Problematic internet use, depression, stress and anxiety amongadolescents in an urban area in South India: a cross sectional study
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20212592Keywords:
Problematic Internet use, Stress, Anxiety, Depression, Adolescence, DASS-21Abstract
Background: Internet usage is ubiquitous, especially among young population in urban India. The present study aims to assess the burden of problematic internet use and to determine its association with depression, anxiety and stress among adolescents in urban South India. We have also assessed the role of parental/care giver factors in internet usage among the adolescents.
Methods: This was a school based cross sectional study among two high schools in urban field practice area. The students were administered validated questionnaire on sociodemographic details, parental/care giver factors, pattern of internet usage, problematic and risky internet use screening scale as well as depression, anxiety and stress scale-21.The descriptive data was analysed as proportions and associations were determined using Chi square tests.
Results: 24% of students had PIU and this was significantly associated with stress, depression and anxiety. 33% had stress and class of studying was found to be the only significant determinant. Almost half (48%) had depression and class of studying, type of family as well as mother’s occupation were the significant determinants. Half (50%) had anxiety with the significant determinants being age, class of studying, type of family, type of school, religion and father’s education. The only common factor found to significantly affect internet usage was parental rule setting and supervision.
Conclusions: Depression, stress and anxiety were associated with PIU. Setting and enforcing reasonable rules while maintaining trust and emotional support is essential to protect adolescents from the harmful effects of problematic internet usage.
References
Internet usage in India statistics & facts. Available at: https://www.statista.com/topics/2157/internet-usage-in-india/. Accessed on 20 February 2021.
Internet addiction disorder signs, symptoms, and treatments. Available at: https://www.psycom.net/ iadcriteria.html. Accessed on 20 February 2021.
Davis RA. A cognitive-behavioral model of pathological Internet use. Comput Hum Behav. 2001; 17(2):187-95.
Caplan SE. Relations among loneliness, social anxiety, and problematic internet use. Cyberpsychology Behav Impact Internet Multimed Virtual Real Behav Soc. 2007;10(2):234-42.
Starcevic V. Problematic Internet use: a distinct disorder, a manifestation of an underlying psychopathology, or a troublesome behaviour?. World Psychiatry. 2010;9(2):92-3.
Kuss DJ, Griffiths MD, Pontes HM. DSM-5 diagnosis of Internet Gaming Disorder: Some ways forward in overcoming issues and concerns in the gaming studies field. J Behav Addict. 6(2):133-41.
Problematic internet use. Available at: https://www. education.vic.gov.au/about/programs/bullystoppers/Pages/adviceprobleminternetuse.aspx. Accessed on 20 February 2021.
Beard KW, Wolf EM. Modification in the proposed diagnostic criteria for Internet addiction. Cyber-psychology Behav Impact Internet Multimed Virtual Real Behav Soc. 2001;4(3):377-83.
Ko CH, Yen JY, Chen CS, Yeh YC, Yen CF. Predictive values of psychiatric symptoms for internet addiction in adolescents: a 2-year prospective study. Arch Pediatr Adolesc Med. 2009;163(10):937-43.
Yoo HJ, Cho SC, Ha J, Yune SK, Kim SJ, Hwang J, et al. Attention deficit hyperactivity symptoms and internet addiction. Psychiatry Clin Neurosci. 2004; 58(5):487-94.
Akin A, Iskender M. Internet addiction and depression, anxiety, and stress. Int Online J Educ Sci IOJES. 2011;3:138-48.
Bhat A, Cherian A, Thomas C, Thomas C, Jain P, Bhat S, et al. Problematic internet use among Indian adolescents: Findings from a sample of undergraduate students P. J Evol Med Dent Sci. 2016;5(53):3491-5.
The european school survey project on alcohol and other drugs. Available at: http://www.espad.org/. Accessed on 20 February 2021.
Jelenchick LA, Eickhoff J, Christakis DA, Brown RL, Zhang C, Benson M, et al. The problematic and risky internet use screening scale (PRIUSS) for adolescents and young adults: scale development and refinement. Comput Hum Behav. 2014;35.
Depression anxiety stress scales short form (DASS-21). Available at: https://novopsych.com.au/ assessments/depression-anxiety-stress-scales-short-form-dass-21/. Accessed on 20 February 2021.
Sanjeev D, Davey A, Singh J. Emergence of problematic internet use among indian adolescents: a multi method study. Child Adolesc Ment Health. 2016;12:60-78.
Gnisci A, Perugini M, Pedone R, Di Conza A. Construct validation of the Use, Abuse and dependence on the tnternet inventory. Comput Hum Behav. 2011;27(1):240-7.
Adiele I, Olatokun W. Prevalence and determinants of Internet addiction among adolescents. Comput Hum Behav. 2014;31:100-10.
Chang MK, Man Law SP. Factor structure for Young’s Internet Addiction Test: A confirmatory study. Comput Hum Behav. 2008;24(6):2597-619.
Hoare E, Milton K, Foster C, Allender S. Depression, psychological distress and Internet use among community-based Australian adolescents: a cross-sectional study. BMC Public Health. 2017;17(1):365.
Lim CH, Kim EJ, Kim JH, Lee JS, Lee Y, Park SH. The correlation of depression with Internet use and body image in Korean adolescents. Korean J Pediatr. 2017;60(1):17-23.
Caplan S. Preference for Online Social Interaction: A Theory of Problematic Internet Use and Psychosocial Well-Being. Commun Res. 2003;30:625-48.
Park S, M Hong K-E, Park EJ, Ha K, Yoo H. The association between problematic internet use and depression, suicidal ideation and bipolar disorder symptoms in Korean adolescents. Aust N Z J Psychiatry. 2012;9:47.
Jha KK, Singh SK, Nirala SK, Kumar C, Kumar P, Aggrawal N. Prevalence of Depression among School-going Adolescents in an Urban Area of Bihar, India. Indian J Psychol Med. 2017;39(3):287-92.
V UK, K U, P MMT, Pavithran K. Prevalence and risk factors associated with depression among higher secondary school students residing in a boarding school of North Kerala, India. Int J ContempPediatr. 2017;4(3):735-40.
Daya A P, G K. Depression, anxiety, stress and its correlates among urban school going adolescents in Tamilnadu, India. Int J Res Med Sci. 2018;6(8):2813-7.
Deb S, Walsh K. Anxiety among high school students in india: comparisons across gender, school type, social strata and perceptions of quality time with parents. Aust J Educ Dev Psychol. 2010;10:18-31.
Lin CH, Lin SL, Wu CP. The effects of parental monitoring and leisure boredom on adolescents’ Internet addiction. Adolescence. 2009;44(176):993-1004.
Jhala J, Sharma R. Prevalence and nature of internet use among adolescents in Vadodara (Gujarat). Int J Indian Psychol. 2017;4:2348-96.
Yusuf S, Osman N, Hassan SH, Teimoury M. Parents’ influence on children’s online usage. Procedia Soc Behav Sci. 2014;155:81-6.