ASSOCIATION AND IMPACT OF SEVERAL RISK FACTORS OF INTERNET ADDICTION DURING COVID-19 PANDEMIC AMONG UNIVERSITY STUDENTS IN THE SOUTHERN PART OF BANGLADESH

Authors

  • Sabiha Shirin Sara Statistics Discipline, Khulna University, Khulna 9208, Bangladesh
  • Md. Asikur Rahman Statistics Discipline, Khulna University, Khulna-9208, Bangladesh
  • Md. Akhtarul Islam Statistics Discipline, Khulna University, Khulna-9208, Bangladesh
  • Ashis Talukder Statistics Discipline, Khulna University, Khulna-9208, Bangladesh

DOI:

https://doi.org/10.53808/KUS.2022.ICSTEM4IR.0078-se

Keywords:

Risk factors, Internet addiction, Mental health condition, Depression, Anxiety, Stress

Abstract

Internet addiction seems to have become a tremendous issue around the world during the COVID-19 pandemic situation. This study intends to investigate the underlying components and their consequences on internet addiction. Our study included about 348 participants from university students of the southern part of Bangladesh. The sample was obtained via convenience sampling strategy. Univariate analysis comprised frequencies with percentages, Chi-square test was used to determine the relationship between variables. With the help of multinomial logistic regression, the effect of various risk factors was found simultaneously. Our evaluation will be designated to indicate that majority respondents are moderate and addicted internet users. This may also reveal the significant risk factors: preferred place of using internet (RRR = 0.222, CI = [0.061,0.0811]), time since first internet use (RRR = 0.211, CI = [0.056,0.799]). Moreover, mental health condition such as depression (p-value < 0.01), anxiety (p-value = 0.006), and stress (p-value = 0.034) indicated significant relationship with internet addiction. Based on our findings, we were able to identify risk factors that could aid in the reduction of internet addiction.

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References

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Chowdhury, A. T., Siddiqua, S. R., Rahman, L., Hossian, M., & Nabi, M. H. (2022). Internet addiction during COVID-19 restricted movement period: A cross-sectional study from Bangladesh (11:519). F1000Research. https://doi.org/10.12688/f1000research.108664.1

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Kuss, D. J., Griffiths, M. D., & Binder, J. F. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29(3), 959–966. https://doi.org/10.1016/j.chb.2012.12.024

Laconi, S., Kaliszewska-Czeremska, K., Gnisci, A., Sergi, I., Barke, A., Jeromin, F., Groth, J., Gamez-Guadix, M., Ozcan, N. K., Demetrovics, Z., Király, O., Siomos, K., Floros, G., & Kuss, D. J. (2018). Cross-cultural study of Problematic Internet Use in nine European countries. Computers in Human Behavior, 84, 430–440. https://doi.org/10.1016/j.chb.2018.03.020

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Liang, L., Li, C., Meng, C., Guo, X., Lv, J., Fei, J., & Mei, S. (2022). Psychological distress and internet addiction following the COVID-19 outbreak: Fear of missing out and boredom proneness as mediators. Archives of Psychiatric Nursing. https://doi.org/10.1016/j.apnu.2022.03.007

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Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33(3), 335–343. https://doi.org/10.1016/0005-7967(94)00075-U

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Mustafa, M. Y., Rose, N. N., & Ishak, A. S. (2020). Internet Addiction and Family Stress: Symptoms, Causes and Effects. Journal of Physics: Conference Series, 1529(3), 032017. https://doi.org/10.1088/1742-6596/1529/3/032017

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Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C.-C., Chen, K. C., Yang, Y. C., & Yang, Y. K. (2009). The risk factors of Internet addiction—A survey of university freshmen. Psychiatry Research, 167(3), 294–299. https://doi.org/10.1016/j.psychres.2008.01.015

Weinstein, A., & Lejoyeux, M. (2010). Internet Addiction or Excessive Internet Use. The American Journal of Drug and Alcohol Abuse, 36(5), 277–283. https://doi.org/10.3109/00952990.2010.491880

al Mamun, F., Hosen, I., Misti, J. M., Kaggwa, M. M., & Mamun, M. A. (2021). Mental Disorders of Bangladeshi Students During the COVID-19 Pandemic: A Systematic Review. Psychology Research and Behavior Management, 14, 645–654. https://doi.org/10.2147/PRBM.S315961

Baturay, M. H., & Toker, S. (2019). Internet addiction among college students: Some causes and effects. Education and Information Technologies, 24(5), 2863–2885. https://doi.org/10.1007/s10639-019-09894-3

Bukhari, S. A. (2021). Sample Size Determination Using Krejcie and Morgan Table. https://doi.org/10.13140/ RG.2.2.11445.19687

Cao, F., & Su, L. (2007). Internet addiction among Chinese adolescents: Prevalence and psychological features. Child: Care, Health and Development, 33(3), 275–281. https://doi.org/10.1111/j.1365-2214.2006.00715.x

Chandrima, R. M., Kircaburun, K., Kabir, H., Riaz, B. K., Kuss, D. J., Griffiths, M. D., & Mamun, M. A. (2020). Adolescent problematic internet use and parental mediation: A Bangladeshi structured interview study. Addictive Behaviors Reports, 12, 100288. https://doi.org/10.1016/j.abrep.2020.100288

Chowdhury, A. T., Siddiqua, S. R., Rahman, L., Hossian, M., & Nabi, M. H. (2022). Internet addiction during COVID-19 restricted movement period: A cross-sectional study from Bangladesh (11:519). F1000Research. https://doi.org/10.12688/f1000research.108664.1

COVID-19 General Information. (n.d.). IEDCR. Retrieved April 17, 2022, from https://iedcr.gov.bd/covid-19/covid-19-general-information

De Vries, H. T., Nakamae, T., Fukui, K., Denys, D., & Narumoto, J. (2018). Problematic internet use and psychiatric co-morbidity in a population of Japanese adult psychiatric patients. BMC Psychiatry, 18(1), 9. https://doi.org/10.1186/s12888-018-1588-z

Dong, H., Yang, F., Lu, X., & Hao, W. (2020). Internet Addiction and Related Psychological Factors Among Children and Adolescents in China During the Coronavirus Disease 2019 (COVID-19) Epidemic. Frontiers in Psychiatry, 11. https://www.frontiersin.org/article/10.3389/fpsyt.2020.00751

Eidi, A., & Delam, H. (2020). Internet addiction is likely to increase in home quarantine caused by coronavirus disease 2019 (COVID 19). Journal of Health Sciences & Surveillance System, 8(3), 142–143. https://doi.org/10.30476/jhsss.2020.87015.1104

Hamami, M., Aziz, G. G. A., & Sa’id, M. (2022). Stress and Internet Addiction in College Students During the COVID-19 Pandemic. KnE Social Sciences, 297–309. https://doi.org/10.18502/kss.v7i1.10219

Hassan, T., Alam, M. M., Wahab, A., & Hawlader, M. D. (2020). Prevalence and associated factors of internet addiction among young adults in Bangladesh. Journal of the Egyptian Public Health Association, 95(1), 3. https://doi.org/10.1186/s42506-019-0032-7

Henry, J. D., & Crawford, J. R. (2005). The short-form version of the Depression anxiety stress scales (DASS-21): Construct validity and normative data in a large non-clinical sample. British Journal of Clinical Psychology, 44(2), 227–239. https://doi.org/10.1348/014466505X29657

Islam, A., & Hossin, M. Z. (2016). Prevalence and risk factors of problematic internet use and the associated psychological distress among graduate students of Bangladesh. Asian Journal of Gambling Issues and Public Health, 2016, 1–14. https://doi.org/10.1186/s40405-016-0020-1

Islam, Md. A., & Hossin, M. Z. (2016). Prevalence and risk factors of problematic internet use and the associated psychological distress among graduate students of Bangladesh. Asian Journal of Gambling Issues and Public Health, 6(1), 11. https://doi.org/10.1186/s40405-016-0020-1

Iyitoğlu, O., & Çeliköz, N. (2017). EXPLORING THE IMPACT OF INTERNET ADDICTION ON ACADEMIC ACHIEVEMENT. European Journal of Education Studies, 0, Article 0. https://doi.org/10.46827/ejes.v0i0.624

Jahan, I., Hosen, I., al Mamun, F., Kaggwa, M. M., Griffiths, M. D., & Mamun, M. A. (2021). How Has the COVID-19 Pandemic Impacted Internet Use Behaviors and Facilitated Problematic Internet Use? A Bangladeshi Study. Psychology Research and Behavior Management, 14, 1127–1138. https://doi.org/10.2147/PRBM.S323570

Khubchandani, J., Sharma, S., & Price, J. H. (2021). COVID-19 Pandemic and the Burden of Internet Addiction in the United States. Psychiatry International, 2(4), 402–409. https://doi.org/10.3390/psychiatryint2040031

Kuss, D. J., Griffiths, M. D., & Binder, J. F. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29(3), 959–966. https://doi.org/10.1016/j.chb.2012.12.024

Laconi, S., Kaliszewska-Czeremska, K., Gnisci, A., Sergi, I., Barke, A., Jeromin, F., Groth, J., Gamez-Guadix, M., Ozcan, N. K., Demetrovics, Z., Király, O., Siomos, K., Floros, G., & Kuss, D. J. (2018). Cross-cultural study of Problematic Internet Use in nine European countries. Computers in Human Behavior, 84, 430–440. https://doi.org/10.1016/j.chb.2018.03.020

Lam, L. T. (2014). Internet gaming addiction, problematic use of the Internet, and sleep problems: A systematic review. In Current Psychiatry Reports (Vol. 16, Issue 4). Current Medicine Group LLC 1. https://doi.org/10.1007/s11920-014-0444-1

Liang, L., Li, C., Meng, C., Guo, X., Lv, J., Fei, J., & Mei, S. (2022). Psychological distress and internet addiction following the COVID-19 outbreak: Fear of missing out and boredom proneness as mediators. Archives of Psychiatric Nursing. https://doi.org/10.1016/j.apnu.2022.03.007

Lin, M.-P. (2020). Prevalence of Internet Addiction during the COVID-19 Outbreak and Its Risk Factors among Junior High School Students in Taiwan. International Journal of Environmental Research and Public Health, 17(22), 8547. https://doi.org/10.3390/ijerph17228547

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Mustafa, M. Y., Rose, N. N., & Ishak, A. S. (2020). Internet Addiction and Family Stress: Symptoms, Causes and Effects. Journal of Physics: Conference Series, 1529(3), 032017. https://doi.org/10.1088/1742-6596/1529/3/032017

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16-11-2022

How to Cite

[1]
S. S. . Sara, M. A. Rahman, M. A. . Islam, and A. . Talukder, “ASSOCIATION AND IMPACT OF SEVERAL RISK FACTORS OF INTERNET ADDICTION DURING COVID-19 PANDEMIC AMONG UNIVERSITY STUDENTS IN THE SOUTHERN PART OF BANGLADESH”, Khulna Univ. Stud., pp. 432–442, Nov. 2022.

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