A study by Sajeev Kumar et al., (2016) indicates that total prevalence of Internet Addiction among adolescent students in one of northern districts in Kerala was 13.4%, with 1.2% severe, 32.9% moderate and 65.9% mild Internet Addiction. Arjunan, N. K. & Moncy Edward (2016) reported that the university entrants of Kerala do not have severe internet dependency. Only 2.65% of them are in the severe range and majority of them (55.68%) are in the normal range of internet addiction.
Several reasons are attributed to the obvious vast differences in the prevalence rates of Internet Addiction. Cash, H., Rae, C. D., Steel, A. H., & Winkler, A. (2012) consider that the differences in diagnostic criteria and assessment tools in different countries as well as frequent very selective online surveys samples are the attributable reasons for the huge variations in the reported prevalence rates (from 0.3% to 38%) of Internet Addiction Disorder. According to Weinstein & Lejoyeux, (2010), alarming differences in the prevalence rates are due to differences in the “methodologies, cultural factors, outcomes and assessment tools”. Differences in the assessment tools and cut-offs are the reasons for variations in the reported prevalence rates (Kuss. et. al. (2014). Similarly, Gunuc, (2016) assumes that the vast differences might be due to “differences in culture, access to technology, age, parental education, levels of income, different measurement tools and different measurement techniques, time of research conducted and selection of research samples”


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