Screen addiction and associated factors among grade-10 school children in Nuwaragampalatha- east educational zone in Anuradhapura, Sri Lanka
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20243647Keywords:
Screen addiction, Stress, School childrenAbstract
Background: Screen addiction has become a significant concern among school children in recent years due to the widespread use of digital devices such as smartphones, tablets, and computers. The objective was to assess the prevalence of screen addition and associated factors among grade 10 students in Nuwaragampalatha- east educational zone in Anuradhapura, Sri Lanka.
Methods: A cross-sectional descriptive study was carried out among students studying in grade 10. Sample size was 318. Three schools selected randomly from Type 1AB, IC and type 2 categories and proportionate to the number of students in grade 10, sample was recruited from each school. Study instruments comprised Internet addiction test, Perceived stress scale and an interviewer administered questionnaire. Multivariate logistic regression was utilized to identify associated factors of screen addiction. Probability <0.05 was selected as the significant level. The results were expressed as odds ratios (OR) and 95% confidence intervals (CI).
Results: Response rate was 100% (N=318). Mild screen addiction was reported among 29.6% (95% CI=24.6-34.9) and 20.1% (95% CI=15.9-25.0%) showed moderate level while 1.6% (95%CI=0.5-3.6) had severe addiction. Half of the students (n=155) with no screen addiction. Male sex (AOR=1.9; 95% CI=1.1-3.3; p=0.021), spending more than two hours with social media (AOR=6.1; 95% CI=3.5-13.5; p<0.001), moderate and high stress levels (AOR=3.9; 95% CI=2.3-7.0; p<0.001) and not engage in physical exercises > one hour per day (AOR=2.4; 95% CI=1.2-4.8; p=0.014) were found to be associated factors with screen addiction.
Conclusions: More than half of the students had some form of screen addiction. Except sex, other associated factors are modifiable.
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References
Li H, Luo W, He H. Association of parental screen addiction with young children’s screen addiction: a chain-mediating model. Int J Environ Res Public Health. 2022;19(19):12788.
Nakshine VS, Thute P, Khatib MN, Sarkar B. Increased screen time as a cause of declining physical, psychological health, and sleep patterns: a literary review. Cureus. 2022;14(10)
Ariyadasa G, De Silva C, Jayawardane D. Internet addiction disorder and its associated factors among 15-19-Year adolescents in Colombo District, Sri Lanka. Ceylon J Sci. 2023;52(4):433-8.
Atkin AJ, Sharp SJ, Corder K, Van Sluijs EMF. Prevalence and correlates of screen time in youth. Am J Prev Med. 2014;47(6):803-7.
Schaan CW, Cureau FV, Sbaraini M, Sparrenberger K, Kohl Iii HW, Schaan BD. Prevalence of excessive screen time and TV viewing among Brazilian adolescents: a systematic review and meta-analysis. J Pediatr. 2019;95(2):155-65.
Al-Mamun F, Hasan ME, Mostofa NB, Akther M, Mashruba T, Arif M, et al. Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study. BMC Psychiatr. 2024;24(1):322.
Peng W, Li D, Li D, Jia J, Wang Y, Sun W. School disconnectedness and Adolescent Internet Addiction: Mediation by self-esteem and moderation by emotional intelligence. Comput Hum Behav. 2019;98:111-21.
Zhou Y, Li D, Jia J, Li X, Zhao L, Sun W, et al. Interparental conflict and adolescent internet addiction: The mediating role of emotional insecurity and the moderating role of big five personality traits. Comput Hum Behav. 2017;73:470-8.
Wang L, Liu X, Liu ZZ, Jia CX. Digital media use and subsequent self-harm during a 1-year follow-up of Chinese adolescents. J Affect Disord. 2020;277:279-86.
Park S, Lee Y, Jun JY. Differences in the relationship between traumatic experiences, self-esteem, negative cognition, and Internet addiction symptoms among North Korean adolescent defectors and South Korean adolescents: a preliminary study. Psychiatr Res. 2017;257:381-5.
Zhang S, Tian Y, Sui Y, Zhang D, Shi J, Wang P, et al. Relationships between social support, loneliness, and internet addiction in Chinese postsecondary students: a longitudinal cross-lagged analysis. Front Psychol. 2018;9:1707.
Jia J, Li D, Li X, Zhou Y, Wang Y, Sun W, et al. Peer victimization and adolescent Internet addiction: The mediating role of psychological security and the moderating role of teacher-student relationships. Comput Hum Behav. 2018;85:116-24.
Biraglia A, Brizi A, Salvati V, Metastasio R, Mannetti L. Assessment and locomotion motivational concerns in internet addiction disorder. Comput Hum Behav. 2017;76:463-8.
Lin L, Liu J, Cao X, Wen S, Xu J, Xue Z, et al. Internet addiction mediates the association between cyber victimization and psychological and physical symptoms: moderation by physical exercise. BMC Psychiatr. 2020;20(1):144.
Luengo Kanacri BP, Pastorelli C, Eisenberg N, Zuffianò A, Castellani V, Caprara GV. Trajectories of prosocial behavior from adolescence to early adulthood: associations with personality change. J Adolesc. 2014;37(5):701-13.
Khan A, Lee EY, Horwood S. Adolescent screen time: associations with school stress and school satisfaction across 38 countries. Eur J Pediatr. 2022;181(6):2273-81.
Johnson AR, Sridhar PR, Joseph M. Is screen addiction a problem among rural school-going adolescents? A cross-sectional study in south Karnataka. J Indian Assoc Child Adolesc Ment Health. 2022;18(2):137-43.
Mougharbel F, Chaput JP, Sampasa-Kanyinga H, Colman I, Leatherdale ST, Patte KA, et al. Longitudinal associations between different types of screen use and depression and anxiety symptoms in adolescents. Front Public Health. 2023;11:1101594.
Hmidan A, Seguin D, Duerden EG. Media screen time use and mental health in school aged children during the pandemic. BMC Psychol. 2023;11(1):202.
Young KS. Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav. 1998;1(3):237–44.
Ariyadasa G, De Silva C, Gamagedara N. Adaptation, translation and validation of internet addiction test (IAT)-Sinhalese version to detect internet addiction disorder among 15-19-year-old adolescents in Colombo District, Sri Lanka. J Coll Community Phys Sri Lanka. 2023;29(3):139-44.
Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385.
Mendis BILM, Palihaderu PADS, Karunanayake P, Satharasinghe DA, Premarathne JMKJK, Dias WKRR, et al. Validity and reliability of the Sinhalese version of the perceived stress scale questionnaire among Sri Lankans. Front Psychol. 2023;14:1152002.
John R, Pokale A, Chutke A, Narula A, Shinde S. Prevalence of excess screen time among secondary school children in rural India: a cause for concern. J Prev Med Hyg. 2024;E457
Malhotra S, Kant S, Rath R, Ahamed F, Sathiyamoorthy R, Gupta S. Excess screen time and its associated factors among young men in a rural community of north India. Indian J Public Health. 2022;66(3):327.
Xin M, Xing J, Pengfei W, Houru L, Mengcheng W, Hong Z. Online activities, prevalence of Internet addiction and risk factors related to family and school among adolescents in China. Addict Behav Rep. 2018;7:14-8.
Krishnamurthy S, Chetlapalli S. Internet addiction: Prevalence and risk factors: a cross-sectional study among college students in Bengaluru, the Silicon Valley of India. Indian J Public Health. 2015;59(2):115.
Zhihao D, Tao W, Yingjie S, Feng Z. The influence of physical activity on internet addiction among Chinese college students: the mediating role of self-esteem and the moderating role of gender. BMC Public Health. 2024;24(1):935.
Aylaz R, Güneş G, Günaydın Y, Kocaer M, Pehlivan E. Problematic internet usage habits and related factors among high school students. Turkish Public Health J. 2015;13(3):184.
JSSAL. Nidup et al. 2022.pdf. DARIAH-DE; 2022 Available from: https://hdl.handle.net/21.11113/ 0000-000F-7399-3. Accessed on 8 September 2024.
Singh G, Sharma S, Sharma V, Zaidi SZH. Academic stress and emotional adjustment: a gender-based post-COVID study. Ann Neurosci. 2023;30(2):100-8.
Graves BS, Hall ME, Dias-Karch C, Haischer MH, Apter C. Gender differences in perceived stress and coping among college students. PloS One. 2021;16(8):e0255634.
Jiang YS, Liu TH, Qin D, Wang ZP, He XY, Chen YN. Effects of non-pharmacological interventions on youth with internet addiction: a systematic review and meta-analysis of randomized controlled trials. Front Psychiatr. 2024;14:1327200.