of Perceived Social Support on Internet Addiction Among Vietnamese Undergraduates: The Mediating Role of Emotional Intelligence. J Appl Soc Sci (Boulder). 2023;17(1):132-47. doi: 10.1177/19367244221121087.
  20. Bağatarhan T. Investigating the mediating effect of resilience in the relationship between self-efficacy, happiness, social support, and Internet addiction in adolescents. Curr Psychol. 2025;44(12):11591-602. doi: 10.1007/s12144-025-07931-8.
  21. Kamran A, Mirmahdei sr, ghaziesaedie z. Developing a structural model of cyber victimization based on Internet addiction and perceived social support with the mediating role of personality traits. Social Psychology Research. 2024;14(55):71-86. doi: 10.22034/spr.2024.441676.1915. [In Persian]
  22. Agbaria Q, Bdier D. The Role of Social Support and Subjective Well-Being as Predictors of Internet Addiction among Israeli-Palestinian College Students in Israel. Int J Ment Health Addict. 2021;19(5):1889-902. doi: 10.1007/s11469-020-00282-4.
  23. Saeed M. Role of perceived social support as a predictor of Internet addiction with the mediating effect of life satisfaction among international students in China. International Journal of Future Generation Communication and Networking. 2020;13(3):1382-95.
  24. Billore S, Anisimova T, Vrontis D. Self-regulation and goal-directed behavior: A systematic literature review, public policy recommendations, and research agenda. J Bus Res. 2023;156:113435. doi: 10.1016/j.jbusres.2022.113435.
  25. Li S, Ren P, Chiu MM, Wang C, Lei H. The Relationship Between Self-Control and Internet Addiction Among Students: A Meta-Analysis. Front Psychol. 2021;12:735755. doi: 10.3389/fpsyg.2021.735755. PubMed PMID: 34899477; PubMed Central PMCID: PMC8653951.
  26. Pino MJ, Herruzo C, Lucena V, Trenados Y, Herruzo J. A study of impulsivity as a predictor of problematic internet use in university students with disabilities. Front Psychiatry. 2024;15:1443289. doi: 10.3389/fpsyt.2024.1443289. PubMed PMID: 39502296; PubMed Central PMCID: PMC11534674.
  27. Gioia F, Rega V, Boursier V. Problematic Internet Use and Emotional Dysregulation Among Young People: A Literature Review. Clin Neuropsychiatry. 2021;18(1):41-54. doi: 10.36131/cnfioritieditore20210104. PubMed PMID: 34909019; PubMed Central PMCID: MCPMC8629046.
  28. Zhao G, Wu X, Xiao L, Liu S, Li J, Wu H. The relationship between adolescent impulsivity, mental health, and Internet addiction: a latent profile analysis. Psychol Health Med. 2024;29(5):1063-76. doi: 10.1080/13548506.2023.2289478. PubMed PMID: 38053313.
  29. Salehi M, Abbaspour Z, Molana A, Shahini N. Impulsivity, inhibition, and Internet addiction in medical students of North of Iran. Front Psychiatry. 2022;13:1002625. doi: 10.3389/fpsyt.2022.1002625. PubMed PMID: 36741579; PubMed Central PMCID: MCPMC9892633.
  30. Wang W, Ye J, Zhu Y, Huang D, Zhao X. Longitudinal relationship between Internet self-control and problematic Internet use among Chinese adolescents: mediating role of meaning in life. Front Psychiatry. 2023;14:1258673. doi: 10.3389/fpsyt.2023.1258673. PubMed PMID: 38144476; PubMed Central PMCID: MCPMC10748819.
  31. Acoba EF. Social support and mental health: the mediating role of perceived stress. Front Psychol. 2024;15:1330720. doi: 10.3389/fpsyg.2024.1330720. PubMed PMID: 38449744; PubMed Central PMCID: PMC10915202.
  32. Cui X, Chi X. The Relationship Between Social Support and Internet Addiction Among Chinese Adolescents During the COVID-19 Pandemic: A Multiple Mediation Model of Resilience and Post-Traumatic Stress Disorder Symptoms. Psychol Res Behav Manag. 2021;14:1665-74. doi: 10.2147/prbm.s305510. PubMed PMID: 34675706; PubMed Central PMCID: MCPMC8517982.
  33. Çelikkaleli Ö, Ata R. The effect of basic need dissatisfaction and lack of social support on problematic Internet use in emerging adults: The mediating role of regulatory emotional self-efficacy. Acta Psychol (Amst). 2025;254:104857. doi: 10.1016/j.actpsy.2025.104857. PubMed PMID: 40054082.
  34. Büyükşahin Çevik G, Yıldız M. The Roles of Perceived Social Support, Coping, and Loneliness in Predicting Internet Addiction in Adolescents. J Educ Pract. 2017;8(12):64-73.
  35. Tajvar M, Grundy E, Fletcher A, Allen E, Karami B. Role of family factors in provision and perception of social support for older people in Iran: a cross-sectional survey. BMC Prim Care. 2023;24(1):279. doi: 10.1186/s12875-023-02236-w. PubMed PMID: 38114933; PubMed Central PMCID: PMC10729568.
  36. Karimian Z, Moradi M, Zarifsanaiey N. Exploring the relationship between contextual factors and health-promoting lifestyle profile (HPLP) among medical students: A cross-sectional study. Health Sci Rep. 2024;7(4):e2040. doi: 10.1002/hsr2.2040. PubMed PMID: 38650720; PubMed Central PMCID: PMC11033496.
  37. Salehi M, Ramezani M, Namiranian N, Salehi M. Validity and reliability of the Chen Internet addiction scale. Fundamentals of Mental Health. 2012;14(55):45-236. doi: 10.22038/jfmh.2012.941. [In Persian]
  38. Ko CH, Yen JY, Yen CF, Chen CC, Yen CN, Chen SH. Screening for Internet addiction: an empirical study on cut-off points for the Chen Internet Addiction Scale. Kaohsiung J Med Sci. 2005;21(12):545-51. doi: 10.1016/s1607-551x(09)70206-2. PubMed PMID: 16670046; PubMed Central PMCID: MCPMC11918109.
  39. Vaux A, Phillips J, Holly L, Thomson B, Williams D, Stewart D. The social support appraisals (SS-A) scale: Studies of reliability and validity. Am J Community Psychol. 1986;14(2):195-218. doi: 10.1007/BF00911821.
  40. O'Reilly BK. The Social Support Appraisals Scale: construct validation for psychiatric inpatients. J Clin Psychol. 1995;51(1):37-42. doi: 10.1002/1097-4679(199501)51:1<37::aid-jclp2270510107>3.0.co;2-o. PubMed PMID: 7782472.
  41. Torkian S, Akhlaghi E, Khosravi V, Etesami R, Ahmadi A, Khanjani N, and colleagues Social Support and Adjustment during COVID-19 Epidemic: A Community-Based Study in Iran. Iran J Psychiatry Behav Sci.2020;14(4):e108503. doi: 10.5812/ijpbs.108503.
  42. Chen YH, Lin YJ. Validation of the Short Self-Regulation Questionnaire for Taiwanese College Students (TSSRQ). Front Psychol. 2018;9:259. doi: 10.3389/fpsyg.2018.00259. PubMed PMID: 29551987; PubMed Central PMCID: PMC5840206.
  43. Mosalanejad L, Keshavarz M, Ghanateyan S, Maghsodzadeh S. Validation and Evaluation of Online an Self-Regulation Questionnaire for Students Using Online Native Learning Management Systems. Res Health Med. 2023;2(1):10-22.
  44. Kline RB. Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford Press; 2016.
  45. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001;52:1-26. doi: 10.1146/annurev.psych.52.1.1. PubMed PMID: 11148297.
  46. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55(1):68-78. doi: 10.1037//0003-066x.55.1.68. PubMed PMID: 11392867.
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