ArticleCureus2025
Identifying Indicators for the Early Detection of Internet Addiction Among University Students.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Phenotypes associated with problematic online gaming and gambling: A clustering approach among young adults.Addictive behaviors reports · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternet use has been reported to cause disturbances in eating and sleeping habits. The results of a survey conducted by the Japanese Ministry of Education, Culture, Sports, Science and Technology indicated the need to investigate Internet addiction, which was defined as a dependence on the process of action, similar to gambling and shopping addictions. Therefore, this study aimed to identify the factors associated with a tendency to be dependent on the Internet and to examine the indicators for early detection of such dependence among university students. METHODOLOGY: A questionnaire survey regarding the actual use of smartphones, the environment surrounding their use, and relationships with the tendency to depend on the Internet was conducted on 765 university students.
resultsInternet addiction test (IAT) scores were significantly correlated with the numbers of acquaintances communicated with on social media and the number of social media usage situations. The results of the multiple regression analysis showed that IAT scores could be predicted based on the number of social media use situations.
conclusionThe findings of this study suggest that the greater the number of usage situations, the stronger the tendency to lose control of usage, and that the number of usage situations can be an indicator for identifying Internet addiction.
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