Original Article

Factors Related to Internet Addiction in Adolescents: A Cross-Sectional Study

Abstract

Background: The term "internet addiction" (IA) describes a compulsive behavior associated with any online activity that disrupts everyday social interactions. Main aim of this research was to determine variables and development predictors of Internet addiction.

Methods: A total of 1,669 respondents participated in this research; 1,040 of them (62.3%) were female, 590 (35.4%) were male, and 39 (2.3%) did not want to declare their gender. The average age of the respondents was 15.09±1.757. Data were collected using an online form consisted of demographic data, questions related to the use of the Internet, the Internet Addiction Scale, and the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego-auto questionnaire version (TEMPS-A) for adolescents.

Results: The relationship between Internet addiction and age, addictive substance use frequency, purpose, time spent on the internet, and type of temperament has been proven. Analysis results indicate that the risk of developing internet addiction is higher if an adolescent spends 1-3 hours and more than 3 hours daily (2.8 and 8.2 times, respectively). Increasing age numbers for 1 unit (year), the risk of internet addiction developing is decreasing by 11.3%. Hyperthymic temperament type decreases the risk of 70.9% of internet addiction developing.

Conclusion: It is important to highlight importance of our results since practitioners can utilize our findings to create targeted treatments and prevent internet addiction in adolescents.

1. Bickham DS (2021). Current Research and Viewpoints on Internet Addiction in Adolescents. Curr Pediatr Rep, 9 (1): 1-10.
2. Lin MP (2020). Prevalence of Internet Ad-diction during the COVID-19 Outbreak and Its Risk Factors among Junior High School Students in Taiwan. Int J Environ Res Public Health, 17 (22): 8547.
3. Shek DTL, Yu L, Sun RCF, Fan Y (2022). In-ternet Addiction. In: Neuroscience in the 21st Century. Eds, Pfaff DW, Volkow ND, Rubenstein J. Springer, New York, NY.
4. Young KS, de Abreu CN (2011). Internet ad-diction: A handbook and guide to evaluation and treatment. John Wiley & Sons, Inc.
5. Cao F, Su L (2007). Internet addiction among Chinese adolescents: prevalence and psychological features. Child Care Health Dev, 33 (3): 275-81.
6. Weinstein A, Lejoyeux M (2010). Internet addiction or excessive internet use. Am J Drug Alcohol Abuse, 36 (5): 277-83.
7. Kuss DJ, Griffiths MD, Binder JF (2013). Internet addiction in students: Preva-lence and risk factors. Computers in Hu-man Behavior, 29 (3): 959-66.
8. Černja I, Vejmelka L, Rajter M (2019). In-ternet addiction test: Croatian prelimi-nary study. BMC Psychiatry, 19: 388.
9. Akiskal HS, Mendlowicz MV, Jean-Louis G, et al (2005). TEMPS-A: validation of a short version of a self-rated instrument designed to measure variations in tem-perament. J Affect Disord, 85 (1-2): 45-52.
10. Jović J, Hinić D, Ćorac A, et al (2019). The Development of Temperament Evalua-tion of Memphis, Pisa, Paris, and San Diego - Auto-questionnaire for Adoles-cents (A-TEMPS-A) in a Serbian Sample. Psychiatr Danub, 31 (3): 308-15.
11. Lovibond SH, Lovibond PF (1995). Manual for the Depression Anxiety Stress Scales. 2nd ed. Psychology Foundation of Australia.
12. World Medical Association (2013). World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JA-MA, 310 (20): 2191-4.
13. Jhala J, Sharma R (2016). Internet Use Among Adolescents. J Indian Assoc Child Adolesc Ment Health, 12 (1): 36-59.
14. Bartosik NK, Frankowski R, Kobierecki M, et al (2023). The association between af-fective temperaments and depressive symptoms in a population of medical university students, Poland. Front Psychia-try, 14: 1077940.
15. Cheng C, Li AY (2014). Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions. Cyberpsychol Behav Soc Netw, 17 (12): 755-60.
16. Kolaib AMA, Alhazmi AHH, Kulaib MMA (2020). Prevalence of internet addiction and its associated factors among medi-cal students at Taiba University, Saudi Arabia. J Family Med Prim Care, 9 (9): 4797-800.
17. Karacic S, Oreskovic S (2017). Internet Ad-diction Through the Phase of Adoles-cence: A Questionnaire Study. JMIR Ment Health, 4 (2): e11.
18. Jorgenson AG, Hsiao RC, Yen CF (2016). Internet Addiction and Other Behavior-al Addictions. Child Adolesc Psychiatr Clin N Am, 25 (3): 509-20.
19. Durkee T, Carli V, Floderus B, et al (2016). Pathological Internet Use and Risk-Behaviors among European Adoles-cents. Int J Environ Res Public Health, 13 (3): 294.
Files
IssueVol 53 No 5 (2024) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/ijph.v53i5.15592
Keywords
Internet Addiction Adolescents Temperament

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Pjevac A, Safiye T, Mahmutovic E, Milidrag A, Radlovic A, Rajkovic Z, Milosavljevic S, Gogic A, Jovanovic M. Factors Related to Internet Addiction in Adolescents: A Cross-Sectional Study. Iran J Public Health. 2024;53(5):1104-1114.