Use and Addiction of Smartphone in Adolescence Students in Bangladesh: Social Networking and Gaming Service

  • Somaresh Kumar Mondal Department of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
  • Gowranga Kumar Paul Department of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
  • Md. Aminur Islam Department of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
  • Masuma Pervin Sharna Department of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
  • Muna Akter Department of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
  • Md. Rashidul Islam Department of Statistics, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
Keywords: Smartphone, adolescence, social networking service, gaming addiction

Abstract

Smartphone becomes most popular in adolescence students for special feature like social networking and gaming service. Although smartphone are useful and convenient, adolescences are dependent on smartphone more and more for unnecessary communication. This study attempts to identify use patterns of smartphone and enlightened factors of the smartphone addiction in adolescence student in Bangladesh. For this cross-sectional study, 385 adolescence students were selected by stratified sampling with proportional allocation and also use a structured questionnaire has been developed to gathered data from adolescence students. More than 50% early adolescence students spend at least 3 hours on smartphone in a day for purpose of social media like you tube, facebook whereas 80.9% late adolescence students spend time on playing online game on smartphone.More than half (51.9%) of the parents encourages their early adolescence child use smartphone whereas friends encourages more (78.3%) late adolescence students.

References

Statista (2017) Number of smartphone users worldwide from 2014 to 2020. Available at: https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/

Mezei G, Benyi M, Muller A: Mobile phone ownership and use among school children in three Hungarian cities. Bioelectromagnetics 2007, 28:309–315. Hassoy et al. Environmental Health 2013, 12:10 Page 9 of 10 http://www.ehjournal.net/content/12/1/10.

Söderqvist F, Hardell L, Carlberg M, Mild KH: Ownership and use of wireless telephones: a population-based study of Swedish children aged 7–14 years. BMC Publ Health 2007, 7:105.

Thomas S, Heinrich S, Kühnlein A, Radon K: The association between socioeconomic status and exposure to mobile telecommunication networks in children and adolescents. Bioelectromagnetics 2010, 31:20–27.

Kraut R, Patterson M, Lundmark V, et al. (1998) Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist 53: 1011–1031.

Morahan-Martin J (1999) The relationship between loneliness and Internet use and abuse. CyberPsychology and Behavior 2: 431–440.

Scherer K (1997) College life online: Healthy and unhealthy Internet use. Journal of College Student Development 38: 655–665.

Heron D and Shapira NA (2004) Time to log off: New diagnostic criteria for problematic internet use. Current Psychiatry 2(4): 21–29.

Young KS (1999) Internet addiction: Symptoms, evaluation, and treatment. In: Vandecreek L, Knapp S and Jackson TL (eds) Innovations in Clinical Practice: A Sourcebook. Sarasota, FL: Professional Resource Press, pp. 1–13.

Wajcman J, Bittman M, Jones P, et al. (2007) The Impact of the Mobile Phone on Work/Life Balance. Canberra: Australian National University.

Shaffer HJ (1996) Understanding the means and objects of addiction: Technology, the internet, and gambling. Journal of Gambling Studies 124(4): 461–469.

Van Deursen AJ, Bolle CL, Hegner SM, et al. (2015) Modelling habitual and addictive smartphone behaviour: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior 45: 411–420.

Young KS (1998) Internet addiction: The emergence of a new clinical disorder. CyberPsychology and Behavior 1(3): 237–244.

Divan HA, Khelfets L, Obel C, et al. (2012) Cell phone use and behavioural problems in young children. Journal of Epidemiology & Community Health 66: 524–539.

Kim D, Lee Y, Lee J, Nam JK, Chung Y (2014) Development of Korean Smartphone Addiction Proneness Scale for Youth. PLoS ONE 9(5): e97920. doi:10. 1371/journal.pone.0097920.

Young KS (1998) Internet addiction: The emergence of a new clinical disorder. CyberPsychology and Behavior 1(3): 237–244.

Grant J, Potenza M, Weinstein A, et al. (2010) Introduction to behavioral addictions. The American Journal of Drug and Alcohol Abuse 36: 233–241.

Griffiths MD (2005) A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use 10: 191–197.

Samaha M and Hawi NS (2016) Relationships among smartphone addiction stress, academic performance, and satisfaction with life. Computers in Human Behavior 57: 321–325.

Nie NH and Erbring L (2000) Debating the societal effects of the internet: Connecting with the world. Public Perspective 11: 42–43.

Divan HA, Khelfets L, Obel C, et al. (2012) Cell phone use and behavioural problems in young children. Journal of Epidemiology & Community Health 66: 524–539.

Tsitsika A, Critselis E, Kormas G, et al. (2009) Adolescent pornographic internet site use: A multivariate regression analysis of the predictive factors of use and psychosocial implications. CyberPsychology and Behavior 12: 545–550.

Ybarra M and Mitchell KJ (2005) Exposure to internet pornography among children and adolescents: A national survey. CyberPsychology and Behavior 8: 473–486.

Billieux J, Linden M and Rochat L (2008) The role of impulsivity in actual and problematic use of the mobile phone. Applied Cognitive Psychology 22: 1195–1210.

Lemish D and Cohen AA (2005) On the gendered nature of mobile phone culture in Israel. Sex Roles 52: 511–521.

Rees H and Noyes JM (2007) Mobile telephones, computers, and the internet: Sex differences in adolescents’ use and attitudes. CyberPsychology and Behavior 10: 482–484.

Zulkefly SN and Baharudin R (2009) Mobile phone use amongst students in a university of Malaysia: Its correlates and relation to psychological health. European Journal of Scientific Research 37: 206–218.

Earl R., Babbie (2009). The Practice of Social Research, 12th edition, Wadsworth Publishing, ISBN 0-495-59841-0, pp. 436–440

Karl P., (1900). "On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling" (PDF). Philosophical Magazine. Series 5. 50. 157 175. doi:10.1080/14786440009463897.

The State of the World's Children (SOWC) 2011: Adolescence -an Age of Opportunity.

Published
2020-03-20
Section
Articles