Abstract

om Arkhangelsk, Nenets Autonomous Okrug, Nadym and Simferopol. The analysis of the results included two stages. At the first stage of the study, the integral and scale indicators of the severity of Internet-dependent behavior were calculated separately for each sample of students from different regions. At the second stage of the study, the group profiles of Internet-dependent behavior were evaluated by comparing the severity of each symptom of Internet addiction within a separate sample. A common trend among modern young people of older adolescence is the tendency to develop Internet-dependent behavior, regardless of the region of residence. The analysis of group profiles of Internet-dependent behavior by comparing the severity of each symptom within a separate sample allowed us to establish general and specific characteristics of the formation of Internet-dependent behavior in students from different regions of Russia. It was revealed that with a moderate level of Internet addiction severity (the average indicator for the groups is from 47.64 to 50.63 points), all the studied samples have a uniform formation of the main addictive symptoms, which are most likely in close relationship with each other. The variability of responses of respondents from the northern and southern regions was found at the level of different sensitivity to the negative consequences of excessive Internet use. There are reasons to assume that the» threshold of susceptibility» to the negative impact of the Internet environment, beyond which intrapersonal problems and health problems arise in respondents living in the Arctic zone, is lower than in respondents from the southern region. Uncomfortable natural and climatic conditions of living in the Arctic zone, associated with extremely low temperatures, light and oxygen starvation, instability of barometric pressure, as well as with specific isolation due to distance from the mainland, cause tension in all body systems, deplete adaptive reserves and have an adverse effect on health. Thus, with a high degree of probability, the revealed differences between the samples may be due to the climatic and geographical factor, as well as closely related socio-cultural and psychophysiological factors.

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