Assessment of internet addiction during COVID 19 pandemic in India, 2022

Thin Mon Kyaw; Soe Moe; Mya Sanda Khaing; Myat Thida Win; Ye Wint Kyaw; Sathiya Perumal; Dasari Kiranmai; Kaviya Surya Praksh; Shanthosh Kumar

doi:10.53730/ijhs.v6nS7.13053

Authors

Thin Mon Kyaw
dr.sofi8655@gmail.com
Department of Community Medicine, Faculty of Medicine, University of Cyberjaya, Malaysia. Dr Thin Mon Kyaw ORCID:0000-0003-1548-1727, Tel: +60182252711
Soe Moe Department of Community Medicine, Faculty of Medicine, Manipal University College Malaysia MUCM, Malaysia
Mya Sanda Khaing Department of Community Medicine, Faculty of Medicine, University of Cyberjaya, Malaysia
Myat Thida Win Department of Internal Medicine, Faculty of Medicine, University of Cyberjaya, Malaysia
Ye Wint Kyaw Department of Pathology, Faculty of Medicine, SEGi University, Malaysia
Sathiya Perumal Department of Community Medicine, Faculty of Medicine, University of Cyberjaya, Malaysia
Dasari Kiranmai Department of Community Medicine, Faculty of Medicine, University of Cyberjaya, Malaysia
Kaviya Surya Praksh Department of Community Medicine, Faculty of Medicine, University of Cyberjaya, Malaysia
Shanthosh Kumar Department of Community Medicine, Faculty of Medicine, University of Cyberjaya, Malaysia

Keywords:

COVID-19, Internet addiction, Internet addiction among adults aged 18 and above, India

Abstract

Introduction: The effect of COVID-19-related changes (such as disturbance of face-to-face human association, breakdown of propensities, vulnerability almost long-term, money related frailty, and depression) on people's mental well-being. The enormous utilize of the Web can be a double-edged sword: on the one hand, get to to innovation has cultivated people's well-being and has encouraged the get to to social back; on the other hand, it may have turned into tricky utilize, particularly with respect to compulsive utilize and cognitive distraction. Methods: A sample of 311 was calculated by using the Raosoft software. Descriptive analysis, univariate analysis and multivariate analysis were carried out. Binary logistic regression and multiple logistic regression were used for analysis to access the associated factors with internet addiction. Results: The majority of respondents 323(61.5%) belonged to the normal level of internet addiction, which was followed by Moderate level of internet addiction by 113(21.5%) respondents. 8(1.5%) respondents were severely addicted to internet. Conclusion: During COVID 19 pandemic, the prevalence of psychological problems such as Internet Addiction increased especially among young adults. Therefore, national policy should be refined to reduce the stressful lifestyle in order to reduce the impact of internet addiction especially for young adults in India.

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