Socio-demografski faktori povezani sa zavisnošću od interneta kod adolescenata u Srbiji

  • Ana Pjevač University of Kragujevac, Faculty of Medical Sciences, Kragujevac, Serbia
  • Teodora Safiye State University of Novi Pazar, Department of Psychology, Novi Pazar, Srbija
  • Mirjana Jovanović University Clinical Hospital Center of Kragujevac, Psychiatric Clinic, Serbia
Ključne reči: adolescenti;, internet, korišćenje;, ankete i upitnici;, zavisnost od tehnologije

Sažetak


Uvod/Cilj. Termin „zavisnost od interneta” (ZoI) opisuje kompulzivno ponašanje koje je povezano sa bilo kojom aktivnošću na internetu koje ometa svakodnevne društvene interakcije. Cilj rada bio je da se utvrde faktori rizika i prediktori razvoja ZoI kod adolescenata. Metode. Podaci u ovom istraživanju prikupljeni su uz pomoć online upitnika sačinjenog od demografskih podataka, pitanja u vezi sa upotrebom interneta i Testa za ispitivanje zavisnosti od interneta (verzija za adolescente). Rezultati. Ukupno 1 669 ispitanika učestvovalo je u ovom istraživanju; 1 040 (62,3%) ispitanika bilo je ženskog pola, 590 (35,4%) muškog i 39 (2,3%) ispitanika nije želelo da se izjasni po pitanju polne pripadnosti. Prosečno životno doba ispitanika bilo je 15,09 ± 1,757 godina. Značajni faktori u modelu multivarijantne faktorske analize bili su životno doba, učestalost upotrebe psihoaktivnih supstanci, svrha i vreme provedeno na internetu (p < 0,05). Rezultati analize pokazuju da su viši rizik od razvoja ZoI imali adolescenti koji su provodili 1–3 sata i više od 3 sata dnevno na internetu (2,8 i 8,2 puta, redom). Povećanjem broja godina za jednu jedinicu (godinu) rizik od razvoja ZoI smanjivao se za 11,3%. Zaključak. Ovim istraživanjem dokazana je povezanost između ZoI i životnog doba, učestalosti upotrebe psihoaktivnih supstanci, svrhe i vremena provedenog na internetu. Važno je istaći dobjene rezultate kako bi prosvetni radnici i svi oni koji rade sa decom kreirali ciljane programe prevencije razvoja ZoI kod adolescenata.

Reference

Bickham DS. Current Research and Viewpoints on Inter-net Addiction in Adolescents. Curr Pediatr Rep 2021; 9(1): 1–10.

Lin MP. Prevalence of Internet Addiction during the COVID-19 Outbreak and Its Risk Factors among Junior High School Students in Taiwan. Int J Environ Res Pub-lic Health 2020; 17(22): 8547.

Shek DTL, Yu L, Sun RCF, Fan Y, et al. Internet Addic-tion. In: Pfaff DW, Volkow ND, Rubenstein J, editors. Neu-roscience in the 21st Century. 3rd ed. NY: Springer; 2022. pp. 4131–72.

Young KS, de Abreu CN. Internet addiction: A handbook and guide to evaluation and treatment. New Jersey: John Wiley & Sons Inc; 2010. p. 312.

Cao F, Su L. Internet addiction among Chinese adoles-cents: prevalence and psychological features. Child Care Health Dev 2007; 33(3): 275–81.

Weinstein A, Lejoyeux M. Internet addiction or excessive internet use. Am J Drug Alcohol Abuse 2010; 36(5): 277–83.

Kuss DJ, Griffiths MD, Binder JF. Internet addiction in stu-dents: Prevalence and risk factors. Comput Hum Behav 2013; 29(3): 959–66.

The World Bank. Individuals using the Internet (% of population). International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Data-base [Internet]. Washington: The World Bank; 2022 [cit-ed on 2024 April 10; accessed on 2024 April 16]. Available from: https://data.worldbank.org/indicator/IT.NET.USER.ZS

Ac-Nikolić E, Zarić D, Nićiforović-Šurković O. Prevalence of Internet Addiction among Schoolchildren in Novi Sad. Srp Arh Celok Lek 2015; 143(11–2): 719–25.

Živković S, Stojković N. Cyberspace – addiction or not: a limited case study of the Internet addiction among stu-dent population. Acad J Interdiscip Stud 2013; 2(11): 150–9.

Dukanac V, Džamonja-Ignjatović T, Milanović M, Popović-Ćitić B. Differences in temperament and character dimen-sions in adolescents with various conduct disorders. Vojnosanit Pregl 2016; 73(4): 353–9.

Černja I, Vejmelka L, Rajter M. Internet addiction test: Croatian preliminary study. BMC Psychiatry 2019; 19(1): 388.

World Medical Association. World Medical Association Dec-laration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2013; 310(20): 2191–4.

Jhala J, Sharma R. Internet Use Among Adolescents. J In-dian Assoc Child Adolesc Ment Health 2016; 12(1): 36–59.

Cheng C, Li AY. Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions. Cyberpsychol Behav Soc Netw 2014; 17(12): 755–60.

Kolaib AMA, Alhazmi AHH, Kulaib MMA. Prevalence of internet addiction and its associated factors among medi-cal students at Taiba University, Saudi Arabia. J Family Med Prim Care 2020; 9(9): 4797–800.

Karacic S, Oreskovic S. Internet Addiction Through the Phase of Adolescence: A Questionnaire Study. JMIR Ment Health 2017; 4(2): e11.

Jorgenson AG, Hsiao RC, Yen CF. Internet Addiction and Other Behavioral Addictions. Child Adolesc Psychiatr Clin N Am 2016; 25(3): 509–20.

Durkee T, Carli V, Floderus B, Wasserman C, Sarchiapone M, Apter A, et al. Pathological Internet Use and Risk-Behaviors among European Adolescents. Int J Environ Res Public Health 2016; 13(3): 294.

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2024/08/02
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