International Association of Educators   |  ISSN: 2834-7919   |  e-ISSN: 1554-5210
International Journal of Progressive Education
International Association of Educators

Original article | International Journal of Progressive Education 2023, Vol. 19(3) 27-44

Predicting Digital Addiction in Adolescents: The Role of Perceived Social Support and Well-Being Variables

Zöhre Kaya, Mehmet Sıddık Vangölü, Mevlüt Marufoğlu & Mehmet Özdemir

pp. 27 - 44   |  DOI: https://doi.org/10.29329/ijpe.2023.546.2   |  Manu. Number: MANU-2208-11-0004.R1

Published online: June 01, 2023  |   Number of Views: 35  |  Number of Download: 106

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Abstract

The aim of this study is to examine the role of perceived social support and well-being variables in predicting digital addiction levels in adolescents. The participants in this study, which was conducted based on a correlational research model, comprised 876 adolescents, of whom 55.5% (n = 486) were female and 44.5% (n = 390) were male, studying in different types of high schools during the 2018-2019 academic year and determined according to the convenience sampling method.The revised Perceived Social Support Scale (PSSS-R), the Digital Addiction Scale (DAC) and the five-dimensional Measure of Adolescent Well-Being (EPOCH) were used for collection of the research data.In the analysis of the data, descriptive statistics, Pearson correlation test and hierarchical regression analysis were utilized.The research findings revealed that perceived social support was significantly positively correlated with well-being and significantly negatively correlated with digital addiction. Similarly, statistically significant relationships were found between well-being and the sub-dimensions of digital addiction. In addition, the results show that perceived social support and well-being variables significantly predicted digital addiction and that these two variables together explained 7% of the change in digital addiction scores. Based on the findings of the study, it can be stated not only that perceived social support has a direct effect on digital addiction, but also that this effect increases through well-being.

Keywords: Perceived Social Support, Well-Being, Digital Addiction, Adolescent

How to Cite this Article?

APA 6th edition
Kaya, Z., Vangolu, M.S., Marufoglu, M. & Ozdemir, M. (2023). Predicting Digital Addiction in Adolescents: The Role of Perceived Social Support and Well-Being Variables . International Journal of Progressive Education, 19(3), 27-44. doi: 10.29329/ijpe.2023.546.2

Harvard
Kaya, Z., Vangolu, M., Marufoglu, M. and Ozdemir, M. (2023). Predicting Digital Addiction in Adolescents: The Role of Perceived Social Support and Well-Being Variables . International Journal of Progressive Education, 19(3), pp. 27-44.

Chicago 16th edition
Kaya, Zohre, Mehmet Siddik Vangolu, Mevlut Marufoglu and Mehmet Ozdemir (2023). "Predicting Digital Addiction in Adolescents: The Role of Perceived Social Support and Well-Being Variables ". International Journal of Progressive Education 19 (3):27-44. doi:10.29329/ijpe.2023.546.2.
References
  1. Almaliki, M., & Ali, R. (2016). Persuasive and culture-aware feedback acquisition. In International Conference on Persuasive Technology (pp. 27-38). Springer, Cham. [Google Scholar]
  2. Almourad, M. B., McAlaney, J., Skinner, T., Pleya, M., & Ali, R. (2020). Defining digital addiction: Key features from the literature. Psihologija, 53(3), 237-253. [Google Scholar]
  3. Alrobai, A. (2018). Engineering social networking to combat digital addiction: Thecase of online peergroups (Unpublished doctoral dissertation). Bournemouth University. [Google Scholar]
  4. Altınok, M. (2021). Investigation of high school students' digital addiction and life satisfaction. The Journal of Turkish Educational Sciences, 19 (1), 262-291. Doi: 10.37217/tebd.68977 [Google Scholar]
  5. Arseven, İ. (2020).Examination of the correlation between digital addiction levels and self-regulated learning abilities of high school students . EKEV Academy Journal, 82, 173-196. Doi: 10.17753/Ekev1382. [Google Scholar]
  6. Arslan, A. (2019). Determination of the digital addiction levels of students in high school according to various variables: Sivas province sample. Gazi Journal of Education Sciences (GJES), 5(2), 63-80.DOI: https://dx.doi.org/10.30855/gjes.2019.05.02.004 [Google Scholar]
  7. Arslan, A. (2020). Determination of the digital addiction levels of students university according to various variables. International e-Journal of Educational Studies, 4(7), 27-41. [Google Scholar]
  8. Arslan, A., Kırık, A. M., Karaman, M., &Çetinkaya, A. (2015). Digital addiction in high school and university students. International Peer-Reviewed Journal of Communication and Humanities Research, 8(8), 34-58. [Google Scholar]
  9. Ateş, S. (2021). Turkey youth research report. Available from: https://sam.iftam.net/kategori/akademik-calismalar/kamuoyu. Retrieved: November 7, 2021 [Google Scholar]
  10. Aziz, N., Nordin, M. J., Abdulkadir, S. J., & Salih, M. M. M. (2021). Digital addiction: systematic review of computer game addiction impact on adolescent physical health. Electronics, 10(9), 996. [Google Scholar]
  11. Barrera, M. (1986). Distinctions between social support concepts, measures, and models. American Journal of Community Psychology, 14(4), 413-445. [Google Scholar]
  12. Baysan, Ç., Eş, A. Ç., &Tezer, M. (2019). Investigation of digital game addiction of adolescents in terms of subjective well-being in school. Anatolian Journal of Psychiatry, 20, 17-20. [Google Scholar]
  13. Blau, I., Goldberg, S., &Benolol, N. (2019). Purpose and life satisfaction during adolescence: The role of meaning in life, social support, and problematic digital use. Journal of Youth Studies, 22(7), 907-925. [Google Scholar]
  14. Büyüköztürk, S. (2011). Data Analysis Handbook for Social Sciences (14rd edition). Pegem Academy Publishing. [Google Scholar]
  15. Büyüköztürk, S., KılıçÇakmak, E., Akgün, Ö. E., Karadeniz, S., &Demirel, F. (2017). Scientific Research Methods (23rd edition). Pegem Academy Publishing. [Google Scholar]
  16. Can, A. (2019). SPSS ile Bilimsel Araştırma Sürecinde Nicel Veri Analizi (8. Bs.). PegemAkademi. [Google Scholar]
  17. Can, B., Hazar, Z., & Kurt, S. (2021). Analysis of social media addiction levels of high school students who play sports and do not do sports according to some variables. Sports Science Journal of Gaziantep University, 6(1), 15-39. DOI: 10.31680/gaunjss.801906 [Google Scholar]
  18. Caner, N., & Evgin, D. (2021). Digital risks and adolescents: The relationships between digital game addiction, emotional eating, and aggression. International journal of mental health nursing, 30(6), 1599-1609. [Google Scholar]
  19. Caplan, S. E. (2005). A social skill account of problematic internet use. Journal of Communication, 55(4), 721–736. [Google Scholar]
  20. Cemiloglu, D., Almourad, M. B., McAlaney, J., & Ali, R. (2022). Combatting digital addiction: Current approaches and future directions. Technology in Society, 68, 101832. [Google Scholar]
  21. Ceyhan, A. A. (2011). Predictors of adolescents’ problematic Internet use levels. Turkish Journal of Child and Adolescent Mental Health, 18 (2), 85-94. [Google Scholar]
  22. Cham, S., Algashami, A., Aldhayan, M., McAlaney, J., Phalp, K. T., Almourad, M. B., & Ali, R. (2019). Digital addiction: Negative life experiences and potential for technology-assisted solutions. New Knowledge in Information Systems and Technologies, 93. [Google Scholar]
  23. Cham, S., Algashami, A., Aldhayan, M., McAlaney, J., Phalp, K. T., Almourad, M. B., & Ali, R. (2019). Digital addiction: Negative life experiences and potential for technology-assisted solutions. In World Conference on Information Systems and Technologies (921-931). Springer. doi.org/10.1007/978-3-030-16184-2_87 [Google Scholar]
  24. Christakis, D. A. (2019). The challenges of defining and studying “digital addiction” in children. Jama, 321(23), 2277-2278. [Google Scholar]
  25. Cihangir-Cankaya, Z. (2009). The satisfaction of basic psychological needs and subjective well-being in teacher candidates. The Journal of Turkish Educational Sciences (JTES), 7(3), 691-711. [Google Scholar]
  26. Dahl, D., & Bergmark, K. H. (2020). Persistence in problematic internet use—A systematic review and meta-analysis. Frontiers in Sociology, 5, 30. [Google Scholar]
  27. Davis, R. A. (2001). A cognitive-behavioral model of pathological Internet use. Journal of Management Policy and Practice, 17(2), 187–195. doi.org/10.1016/S0747-5632(00)00041-8 [Google Scholar]
  28. Deci, E. L., & Ryan, R. M. (2008). Hedonia, eudaimonia, and well-being: An introduction. Journal of Happiness Studies, 9(1), 1-11. [Google Scholar]
  29. Demirci, İ., & Ekşi, F. (2015). Five dimensionalwell being model for adolescents: the Turkish form of the epoch scale validity and reliability. Journal of Youth Research, 3(3), 9-30. [Google Scholar]
  30. Deniz, E., & Kazu, H. (2021). The impact of perceived social support on middle school students' social media attitudes through path analysis. Electronic Journal of Social Sciences, 20(78), 892-910. [Google Scholar]
  31. Derin, S., & Bilge, F. (2016). Internet addiction and the level of subjective well-being in adolescents. Turkish Psychological Counseling and Guidance Journal ,6 (46) , 35-51.  [Google Scholar]
  32. Duradoni, M., Innocenti, F., & Guazzini, A. (2020). Well-being and social media: A systematic review of Bergen addiction scales. Future Internet, 12(2), 24. [Google Scholar]
  33. Echeburúa, E., & De Corral, P. (2009). Addictiontonew Technologies andto online socialnetworking in youngpeople: A newchallenge. Adicciones, 22(2). [Google Scholar]
  34. Ektiricioğlu, C. ,Arslantaş, H., &Yüksel, R. (2020). The disorder of the era in adolescents: Technology addiction. Archives Medical Review Journal,29(1), 51-64.DOI: 10.17827/aktd.498947 [Google Scholar]
  35. Emser, T., & Christiansen H. (2021). Perceived social support in children and adolescents with ADHD. Research in Developmental Disabilities, 111. [Google Scholar]
  36. Eryılmaz, S., & Çukurluöz, Ö. (2018). Examination of high school students digitaladdiction: Province of Ankara, Çankaya district sample. Electronic Journal of Social Sciences. 17(67), 889-912. [Google Scholar]
  37. Griffiths, M. (1996). Gambling on the internet: A briefnote. Journal of Gambling Studies,12(4), 471–473. [Google Scholar]
  38. Griffiths, M. (2000). Does Internet and computer “addiction” exist? Some case study evidence. Cyber Psychology and Behavior, 3(2),211-219. doi:10.1089/109493100316067 [Google Scholar] [Crossref] 
  39. Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. [Google Scholar]
  40. Güney, M., & Taştepe, T. (2020). Social media usage and social media addiction in adolescents. Journal of Ankara Health Sciences, 9(2), 183-190. DOI: https://www.doi.org/10.46971/ausbid.757713 [Google Scholar]
  41. Gunuc, S., & Dogan, A. (2013). The relationships between Turkish adolescents’ internet addiction, their perceived social support and family activities. Computers in Human Behavior, 29(6), 2197–2207. https://doi.org/10.1016/j.chb.2013.04.011 [Google Scholar] [Crossref] 
  42. Ha, J. H., Yoo, H. J., Cho, I. H., Chin, B., Shin, D., & Kim, J. H. (2006). Psychiatric comorbidity assessed in Korean children and adolescents who screen positive for Internet addiction. The Journal of Clinical Psychiatry, 67(5), 821. [Google Scholar]
  43. Hamid, H. A., Dali, N. R. S. M., Bakar, A. A., & Sabri, F. (2020). Mitigating risks of digital addiction among adolescents in Malaysia: A Conceptual E-Addict Framework. E-Conference: Seminar Antarabangsa Islam dan Sains 2020, 1376-1383 [Google Scholar]
  44. Herrero, J., Torres, A., Vivas, P., &Urueña, A. (2019). Smartphone addiction and social support: A three-year longitudinal study. Psychosocial Intervention,28, 111-118. https://doi.org/10.5093/pi2019a6 [Google Scholar] [Crossref] 
  45. İlhan, A., & Taşkın, C. (2019). İnvestigation of the relationship between social support and physical activity levels of high school students. The Journal of Academic Social Science, 7(98), 307-313. [Google Scholar]
  46. James, C., Davis, K., Charmaraman, L., Kontrath, S., Slovak., P, Weinstein., E., &Yarosh, L. (2017). Digital life and youth well being, social connectedness, empathy, and narcissism. American Academy of Pediatric,140,71-75. DOI: https://doi.org/10.1542/peds.2016-1758F [Google Scholar] [Crossref] 
  47. Kaniasty, K., & Norris, F. (2008). Longitudinal linkages between perceived social support and posttraumatic stress symptoms: Sequential roles of social causation and social selection. Journal of Traumatic Stress, 21(3), 274–281. [Google Scholar]
  48. Kara, D. N. (2019). An evaluation of university students’ digital well- being. (Doctoral dissertation). YakınDoğu University.  [Google Scholar]
  49. Kartol, A., & Peker, A. (2020). The investigation of predictors of fear of missing out (fomo) in adolescents. International Journal of Society Researches, 15(21), 454-474. [Google Scholar]
  50. Kaşıkcı, F., Denli, Ö. S., & Karaman, N. G. (2021). Social media addiction and social exclusion in youth: The mediating role of self-control. Başkent University Journal of Education, 8(1), 147-159. [Google Scholar]
  51. Kaya, Z., Kaya, S. F., Sagun, A., & Koç, K. S. (2019). The analysis of risk behaviour tendencies of teenagers according to the use of wattpad and some socio-demographic variables. International Journal of Progressive Education, 15(6), 1-16. [Google Scholar]
  52. Kayri, M., Tanhan, F., & Tanrıverdi, S. (2014). The investigation of relation between internet addiction of secondary education students and perceived social support. Online Journal of Technology Addiction and Cyberbullying, 1(1), 33-59. [Google Scholar]
  53. Kern, M. L., Benson, L., Steinberg, E. A., & Steinberg, L. (2016). The EPOCH measure of adolescent well-being. Psychological Assessment, 28(5), 586. [Google Scholar]
  54. Kesici, A. (2019). Examining the effect of extraversion, frequency of social networks use, and gender on problematic use of social network among university students. Studies in Psychology, 39(1), 1-1.DOI: 10.26650/SP2018-0013 [Google Scholar]
  55. Klasen, F., Otto, C., Kriston, L., Patalay, P., Schlack, R., & Ravens-Sieberer, U. (2015). Risk and protective factors for the development of depressive symptoms in children and adolescents: Results of the longitudinal BELLA study. European Child & Adolescent Psychiatry,24(6), 695–703. https://doi.org/10.1007/s00787-014- [Google Scholar] [Crossref] 
  56. Kocayörük, E. (2012). Self-determination theory and relationship between perception of parents and emotional well-being of adolescents. Turkish Psychological Counseling & Guidance Journal, 4(37). [Google Scholar]
  57. Kuss, D. J., Kristensen, A. M., & Lopez-Fernandez, O. (2021). Internet addictions outside of Europe: A systematic literature review. Computers in Human Behavior, 115, 106621. [Google Scholar]
  58. Lei, H., Li, S., Chiu, M. M., & Lu, M. (2018). Social support and Internet addiction among mainland Chinese teenagers and young adults: A meta-analysis. Computers in Human Behavior, 85, 200-209. [Google Scholar]
  59. Liu, D., Baumeister, R. F., Yang, C. C., & Hu, B. (2019). Digital communication media use and psychological well-being: A meta-analysis. Journal of Computer-Mediated Communication, 24(5), 259-273. [Google Scholar]
  60. Meshi, D., & Ellithorpe M.E. (2021). Problematic social media use and social support received in real-life versus on social media: Associations with depression, anxiety and social isolation. Addictive Behaviors, 119.  [Google Scholar]
  61. Orford, J. (1985). Excessive appetites: A psychological view of addictions. John Wiley & Sons Ltd. [Google Scholar]
  62. Özyirmidokuz, E. K., & Karakaş, B. A. (2019). The role of social computing in the fight against digital addiction . 5th International Management Information Systems Conference (IMISC 2018) (pp.90-93). Ankara, Turkey. [Google Scholar]
  63. Peper, E., & Harvey, R. (2018). Digital addiction: Increased loneliness, anxiety, and depression. NeuroRegulation, 5(1), 3–8. http://dx.doi.org/10.15540/nr.5.1.3 [Google Scholar]
  64. Pérez-Martínez, V., Sanz-Barbero, B., Ferrer-Cascales, R., Bowes, N., Ayala, A., Sánchez-San Segundo, M., ... & Vives-Cases, C. (2021). The role of social support in machismo and acceptance of violence among adolescents in Europe: LightsViolence baseline results. Journal of Adolescent Health, 68(5), 922-929. [Google Scholar]
  65. Polat, Ü., &Kahraman-Bayrak, B. (2013). The relationship between the healthy life style behaviors of elderly individuals and the perceived social support. Fırat Med Journal, 18(4), 213-218. [Google Scholar]
  66. Qi, M., Zhou, S. J., Guo, Z. C., Zhang, L. G., Min, H. J., Li, X. M., & Chen, J. X. (2020). The effect of social support on mental health in Chinese adolescents during the out break of COVID-19. Journal of Adolescent Health, 67(4), 514-518. [Google Scholar]
  67. Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on hedonic and eudaimonicwell-being. Annual Review of Psychology, 52, 141-166. [Google Scholar]
  68. Ryff, C. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, https://doi.org/10.1037/0022-3514.57.6.1069 [Google Scholar] [Crossref] 
  69. Savcı, M., & Aysan, F. (2017). Technological addictions and social connectedness: Predictor effect of internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectedness. The Journal of Psychiatry and Neurological Sciences, 30(3), 202–216. https://doi.org/10.5350/DAJPN2017300304 [Google Scholar] [Crossref] 
  70. Schulz van Endert, T. (2021). Addictive use of digital devices in young children: Associations with delay discounting, self-control and academic performance. PloS one, 16(6), e0253058. [Google Scholar]
  71. Şentürk, E. (2017). Comparison of social media addiction between depression, anxiety disorder, mixed anxiety depressive disorder patients, control group and assessing the relationship between social media addiction and personality traits of users. (MasterThesis), Gazi University. [Google Scholar]
  72. Sevindik, F. (2011). Determination of problematic internet usage and healthy lifestyle behaviors in Fırat University students.(Ph.D. Thesis). İnönüUniversity. [Google Scholar]
  73. Sobol, M., Wozny, M., & Czubak-Paluch, K. (2021). Emotion regulation and social support as related to depressive symptoms: A study of healthy and hospitalized adolescents. Personality and Individual Differences, 174.  [Google Scholar]
  74. Süel, N., & Ünlü, H. (2019).  Loneliness and perceived social support: A research on physical education teacher candidates. Erzincan University Journal of Education Faculty, 22(1), 106-123. Doi: 10.17556/erziefd.515096 [Google Scholar]
  75. Totan, T., Ercan, B., &Öztürk, E. (2019). The effects of happiness and self-esteem on internet addiction with loneliness. Edu 7: Journal of Yeditepe University Faculty of Education, 8(10), 20–35.  [Google Scholar]
  76. Tudorel, O. I., & Vintilă, M. (2018). The role of social support on Internet addiction. Revista de AsistentaSociala, (1), 73-78. [Google Scholar]
  77. Türk, M. E. (2020). Investigation of the relationship between using social media, attachment styles, peer relationships and personality disorders in adolescents. Turkish Journal of Integrative Psychotherapy, 3(5), 97-112. [Google Scholar]
  78. Uz-Baş, A., Öz-Soysal, F. S., & Aysan, F. (2016). Relationship of problematic internet usage to psychological well-being and social support in college students. Journal of the Human and Social Sciences Researches, 5(4), 1035 [Google Scholar]
  79. Wang, E. S. T., & Wang, M. C. H. (2013). Social support and social interactionties on internet addiction: Integrating online and offline contexts. Cyberpsychology, Behavior, and Social Networking, 16(11), 843-849. [Google Scholar]
  80. Wu, X. S., Zhang, Z. H., Zhao, F., Wang, W. J., Li, Y. F., Bi, L., ... & Sun, Y. H. (2016). Prevalence of Internet addiction and its association with social support and other related factors among adolescents in China. Journal of Adolescence, 52, 103-111. [Google Scholar]
  81. Yavuz, O. (2018). Investigation of the levels of perceived social support and internet and game addiction in gifted students. Life Skills Journal of Psychology, 2(4), 281-296. [Google Scholar]
  82. Yengin, D. (2019). Digital addiction as technology addiction. The Turkish Online Journal of Design, Art and Communication,9(2), 130-144. [Google Scholar]
  83. Yıldırım, İ. (1997). Developing  perceived social support scale reliability and validity. Hacettepe University Journal of Education,13, 81-87. [Google Scholar]
  84. Yıldırım, İ. (2004). Revision of the scale of perceived social support. Eurasian Journal of Educational Research, 17,221-236.  [Google Scholar]
  85. Yılmaz, E., Yılmaz, E., &Karaca, F. (2008). Examining the level of social support and loneliness of university students. Journal of General Medicine,18(2), 71-79. [Google Scholar]
  86. Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology and Behavior, 1 (3), 237-244. 10.1089/cpb.1998.1.237 [Google Scholar]
  87. Young, K. S., & de Abreu, C. N. (2011). Internet addiction: A handbook and guide to evaluation and treatment. Hoboken, NJ: John Wiley & Sons Inc. [Google Scholar]
  88. Zhao, L. (2021). The impact of social media use types and social media addiction on subjective well-being of college students: A comparative analysis of addicted and non-addicted students. Computers in Human Behavior Reports, 4, 100-122. [Google Scholar]
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