DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20200933

Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

M. Mizanur Rahman, M. Taha Arif, Fready Luke, Santha Letchumi, Fatin Nabila, Cindy Wong Zien Ling, Edmund Shin Chin Vui, Nazibah Baharin

Abstract


Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.

Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.

Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).

Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.


Keywords


Internet use, Malaysia, Sarawak, University students

Full Text:

PDF

References


Internet World Stats, 2018. Available at: https://www.internetworldstats.com/stats.htm. Accessed on 4th May 2018.

Malaysian Communications and Multimedia Commission. Internet Users Survey, 2017. Cyberjaya, Selangor Darul Ehsan: Malaysian Communications and Multimedia Commission; 2017:1-52.

Department of Statistics, Malaysia. Department of Statistics Malaysia Official Portal. Published in 2018. Available at: https://www.dosm. gov.my/v1/images/stories/files/LatestReleases/mms/BI/MMS_July13BI.pdf. Accessed 8th May 2018.

Keppell M, Suddaby G, Hard N. Assuring Best Practice in Technology-Enhanced Learning Environments. Res Learn Technol. 2015;23.

Kim SY, Kim MS, Park B, Kim JH, Choi HG. The associations between internet use time and school performance among Korean adolescents differ according to the purpose of internet use. PLOS ONE. 2017;12(4):e0174878.

Akar F. Purposes, causes and consequences of excessive internet use among Turkish adolescents. Eurasian J Educ Res. 2015;15(60):35-56.

Greydanus DE, Greydanus MM. Internet use, misuse, and addiction in adolescents: current issues and challenges. IJAMH. 2012;24(4):283-9.

Li W, O’Brien JE, Snyder SM, Howard MO. Characteristics of internet addiction/pathological internet use in U.S. university students: a qualitative-method investigation. PLOS ONE. 2015;10(2):e0117372.

Young KS. Internet addiction: the emergence of a new clinical disorder. Cyber Psychol Behav. 1998;1(3):237-244.

Shapira NA, Lessig MC, Goldsmith TD. Problematic internet use: Proposed classification and diagnostic criteria. Depress Anxiety. 2003;17(4):207-16.

American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders | DSM Library. Published in 2017. Accessed on 4th May 2018.

Spada MM. An overview of problematic Internet use. Addict Behav. 2014;39(1):3-6.

Deniz MH, Geyik SK. An empirical research on general internet usage patterns of undergraduate students. Procedia - Soc Behav Sci. 2015;195:895-904.

Choo H, Sim T, Liau AKF, Gentile DA, Khoo A. Parental influences on pathological symptoms of video-gaming among children and adolescents: a prospective study. J Child Fam Stud. 2015;24(5):1429-41.

Kuss DJ, Lopez-Fernandez O. Internet addiction and problematic internet use: a systematic review of clinical research. World J Psychiatr. 2016;6(1):143-76.

Kubey RW, Lavin MJ, Barrows JR. Internet use and collegiate academic performance decrements: early findings. J Commun. 2001;51(2):366-82.

Christakis DA. Internet Addiction: A 21st century Epidemic? BMC Med. 2010;8:61.

Krishnamurthy S, Chetlapalli SK. 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):115-21.

Yau YHC, Potenza MN, White MA. Problematic internet use, mental health and impulse control in an online survey of adults. J Behav Addict. 2013;2(2):72.

Mazhari S. Association between problematic Internet use and impulse control disorders among Iranian university students. Cyberpsychol Behav Soc Netw. 2012;15(5):270-3.

IBM SPSS. IBM SPSS Statistics for Windows. Armonk, New York, USA: IBM SPSS; 2013.

Haque M, Rahman NAA, Majumder MAA. Internet use and addiction among medical students of Universiti Sultan Zainal Abidin, Malaysia. Psychol Res Behav Manag. 2016;9:297-307.

Okwaraji FE, Aguwa EN, Onyebueke GC, Shiweobi-Eze C. Assessment of internet addiction and depression in a sample of Nigerian University undergraduates. Int Neuropsychiatr Dis J. 2015;4(3):114-22.

Institute of Medicine (US) and National Research Council (US). The Science of Adolescent Risk-Taking: Workshop Report. Washington, DC: National Academies Press (US); 2011. Available at: http://www.ncbi.nlm.nih.gov/books/NBK53418/. Accessed on 5th May, 2018.

Chou C, Hsiao M-C. Internet Addiction, Usage, Gratification, and Pleasure Experience: The Taiwan College Students’ Case. Computers Educat. 2000;35:65-80.

Niemz K, Griffiths M, Banyard P. Prevalence of pathological Internet use among university students and correlations with self-esteem, the General Health Questionnaire (GHQ), and disinhibition. Cyberpsychology Behav Impact Internet Multimed Virtual Real Behav Soc. 2005;8(6):562-70.

Neging P, Musa R, Wahab R. Unlocking the determinants of pathological internet use (PIU) among Urban millennial teens. Procedia - Soc Behav Sci. 2014;130:21-7.

Salehi M, Norozi Khalili M, Hojjat SK, Salehi M, Danesh A. Prevalence of internet addiction and associated factors among medical students from Mashhad, Iran in 2013. Iran Red Crescent Med J. 2014;16(5):e17256.