| Study Title, Authors, Year | Study design/location | Sample size | Research findings |
| Relationships and associations between videogame and internet addiction by [21] | Cross-sectional study Eastern Turkey | 184 | -9.2% internet addicts -42.9% moderate internet addicts -15.5% digital game addicted |
| Prevalence of Internet addiction and its determinants by [22] | Cross-sectional study Western Maharashtra | 300 | -Prevalence of internet addiction was 58.87% -7.45% moderate addicts -51.42% mild addicts |
| Description of internet addiction among Chilean Medical Students by [23] | Cross-sectional study Chile | 884 | -11.5% Problematic internet users |
| Associations between internet addiction symptoms ,disordered eating and body image avoidance by [24] | Cross-sectional study France | 392 | -11% male and 9.7% female were internet addicts |
| Prevalence and risk factors of internet addiction among students at English University by [25] | Cross-sectional study East Midlands | 2257 | -3.2% internet addicts which was associated with combination of online gambling, frequent online shopping, social online activities, openness to experience, high neuroticism, and low agreeableness |
| Prevalence of internet addiction and its associated psychosocial and psychological determinants by [26] | Cross-sectional study Taiwan | 1100 and 1360 respectively | -10.6% and 17.9% internet addicts respectively -Associated factors included being male, single, student, life impairment due to internet use, duration of internet use, online gaming, recent and past suicide ideation/attempts |
| Prevalence of internet addiction disorder by [27] | Cross-sectional study Italy | 2533 | -94.19% normal internet users -5% moderate internet addicts -0.79% severe internet addicts |
| Factors influencing internet addiction in a sample of freshmen university students in China [28] | Cross-sectional study China | 3557 | -6.44% internet addicts -Risk factors include age of first exposure to internet use, age of participant, residence |
| Prevalence of internet addiction among medical students by [29] | Cross-sectional study Nigeria | 200 | -2.5% severe internet addicts -Those aged 25 - 30 years had severe internet addiction |
| Effects of Betting in Kenyan University by [30] | Cross-sectional study Kenya | 100 | -50% bet once a week, 28% bet Once a fortnight, 12% once a month. |