
The current study set out to examine the relationships between the levels of problematic Internet use and gender, having any addiction problems, the level of psychological symptoms, and some online experiences related to the Internet use of university students. Data was gathered from 437 university students. The results indicated that factors such as gender, level of psychological symptoms, connecting to the Internet most often at night, and using the Internet primarily to communicate with their relatives and friends and to have a good time predicted significantly the level of the problematic Internet use of the students. Moreover, the predictors differentiated in terms of the domains of the problematic Internet use.
Adult, Cross-Cultural Comparison, Male, Internet, Motivation, Adolescent, Personality Inventory, Psychometrics, Turkey, Attitude to Computers, Communication, Reproducibility of Results, Behavior, Addictive, Cross-Sectional Studies, Sex Factors, Risk Factors, Humans, Female, Students
Adult, Cross-Cultural Comparison, Male, Internet, Motivation, Adolescent, Personality Inventory, Psychometrics, Turkey, Attitude to Computers, Communication, Reproducibility of Results, Behavior, Addictive, Cross-Sectional Studies, Sex Factors, Risk Factors, Humans, Female, Students
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 82 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
