Introduction. The greatest risk of the formation of Internet addiction occurs in older adolescence, when the educational process requires more and more time spent on the Internet. Therefore, in studies of Internet addiction, it is necessary to distinguish between the time spent on the Internet, spent on 1) study, 2) social networks and extra-curricular content, 3) games. The relationships between sleep time as an important health factor and Internet time and symptoms of Internet addiction need further clarification. Purpose of the article: To analyse the relationship of time spent on the Internet, symptoms of Internet addiction, sleep time.

Materials and methods. Subjects: 54 high school students aged 16-17. The S. Chen test of Internet addicted behavior was used. A survey was carried out to find out the average total sleep time, being on the Internet, divided into types of activity. Descriptive statistics, correlation analysis, Kolmogorov-Smirnov test were used.

Results. 48 % or 2.1 hours are spent on studying on the Internet, 41 % or 1.9 hours on communication and entertainment content, 11 % or 0.5 hours a day on games. The total time on the Internet is highly significantly positively correlated with compulsiveness and the total score for Internet addiction. With time for studying on the Internet and compulsiveness, there is practically no correlation, as well as with the subscale of interpersonal and health problems. Time spent on social media and non-school entertainment content is especially closely associated with compulsiveness and tolerance: along with the compulsive need to return to these activities, the need to spend time on it grows. Time spent on the Internet games does not significantly correlate with Internet addiction. There are no significant correlations between sleep time and Internet addiction parameters, as well as time spent on the Internet.

Discussion. It is emphasized that, in contrast to the data of some other studies, for this sample, games in Internet did not have a noticeable addictive potential. This may be due to both less time spent playing online games and the interests and needs of older teens for successful learning and communication.

Conclusion. Sleep time practically does not depend on the level of Internet addiction and the time spent on the Internet. Consumption of educational content in absolute and relative time is in the first place, while not causing serious risks of Internet addiction. Social media and entertainment content has the greatest addictive potential across all dimensions of internet addiction, representing a disturbing trend.

The structural and temporal components of the average daily stay on the Internet and sleep time in a sample of Russian high school pupils aged 16-17 years have been determined;

The peculiarities of the correlations between the time spent on the Internet, including different types of activity, and the structure of Internet addiction have been revealed;

Tested the hypothesis about the relationship between the average daily sleep time and the components of Internet addiction, as well as the time spent on the Internet.

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