Cureus · 2025
Identifying Indicators for the Early Detection of Internet Addiction Among University Students.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Koichiro Fujimaki, Morinobu Shigeru
Аннотация
BACKGROUND: Internet 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.
RESULTS: Internet 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.
CONCLUSION: The 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.
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.
RESULTS: Internet 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.
CONCLUSION: The 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.