The Structural Model for Predicting Psychological Well-Being in Adolescents with Nomophobia Based on Socioeconomic Status with the Mediating Role of Emotion Regulation
Keywords:
Nomophobia, Socioeconomic Status, Emotion Regulation,, Psychological Well-Being, AdolescentsAbstract
Purpose: This study aimed to develop and test a structural model predicting psychological well-being in adolescents with nomophobia based on socioeconomic status, with the mediating role of emotion regulation.
Methods and Materials: The study employed a descriptive–correlational design with an applied objective. The statistical population consisted of all female secondary school students with nomophobia in Tehran during the 2023–2024 academic year. Using multistage cluster sampling, 304 participants were selected from four districts of Tehran. Data were collected using the Nomophobia Questionnaire (Azadmanesh et al., 2016), Ryff’s Psychological Well-Being Scale – Short Form (Ryff, 1989), the Socioeconomic Status Questionnaire (Ghodratnama, 2013), and the Emotion Regulation Questionnaire (Gross & John, 2003). Data analysis was conducted using Pearson correlation tests, confirmatory factor analysis, and structural equation modeling with SPSS-V27 and AMOS-V3.3.
Findings: Results indicated that socioeconomic status was positively and significantly related to psychological well-being in adolescents with nomophobia. Reappraisal, as a strategy of emotion regulation, showed a positive and significant association with psychological well-being (β = 0.312, p < 0.001), while suppression exhibited a negative and significant relationship with psychological well-being (β = -0.270, p < 0.001). The mediating analysis demonstrated that reappraisal significantly mediated the relationship between socioeconomic status and psychological well-being (β = 0.096, p = 0.008), whereas suppression did not yield a significant mediating effect (p = 0.181). The overall structural model explained 69% of the variance in psychological well-being among adolescents with nomophobia.
Conclusion: The findings highlight the pivotal role of socioeconomic status and emotion regulation strategies in shaping psychological well-being in adolescents with nomophobia. While higher socioeconomic status directly supports well-being, adaptive strategies such as reappraisal enhance these effects, whereas suppression undermines them.
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References
Aslani, H., Alivandi Vafa, M., & Panah-Ali, A. (2023). Comparing the effectiveness of cognitive, metacognitive, and emotion regulation strategy training on the psychological well-being of male high school students with low academic performance. Psychological Science, 22(127), 567-580. https://psychologicalscience.ir/browse.php?a_id=2032&sid=1&slc_lang=en
Ayala, M. J., Alegre de la Rosa, O. M., Chambi Catacora, M. A. D. P., Vargas Onofre, E., Cari Checa, E., & Díaz Flores, D. (2025). Nomophobia, phubbing, and deficient sleep patterns in college students. Frontiers in Education, 9, 1421162. https://doi.org/10.3389/feduc.2024.1421162
Barakat, C., & Konstantinidis, T. (2023). A review of the relationship between socioeconomic status change and health. International journal of environmental research and public health, 20(13), 6249. https://doi.org/10.3390/ijerph20136249
Boggero, A., Puente, G. D., & Bragazzi, N. L. (2022). Selfie takers are Nomophobic? A Correlational Study Between Selfie Addiction, Nomophobia, Locus of Control and Validationof Selfie -Liking Scale in Italian Language. Biomedical Journal of Scientific & Technical Research, 42(3), 33752-33761. https://doi.org/10.26717/BJSTR.2022.42.006769
Catone, G., Senese, V. P., Pisano, S., Siciliano, M., Russo, K., Muratori, P., & Broome, M. R. (2020). The drawbacks of Information and Communication Technologies: Interplay and psychopathological risk of nomophobia and cyberbullying, results from the bullying and youth mental health Naple's study (BYMHNS). Computers in human Behavior, 113. https://doi.org/10.1016/j.chb.2020.106496
Dadfarnia, S., Seifi Kashani, F., Mahdieh, A., & Ezoddini, M. (2023). Predicting emotion regulation based on dimensions of personality traits and spiritual intelligence. Third National Conference on Psychology and Health: From Adaptation to Well-being, Shiraz, Iran.
Fokker, E., Zong, X., & Treur, J. (2021). A second-order adaptive network model for emotion regulation in addictive social media behaviour. Cognitive Systems Research, 70, 52-62. https://doi.org/10.1016/j.cogsys.2021.07.006
Fortuna, D. D. (2024). The Influence of Emotional Regulation on Internet Addiction towards Students Who Use Online Gambling Sites and Applications. Trend: International Journal of Trends in Global Psychological Science and Education, 1(3), 69-77. https://doi.org/10.62260/intrend.v1i3.166
Gioia, F., Rega, V., & Boursier, V. (2021). Problematic Internet Use and Emotional Dysregulation among Young People: A Literature Review. Clinical Neuropsychiatry, 18(1), 41-54. https://pubmed.ncbi.nlm.nih.gov/34909019/
Karaer, Y., & Akdemir, D. (2019). Parenting styles, perceived social support and emotion regulation in adolescents with internet addiction. Comprehensive Psychiatry, 92, 22-27. https://doi.org/10.1016/j.comppsych.2019.03.003
Khan, S., Atta, M., Malik, N. I., & Makhdoom, I. F. (2021). Prevalence and Relationship of Smartphone Addiction, Nomophobia, and Social Anxiety among College and University Late Adolescents. İlköğretim Online, 20(5). https://ilkogretim-online.org/index.php/pub/article/view/5960
Kolah-Kaj, B., Khalatbari, J., Salahian, A., & Nasrollahi, B. (2023). Predicting nomophobia based on attachment styles with the mediating role of loneliness in adolescents. Applied Family Therapy, 4(3), 210-225. https://doi.org/10.61838/kman.aftj.4.3.9
Marler, E. K., Bruce, M. J., Abaoud, A., Henrichsen, C., Suksatan, W., Homvisetvongsa, S., & Matsuo, H. (2021). The impact of COVID-19 on university students' academic motivation, social connection, and psychological well-being. Scholarship of Teaching and Learning in Psychology. https://www.researchgate.net/publication/353415647_The_impact_of_COVID-19_on_university_students%27_academic_motivation_social_connection_and_psychological_well-being
Montag, C., Demetrovics, Z., Elhai, J. D., Grant, D., Koning, I., Rumpf, H. J., Spada, M. M., Throuvala, M., & van den Eijnden, R. (2024). Problematic social media use in childhood and adolescence. Addictive behaviors, 107980. https://doi.org/10.1016/j.addbeh.2024.107980
Myhr, A., Naper, L. R., Samarawickrema, I., & Vesterbekkmo, R. K. (2021). Impact of COVID-19 pandemic lockdown on mental well-being of Norwegian adolescents during the first wave-socioeconomic position and gender differences. Frontiers in Public Health, 9, 717747. https://doi.org/10.3389/fpubh.2021.717747
Nathan, N., & Zeitzer, J. (2018). A survey study of the association between mobile phone use and daytime sleepiness in California high school students. BMC public health, 13(1), 840. https://doi.org/10.1186/1471-2458-13-840
O'Dea, S. (2021). Number of smartphone users worldwide from 2016 to 2023. Statista Research Department.
Oliveira, J., Pedras, S., Inman, R. A., & Ramalho, S. M. (2024). Latent profiles of emotion regulation among university students: links to repetitive negative thinking, internet addiction, and subjective wellbeing. Frontiers in psychology, 15, 1272643. https://doi.org/10.3389/fpsyg.2024.1272643
Parchami Khoram, M., Imani, S., & Ansari, D. (2022). Predicting psychological well-being based on basic psychological needs: The mediating role of social media addiction. Behavioral Sciences Research, 20(2), 317-328. https://doi.org/10.52547/rbs.20.2.317
Parsakia, K., Rostami, M., & Saadati, S. M. (2023). Validity and reliability of the Digital Self-Efficacy Scale in an Iranian sample. Journal of Adolescent and Youth Psychological Studies, 4(4), 125-133. https://doi.org/10.61838/kman.jayps.4.4.15
Sadrnejad, M. (2022). The relationship between psychological well-being, loneliness, and quality of life with addiction to virtual social networks (with an emphasis on Instagram) among high school students in Amol county. Applied Researches in Management and Humanities, 3(6), 45-58. https://elmnet.ir/doc/2704208-80127
Safari, L. (2023). The impact of internet addiction on psychological well-being and aggression in students. Pajhohesh-e Melal, 95, 32-45. https://rnmagz.com/article/782/
Schwaiger, E., & Tahir, R. (2022). The impact of nomophobia and smartphone presence on fluid intelligence and attention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 16(1). https://doi.org/10.5817/CP2022-1-5
Van Wilder, L., Pype, P., Mertens, F., Rammant, E., Clays, E., Devleesschauwer, B., Boeckxstaens, P., & De Smedt, D. (2021). Living with a chronic disease: insights from patients with a low socioeconomic status. BMC Family Practice, 22, 1-11. https://doi.org/10.1186/s12875-021-01578-7
Visser, K., Bolt, G., Finkenauer, C., Jonker, M., Weinberg, D., & Stevens, G. W. (2021). Neighbourhood deprivation effects on young people's mental health and well-being: A systematic review of the literature. Social Science & Medicine, 270, 113542. https://doi.org/10.1016/j.socscimed.2020.113542
Wang, H., Liu, H., Zhou, L., Bi, X., Tao, J., Jiang, Y., & Zhang, R. (2024). Harsh Parenting and Internet Addiction: The Chain Mediating Effect of Emotional Regulation Difficulties and Maladaptive Cognitions. Perspectives in psychiatric care, 2024(1), 7334182. https://doi.org/10.1155/2024/7334182
Wang, M. T., Henry, D. A., Del Toro, J., Scanlon, C. L., & Schall, J. D. (2021). COVID-19 employment status, dyadic family relationships, and child psychological well-being. Journal of Adolescent Health, 69(5), 705-712. https://doi.org/10.1016/j.jadohealth.2021.07.016
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Copyright (c) 2025 Leila Bahrampouri (Author); Marzieh Gholamitooranposhti (Corresponding author); Mohammad Ghamari (Author)

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